4,289 results match your criteria Annals of translational medicine[Journal]


Further reflections on TOPKAT and Partial . Total Knee Replacement-response to authors.

Ann Transl Med 2020 Jun;8(11):730

Health Services Research Unit, Health Sciences Building, University of Aberdeen, Aberdeen, UK.

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http://dx.doi.org/10.21037/atm-2020-59DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327336PMC

Is there hope in improving 5-year overall survival?-review of 5-year overall survival data from KEYNOTE-001.

Ann Transl Med 2020 Jun;8(11):728

Department of Hematology-Oncology, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA.

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http://dx.doi.org/10.21037/atm-2020-95DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327376PMC

Addressing the challenge to identify the role played by lifestyle factors in dementia.

Authors:
Tasnime Akbaraly

Ann Transl Med 2020 Jun;8(11):724

Université Paris-Saclay, UVSQ, Inserm, CESP, "DevPsy", Villejuif, France.

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http://dx.doi.org/10.21037/atm.2020.01.74DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327356PMC

Beyond finding druggable targets and tumor mutational burden: to measure heterogeneity by ctDNA.

Ann Transl Med 2020 Jun;8(11):723

Department of Thoracic Surgery and Oncology, the First Affiliated Hospital of Guangzhou Medical University, State Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, Guangzhou, China.

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http://dx.doi.org/10.21037/atm.2020.01.86DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327335PMC

Disease modifying therapies and infection risks in multiple sclerosis-a decision-making conundrum.

Ann Transl Med 2020 Jun;8(11):722

Department of Neurology, Research Institute and Hospital of National Cancer Center, Goyang, Korea.

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http://dx.doi.org/10.21037/atm.2020.01.119DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327337PMC

Medial femorotibial osteoarthritis of the knee: total or partial knee replacement?

Ann Transl Med 2020 Jun;8(11):721

Institute for Locomotion, Department of Orthopedic Surgery, Aix-Marseille University, Marseille, France.

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http://dx.doi.org/10.21037/atm.2020.01.131DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327312PMC

Caution in the age of optimism; a salient lesson in advanced melanoma.

Ann Transl Med 2020 Jun;8(11):720

Department of Medical Oncology, Alfred Hospital, Melbourne, Australia.

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http://dx.doi.org/10.21037/atm.2020.01.125DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327371PMC

The recent failure of the PROMESA clinical trial for multiple system atrophy raises the question-are polyphenols a viable therapeutic option against proteinopathies?

Authors:
Gal Bitan

Ann Transl Med 2020 Jun;8(11):719

Department of Neurology, David Geffen School of Medicine, Brain Research Institute, and Molecular Biology Institute, University of California, Los Angeles, CA, USA.

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http://dx.doi.org/10.21037/atm.2020.01.117DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327354PMC

The Chinese experience with anti-NMDAR encephalitis.

Ann Transl Med 2020 Jun;8(11):718

Institut NeuroMyogène, Equipe Synaptopathies et Autoanticorps (SynatAc), INSERM U1217/UMR CRS 5310, Lyon, France.

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http://dx.doi.org/10.21037/atm.2020.01.127DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327338PMC

Rotator cuff muscle stem cells: the double-edged sword in the skeletal muscle.

Ann Transl Med 2020 Jun;8(11):717

Department of Orthopedic Surgery, Konkuk University School of Medicine, Seoul, Republic of Korea.

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http://dx.doi.org/10.21037/atm.2020.02.32DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327348PMC

Anti-NMDA receptor encephalitis: epidemiological differences and common challenges.

Ann Transl Med 2020 Jun;8(11):716

Section Translational Neuroimmunology, Department of Neurology, Jena University Hospital, Jena, Germany.

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http://dx.doi.org/10.21037/atm.2020.02.34DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327341PMC

Translating artificial intelligence into clinical practice.

Ann Transl Med 2020 Jun;8(11):715

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

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http://dx.doi.org/10.21037/atm.2019.11.110DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327360PMC

Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization.

Ann Transl Med 2020 Jun;8(11):714

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Artificial intelligence (AI) based on machine learning (ML) and deep learning (DL) techniques has gained tremendous global interest in this era. Recent studies have demonstrated the potential of AI systems to provide improved capability in various tasks, especially in image recognition field. As an image-centric subspecialty, ophthalmology has become one of the frontiers of AI research. Read More

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http://dx.doi.org/10.21037/atm-20-976DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327317PMC

A review of the application of deep learning in medical image classification and segmentation.

