Publications by authors named "Feng Hou"

103 Publications

Multi-parametric MRI-based radiomics signature for preoperative prediction of Ki-67 proliferation status in sinonasal malignancies: a two-centre study.

Eur Radiol 2022 Jun 10. Epub 2022 Jun 10.

The Department of Radiology, The Affiliated Hospital of Qingdao University, 16, Jiangsu Road, Qingdao, 266003, China.

Objective: To assess the predictive ability of a multi-parametric MRI-based radiomics signature (RS) for the preoperative evaluation of Ki-67 proliferation status in sinonasal malignancies.

Methods: A total of 128 patients with sinonasal malignancies that underwent multi-parametric MRIs at two medical centres were retrospectively analysed. Data from one medical centre (n = 77) were used to develop the predictive models and data from the other medical centre (n = 51) constitute the test dataset. Clinical data and conventional MRI findings were reviewed to identify significant predictors. Radiomics features were determined using maximum relevance minimum redundancy and least absolute shrinkage and selection operator algorithms. Subsequently, RSs were established using a logistic regression (LR) algorithm. The predictive performance of RSs was assessed using calibration, decision curve analysis (DCA), accuracy, and AUC.

Results: No independent predictors of high Ki-67 proliferation were observed based on clinical data and conventional MRI findings. RS-T1, RS-T2, and RS-T1c (contrast enhancement T1WI) were established based on a single-parametric MRI. RS-Combined (combining T1WI, FS-T2WI, and T1c features) was developed based on multi-parametric MRI and achieved an AUC and accuracy of 0.852 (0.733-0.971) and 86.3%, respectively, on the test dataset. The calibration curve and DCA demonstrated an improved fitness and benefits in clinical practice.

Conclusions: A multi-parametric MRI-based RS may be used as a non-invasive, dependable, and accurate tool for preoperative evaluation of the Ki-67 proliferation status to overcome the sampling bias in sinonasal malignancies.

Key Points: • Multi-parametric MRI-based radiomics signatures (RSs) are used to preoperatively evaluate the proliferation status of Ki-67 in sinonasal malignancies. • Radiomics features are determined using maximum relevance minimum redundancy (mRMR) and least absolute shrinkage and selection operator (LASSO) algorithms. • RSs are established using a logistic regression (LR) algorithm.
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http://dx.doi.org/10.1007/s00330-022-08780-wDOI Listing
June 2022

Preparation and Properties of Highly Elastic, Lightweight, and Thermally Insulating SiO Fibrous Porous Materials.

Materials (Basel) 2022 Apr 23;15(9). Epub 2022 Apr 23.

Key Lab of Advanced Ceramics and Machining Technology of Ministry of Education, School of Materials Science and Engineering, Tianjin University, Tianjin 300072, China.

Fibrous porous materials are one of the most commonly used high-temperature insulation materials because of their high porosity and low thermal conductivity. Due to their wide applications in the aerospace and energy industries, the investigation of high-elastic thermally insulating porous materials has attracted increasing attention. In order to improve the elasticity of fibrous porous materials, quartz fibers with high aspect ratio were used as matrix, sodium hexametaphosphate (SHMP) was selected as dispersant. We innovatively reported that a unique three-dimensional skeleton structure was constructed by adjusting the dispersion of fibers in the slurry, and the lightweight, thermal insulating and elastic SiO fibrous porous material was then prepared by the compression molding method. The characterization results of zeta potential and absorbance showed that the addition of SHMP was an effective method to enhance the dispersibility of quartz fibers in the slurry. SiO fibrous porous materials with 0.4 wt% SHMP content exhibited an ideal three-dimensional skeleton structure, which endowed the porous material with high porosity (89.39%), low density (0.04751 g/cm), and low thermal conductivity (0.0356 W·m·K). The three-dimensional skeleton structure formed by overlapping fibers with high aspect ratios endowed the porous material with excellent elasticity. SiO fibrous porous materials with 0.4 wt% SHMP content could undergo large strains of 30% and achieved a resilience ratio of 81.69% under the 30th compression cycle. Moreover, after heat treatment at 800 °C, SiO fibrous porous materials also maintained good elasticity with a resilience ratio of more than 80%.
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http://dx.doi.org/10.3390/ma15093069DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9100184PMC
April 2022

Clinical outcome of photodynamic therapy for the treatment of cervical intraepithelial neoplasia grade 2.

Photodiagnosis Photodyn Ther 2022 May 14;39:102906. Epub 2022 May 14.

College of Resource Environment and Tourism, Hubei University of Arts and Science, No. 296 Longzhong Road, Xiangcheng District, Xiangyang, Hubei Province 441053, China. Electronic address:

Five-aminolaevulinic acid photodynamic therapy (ALA-PDT) was used to treat 79 cervical intraepithelial neoplasia 2 (CIN 2) patients who desired preservation of fertility ,between Oct 2018 and Dec 2020. Three months after treatment, among the 65 patients who returned for follow-up, full recovery and improvement rates were 43/65 and 16/65, respectively, resulting in a total response rate of 90.77%. This suggests that ALA-PDT is worthy of clinical application, even as monotherapy. The result of immune testing also indicated significant promotion of CD4+T expression during the recovery process, highlighting the importance of immune responses in different prognoses.
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http://dx.doi.org/10.1016/j.pdpdt.2022.102906DOI Listing
May 2022

Hundred-gram scale fabrication of few-layered silicene by a continuous vapor-dealloying strategy for high-performance lithium storage.

Chem Commun (Camb) 2022 May 10;58(38):5717-5720. Epub 2022 May 10.

Key Laboratory of Advanced Ceramics and Machining Technology of Ministry of Education, School of Materials Science and Engineering, Tianjin University, Tianjin 300072, China.

A continuous vapor de-alloying strategy for a hundred-gram scale fabrication of silicene is developed by etching CaSi using waste polyvinyl chloride (PVC). The as-obtained few-layered silicene can be readily assembled with carbon nanotubes into flexible electrodes for lithium storage with excellent performance, which stably deliver a high capacity and stability. This strategy can be extended to other silicon analogs with various structures by selecting precursors such as MgSi and Al/Si alloy.
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http://dx.doi.org/10.1039/d2cc01116fDOI Listing
May 2022

A computed tomography-based radiomics signature for predicting expression of programmed death ligand 1 in head and neck squamous cell carcinoma.

