A5101406453- Radiomics and Machine Learning in Medical Imaging
- Gastric Cancer Management and Outcomes
- Gastrointestinal Tumor Research and Treatment
- MRI in cancer diagnosis
- Cancer, Hypoxia, and Metabolism
- Medical Imaging Techniques and Applications
- Thyroid Cancer Diagnosis and Treatment
- Nanoparticle-Based Drug Delivery
- Radiation Dose and Imaging
- Renal Diseases and Glomerulopathies
- Lung Cancer Diagnosis and Treatment
- Cancer, Lipids, and Metabolism
- Chronic Kidney Disease and Diabetes
- RNA regulation and disease
- Intraperitoneal and Appendiceal Malignancies
- Characterization and Applications of Magnetic Nanoparticles
- Atomic and Subatomic Physics Research
- Autophagy in Disease and Therapy
- Cancer Research and Treatments
- Vasculitis and related conditions
- Pancreatic and Hepatic Oncology Research
- Sirtuins and Resveratrol in Medicine
- Machine Learning and Data Classification
- Colorectal and Anal Carcinomas
- Cardiac tumors and thrombi
Jiangsu University
2013-2025
Affiliated Hospital of Jiangsu University
2013-2025
Nanjing Normal University
2024
Macau University of Science and Technology
2024
Nanjing Medical University
2013-2024
Dalian Medical University
2021-2023
First Affiliated Hospital of Dalian Medical University
2021-2023
Jiangsu Province Hospital
2013
BackgroundOccult peritoneal metastasis (PM) in advanced gastric cancer (AGC) patients is highly possible to be missed on computed tomography (CT) images. Patients with occult PMs are subject late detection or even improper surgical treatment. We therefore aimed develop a radiomic nomogram preoperatively identify AGC patients.Patients and methodsA total of 554 from 4 centers were divided into 1 training, internal validation, 2 external validation cohorts. All patients' PM status was firstly...
•Evaluation of the lymph node metastasis (LNM) is basis individual treatment locally advanced gastric cancer (LAGC).•Deep leaning radiomic nomogram (DLRN) based on CT images can preoperatively determine number LNM in LAGC.•DLRN significantly superior to routinely used clinical N stages, tumor size, and model.•DLRN associated with overall survival LAGC. BackgroundPreoperative evaluation (LAGC). However, preoperative determination method not accurate enough.Patients methodsWe enrolled 730 LAGC...
In previous studies, we and others have shown that bone marrow mesenchymal stem cells (MSCs) are recruited to sites of growing tumors promote tumor growth in mouse xenograft models, suggesting interactions between MSCs may play an important role this process. However, the exact mechanism remains unclear. present study, investigated whether physical presence or continuous is required for enhanced growth, found pretreatment SGC-7901 with a single dose human MSC-conditioned medium (hMSC-CM)...
Abstract Background Preoperative prediction of the Lauren classification in gastric cancer (GC) is very important to choice therapy, evaluation prognosis, and improvement quality life. However, there not yet radiomics analysis concerning straightly. In this study, a radiomic nomogram was developed preoperatively differentiate diffuse type from intestinal GC. Methods A total 539 GC patients were enrolled study later randomly allocated two cohorts at 7:3 ratio for training validation. Two sets...
To develop and validate a radiomics model based on the features of Dual-Energy CT (DECT) venous phase iodine density maps effective atomic number to predict Ki-67 expression levels in gastrointestinal stromal tumors (GISTs). A total 91 patients with GIST were retrospectively analyzed, including 69 low (≤5%) 22 high (>5%). Four clinical (gender, age, maximum tumor diameter, location) extracted construct model. The enhanced DSCT used build models. Logistic regression was combine combined...
Abstract Background This study aimed to develope and validate a radiomics nomogram by integrating the quantitative characteristics of No.3 lymph nodes (LNs) primary tumors better predict preoperative node metastasis (LNM) in T1-2 gastric cancer (GC) patients. Methods A total 159 GC patients who had undergone surgery with lymphadenectomy between March 2012 November 2017 were retrospectively collected divided into training cohort (n = 80) testing 79). Radiomic features extracted from both...
Objective The objective of this study was to investigate the correlation between degree necrosis displayed in computed tomography (CT) image and expression hypoxic angiogenesis biomarkers breast cancer. Methods Forty-four cancer cases were examined with CT before surgery. Tumor specimen expressions glucose transporter 1 (Glut1), hypoxia-inducible factor 1α (HIF-1α), carbonic anhydrase IX (CA IX), vascular endothelial growth (VEGF), CD34 (as a marker cells) detected by immunohistochemistry....
