Publications by authors named "Y Ren"

8,251 Publications

Comparison of Radiomic Models Based on Different Machine Learning Methods for Predicting Intracerebral Hemorrhage Expansion.

Clin Neuroradiol 2021 Jun 22. Epub 2021 Jun 22.

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

Purpose: The objective of this study was to predict hematoma expansion (HE) by radiomic models based on different machine learning methods and determine the best radiomic model through the comparison.

Method: A total of 108 patients with intracerebral hemorrhage were retrospectively evaluated. Images of baseline non-contrast computed tomography (NCCT) and follow-up NCCT scan within 24 h were retrospectively reviewed. An HE was defined as a volume increase of more than 33% or an increase greater than 12.5 mL from the volume of the baseline NCCT. Texture parameters of the baseline NCCT images were selected by the least absolute shrinkage and selection operator (LASSO) regression. We used support vector machine (SVM), decision tree (DT), conditional inference trees (CIT), random forest (RF), k‑nearest neighbors (KNN), back-propagation neural network (BPNet) and Bayes to build models. Receiver operating characteristic (ROC) analysis and decision curve analysis (DCA) was performed and compared among models.

Results: Every model had a relatively high AUC (all > 0.75), SVM and KNN had the highest AUC of 0.91. There were significant differences between SVM and CIT (Z > 2.266, p = 0.02345), KNN and CIT (Z = 2.4834, p = 0.01301), RF and CIT (Z = 2.6956, p = 0.007027), KNN and BPNet (Z = 2.0122, p = 0.0442), RF and BPNet (Z = 1.9793, p = 0.04778). There was no significant difference among SVM, DT, RF, KNN and Bayes (p > 0.05). The SVM obtained the largest net benefit when the threshold probability was less than 0.33, while KNN obtained the largest net benefit when the threshold probability was greater than 0.33. Combined with ROC and DCA, SVM and KNN performed better in all the models for predicting HE.

Conclusion: Radiomic models based on different machine learning methods can be used to predict HE and the models generated by SVM and KNN performed best.
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http://dx.doi.org/10.1007/s00062-021-01040-2DOI Listing
June 2021

Atractylenolide III Ameliorates TNBS-Induced Intestinal Inflammation in Mice by Reducing Oxidative Stress and Regulating Intestinal Flora.

Chem Biodivers 2021 Jun 22. Epub 2021 Jun 22.

College of Pharmaceutical Science, Guizhou University, Guiyang, 550025, P. R. China.

The present study aimed to explore the therapeutic effects of the main active ingredients of Atractylodes macrocephala on the 2,4,6-trinitrobenzenesulfonic acid (TNBS)-induced mouse colitis model. TNBS-induced colitis was established in mice, which were treated with 8-β-Hydroxyasterolide (Atractylenolide III) for 14 days. The body weight of the mice in the middle and high dose groups of Atractylenolide III was increased compared with that of the model group. The disease activity index score was significantly reduced. The activity levels of myeloperoxidase were significantly decreased following increase in the dosage of Atractylenolide III, as determined by histological analysis. Moreover, Atractylenolide III downregulated the expression levels of the inflammatory factors interleukin-1β and tumor necrosis factor-α, and greatly suppressed the levels of the pro-oxidant markers, reactive oxygen species and malondialdehyde, while enhancing the expression levels of the antioxidant enzymes catalase, superoxide dismutase and glutathione peroxidase. The protein expression levels of formyl peptide receptor 1 (FPR1) and nuclear respiratory factor 2 (Nrf2) were upregulated in the colonic tissues of TNBS-treated mice. This effect was effectively reversed by Atractylenolide III treatment. In vivo studies indicated that TNBS alone induced a decrease in the abundance of lactobacilli and in the biodiversity of the colon. In conclusion, the present study suggested that Atractylenolide III attenuated TNBS-induced acute colitis by regulating oxidative stress via the FPR1 and Nrf2 pathways and by affecting the development of intestinal flora.
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http://dx.doi.org/10.1002/cbdv.202001001DOI Listing
June 2021

Transarterial Chemoembolization in Treatment-Naïve and Recurrent Hepatocellular Carcinoma: A Propensity-Matched Outcome and Risk Signature Analysis.

Front Oncol 2021 4;11:662408. Epub 2021 Jun 4.

Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.

Objectives: The purpose of this study was to evaluate the efficacy and safety of transarterial chemoembolization (TACE) in the treatment of patients with treatment-naïve hepatocellular carcinoma (TN-HCC) and recurrent HCC (R-HCC). In addition, risk signature analysis was performed to accurately assess patients' recurrence and survival.