Eur Radiol 2022 Mar 17. Epub 2022 Mar 17.

Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China.

Objectives: Accurate prediction of the expression of programmed death ligand 1 (PD-L1) in head and neck squamous cell carcinoma (HNSCC) before immunotherapy is crucial. This study was performed to construct and validate a contrast-enhanced computed tomography (CECT)-based radiomics signature to predict the expression of PD-L1 in HNSCC.

Methods: In total, 157 patients with confirmed HNSCC who underwent CECT scans and immunohistochemical examination of tumor PD-L1 expression were enrolled in this study. The patients were divided into a training set (n = 104; 62 PD-L1-positive and 42 PD-L1-negative) and an external validation set (n = 53; 34 PD-L1-positive and 19 PD-L1-negative). A radiomics signature was constructed from radiomics features extracted from the CECT images, and a radiomics score was calculated. Performance of the radiomics signature was assessed using receiver operating characteristics analysis.

Results: Nine features were finally selected to construct the radiomics signature. The performance of the radiomics signature to distinguish between a PD-L1-positive and PD-L1-negative status in both the training and validation sets was good, with an area under the receiver operating characteristics curve of 0.852 and 0.802 for the training and validation sets, respectively.

Conclusions: A CECT-based radiomics signature was constructed to predict the expression of PD-L1 in HNSCC. This model showed favorable predictive efficacy and might be useful for identifying patients with HNSCC who can benefit from anti-PD-L1 immunotherapy.

Key Points: • Accurate prediction of the expression of PD-L1 in HNSCC before immunotherapy is crucial. • A CECT-based radiomics signature showed favorable predictive efficacy in estimation of the PD-L1 expression status in patients with HNSCC.
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http://dx.doi.org/10.1007/s00330-022-08651-4DOI Listing
March 2022

Value of contrast-enhanced CT based radiomic machine learning algorithm in differentiating gastrointestinal stromal tumors with KIT exon 11 mutation: a two-center study.

Diagn Interv Radiol 2022 Jan;28(1):29-38

Department of Colorectal Surgery, the Affiliated Hospital of Qingdao University (Pingdu), Shandong, China.

PURPOSE Knowing the genetic phenotype of gastrointestinal stromal tumors (GISTs) is essential for patients who receive therapy with tyrosine kinase inhibitors. The aim of this study was to develop a radiomic algorithm for predicting GISTs with KIT exon 11 mutation. METHODS We enrolled 106 patients (80 in the training set, 26 in the validation set) with clinicopathologically confirmed GISTs from two centers. Preoperative and postoperative clinical characteristics were selected and analyzed to construct the clinical model. Arterial phase, venous phase, delayed phase, and tri-phase combined radiomics algorithms were generated from the training set based on contrast-enhanced computed tomography (CE-CT) images. Various radiomics feature selection methods were used, namely least absolute shrinkage and selection operator (LASSO); minimum redundancy maximum relevance (mRMR); and generalized linear model (GLM) as a machine-learning classifier. Independent predictive factors were determined to construct preoperative and postoperative radiomics nomograms by multivariate logistic regression analysis. The performances of the clinical model, radiomics algorithm, and radiomics nomogram in distinguishing GISTs with the KIT exon 11 mutation were evaluated by area under the curve (AUC) of the receiver operating characteristics. RESULTS Of 106 patients who underwent genetic analysis, 61 had the KIT exon 11 mutation. The combined radiomics algorithm was found to be the best prediction model for differentiating the expression status of the KIT exon 11 mutation (AUC = 0.836; 95% confidence interval [CI], 0.640-0.951) in the validation set. The clinical model, and preoperative and postoperative radiomics nomograms had AUCs of 0.606 (95% CI, 0.397-0.790), 0.715 (95% CI, 0.506-0.873), and 0.679 (95% CI, 0.468-0.847), respectively, with the validation set. CONCLUSION The radiomics algorithm could distinguish GISTs with the KIT exon 11 mutation based on CE-CT images and could potentially be used for selective genetic analysis to support the precision medicine of GISTs.
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http://dx.doi.org/10.5152/dir.2021.21600DOI Listing
January 2022

Pilot-scale demonstration of a novel process integrating Partial Nitritation with simultaneous Anammox, Denitrification and Sludge Fermentation (PN + ADSF) for nitrogen removal and sludge reduction.

Sci Total Environ 2022 Apr 5;815:152835. Epub 2022 Jan 5.

National Engineering Laboratory for Advanced Municipal Wastewater Treatment and Reuse Technology, Engineering Research Center of Beijing, Beijing University of Technology, Beijing, China. Electronic address:

Anammox process is a cost-effective solution for nitrogen removal, whereas unsatisfactory effluent with nitrate accumulation is usually achieved in treating domestic sewage, owning to the unwanted prevalence of nitrite-oxidizing bacteria (NOB) and the intrinsic nitrate production by anammox bacteria. Herein, a pilot-scale system integrating Partial Nitritation and simultaneous Anammox, Denitrification and Sludge Fermentation (PN + ADSF) process was developed to treat real municipal wastewater. In this process, PN was accomplished in a sequencing batch reactor (SBR) using the strategy of intermittent hydroxylamine addition, while ADSF coupling anammox and heterotrophic denitrification was conducted in an up-flow anaerobic sludge blanket reactor (UASB) to further remove nitrogen. The pilot-scale system achieved total inorganic nitrogen (TIN) concentrations of 10.0 mg N/L in effluent and sludge reduction efficiency of 42.3% simultaneously. The characterization on microbial communities revealed that Candidatus Kuenenia and Thauera were the dominant functional bacteria for anammox and denitrification, respectively. Supported by the slow-release carbon sources from sludge fermentation, heterotrophic denitrification contributed to about 28% of nitrogen removed from the UASB, while anammox played a more important role in nitrogen removal. The pilot-scale demonstration confirmed that the PN + ADSF process is technically feasible for enhanced nitrogen removal and sludge reduction.
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http://dx.doi.org/10.1016/j.scitotenv.2021.152835DOI Listing
April 2022

Resection of a giant sternal chondrosarcoma and chest wall reconstruction: a case report.

Ann Transl Med 2021 Nov;9(22):1706

Department of Cardiology, The Affiliated Hospital of Qingdao University, Qingdao, China.