To establish new diagnostic criteria for improvement of the accuracy multi-slice spiral computed tomography (MSCT) in diagnosing N-stage and lymph node (LN) metastasis gastric cancer (GC).MSCT was performed with plain triphasic dynamic contrast enhancement. Different regions LN N-staging were determined according to herein-proposed combined then correlated pathological analysis. The Kappa consistency test used study MSCT.The MSCT as a whole 86.3%, that 79.1% 98.9%. values stages N0, N1, N3...
Abstract Purpose Borrmann classification in advanced gastric cancer (AGC) is necessarily associated with personalized surgical strategy and prognosis. But few radiomics research studies have focused on specific classification, there yet no consensus regarding what machine learning methods should be the most effective. Methods A combined size of 889 AGC patients was retrospectively enrolled from two centers. Radiomic features were extracted tumors manually delineated preoperative computed...
Breast cancer is one of the most common type female worldwide and represents 14% cancer-related deaths in women. Early detection important factor for treatment prognosis breast cancer. In countries, women are currently screened with mammography only. Even though there has been considerable progress detection, surgical therapy, hormonal target therapy cancer, about ∼ 3500 000 who die from each year. Therefore, an urgent need to explore new techniques early Magnetic resonance imaging (MRI)...
This study aims to explore the predictive value of T2-weighted imaging (T2WI), apparent diffusion coefficient (ADC), and early-delayed phases enhanced magnetic resonance (DCE-MRI) radiomics prediction model in determining human epidermal growth factor receptor 2 status breast cancer.
Purpose This study aims to evaluate the utility of radiomic features from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in distinguishing HER2-low HER2-zero breast cancer. Patients and methods We retrospectively analyzed 118 MRI cases, including 78 40 patients confirmed by immunohistochemistry or fluorescence situ hybridization. From each DCE-MRI case, 960 were extracted. These screened reduced using intraclass correlation coefficient, Mann-Whitney U test, least absolute...
Abstract Tetrandrine (Tet), a well-known drug of calcium channel blocker, has been broadly applied for anti-inflammatory and anti-fibrogenetic therapy. However, due to the functional diversity ubiquitous channels, potential side-effects may be expected. Our previous report revealed an inhibitory effect Tet on myogenesis skeletal muscle. Here, we found that induced protein degradation resulting in myofibril atrophy. Upon administration with relative high dose (40 mg/kg) 28 days, mice...
Schizophrenia (SZ) is a highly heritable and heterogeneous disorder that often associated with widespread structural brain abnormalities. However, the causes of interindividual differences in genetic susceptibility remain largely unknown. This study attempted to address this important issue by utilizing prospective which unaffected first-degree relatives SZ (FH+) were recruited. A total 198 participants (143 FH + 55 healthy control participants) recruited completed diffusion tensor imaging...
Abstract Background Although the clinical benefit of obtaining a remission in proteinuria nephrotic patients with focal segmental glomerulosclerosis (FSGS) is recognized, long-term value maintaining it and impact relapses on outcome are not well described. Methods We examined remissions either 50% decline kidney function or end-stage disease (combined event) using time-dependent landmark analyses retrospective study all from Toronto Glomerulonephritis Registry biopsy-proven FSGS, established...
Preoperative prediction of cervical lymph node metastasis (CLNM) in patients with papillary thyroid carcinoma (PTC) is significant for surgical decision-making.This study aims to develop a dual-modal radiomics (DMR) model based on grayscale ultrasound (GSUS) and dual-energy computed tomography (DECT) non-invasive CLNM PTC.In this study, 348 pathologically confirmed PTC at Jiangsu University Affiliated People's Hospital who completed preoperative (US) DECT examinations were enrolled randomly...
BACKGROUND:Extranodal NK/T cell lymphoma, nasal type (ENKTL-NT) is difficult to distinguish from polyps and inverted papilloma, leading its high misdiagnosis ratio. The aim of this study was investigate potential prognostic indicators. MATERIAL AND METHODS:Kaplan-Meier method used calculate overall survival (OS) rate. Cox proportional hazards regression analyze risk ratios (ORs) with 95% confidence intervals (CIs). RESULTS:Nasal ala infiltration floor thickness >2.0 mm or septum >2.5 were...
Abstract Objective : We were aimed to develop a clinical-radiomics nomogram that could predict the cervical lymph node metastasis (CLNM) of patients with papillary thyroid carcinoma (PTC) using clinical characteristics as well radiomics features dualenergy computed tomography (DECT). Method Patients from our hospital suspected PTC who underwent DECT for preoperative assessment between January 2021 and February 2022 retrospectively recruited. Clinical characteristics, obtained medical record...