Ann Transl Med 2020 Jun;8(11):713

Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China.

Big medical data mainly include electronic health record data, medical image data, gene information data, etc. Among them, medical image data account for the vast majority of medical data at this stage. How to apply big medical data to clinical practice? This is an issue of great concern to medical and computer researchers, and intelligent imaging and deep learning provide a good answer. Read More

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http://dx.doi.org/10.21037/atm.2020.02.44DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327346PMC

The combination of brain-computer interfaces and artificial intelligence: applications and challenges.

Ann Transl Med 2020 Jun;8(11):712

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Brain-computer interfaces (BCIs) have shown great prospects as real-time bidirectional links between living brains and actuators. Artificial intelligence (AI), which can advance the analysis and decoding of neural activity, has turbocharged the field of BCIs. Over the past decade, a wide range of BCI applications with AI assistance have emerged. Read More

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http://dx.doi.org/10.21037/atm.2019.11.109DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327323PMC

Using artificial intelligence to improve medical services in China.

Ann Transl Med 2020 Jun;8(11):711

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Artificial intelligence (AI) is one hotspot of research in the field of modern medical technology. Medical AI has been applied to various areas and has two main branches including virtual and physical. Recently, Chinese State Council issued a guideline on developing AI and indicated that the widespread application of AI will improve the level of precision in medical services and achieve the intelligent medical care. Read More

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http://dx.doi.org/10.21037/atm.2019.11.108DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327308PMC

Differentiate cavernous hemangioma from schwannoma with artificial intelligence (AI).

Ann Transl Med 2020 Jun;8(11):710

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Background: Cavernous hemangioma and schwannoma are tumors that both occur in the orbit. Because the treatment strategies of these two tumors are different, it is necessary to distinguish them at treatment initiation. Magnetic resonance imaging (MRI) is typically used to differentiate these two tumor types; however, they present similar features in MRI images which increases the difficulty of differential diagnosis. Read More

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http://dx.doi.org/10.21037/atm.2020.03.150DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327353PMC

Quantitative analysis of functional filtering bleb size using Mask R-CNN.

Ann Transl Med 2020 Jun;8(11):709

Department of Ophthalmology, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.

Background: Deep learning has had a large effect on medical fields, including ophthalmology. The goal of this study was to quantitatively analyze the functional filtering bleb size with Mask R-CNN.

Methods: This observational study employed eighty-three images of post-trabeculectomy functional filtering blebs. Read More

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http://dx.doi.org/10.21037/atm.2020.03.135DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327364PMC

Attitudes towards medical artificial intelligence talent cultivation: an online survey study.

Ann Transl Med 2020 Jun;8(11):708

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Background: To investigate the attitude and formal suggestions on talent cultivation in the field of medical artificial intelligence (AI).

Methods: An electronic questionnaire was sent to both medical-related field or non-medical field population using the WenJuanXing web-application via social media. The questionnaire was designed to collect: (I) demographic information; (II) perception of medical AI; (III) willingness to participate in the medical AI related teaching activities; (IV) teaching content of medical AI; (V) the role of medical AI teaching; (VI) future career planning. Read More

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http://dx.doi.org/10.21037/atm.2019.12.149DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327345PMC

Fast screening for children's developmental language disorders via comprehensive speech ability evaluation-using a novel deep learning framework.

Ann Transl Med 2020 Jun;8(11):707

Department of Chinese Language and Literature, Sun Yat-sen University, Guangzhou, China.

Background: Developmental language disorders (DLDs) are the most common developmental disorders in children. For screening DLDs, speech ability (SA) is one of the most important indicators.

Methods: In this paper, we propose a solution for the fast screening of children's DLDs based on a comprehensive SA evaluation and a deep framework of machine learning. Read More

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http://dx.doi.org/10.21037/atm-19-3097DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327328PMC

Deep learning-based automated diagnosis of fungal keratitis with confocal microscopy images.

Ann Transl Med 2020 Jun;8(11):706

Center for Precision Medicine, Sun Yat-sen University, Guangzhou, China.

Background: The aim of this study was to develop an intelligent system based on a deep learning algorithm for automatically diagnosing fungal keratitis (FK) in in vivo confocal microscopy (IVCM) images.