Chondrosarcomas are common bone carcinomas; however, they are uncommon in the sternum, and giant sternal tumors have rarely been reported in advanced-age patients. This study aimed to describe the clinical presentation, method of preoperative planning and surgery, and perioperative management of a giant sternal chondrosarcoma in an advanced-age patient. We describe the case of an 80-year-old woman who presented with a rare giant sternal chondrosarcoma. The patient's symptoms included significant painful swelling and limited activity. The mass was firm and fixed, and the boundary was unclear. We first performed a simulated surgery on a three-dimensional (3D) model using the mimics system for preoperative planning. An extensive resection of the tumor was then performed. Due to the financial status of the patient, the huge chest wall defect was reconstructed with simple ordinary metal locking bone plates and polyester surgical mesh, and good results were achieved. The patient was discharged without any complications 12 days after surgery. The postoperative pathological examination confirmed the diagnosis of primary grade I-II chondrosarcoma. At the 12-month follow-up examination, the patient was completely rehabilitated, and there was no evidence of recurrence. Giant, low-grade sternal chondrosarcoma is an extremely rare disease in elderly women. 3D modeling and simulated surgery are effective approaches for the preoperative planning of surgery. Postoperative ventilators, antibiotics, and nutritional support are also necessary. Using our reconstructive techniques, chest wall reconstruction with polyester patches and orthopedic steel plates could be a safe, reliable and affordable surgery procedure. It may be an appropriate option for similar cases.
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http://dx.doi.org/10.21037/atm-21-5616DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8667109PMC
November 2021

A CT-based radiomics signature for preoperative discrimination between high and low expression of programmed death ligand 1 in head and neck squamous cell carcinoma.

Eur J Radiol 2022 Jan 4;146:110093. Epub 2021 Dec 4.

Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, China. Electronic address:

Purpose: Accurate prediction of the expression level of programmed death ligand 1 (PD-L1) in head and neck squamous cell carcinoma (HNSCC) is crucial before immunotherapy. The purpose of this study was to construct and validate a contrast-enhanced computed tomography (CECT)-based radiomics signature to discriminate between high and low expression status of PD-L1.

Methods: A total of 179 HNSCC patients who underwent immunohistochemical examination of tumor PD-L1 expression at one of two centers were enrolled in this study and divided into a training set (n = 122; 55 high PD-L1 expression and 67 low PD-L1 expression) and an external validation set (n = 57; 26 high PD-L1 expression and 31 low PD-L1 expression). The least absolute shrinkage and selection operator method was used to select the key features for a CECT-image-based radiomics signature. The performance of the radiomics signature was assessed using receiver operating characteristics analysis.

Results: Six features were finally selected to construct the radiomics signature. The performance of the radiomics signature in the discrimination between high and low PD-L1 expression status was good in both the training and validation sets, with areas under the receiver operating characteristics curve of 0.889 and 0.834 for the training and validation sets, respectively.

Conclusions: The constructed CECT-based radiomics signature model showed favorable performance for discriminating between high and low PD-L1 expression status in HNSCC patients. It may be useful for screening out those patients with HNSCC who can best benefit from anti-PD-L1 immunotherapy.
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http://dx.doi.org/10.1016/j.ejrad.2021.110093DOI Listing
January 2022

Cu-Ion-Implanted and Polymeric Carbon Nitride-Decorated TiO Nanotube Array for Unassisted Photoelectrochemical Water Splitting.

ACS Appl Mater Interfaces 2021 Sep 9;13(37):44184-44194. Epub 2021 Sep 9.

Key Laboratory for Advanced Ceramics and Machining Technology of Ministry of Education, School of Materials Science and Engineering, Tianjin University, Tianjin 300350, China.

Photoelectrochemical (PEC) water splitting over TiO photoanodes is a promising strategy for hydrogen production due to its eco-friendly, energy-saving, and low-cost nature. However, the intrinsic drawbacks of TiO, ., the too wide band gap and rapid exciton recombination, significantly limit further enhancement of its performance. Herein, we report a TiO nanotube array (TNA), which is implanted by Cu ions and decorated by polymeric carbon nitride (PCN) nanosheets, as a photoanode for the high-efficiency PEC water splitting. In such designed material, Cu-ion implantation can effectively tailor the electronic structure of TiO, thus narrowing the band gap and enhancing the electronic conductivity. Meanwhile, the PCN decoration induces TiO/PCN heterojunctions, enhancing the visible light absorption and accelerating the exciton separation. Upon this synergistic effect, the modified TNA photoanode shows significantly improved PEC capability. Its photocurrent density, solar-to-hydrogen efficiency, and applied bias photon-to-current efficiency achieve 1.89 mA cm at 1.23 V (V reversible hydrogen electrode), 2.31%, and 1.20% at 0.46 V, respectively. Importantly, this modified TNA supported on a meshlike Ti substrate can be readily integrated with a perovskite solar cell to realize unassisted PEC water splitting.
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http://dx.doi.org/10.1021/acsami.1c09665DOI Listing
September 2021

Deep learning radiomic nomogram to predict recurrence in soft tissue sarcoma: a multi-institutional study.

Eur Radiol 2022 Feb 27;32(2):793-805. Epub 2021 Aug 27.

Department of Radiology, The Affiliated Hospital of Qingdao University, Qingdao, 266003, Shandong, China.

Objectives: To evaluate the performance of a deep learning radiomic nomogram (DLRN) model at predicting tumor relapse in patients with soft tissue sarcomas (STS) who underwent surgical resection.

Methods: In total, 282 patients who underwent MRI and resection for STS at three independent centers were retrospectively enrolled. In addition, 113 of the 282 patients received additional contrast-enhanced MRI scans. We separated the participants into a development cohort and an external test cohort. The development cohort consisted of patients from one center and the external test cohort consisted of patients from two other centers. Two MRI-based DLRNs for prediction of tumor relapse after resection of STS were established. We universally tested the DLRNs and compared them with other prediction models constructed by using widespread adopted predictors (i.e., staging systems and Ki67) instead of radiomics features.

Results: The DLRN1 model incorporated plain MRI-based radiomics signature into the clinical data, and the DLRN2 model integrated radiomics signature extracted from plain and contrast-enhanced MRI with the clinical predictors. Across both study sets, the two MRI-based DLRNs had relatively better prognostic capability (C index ≥ 0.721 and median AUC ≥ 0.746; p < 0.05 compared with most other models and predictors) and less opportunity for prediction error (integrated Brier score ≤ 0.159). The decision curve analysis indicates that the DLRNs have greater benefits than staging systems, Ki67, and other models. We selected appropriate cutoff values for the DLRNs to divide STS recurrence into three risk strata (low, medium, and high) and calculated those groups' cumulative risk rates.

