Junlin Zhou

ORCID: 0000-0001-8109-6347
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About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Meningioma and schwannoma management
  • Glioma Diagnosis and Treatment
  • Advanced X-ray and CT Imaging
  • Neurofibromatosis and Schwannoma Cases
  • Medical Imaging Techniques and Applications
  • Bone Tumor Diagnosis and Treatments
  • MRI in cancer diagnosis
  • Lung Cancer Diagnosis and Treatment
  • Soft tissue tumor case studies
  • Sarcoma Diagnosis and Treatment
  • Gastric Cancer Management and Outcomes
  • Radiation Dose and Imaging
  • Lung Cancer Treatments and Mutations
  • Colorectal Cancer Screening and Detection
  • Photoacoustic and Ultrasonic Imaging
  • Cardiovascular Disease and Adiposity
  • Intracerebral and Subarachnoid Hemorrhage Research
  • Cardiovascular, Neuropeptides, and Oxidative Stress Research
  • Cardiac Imaging and Diagnostics
  • Pituitary Gland Disorders and Treatments
  • Colorectal Cancer Surgical Treatments
  • Acute Ischemic Stroke Management
  • Gastrointestinal Tumor Research and Treatment
  • Colorectal Cancer Treatments and Studies

Lanzhou University
2016-2025

Lanzhou University Second Hospital
2016-2025

Shanxi Provincial Cancer Hospital
2025

Shanxi Medical University
2024-2025

Shenzhen Polytechnic
2025

Peking Union Medical College Hospital
2024

North Sichuan Medical University
2024

Chinese Academy of Medical Sciences & Peking Union Medical College
2024

The People's Hospital of Guangxi Zhuang Autonomous Region
2024

University of Southampton
2023

The purpose of this study was to investigate the utility combining clinical and spectral computed tomography (CT) parameters for preoperative evaluation lymphovascular invasion (LVI) perineural (PNI) in gastric cancers (GCs).Patients with adenocarcinoma who underwent spectral-CT examination were retrospectively examined. All diagnoses confirmed by pathology, patients divided into positive negative groups based on LVI/PNI occurrence. Clinical characteristics, including demographic...

10.1016/j.diii.2022.07.004 article EN cc-by-nc-nd Diagnostic and Interventional Imaging 2022-08-05

To investigate the utility of preoperative magnetic resonance imaging histogram analysis for evaluating tumor-infiltrating CD8+ T cells in patients with glioblastoma (GBM). We retrospectively analyzed pathological and data 61 GBM confirmed by surgery pathology. Moreover, levels tumor tissue samples obtained from were quantified through immunohistochemical staining evaluated respect to overall survival. The divided into high low CD8 expression groups. Preoperative T1-weighted...

10.1016/j.nicl.2023.103353 article EN cc-by-nc-nd NeuroImage Clinical 2023-01-01

The purpose of this study was to identify possible association between noncontrast computed tomography (NCCT)-based radiomics features perihematomal edema (PHE) and poor functional outcome at 90 days after intracerebral hemorrhage (ICH) develop a NCCT-based radiomics-clinical nomogram predict 90-day outcomes in patients with ICH.In multicenter retrospective study, 107 were extracted from 1098 NCCT examinations obtained ICH. There 652 men 446 women mean age 60 ± 12 (SD) years (range: 23-95...

10.1016/j.diii.2023.04.008 article EN cc-by-nc-nd Diagnostic and Interventional Imaging 2023-05-11

Objective: To discuss the correlation of International Society Urological Pathology (ISUP) pathological grading with18F-prostate specific membrane antigen (PSMA)-1007 positron emission tomography-computed tomography (PET/CT) parameters and serum total prostate (tPSA) in cancer, assess clinical value PET/CT combined with tPSA predicting ISUP grade cancer. Methods: The primary images 117 patients diagnosed cancer at Shanxi Cancer Hospital from August 2018 to February 2023 taken 18F-PSMA-1007...

10.3760/cma.j.cn112152-20240417-00156 article EN PubMed 2025-02-23

Acute-on-chronic liver failure (ACLF) is a life-threatening hepatic syndrome. Therefore, this study aimed to develop comprehensive model combining extracellular volume derived from spectral CT (ECVIC-liver) and sarcopenia, for the early prediction of short-term (90-day) disease progression in ACLF. A retrospective cohort 126 ACLF patients who underwent scans was included. According Asia-Pacific Association Study Liver (APASL) criteria, were divided into group (n = 70) stable 56). ECVIC-liver...

10.1186/s12880-025-01600-9 article EN cc-by-nc-nd BMC Medical Imaging 2025-03-03

“Just Accepted” papers have undergone full peer review and been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, proof before it is published its final version. Please note that during production of the copyedited article, errors may be discovered which could affect content. Purpose To evaluate a Sham-AI model acting as placebo control Standard-AI intracranial aneurysm diagnosis. Materials Methods retrospective crossover, blinded,...

10.1148/ryai.240140 article EN cc-by Radiology Artificial Intelligence 2025-03-19

Background: Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia. remodeling often leads to impaired clinical outcomes after AF ablation. Understanding factors influencing recurrence ablation crucial for improving patient prognosis. This study aimed investigate relationship between left atrial (LA) morphologic heterogeneity, quantified by fractal dimension (FD), and recurrence, as well impact on European Heart Rhythm Association (EHRA) symptom scores following Methods:...

10.21037/qims-24-2049 article EN Quantitative Imaging in Medicine and Surgery 2025-04-01

Early evaluation of the efficacy first-line chemotherapy combined with bevacizumab in patients colorectal cancer liver metastasis (CRLM) remains challenging. This study used 2-month post-chemotherapy spectral computed tomography (CT) to predict overall survival (OS) and response CRLM bevacizumab-containing therapy.This retrospective analysis was performed 104 pathologically confirmed between April 2017 October 2021. Patients were treated 5-fluorouracil, leucovorin, oxaliplatin or irinotecan...

10.1186/s40644-023-00547-w article EN cc-by Cancer Imaging 2023-03-24
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