Methods: A total of 2,088 IVCM images were included in the training dataset. The positive group consisted of 688 images with fungal hyphae, and the negative group included 1,400 images without fungal hyphae. Read More

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http://dx.doi.org/10.21037/atm.2020.03.134DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327373PMC

Automatic identification of myopia based on ocular appearance images using deep learning.

Ann Transl Med 2020 Jun;8(11):705

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Background: Myopia is the leading cause of visual impairment and affects millions of children worldwide. Timely and annual manual optometric screenings of the entire at-risk population improve outcomes, but screening is challenging due to the lack of availability and training of assessors and the economic burden imposed by the screenings. Recently, deep learning and computer vision have shown powerful potential for disease screening. Read More

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http://dx.doi.org/10.21037/atm.2019.12.39DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327333PMC

Distinguishing risk factors between congenital anophthalmia and microphthalmia using multivariable logistic regression.

Ann Transl Med 2020 Jun;8(11):704

Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Ophthalmology and Visual Science Key Lab, Capital Medical University, Beijing, China.

Background: Etiologies of congenital microphthalmia and anophthalmia are unclear and commonly thought to be homogenous. To test if risk factors are similar for these two diseases, we compared the risk factors between congenital microphthalmia and anophthalmia in a large Chinese cohort.

Methods: A total of 347 patients with congenital microphthalmia or anophthalmia diagnosed by magnetic resonance imaging (MRI), computed tomography (CT) or ultrasound from 2011 to 2018 were enrolled. Read More

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http://dx.doi.org/10.21037/atm.2019.12.103DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327332PMC

An artificial intelligence model for the simulation of visual effects in patients with visual field defects.

Ann Transl Med 2020 Jun;8(11):703

Shenzhen Eye Hospital Affiliated to Jinan University, Shenzhen Eye Institute, Shenzhen, China.

Background: This study aimed to simulate the visual field (VF) effects of patients with VF defects using deep learning and computer vision technology.

Methods: We collected 3,660 Humphrey visual fields (HVFs) as data samples, including 3,263 reliable 24-2 HVFs. The convolutional neural network (CNN) analyzed and converted the grayscale map of reliable samples into structured data. Read More

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http://dx.doi.org/10.21037/atm.2020.02.162DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327351PMC

Application of neural network model in assisting device fitting for low vision patients.

Ann Transl Med 2020 Jun;8(11):702

Department of Ophthalmology, The Second Affiliated Hospital of Fujian Medical University, Quanzhou, China.

Background: To explore the application of neural network models in artificial intelligence (AI)-aided devices fitting for low vision patients.

Methods: The data of 836 visually impaired people were collected in southwestern Fujian from May 2014 to May 2017. After a full eye examination, 629 low vision patients were selected from this group. Read More

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http://dx.doi.org/10.21037/atm.2020.02.161DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327309PMC

Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors.

Ann Transl Med 2020 Jun;8(11):701

Department of Diagnostic Radiology and Nuclear Medicine, Rush University Medical Center, Chicago, IL, USA.

Background: To develop a deep learning (DL) method based on multiphase, contrast-enhanced (CE) magnetic resonance imaging (MRI) to distinguish Liver Imaging Reporting and Data System (LI-RADS) grade 3 (LR-3) liver tumors from combined higher-grades 4 and 5 (LR-4/LR-5) tumors for hepatocellular carcinoma (HCC) diagnosis.

Methods: A total of 89 untreated LI-RADS-graded liver tumors (35 LR-3, 14 LR-4, and 40 LR-5) were identified based on the radiology MRI interpretation reports. Multiphase 3D T1-weighted gradient echo imaging was acquired at six time points: pre-contrast, four phases immediately post-contrast, and one hepatobiliary phase after intravenous injection of gadoxetate disodium. Read More

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http://dx.doi.org/10.21037/atm.2019.12.151DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327307PMC

Artificial intelligence-tutoring problem-based learning in ophthalmology clerkship.

Ann Transl Med 2020 Jun;8(11):700

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Background: Artificial intelligence (AI) is an increasingly popular tool in medical investigations. However, AI's potential of aiding medical teaching has not been explored. This study aimed to evaluate the effectiveness of AI-tutoring problem-based-learning (PBL) in ophthalmology clerkship and to assess the student evaluations of this module. Read More

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http://dx.doi.org/10.21037/atm.2019.12.15DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327320PMC

Altered brain language network in idiopathic peripheral facial paralysis patients with dysarthria.