Conclusion: The DLRNs were shown to be a reliable and externally validated tool for predicting STS recurrence by comparing with other prediction models.

Key Points: • The prediction of a high recurrence rate of STS before emergence of local recurrence can help to determine whether more active treatment should be implemented. • Two MRI-based DLRNs for prediction of tumor relapse were shown to be a reliable and externally validated tool for predicting STS recurrence. • We used the DLRNs to divide STS recurrence into three risk strata (low, medium, and high) to facilitate more targeted postoperative management in the clinic.
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http://dx.doi.org/10.1007/s00330-021-08221-0DOI Listing
February 2022

New Equivalent Thermal Conductivity Model for Size-Dependent Convection-Driven Melting of Spherically Encapsulated Phase Change Material.

Materials (Basel) 2021 Aug 23;14(16). Epub 2021 Aug 23.

School of Civil Engineering and Architecture, Hainan University, Haikou 570228, China.

Spherically encapsulated phase change materials (PCMs) are extensively incorporated into matrix material to form composite latent heat storage system for the purposes of saving energy, reducing PCM cost and decreasing space occupation. Although the melting of PCM sphere has been studied comprehensively by experimental and numerical methods, it is still challenging to quantitatively depict the contribution of complex natural convection (NC) to the melting process in a practically simple and acceptable way. To tackle this, a new effective thermal conductivity model is proposed in this work by focusing on the total melting time (TMT) of PCM, instead of tracking the complex evolution of solid-liquid interface. Firstly, the experiment and finite element simulation of the constrained and unconstrained meltings of paraffin sphere are conducted to provide a deep understanding of the NC-driven melting mechanism and exhibit the difference of melting process. Then the dependence of NC on the particle size and heating temperature is numerically investigated for the unconstrained melting which is closer to the real-life physics than the constrained melting. Subsequently, the contribution of NC to the TMT is approximately represented by a simple effective thermal conductivity correlation, through which the melting process of PCM is simplified to involve heat conduction only. The effectiveness of the equivalent thermal conductivity model is demonstrated by rigorous numerical analysis involving NC-driven melting. By addressing the TMT, the present correlation thoroughly avoids tracking the complex evolution of melting front and would bring great convenience to engineering applications.
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http://dx.doi.org/10.3390/ma14164752DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399438PMC
August 2021

Structural and functional characterization of ubiquitin variant inhibitors for the JAMM-family deubiquitinases STAMBP and STAMBPL1.

J Biol Chem 2021 10 21;297(4):101107. Epub 2021 Aug 21.

Department of Molecular and Cellular Biology, College of Biological Science, University of Guelph, Guelph, Canada; CIFAR Azrieli Global Scholars Program, Canadian Institute for Advanced Research, Toronto, Canada. Electronic address:

Ubiquitination is a crucial posttranslational protein modification involved in a myriad of biological pathways. This modification is reversed by deubiquitinases (DUBs) that deconjugate the single ubiquitin (Ub) moiety or poly-Ub chains from substrates. In the past decade, tremendous efforts have been focused on targeting DUBs for drug discovery. However, most chemical compounds with inhibitory activity for DUBs suffer from mild potency and low selectivity. To overcome these obstacles, we developed a phage display-based protein engineering strategy for generating Ub variant (UbV) inhibitors, which was previously successfully applied to the Ub-specific protease (USP) family of cysteine proteases. In this work, we leveraged the UbV platform to selectively target STAMBP, a member of the JAB1/MPN/MOV34 (JAMM) metalloprotease family of DUB enzymes. We identified two UbVs (UbV and UbV) that bind to STAMBP with high affinity but differ in their selectivity for the closely related paralog STAMBPL1. We determined the STAMBPL1-UbV complex structure by X-ray crystallography, revealing hotspots of the JAMM-UbV interaction. Finally, we show that UbV and UbV are potent inhibitors of STAMBP isopeptidase activity, far exceeding the reported small-molecule inhibitor BC-1471. This work demonstrates that UbV technology is suitable to develop molecules as tools to target metalloproteases, which can be used to further understand the cellular function of JAMM family DUBs.
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http://dx.doi.org/10.1016/j.jbc.2021.101107DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8449267PMC
October 2021

VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images.

Med Image Anal 2021 10 22;73:102166. Epub 2021 Jul 22.

Damo Academy, Alibaba Group, China.

Vertebral labelling and segmentation are two fundamental tasks in an automated spine processing pipeline. Reliable and accurate processing of spine images is expected to benefit clinical decision support systems for diagnosis, surgery planning, and population-based analysis of spine and bone health. However, designing automated algorithms for spine processing is challenging predominantly due to considerable variations in anatomy and acquisition protocols and due to a severe shortage of publicly available data. Addressing these limitations, the Large Scale Vertebrae Segmentation Challenge (VerSe) was organised in conjunction with the International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) in 2019 and 2020, with a call for algorithms tackling the labelling and segmentation of vertebrae. Two datasets containing a total of 374 multi-detector CT scans from 355 patients were prepared and 4505 vertebrae have individually been annotated at voxel level by a human-machine hybrid algorithm (https://osf.io/nqjyw/, https://osf.io/t98fz/). A total of 25 algorithms were benchmarked on these datasets. In this work, we present the results of this evaluation and further investigate the performance variation at the vertebra level, scan level, and different fields of view. We also evaluate the generalisability of the approaches to an implicit domain shift in data by evaluating the top-performing algorithms of one challenge iteration on data from the other iteration. The principal takeaway from VerSe: the performance of an algorithm in labelling and segmenting a spine scan hinges on its ability to correctly identify vertebrae in cases of rare anatomical variations. The VerSe content and code can be accessed at: https://github.com/anjany/verse.
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http://dx.doi.org/10.1016/j.media.2021.102166DOI Listing
October 2021

Acute myeloid leukemia with T lymphoblastic lymphoma: a case report and literature review.

J Int Med Res 2021 May;49(5):3000605211016138

Department of Hematology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, China.