Methods: This retrospective study assessed the consecutive medical records of TN-HCC and R-HCC patients from January 2014 to December 2018. In order to reduce the patient selection bias, propensity score matching (PSM) analysis was applied. Conditional inference tree was used to establish a risk signature.

Results: A total of 401 eligible patients were included in our study, including 346 patients in the TN-HCC group and 55 patients in the R-HCC group. Forty-seven pairs of patients were chosen after the PSM analysis. Before the PSM analysis, the objective tumor regression (ORR) and disease control rate (DCR) of R-HCC patients were better than that of TN-HCC patients; however, after the PSM analysis, there was no significant difference in the ORR and DCR between the two groups (P>0.05). Before the PSM analysis, the median overall survival (OS) and progression-free survival (PFS) in the R-HCC group were significantly greater than those of the TN-HCC group (OS: 24 months 18 months, =0.004; PFS: 9 months 6 months, =0.012). However, after the PSM analysis, the median OS and PFS in the R-HCC group were inferior to those in the TN-HCC group (OS: 24 months 33 months, = 0.0035; PFS: 10 months vs. 12 months, = 0.01). The conditional inference tree divided patients into different subgroups according to tumor size, BCLC stage, and TACE sessions and shared different hazards ratio to recurrence or survival.

Conclusion: Patients with R-HCC treated with TACE achieved satisfactory results, although survival after the PSM analysis was not as good as in the TN-HCC group. In addition, risk signature based on conditional inference tree analysis can more accurately predict the recurrence and survival in both groups of patients.
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http://dx.doi.org/10.3389/fonc.2021.662408DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8213527PMC
June 2021

Research and correlation analysis on the dripper contamination of carteolol hydrochloride eye drops.

Ann Palliat Med 2021 Jun 18. Epub 2021 Jun 18.

Department of Ophthalmology, the First Affiliated Hospital of Soochow University, Suzhou, China; Department of Ophthalmology, Dushu Lake Hospital Affiliated to Soochow University, Suzhou, China.

Background: Multi-dose eye drops are easily contaminated by microorganisms, and reportedly, the highest contamination rate can reach 96.46%. The use of contaminated eye drops can cause serious eye infections.

Methods: Carteolol hydrochloride eye drops provided by glaucoma patients who visited the ophthalmic clinic of the First Affiliated Hospital of Soochow University from May 2018 to December 2019 were collected. Microbial culture was carried out on the eye drops, and the microbial species were identified by standard procedures. At the same time, the unsealing time, storage method, hand cleaning before dripping, and contact with the eyelid or the surrounding environment during infusion were recorded. Univariate and multivariate logistic regression analyses were used to analyze the risk factors associated with the contamination of carteolol hydrochloride eye drops.

Results: A total of 244 bottles of carteolol hydrochloride eye drops were collected, and the positive rate of flora culture was 6.6%. A total of 18 strains of bacteria were isolated. The most common bacteria were Staphylococcus epidermidis and Corynebacterium. Univariate analysis showed that the risk factors associated with contamination were the unsealing time, the frequency of daily use, contact with the eyelid or the surrounding environment during the infusion process, and the use of more than 2 kinds of eye drops at the same time. Multivariate analysis showed that the unsealing time, the frequency of daily use, and contact with the eyelid or the surrounding environment were independent risk factors associated with contamination.

Conclusions: A long unsealing time, frequent use, and non-standard operation can increase the risk of eye drop contamination, which cannot be ignored.
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http://dx.doi.org/10.21037/apm-21-1237DOI Listing
June 2021

Development of terahertz two-dimensional phase gratings for multiple beam generation based on a high-accuracy phase retrieval algorithm.

Opt Express 2021 Jun;29(12):17951-17961

High efficiency and accuracy phase gratings are of crucial importance for large format heterodyne array receivers at terahertz frequencies. Here, by developing a design approach that can create gratings with arbitrary two-dimensional diffraction distributions, we have realized a reflective metallic phase grating that generates 2×2 diffraction beams at 0.85 THz. The measured total power efficiency of the diffraction beam pattern is 81.9%, which demonstrates at least 17% improvement in efficiency compared with the standard pseudo-2D Fourier phase grating. In addition, we report the realization of up to 10×10 diffraction beam two-dimensional phase grating designs at terahertz wavelengths, using an adaptation of the Gerchberg-Saxton (GS) scheme known as the Mixed-Region-Amplitude-Freedom algorithm. Rigorous full wave simulation proves the efficiency and accuracy of the design, which overcomes the inaccurate intensity of the beam distribution drawbacks originated from the standard GS algorithm. The results pave the way for the development of large-pixel terahertz multi-beam heterodyne receivers.
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http://dx.doi.org/10.1364/OE.425838DOI Listing
June 2021