Ann Transl Med 2020 Jun;8(11):699

Department of Radiology, China-Japan Friendship Hospital, Beijing, China.

Background: Dysarthria is one of the common symptoms of facial paralysis (FP). This study aimed to investigate functional alterations in the brain language network in early idiopathic peripheral FP patients with dysarthria using resting-state functional magnetic resonance imaging (fMRI).

Methods: A total of 45 cases of FP (left 22, right 23) and 34 cases of healthy control (HC) were recruited into this study. Read More

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http://dx.doi.org/10.21037/atm.2020.03.133DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327355PMC

Web-based study on Chinese dermatologists' attitudes towards artificial intelligence.

Ann Transl Med 2020 Jun;8(11):698

Department of Dermatology, China-Japan Friendship Hospital, Beijing, China.

Background: Artificial intelligence (AI) has become a powerful tool and is attracting more attention in the field of medicine. There are a number of AI studies focusing on skin diseases, and there are many AI products that have been applied in dermatology. However, the attitudes of dermatologists, specifically those from China, towards AI, is not clear as few, if any studies have focused on this issue. Read More

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http://dx.doi.org/10.21037/atm.2019.12.102DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327314PMC

An artificial intelligent platform for live cell identification and the detection of cross-contamination.

Ann Transl Med 2020 Jun;8(11):697

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.

Background: About 30% of cell lines have been cellular cross-contaminated and misidentification, which can result in invalidated experimental results and unusable therapeutic products. Cell morphology under the microscope was observed routinely, and further DNA sequencing analysis was performed periodically to verify cell line identity, but the sequencing analysis was costly, time-consuming, and labor intensive. The purpose of this study was to construct a novel artificial intelligence (AI) technology for "cell face" recognition, in which can predict DNA-level identification labels only using cell images. Read More

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http://dx.doi.org/10.21037/atm.2019.07.105DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327366PMC

Blockchain: chaining digital health to a new era.

Ann Transl Med 2020 Jun;8(11):696

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Centre, Sun Yat-sen University, Guangzhou, China.

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http://dx.doi.org/10.21037/atm-20-2854DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327318PMC

Trajectory of the COVID-19 pandemic: chasing a moving target.

Ann Transl Med 2020 Jun;8(11):694

Division of Pulmonary and Critical Care Medicine, Mayo Clinic, Rochester, Minnesota, USA.

The spread of COVID-19 has already taken a pandemic form, affecting over 180 countries in a matter of three months. The full continuum of disease ranges from mild, self-limiting illness to severe progressive COVID-19 pneumonia, multiorgan failure, cytokine storm and death. Younger and healthy population is now getting affected than before. Read More

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http://dx.doi.org/10.21037/atm-20-2793DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327313PMC

COVID-19: unravelling the clinical progression of nature's virtually perfect biological weapon.

Ann Transl Med 2020 Jun;8(11):693

Cardiac Intensive Care Unit, The Heart Institute, Cincinnati Children's Hospital Medical Center, Ohio, USA.

Coronavirus disease 2019 (COVID-19) pandemic has shocked the world and caused morbidity and mortality on an unprecedented level in the era of modern medicine. Evidence generated to-date on the virulence and pathogenicity of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) suggests that COVID-19 may be considered a perfect storm, caused by a nature's virtually perfect biological weapon. This conclusion is supported by an updated analysis of pathogenesis and clinical progression of this infectious disease. Read More

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http://dx.doi.org/10.21037/atm-20-3989DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327324PMC

A single-center 14-year follow-up study of the BalMedic bovine pericardial bioprosthetic valve.

Ann Transl Med 2020 Jun;8(11):692

Department of Cardiac Surgery, The First People's Hospital of Yulin, Yulin, China.

Background: The causes of valvular disease in China are complex, with a broad age distribution. For patients with early mechanical valve replacement, the quality of life is affected by postoperative anticoagulation-related complications. Since 2005, we have used bioprosthetic valves to provide more options for patients. Read More

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http://dx.doi.org/10.21037/atm-20-3790DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327367PMC

Astrocytic histone deacetylase 2 facilitates delayed depression and memory impairment after subarachnoid hemorrhage by negatively regulating glutamate transporter-1.

Ann Transl Med 2020 Jun;8(11):691

Department of Neurosurgery and Institute for Functional Brain Disorders, Tangdu Hospital, Fourth Military Medical University, Xi'an, China.

