A5074582364- Advanced X-ray and CT Imaging
- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- Medical Imaging Techniques and Applications
- Thyroid Cancer Diagnosis and Treatment
- Cardiac Imaging and Diagnostics
- Radiation Dose and Imaging
- Inhalation and Respiratory Drug Delivery
- Artificial Intelligence in Healthcare and Education
- Electrical and Bioimpedance Tomography
- Advanced MRI Techniques and Applications
- Medical Imaging and Analysis
- Medical Image Segmentation Techniques
- Neuroblastoma Research and Treatments
- Neuroendocrine Tumor Research Advances
- Testicular diseases and treatments
- Myasthenia Gravis and Thymoma
- Intracranial Aneurysms: Treatment and Complications
- Retinal Development and Disorders
- Glaucoma and retinal disorders
- Respiratory and Cough-Related Research
- Medical Imaging and Pathology Studies
- Gastrointestinal Tumor Research and Treatment
- Sarcoma Diagnosis and Treatment
- Gastric Cancer Management and Outcomes
Second Affiliated Hospital of Nanchang University
2011-2025
Nanchang University
2009-2025
Jiangxi Provincial Academy of Medical Sciences
2025
First Affiliated Hospital of Jiangxi Medical College
2024
Background and purpose: This study aims to develop compare combined models based on enhanced CT-based radiomics, multi-dimensional deep learning, clinical-conventional imaging spatial habitat analysis achieve accurate prediction of thymoma risk classification. Materials Methods: 205 consecutive patients with confirmed by surgical pathology were recruited from three medical centers. Venous phase CT images used delineate the tumor, 2D 3D learning whole tumor established feature extraction was...
Objective: In this study, we aimed to investigate the frequency-dependent spontaneous neural activity in primary angle-closure glaucoma (PACG) using amplitude of low-frequency fluctuations (ALFF) method. Patients and methods: total, 52 PACG individuals (24 males 28 females) normal-sighted controls (NS; 24 who were closely matched age, sex, education underwent resting-state magnetic resonance imaging scans. A repeated-measures ANOVA post hoc two-sample t -tests conducted analyze different...
Abstract Objective This study aimed to evaluate the feasibility and performance of deep transfer learning (DTL) networks with different types dimensions in differentiating thymomas from thymic cysts a retrospective cohort. Materials Methods Based on chest‐enhanced computed tomography (CT), region interest was delineated, maximum cross section lesion selected as input image. Five convolutional neural (CNNs) Vision Transformer (ViT) were used construct 2D DTL model. The model constructed by (...
To develop and validate a predictive model based on clinical radiology radiomics to enhance the ability distinguish between benign malignant solitary solid pulmonary nodules. In this study, we retrospectively collected computed tomography (CT) images data of 286 patients with isolated nodules diagnosed by surgical pathology, including 155 peripheral adenocarcinomas 131 They were randomly divided into training set verification at 7:3 ratio, 851 radiomic features extracted from thin-layer...
Based on pretherapy dual-energy computed tomography (DECT) images, we developed and validated a nomogram combined with clinical parameters radiomic features to predict the pathologic subtypes of non-small cell lung cancer (NSCLC) - adenocarcinoma (ADC) squamous carcinoma (SCC).A total 129 pathologically confirmed NSCLC patients treated at Second Affiliated Hospital Nanchang University from October 2017 2021 were retrospectively analyzed. Patients randomly divided in ratio 7:3 (n=90) into...
Objective: To develop and validate models for predicting distant metastases in patients with solid lung adenocarcinomas using 3D radiomic features, 2D clinical their combinations.Methods: This retrospective study included 253 eligible adenocarcinoma of the diagnosed at our hospital between August 2018 2021.3D regions interest were segmented from computed tomography-enhanced thinslice images venous phase, 851 features extracted each region.The Least Absolute Shrinkage Selection Operator...
Objective To study the application of three-dimensional simulated surgical technique in precise hepatectomy. Methods From July 2009 to February 2010, 16 patients with primary liver cancer underwent preoperative imaging and simulation resection.The 3D extent hepatectomy actual was compared analyzed. Results The shape resected were very similar hepatectomies. mean differences length, breadth depth remnant livers 0. 6118 cm,0. 4490 cm 3199 cm, respectively. Conclusions Simulation could predict...
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The risk of gastrointestinal stromal tumor (GIST) in combination with other primary malignancies is high, which occurs before and after the diagnosis GIST. Primary pulmonary T-cell lymphoma a rare type non-Hodgkin lymphoma.We report 53-year-old male patient who was admitted to our hospital fever, cough, expectoration for 2 weeks. Chest computed tomography (CT) showed cavitary mass left lower lobe multiple nodules upper lobes both lungs. had history surgery small intestinal tumors treated...