Jing Zhou

ORCID: 0000-0002-5133-740X
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About
Contact & Profiles
Research Areas
  • Radiomics and Machine Learning in Medical Imaging
  • Lung Cancer Diagnosis and Treatment
  • Thyroid Cancer Diagnosis and Treatment
  • AI in cancer detection
  • RNA modifications and cancer
  • Monoclonal and Polyclonal Antibodies Research
  • Gynecological conditions and treatments
  • RNA regulation and disease
  • Protease and Inhibitor Mechanisms
  • Cancer Immunotherapy and Biomarkers
  • Medical Imaging Techniques and Applications
  • Peripheral Neuropathies and Disorders
  • Gastric Cancer Management and Outcomes
  • Advanced X-ray and CT Imaging
  • Neuroendocrine Tumor Research Advances
  • Autoimmune Neurological Disorders and Treatments
  • Endometriosis Research and Treatment
  • Metastasis and carcinoma case studies
  • Cancer, Lipids, and Metabolism
  • Uterine Myomas and Treatments
  • Cancer Diagnosis and Treatment
  • HER2/EGFR in Cancer Research
  • Cell Adhesion Molecules Research
  • Breast Cancer Treatment Studies
  • Ferroptosis and cancer prognosis

The Affiliated Yongchuan Hospital of Chongqing Medical University
2024-2025

Chongqing Medical University
2023-2025

Children's Hospital of Chongqing Medical University
2023-2025

Taiyuan Central Hospital
2024

University of Duisburg-Essen
2024

University of Electronic Science and Technology of China
2024

Renmin University of China
2023

ShenZhen People’s Hospital
2023

Central South University
2023

Changsha Central Hospital
2023

Lung cancer screening using computed tomography (CT) has increased the detection rate of small pulmonary nodules and early-stage lung adenocarcinoma. It would be clinically meaningful to accurate assessment nodule histology by CT scans with advanced deep learning algorithms. However, recent studies mainly focus on predicting benign malignant nodules, lacking model for risk stratification invasive We propose an ensemble multi-view 3D convolutional neural network (EMV-3D-CNN) study include...

10.1038/s41746-023-00866-z article EN cc-by npj Digital Medicine 2023-07-05

The necessity of prophylactic lateral neck dissection for cN0 papillary thyroid carcinoma (PTC) remains debated. This study aimed to compare traditional nomograms with machine learning (ML) models predicting ipsilateral and level II, III, IV lymph node metastasis (LNM). Data from 1616 PTC patients diagnosed via fine needle aspiration biopsy Hospital A were split into training testing sets (7:3). 243 B served as validation set. Four dependent variables-ipsilateral lateral, LNM-were analyzed....

10.1210/clinem/dgaf070 article EN cc-by The Journal of Clinical Endocrinology & Metabolism 2025-02-08

A guanine insertion polymorphism in matrix metalloproteinase-1 promoter (MMP-1 2G) is linked to early onset and aggressiveness cancer. We determined the role of MMP-1 2G on expression breast cancer severity patients with diseases. observed no significant difference genotype distribution among different disease groups. However, was significantly higher atypical ductal hyperplasia than benign invasive compared situ group also correlated prognostic markers HER2 P53.

10.3109/07357907.2011.621915 article EN Cancer Investigation 2011-10-19

Although recent research progress on the abundant C-to-U RNA editing events in plant chloroplasts and mitochondria has uncovered many recognition factors their molecular mechanisms, intrinsic regulation of within plants remains largely unknown. This study aimed to establish a regulatory relationship Arabidopsis between hormone auxin chloroplast editing. We first analyzed response elements (AuxREs) present promoters reported date. found that each more than one AuxRE, suggesting potential role...

10.3390/ijms242316988 article EN International Journal of Molecular Sciences 2023-11-30

Lung cancer, particularly in its advanced stages, remains a leading cause of death globally. Though early detection via low-dose computed tomography (CT) is promising, the identification high-risk factors crucial for surgical mode selection challenge. Addressing this, our study introduces an Attention-Enhanced Graph Convolutional Network (AE-GCN) model to classify whether there are stage I lung cancer based on preoperative CT images. This will aid surgeons determining optimal method before...