Background: Delayed cognitive impairment (DCI) after subarachnoid hemorrhage (SAH) is one of the most common sequelae in patients. This study aimed to investigate the characteristics of the course and glutamatergic pathogenesis of DCI after SAH in mice.

Methods: A SAH mouse model of internal carotid puncture was used. Read More

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http://dx.doi.org/10.21037/atm-20-4330DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327310PMC

Retrospective analysis of 1,641 cases of classic fever of unknown origin.

Ann Transl Med 2020 Jun;8(11):690

Center of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, China.

Background: Fever of unknown origin (FUO) is commonly defined as fever higher than 38.3 °C on several occasions during at least 3 weeks with uncertain diagnosis after a number of obligatory investigations. It is a special type of fever and a common disease in internal medicine. Read More

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http://dx.doi.org/10.21037/atm-20-3875DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327343PMC

Real-time estimation of the reproduction number of the novel coronavirus disease (COVID-19) in China in 2020 based on incidence data.

Ann Transl Med 2020 Jun;8(11):689

Department of Applied Mathematics, Hong Kong Polytechnic University, Hong Kong, China.

Background: Since the first appearance in Wuhan, China in December 2019, the novel coronavirus disease (COVID-19) has posed serious threats to the public health in many Chinese places and overseas. It is essential to quantify the transmissibility on real-time basis for designing public health responses.

Methods: We estimated the time-varying reproduction numbers in China, Hubei province and Wuhan city by using the renewable equation determined by the serial interval (SI) of COVID-19. Read More

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http://dx.doi.org/10.21037/atm-20-1944DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327374PMC

Resveratrol activates DNA damage response through inhibition of polo-like kinase 1 (PLK1) in natural killer/T cell lymphoma.

Ann Transl Med 2020 Jun;8(11):688

Key Laboratory of Medical Molecular Virology of Ministry of Education & Ministry of Health, and Institutes of Biomedical Sciences, Fudan University, Shanghai 200032, China.

Background: Extranodal natural killer/T cell lymphoma (NKTCL) is a highly aggressive non-Hodgkin lymphoma with a poor prognosis. Resveratrol (REV), a natural nontoxic pleiotropic agent, has antitumor effects, yet not being studied in NKTCL.

Methods: We performed immunohistochemical (IHC) staining with NKTCL tumor tissues. Read More

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http://dx.doi.org/10.21037/atm-19-4324DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327334PMC

Comparison of readmission and early revision rates as a quality metric in total knee arthroplasty using the Nationwide Readmission Database.

Ann Transl Med 2020 Jun;8(11):687

Department of Urology, University of Pittsburgh, Pittsburgh, PA, USA.

Background: After release of the Comprehensive Care for Joint Replacement bundle, there has been increased emphasis on reducing readmission rates for total knee arthroplasty (TKA). The potential for a separate, clinically-relevant metric, TKA revision rates within a year following surgery, has not been fully explored. Based on this, we compared rates and payments for TKA readmission and revision procedures as metrics for improving quality and cost. Read More

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http://dx.doi.org/10.21037/atm-19-3463DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327322PMC

Comparative evaluation of peptidome and microbiota in different types of saliva samples.

Ann Transl Med 2020 Jun;8(11):686

Department of Preventive Dentistry, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing, China.

Background: Clinical and research interest in salivary peptidome and microbiota is ever-growing owing to its great value for diagnosis, risk assessment and prediction of prognosis in oral and systemic diseases. Saliva can be stimulated for the purpose of rapid collection, but currently there are no studies systematically addressing the similarities and differences of salivary peptidome and microbiota in different types of samples. The purpose of this study was to investigate the variations of salivary peptidome and microbial profiles in response to different stimulating conditions. Read More

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http://dx.doi.org/10.21037/atm-20-393DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327340PMC

High-level gain of mesenchymal-epithelial transition factor (MET) copy number using next-generation sequencing as a predictive biomarker for MET inhibitor efficacy.

Ann Transl Med 2020 Jun;8(11):685

Department of Oncology, Jiangsu Cancer Hospital & Jiangsu Institute of Cancer Research & The Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, China.