Acute myeloid leukemia (AML) with T lymphoblastic lymphoma (T-LBL) is a hematologic tumor of two origins, myeloid and lymphoblastic, and is relatively rare in the same patient. We report a rare case of AML with T-LBL. After the patient was diagnosed, he received standard chemotherapy, which decreased the primitive bone marrow cell percentage from 84% to 5%; however, the enlarged superficial lymph nodes showed no obvious change in size. Immunohistochemistry revealed the following: cluster of differentiation (CD)3 (+), CD5 (+), CD7 (+), transmission disequilibrium test (TDT) (+), myeloperoxidase (MPO) (-), and lysozyme (Lys) (-). The lymph node morphology and immunohistochemical results indicated T-LBL. Therefore, the final diagnosis was AML with T-LBL, with both diseases occurring independently and concurrently.
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http://dx.doi.org/10.1177/03000605211016138DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8161867PMC
May 2021

A novel NECTIN4-NTRK1 fusion identified in a lung squamous cell carcinoma patient with MSI-H.

J Cancer Res Clin Oncol 2021 Aug 3;147(8):2483-2486. Epub 2021 Apr 3.

Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China.

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http://dx.doi.org/10.1007/s00432-021-03622-6DOI Listing
August 2021

A novel KLHL6/KLHL24 intergenic region-NTRK3 fusion in a patient with lung squamous cell carcinoma.

Lung Cancer 2021 05 9;155:193-195. Epub 2021 Mar 9.

Department of Thoracic Surgery, The Affiliated Hospital of Qingdao University, Qingdao, China. Electronic address:

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http://dx.doi.org/10.1016/j.lungcan.2021.03.001DOI Listing
May 2021

Magnetic Resonance Imaging-Based Radiomics Nomogram for Prediction of the Histopathological Grade of Soft Tissue Sarcomas: A Two-Center Study.

J Magn Reson Imaging 2021 06 18;53(6):1683-1696. Epub 2021 Feb 18.

Department of Sports Medicine, the Affiliated Hospital of Qingdao University, QingDao, Shandong, 266003, China.

Background: Preoperative prediction of soft tissue sarcoma (STS) grade is important for treatment decisions. Therefore, formulation an STS grade model is strongly needed.

Purpose: To develop and test an magnetic resonance imaging (MRI)-based radiomics nomogram for predicting the grade of STS (low-grade vs. high grade).

Study Type: Retrospective POPULATION: One hundred and eighty patients with STS confirmed by pathologic results at two independent institutions were enrolled (training set, N = 109; external validation set, N = 71).

Field Strength/sequence: Unenhanced T1-weighted (T1WI) and fat-suppressed T2-weighted images (FS-T2WI) were acquired at 1.5 T and 3.0 T.

Assessment: Clinical-MRI characteristics included age, gender, tumor-node-metastasis (TNM) stage, American Joint Committee on Cancer (AJCC) stage, progression-free survival (PFS), and MRI morphological features (ie, margin). Radiomics feature extraction were performed on T1WI and FS-T2WI images by minimum redundancy maximum relevance (MRMR) method and least absolute shrinkage and selection operator (LASSO) algorithm. The selected features constructed three radiomics signatures models (RS-T1, RS-FST2, and RS-Combined). Univariate and multivariate logistic regression analysis were applied for screening significant risk factors. Radiomics nomogram was constructed by incorporating the radiomics signature and risk factors.

Statistical Tests: Clinical-MRI characteristics were performed by a univariate analysis. Model performances (discrimination, calibration, and clinical usefulness) were validated in the external validation set. The RS-T1 model, RS-FST2 model, and RS-Combined model had an area under curves (AUCs) of 0.645, 0.641, and 0.829, respectively, in the external validation set. The radiomics nomogram, incorporating significant risk factors and the RS-Combined model had AUCs of 0.916 (95%CI, 0.866-0.966, training set) and 0.879 (95%CI, 0.791-0.967, external validation set), and demonstrated good calibration and good clinical utility.

Data Conclusion: The proposed noninvasive MRI-based radiomics models showed good performance in differentiating low-grade from high-grade STSs.

Level Of Evidence: 3 TECHNICAL EFFICACY STAGE: 2.
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http://dx.doi.org/10.1002/jmri.27532DOI Listing
June 2021

A CT-based radiomics nomogram for distinguishing between benign and malignant bone tumours.

Cancer Imaging 2021 Feb 6;21(1):20. Epub 2021 Feb 6.

Department of Radiology, The Affiliated Hospital of Qingdao University Qingdao, 16 Jiangsu Road, Qingdao, Shandong, China.

Background: We sought to evaluate the performance of a computed tomography (CT)-based radiomics nomogram we devised in distinguishing benign from malignant bone tumours.

Methods: Two hundred and six patients with bone tumours were spilt into two groups: a training set (n = 155) and a validation set (n = 51). A feature extraction process based on 3D Slicer software was used to extract the radiomics features from unenhanced CT images, and least absolute shrinkage and selection operator logistic regression was used to calculate the radiomic score to generate a radiomics signature. A clinical model comprised demographics and CT features. A radiomics nomogram combined with the clinical model and the radiomics signature was constructed. The performance of the three models was comprehensively evaluated from three aspects: identification ability, accuracy, and clinical value, allowing for generation of an optimal prediction model.

Results: The radiomics nomogram comprised clinical and radiomics signature features. The nomogram model displayed good performance in training and validation sets with areas under the curve of 0.917 and 0.823, respectively. The areas under the curve, decision curve analysis, and net reclassification improvement showed that the radiomics nomogram model could obtain better diagnostic performance than the clinical model and achieve greater clinical net benefits than the clinical and radiomics signature models alone.

Conclusions: We constructed a combined nomogram comprising a clinical model and radiomics signature as a noninvasive preoperative prediction method to distinguish between benign and malignant bone tumours and assist treatment planning.
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http://dx.doi.org/10.1186/s40644-021-00387-6DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7866630PMC
February 2021

Mediastinal granular cell tumor diagnosed with endoscopic ultrasound-guided fine needle aspiration via a modified technique based on wet suction: A case report and literature review.

Diagn Cytopathol 2021 Jul 1;49(7):E273-E276. Epub 2021 Feb 1.

Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao, China.