10.1109/bibm58861.2023.10385853 article EN 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 2023-12-05

<title>Abstract</title> Prophylactic dissection of the paratracheal lymph nodes in clinical node-negative (cN0) papillary thyroid carcinoma (PTC) remains controversial, as it is difficult to accurately assess status preoperatively. This study aimed construct and validate an interpretable predictive model for node metastasis (PLNM) cN0 PTC using machine learning (ML) methods. We retrospectively selected 3,212 patients treated at First Affiliated Hospital Chongqing Medical University from 2016...

10.21203/rs.3.rs-4674956/v1 preprint EN cc-by Research Square (Research Square) 2024-07-29

Background The role of age in metastatic disease, including breast cancer, remains obscure. This study was conducted to determine the patients with de novo cancer. Methods Breast cancer diagnosed distant metastases between 2010 and 2019 were retrieved from Surveillance, Epidemiology, End Results database. Comparisons performed young (aged ≤ 40 years), middle-aged (41–60 older (61–80 oldest old (&amp;gt; 80 years) patients. Adjusted hazard ratios (aHRs) 95% confidence intervals (CIs)...

10.3389/fendo.2023.1184895 article EN cc-by Frontiers in Endocrinology 2023-11-06

The most common type of lung cancer, adenocarcinoma (LUAD), has been increasingly detected since the advent low-dose computed tomography screening technology. In clinical practice, pre-invasive LUAD (Pre-IAs) should only require regular follow-up care, while invasive (IAs) receive immediate treatment with appropriate cancer resection, based on subtype. However, prior research diagnosing mainly focused classifying Pre-IAs/IAs, as techniques for distinguishing different subtypes IAs have...

10.48550/arxiv.2308.13997 preprint EN other-oa arXiv (Cornell University) 2023-01-01

Lung cancer, particularly in its advanced stages, remains a leading cause of death globally. Though early detection via low-dose computed tomography (CT) is promising, the identification high-risk factors crucial for surgical mode selection challenge. Addressing this, our study introduces an Attention-Enhanced Graph Convolutional Network (AE-GCN) model to classify whether there are stage I lung cancer based on preoperative CT images. This will aid surgeons determining optimal method before...

10.48550/arxiv.2308.14000 preprint EN other-oa arXiv (Cornell University) 2023-01-01

A 50-year-old female complained of discomfort lower abdomen, and a colonoscopy revealed rectal neuroendocrine tumor (NET). Endoscopic ultrasonography (EUS) showed hypoechoic lesion (8.5*7.6 mm) originating from the submucosa layer. submucosal dissection (ESD) coupled with "modified clip elastic ring" traction was performed to remove NET. Following procedures previously described, we made subtle change.

10.17235/reed.2023.9952/2023 article EN publisher-specific-oa Revista Española de Enfermedades Digestivas 2023-01-01

Abstract Ferroptosis, a novel form of regulated cell death induced by excessive accumulation lipid peroxidation products, assumes pivotal role in the suppression tumorigenesis. Two prominent mitochondrial ferroptosis defense systems are constituted Glutathione peroxidase 4 (GPX4) and dihydroorotate dehydrogenase (DHODH), both which localized within mitochondria. However, existence supplementary cellular mechanisms against remains unclear. Our findings unequivocally demonstrate that...

10.21203/rs.3.rs-3395981/v1 preprint EN cc-by Research Square (Research Square) 2023-11-29

Uterine adhesion is mainly caused by endometrial injury, leading to poor postoperative pregnancy outcome. Therefore, preoperative evaluation on uterine cavity, especially condition, very necessary. This study aims explore the correlation between three-dimensional transvaginal ultrasound (3D-TVS) imaging characteristics and outcomes after hysteroscopic adhesiolysis (HA).

10.11817/j.issn.1672-7347.2023.230239 article EN PubMed 2023-12-28
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