Background: In clinical oncology, targeted next-generation sequencing (NGS) has become an integral part of the routine molecular diagnostics repertoire. However, a consensus is yet to be agreed on the optimal mesenchymal-epithelial transition factor () copy number (CN) cut-off value based on NGS data that could predict the MET-amplified non-small cell lung cancer (NSCLC) patients who could benefit from tyrosine kinase inhibitor (TKI) therapy. In this study, we aimed to identify the criteria to define amplification derived from NGS data. Read More

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http://dx.doi.org/10.21037/atm-20-2741DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327325PMC

Hashimoto's thyroiditis might increase polycystic ovary syndrome and associated comorbidities risks in Asia.

Ann Transl Med 2020 Jun;8(11):684

Graduate Institute of Biomedical Sciences, China Medical University, Taichung.

Background: To investigate whether increased the comorbidities such as coronary artery disease (CAD) and risks between Hashimoto's thyroiditis (HT) and polycystic ovary syndrome (PCOS) in Taiwanese women.

Methods: Patients newly diagnosed as having HT during 2000-2012 were assigned to the case group. Cases and controls were matched for age and comorbidities at a 1:2 ratio using propensity score matching. Read More

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http://dx.doi.org/10.21037/atm-19-4763DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327368PMC

Kidney transplantation from small pediatric donors may be feasible to those who developed chronic refractory dialysis hypotension: a single-center experience.

Ann Transl Med 2020 Jun;8(11):683

Kidney Disease Center, the First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.

Background: Chronic refractory dialysis hypotension (CRDH) is a serious issue in dialysis patients waiting for transplants. It leads to fatal clinical outcomes and disqualification from kidney transplantation. Kidney transplantation from pediatric donor to adult patient with lower blood pressure (BP) may be an option. Read More

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http://dx.doi.org/10.21037/atm-20-304DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327316PMC

A quantitative evaluation of sciatic nerve stiffness after compression by shear wave elastography in diabetic rats.

Ann Transl Med 2020 Jun;8(11):682

Department of Ultrasound, Peking University People's Hospital, Beijing, China.

Background: Our study investigates the feasibility of using quantitative evaluation for nerve entrapment visualization by shear wave elastography (SWE) in diabetic rats.

Methods: A total of 24 male Sprague-Dawley (SD) rats were included in this study. Before injection of streptozotocin (STZ), the experimental groups were assigned as the diabetic nerve compression (DNC) group (DNC, n=18) and the control group (CON, n=6). Read More

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http://dx.doi.org/10.21037/atm-19-4534DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327375PMC

Comparative study of Pauwels type III femoral neck fractures managed by short dynamic hip screw with fibula bone graft or cannulated screws in young adults.

Ann Transl Med 2020 Jun;8(11):681

Trauma Emergency Center, Third Hospital of Hebei Medical University, Shijiazhuang, China.

Background: The aim of our study was to compare the clinical effect of short dynamic hip screw (DHS) combined with fibula bone graft and short DHS combined with cannulated screws (CS) on the treatment of femoral neck fracture in young adults.

Methods: Thirty-five Pauwels type III femoral neck fracture patients between January 2014 and May 2019 were divided into two groups: group A (patients treated with DHS combined with fibula bone graft) and group B (patient treated with DHS combined with CS). The operative time, intraoperative blood loss, fracture healing time and complication of two groups were recorded. Read More

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http://dx.doi.org/10.21037/atm-19-3344DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327311PMC

Should the left gastric artery lymph node be considered as the predictive lymph node for extra-gastric lymph node metastases?

Ann Transl Med 2020 Jun;8(11):680

Department of Gastroenterology, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Tianjin, China.

Background: To validate the prognostic impacts of the left gastric artery lymph node (No. 7 LN) metastasis and investigate whether the No. 7 LN metastasis should be considered as the predictive LN for extra-gastric LN metastases. Read More

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http://dx.doi.org/10.21037/atm-19-4786aDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327347PMC

Coronavirus disease 2019 (COVID-19): chest CT characteristics benefit to early disease recognition and patient classification-a single center experience.

Ann Transl Med 2020 Jun;8(11):679

Department of Radiology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.

Background: The current outbreak of coronavirus disease 2019 (COVID-19), epi-centered in Wuhan, Hubei Province of the China, has become a global health emergency. Several studies from China have recently provided the evidence of epidemiological, clinical, laboratory, and outcomes of COVID-19 patients. Investigation on the role of chest CT in patient screening and management course in a large cohort remains paucity. Read More

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http://dx.doi.org/10.21037/atm-20-2119aDOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7327362PMC