Granular cell tumor (GCT) represents a less frequently seen tumor originating from Schwann cells. Although GCT develops in various locations in the human body, GCT of the mediastinum is extremely uncommon. A case of mediastinal GCT diagnosed by aspiration using a fine needle assisted by endoscopic ultrasound (EUS-FNA) via a modified technique based on wet suction was reported. An asymptomatic 28-year-old man was referred for assessment of a mass in the mediastinum that was found incidentally via chest computed tomography (CT) at health screening. EUS demonstrated a hypoechoic lesion with a distinct boundary, which was derived from the upper posterior mediastinum and partly located close to the posterior wall of the esophagus. Therefore, EUS-FNA with a modified wet suction technique was performed to harvest adequate specimens for the diagnosis of GCT. Minimally invasive tumor removal was performed, and histological examination of the specimen harvested surgically verified GCT, consistent with histological findings of the specimen obtained by EUS-FNA. The case highlights that a good accuracy of histological diagnosis and specimen quality are achieved for the modified wet-suction technique in EUS-FNA, and a preoperative diagnosis of mediastinal GCT can be made with certainty.
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http://dx.doi.org/10.1002/dc.24704DOI Listing
July 2021

Differential diagnosis of renal oncocytoma and chromophobe renal cell carcinoma using CT features: a central scar-matched retrospective study.

Acta Radiol 2022 Feb 26;63(2):253-260. Epub 2021 Jan 26.

Department of Radiology, the Affiliated Hospital of Qingdao University, Qingdao, Shandong, PR China.

Background: Renal oncocytoma (RO) and chromophobe renal cell carcinoma (chRCC) have a common cellular origin and different clinical management and prognosis.

Purpose: To explore the utility of computed tomography (CT) in the differentiation of RO and chRCC.

Material And Methods: Twenty-five patients with RO and 73 patients with chRCC presenting with the central scar were included retrospectively. Two experienced radiologists independently reviewed the CT imaging features, including location, tumor size, relative density ratio, segmental enhancement inversion (SEI), necrosis, and perirenal fascia thickening, among others. Interclass correlation coefficient (ICC, for continuous variables) or Kappa coefficient test (for categorical variables) was used to determine intra-observer and inter-observer bias between the two radiologists.

Results: The inter- and intra-reader reproducibility of the other CT imaging parameters were nearly perfect (>0.81) except for the measurements of fat (0.662). RO differed from chRCC in the cortical or medullary side ( = 0.005), relative density ratio ( = 0.020), SEI ( < 0.001), and necrosis ( = 0.045). The logistic regression model showed that location (right kidney), hypo-density on non-enhanced CT, SEI, and perirenal fascia thickening were highly predictive of RO. The combined indicators from logistic regression model were used for ROC analysis. The area under the ROC curve was 0.923 ( < 0.001). The sensitivity and specificity of the four factors combined for diagnosing RO were 88% and 86.3%, respectively. The correlation coefficient between necrosis and tumor size in all tumors including both of RO and chRCC was 0.584, indicating a positive correlation ( < 0.001).

Conclusion: The CT imaging features of location (right kidney), hypo-density on non-enhanced CT, SEI, and perirenal fascia thickening were valuable indicators in distinguishing RO from chRCC.
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http://dx.doi.org/10.1177/0284185120988109DOI Listing
February 2022

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 challenge.

Med Image Anal 2021 01 2;67:101821. Epub 2020 Oct 2.

Carleton College, Northfield, United States.

There is a large body of literature linking anatomic and geometric characteristics of kidney tumors to perioperative and oncologic outcomes. Semantic segmentation of these tumors and their host kidneys is a promising tool for quantitatively characterizing these lesions, but its adoption is limited due to the manual effort required to produce high-quality 3D segmentations of these structures. Recently, methods based on deep learning have shown excellent results in automatic 3D segmentation, but they require large datasets for training, and there remains little consensus on which methods perform best. The 2019 Kidney and Kidney Tumor Segmentation challenge (KiTS19) was a competition held in conjunction with the 2019 International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI) which sought to address these issues and stimulate progress on this automatic segmentation problem. A training set of 210 cross sectional CT images with kidney tumors was publicly released with corresponding semantic segmentation masks. 106 teams from five continents used this data to develop automated systems to predict the true segmentation masks on a test set of 90 CT images for which the corresponding ground truth segmentations were kept private. These predictions were scored and ranked according to their average Sørensen-Dice coefficient between the kidney and tumor across all 90 cases. The winning team achieved a Dice of 0.974 for kidney and 0.851 for tumor, approaching the inter-annotator performance on kidney (0.983) but falling short on tumor (0.923). This challenge has now entered an "open leaderboard" phase where it serves as a challenging benchmark in 3D semantic segmentation.
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http://dx.doi.org/10.1016/j.media.2020.101821DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7734203PMC
January 2021

Confined Fe-Cu Clusters as Sub-Nanometer Reactors for Efficiently Regulating the Electrochemical Nitrogen Reduction Reaction.

Adv Mater 2020 Oct 2;32(40):e2004382. Epub 2020 Sep 2.

Key Laboratory for Advanced Ceramics and Machining Technology of Ministry of Education, School of Materials Science and Engineering, Tianjin University, Tianjin, 300350, China.

Electrochemical nitrogen reduction reaction (NRR) over nonprecious-metal and single-atom catalysts has received increasing attention as a sustainable strategy to synthesize ammonia. However, the atomic-scale regulation of such active sites for NRR catalysis remains challenging because of the large distance between them, which significantly weakens their cooperation. Herein, the utilization of regular surface cavities with unique microenvironment on graphitic carbon nitride as "subnano reactors" to precisely confine multiple Fe and Cu atoms for NRR electrocatalysis is reported. The synergy of Fe and Cu atoms in such confined subnano space provides significantly enhanced NRR performance, with nearly doubles ammonia yield and 54%-increased Faradic efficiency up to 34%, comparing with the single-metal counterparts. First principle simulation reveals this synergistic effect originates from the unique Fe-Cu coordination, which effectively modifies the N absorption, improves electron transfer, and offers extra redox couples for NRR. This work thus provides new strategies of manipulating catalysts active centers at the sub-nanometer scale.
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http://dx.doi.org/10.1002/adma.202004382DOI Listing
October 2020

Artesunate exerts anti-prolactinoma activity by inhibiting mitochondrial metabolism and inducing apoptosis.

Ann Transl Med 2020 Jul;8(14):858

Department of Neurosurgery and Pituitary Tumor Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.

Background: Prolactinoma is the most common hormone-secreting pituitary adenoma. Dopamine receptor agonists (DAs) are effective in reducing prolactin levels and tumor mass, but some prolactinoma patients are resistant to DAs. Treating patients with DA-resistant prolactinoma is challenging. In this study, we examined the anti-prolactinoma effect of artesunate (ART), a potential new treatment option for prolactinoma, and its mechanism of action.

Methods: Cell Counting Kit-8 (CCK8) and flow cytometry were used to detect the effect of ART on the proliferation, cycle, and apoptosis of rat pituitary adenoma cell line MMQ. The subcellular localization of ART was observed using confocal fluorescence microscopy. The JC-1 mitochondrial membrane potential (MMP) detection and Seahorse assays were used to detect the effect of ART on mitochondrial function. Real-time quantitative polymerase chain reaction (RT-qPCR) and Western blot analysis were used to detect the effect of ART on the expression of prolactin (PRL) and apoptosis-related proteins. A mouse xenograft model of prolactinoma was used to detect the inhibitory effect of ART on MMQ .

Results: ART specifically inhibited MMQ proliferation and PRL synthesis, induced G0/G1 phase arrest and apoptosis . ART accumulated in the mitochondria of MMQ cells, inhibiting mitochondrial respiratory function and mediating apoptosis through the mitochondrial pathway. ART also inhibited proliferation and activated the apoptosis of MMQ cells .

Conclusions: ART has a strong inhibitory effect on prolactinoma both and , and its effects rely on high MMP to inhibit mitochondrial metabolism and induce apoptosis. Our results provide evidence for ART as a candidate drug for the treatment of prolactinoma.
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http://dx.doi.org/10.21037/atm-20-1113DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7396798PMC
July 2020

Soft Tissue Sarcoma: Preoperative MRI-Based Radiomics and Machine Learning May Be Accurate Predictors of Histopathologic Grade.

AJR Am J Roentgenol 2020 10 29;215(4):963-969. Epub 2020 Jul 29.

Department of Radiology, The Affiliated Hospital of Qingdao University, Shinan Jiangsu 16 Rd, Qingdao, Shandong 266003, China.

The purpose of this study was to assess the value of radiomics features for differentiating soft tissue sarcomas (STSs) of different histopathologic grades. The T1-weighted and fat-suppressed T2-weighted MR images of 70 STSs of varying grades (35 low-grade [grades 1 and 2], 35 high-grade [grade 3]) formed the primary dataset used to train multiple machine learning algorithms for the construction of models for assigning STS grade. The models were tested with a separate validation dataset. Different machine learning algorithms had different strengths and weaknesses. The best classification algorithm for the prediction of STS grade had a combination of the least absolute shrinkage and selection operator feature selection method and the random forest classification algorithm (AUC, 0.9216; 95% CI, 0.8437-0.9995) in the validation set. The accuracy of the combined methods applied to the validation set was 91.43%; sensitivity, 88.24%; and specificity, 94.44%. Because of tumor heterogeneity, initial biopsy grade may be an underestimate of the final grade identified in extensive histopathologic analysis of surgical specimens. This creates an urgent need to construct an accurate preoperative approach to grading STS. This radiomics study revealed the optimal machine learning approaches for differentiating STS grades. This capability can enhance the precision of preoperative diagnosis.
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http://dx.doi.org/10.2214/AJR.19.22147DOI Listing
October 2020

Quantitative Analysis of Enhanced Computed Tomography in Differentiating Cystitis Glandularis and Bladder Cancer.

Biomed Res Int 2020 17;2020:4930621. Epub 2020 Jun 17.

Department of Radiology, The Affiliated Hospital of Qingdao University Qingdao, Shandong, China.

Objective: This study was performed to assess the value of quantitative analysis of enhanced computed tomography (CT) values in the differential diagnosis of bladder cancer and cystitis glandularis (CG).

Methods: Eighty patients with bladder masses (39 with CG and 41 with bladder cancer) who underwent enhanced CT were retrospectively reviewed. The CT enhancement values of the lesion and normal bladder wall in the arterial phase, venous phase, and delayed phase were measured. The relative enhancement CT values (relative enhancement CT value = enhancement CT value of lesion - enhancement CT value of normal bladder) in the arterial phase, venous phase, and delayed phase were also calculated. The pathological results were used as the gold standard, and the area under the curve (AUC), sensitivity, and specificity were calculated for the six groups of quantitative indicators (enhanced CT values and relative enhanced CT values of CG and bladder cancer in the arterial, venous, and delayed phases). We performed the leave-group-out cross-validation method to validate the accuracy, AUC, sensitivity, and specificity. The differences in accuracy, AUC, sensitivity, and specificity among the six groups of quantitative indicators were compared by the -test.

Results: In a combined analysis of the AUC, sensitivity, and specificity performance, the best indicator was the arterial-phase relative enhancement CT value with a cut-off of 25.85 HU (AUC, 0.966; sensitivity, 95.1%; specificity, 92.3%). We used the 100-times leave-group-out cross-validation method to validate the accuracy, AUC, sensitivity, and specificity. Arterial-phase relative enhancement CT values showed the highest AUC and accuracy among the six groups, with statistical significance ( < 0.05).

Conclusion: Quantitative analysis of enhanced CT is of great clinical value in the differential diagnosis of CG and bladder cancer.
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http://dx.doi.org/10.1155/2020/4930621DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7320292PMC
April 2021

Gastric pyloric gland adenoma resembling a submucosal tumor: A case report.

World J Clin Cases 2020 Jun;8(11):2380-2386

Department of Gastroenterology, The Affiliated Hospital of Qingdao University, Qingdao 266003, Shandong Province, China.

Background: Pyloric gland adenoma (PGA) is a recently described and rare tumor. Submucosal tumor (SMT)-like PGA is more difficult to diagnose and differentiate from other submucosal lesions.

Case Summary: We present the case of a 69-year-old man with a 10 mm SMT-like elevated lesion with an opening in the upper part of the gastric body, referred to our hospital for further endoscopic treatment. Magnifying endoscopy with narrow-band imaging, endoscopic ultrasonography, and complete endoscopic submucosal dissection were performed on the patient. Histopathological findings revealed tightly packed tubular glands lined with cuboidal or columnar cells that had round-to-oval nuclei containing occasional prominent nucleoli and an eosinophilic cytoplasm similar to that in non-neoplastic gastric pyloric glands. Additionally, immunohistochemical analysis showed positive staining for both mucin 5AC and mucin 6. Therefore, we arrived at the final diagnosis of gastric PGA. Although there was no apparent malignant component in this tumor, PGA has been considered a precancerous disease with a high risk of transformation into adenocarcinoma.

Conclusion: PGA should be considered when detecting gastric SMT-like lesions. Physicians and pathologists should focus on PGA due to its malignant potential.
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http://dx.doi.org/10.12998/wjcc.v8.i11.2380DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7281057PMC
June 2020

Sensitive marker for evaluation of hypertensive heart disease: extracellular volume and myocardial strain.

BMC Cardiovasc Disord 2020 06 15;20(1):292. Epub 2020 Jun 15.

Cardiopulmonary function department, Affiliated Cancer Hospital of Xinjiang Medical University, Urumqi, China.

Background: Evaluation of tissue fibrosis and myocardial hypertrophy in left ventricular (LV) remodeling is the basis of post-treatment evaluation of hypertensive heart disease (HHD). Extracellular volume (ECV) and myocardial strain parameters can indirectly reflect the changes of both. Our objective was to analyze the characteristics of ECV and strain parameters in LV myocardium of HHD with varying degrees of systolic dysfunction, and to explore the changes of both after treatment for hypertension.

Methods: A total of 62 HHD patients were divided into 3 groups according to ejection fraction (EF < 30, 30%≦EF < 50%, EF≧50%). Twenty-one of these patients underwent cardiac magnetic resonance (CMR) reexamination more than six months after receiving antihypertensive medication. The initial T1 time and post-enhancement T1 time of each segment were measured, and the ECV was calculated. Radial strain (RS), circumferential strain (CS) and longitudinal strain (LS) of LV were measured by cvi42 software, and the differences in CMR parameters between different groups and before and after treatment were compared.

Results: ①The mean, basal and middle ECV value of HHD groups with different EF were all higher than that of the control group (P < 0.05), but the difference between HHD groups was not statistically significant. ②With the decrease of EF, the absolute value of both the global or local strain decreased. Strain is related to LVMI and ECV. ③In general, ECV, global RS (GRS) and global CS (GCS) improved after treatment, but the improvement of LS impairment in HHD patients is difficult.

Conclusions: ECV and myocardial strain parameters are more sensitive to myocardial abnormalities, and ECV, GRS and GCS are more sensitive to treatment. However it is difficult to improve longitudinal strain impairment in HHD patients. ECV and myocardial strain parameters can be used as good makers for long-term monitoring of the efficacy of HHD patients.
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http://dx.doi.org/10.1186/s12872-020-01553-7DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7294608PMC
June 2020

Immigrant acculturation and wellbeing across generations and settlement contexts in Canada.

Int Rev Psychiatry 2021 Feb-Mar;33(1-2):140-153. Epub 2020 Apr 29.

Department of Sociology, University of Toronto and Statistics Canada, Ottawa, Canada.

When immigrants settle into their new societies, variations in their wellbeing are commonly found, due to a number of factors: their generation; their specific settlement context; and their acculturation strategies. With respect to settlement context, the policy of multiculturalism in Canada and of interculturalism in Quebec, provide different contexts for immigrant acculturation and wellbeing. Acculturation strategies are assessed with measures of sense of belonging to Canada and to the province of residence: Canada and Province (strong sense of belonging to both); either Canada only or province only (strong belonging to one or to the other); and neither (strong to neither). Wellbeing is assessed by scales of Life Satisfaction and Mental Health. This study examines whether these context differences may be associated with variations in the acculturation strategies and wellbeing among immigrants and later generations. Samples of adult immigrants and subsequent generations were drawn from those who live in Québec and in the rest of Canada. The distribution of the four profiles among immigrants did not differ between Québec and the rest of Canada. However, among later generations, the 'Canada only' profile is lower, while the 'province only' is higher, in Québec than in the rest of Canada. These findings suggest a drawing away from identifying with Canada, and an increase in identifying with Québec, in later generations in Québec. This pattern is consistent with the goals of the different incorporation policies in Québec and the rest of Canada. Wellbeing was generally higher in the group with high sense of belonging to both Canada and Québec, and Mental Health was higher in Québec than in the Rest of Canada in all three generations. Implications of these findings for acculturation and settlement policy are discussed.
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http://dx.doi.org/10.1080/09540261.2020.1750801DOI Listing
October 2021

Functional connectivity changes of nucleus Accumbens Shell portion in left mesial temporal lobe epilepsy patients.

Brain Imaging Behav 2020 Dec;14(6):2659-2667

Guangdong Provincial Key Laboratory of Medical Image Processing, School of Biomedical Engineering, Southern Medical University, Guangzhou, 510,515, China.

Growing evidence has supported that the nucleus accumbens (NAc), especially its shell portion, has been involved in epileptogenesis. However, relevant studies on vivo human brain are quite limited. In this study, we investigated left mesial temporal lobe epilepsy (MTLE) related function connectivity (FC) changes of NAc subregions using resting-state functional magnetic resonance imaging. We calculated functional connectivity from two NAc subregions to both whole brain and 16 related targets. Two-sample t-test (Alphasim multiple comparisons corrected) was performed to identify the effect of the disease on each seed's whole brain network. Repeated-measures ANOVA and Post hoc pairwise t test (Bonferroni corrections) were performed to visualize the seed to target FC group differences in each subdivision. In whole brain FC networks, neither the left or right core show different FC changes. The left shell showed decreased FC with a cluster located around the right inferior frontal gyrus. The right shell portion showed increased FC with a cluster located around the left inferior temporal gyrus. The seed to targets results showed that the left shell of LTLE group exhibited lower FC with left posterior-parahippocampal gyrus and right caudate, putamen, thalamus, paracingulate gyrus but higher FC with right subcallosal cortex. The right core of LTLE group exhibited higher FC with right frontal pole and the right shell exhibited lower FC with left thalamus and left anterior-parahippocampal gyrus. This is the first study to investigate the functional connectivity changes of NAc subdivisions of epilepsy in vivo human brain. Our results showed that the left MTLE related FC changes on NAc are mainly on shell portion rather than core. The decrease FC between the left shell and right frontal area and the decrease FC between the right shell and left temporal area suggested they serve vital roles for MTLE.
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http://dx.doi.org/10.1007/s11682-019-00217-1DOI Listing
December 2020
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