A5100456365- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Advanced Neuroimaging Techniques and Applications
- MRI in cancer diagnosis
- Advanced X-ray and CT Imaging
- Colorectal Cancer Surgical Treatments
- Gastric Cancer Management and Outcomes
- Lung Cancer Diagnosis and Treatment
- Colorectal Cancer Treatments and Studies
- Advanced Neural Network Applications
- Cancer Immunotherapy and Biomarkers
- Medical Image Segmentation Techniques
- COVID-19 diagnosis using AI
- Fetal and Pediatric Neurological Disorders
- Cancer Research and Treatments
- Digital Radiography and Breast Imaging
- Radiopharmaceutical Chemistry and Applications
- Metastasis and carcinoma case studies
- Glioma Diagnosis and Treatment
- Retinal Imaging and Analysis
- Medical Imaging Techniques and Applications
- Brain Tumor Detection and Classification
- Cancer Treatment and Pharmacology
- Breast Lesions and Carcinomas
- Electrical Fault Detection and Protection
Hebei Medical University
2020-2025
CHN Energy (China)
2025
Xuzhou No.1 People's Hospital
2025
Xuzhou Medical College
2025
First Affiliated Hospital of Hebei Medical University
2025
Suzhou Municipal Hospital
2025
Nanjing Medical University
2025
Heilongjiang University of Chinese Medicine
2025
Shandong Provincial QianFoShan Hospital
2025
First Affiliated Hospital of Chinese PLA General Hospital
2024
Objective To investigate the performance of high-order radiomics features and models based on T2-weighted fluid-attenuated inversion recovery (T2 FLAIR) in predicting immunohistochemical biomarkers glioma, order to execute a non-invasive, more precise personalized glioma disease management. Methods 51 pathologically confirmed gliomas patients committed our hospital from March 2015 June 2018 were retrospective analysis, Ki-67, vimentin, S-100 CD34 data collected. The volumes interest (VOIs)...
To develop and externally validate a conventional CT-based radiomics model for identifying HER2-positive status in gastric cancer (GC).950 GC patients who underwent pretreatment CT were retrospectively enrolled assigned into training cohort (n = 388, CT), an internal validation 325, CT) external 237, dual-energy CT, DECT). Radiomics features extracted from venous phase images to construct the "Radscore". On basis of univariate multivariate analyses, was built cohort, combining significant...
Objective To evaluate the diagnostic value of artificial intelligence (AI) in detection and management benign malignant pulmonary nodules (PNs) using computed tomography (CT) density. Methods A retrospective analysis was conducted on clinical data 130 individuals diagnosed with PNs based pathological confirmation. The utilization AI physicians has been employed process distinguishing PNs. CT images depicting were integrated into AI-based software. gold standard for evaluating accuracy...
Objective Studies have shown associations between Body Mass Index (BMI), High-Sensitivity C-reactive protein (HSCRP), and depressive symptoms(DP). However, the complex relationship them remains uncertain. The objective of this research is to examine correlation in a substantial sample that representative national level. Methods Our analysis was based on 2015-2016National Health Nutrition Examination Survey (NHANES).DP measured by Patient Questionnaire-9 (PHQ-9). Using multivariable logistic...
The retina is a simple window to reflect the changes of brain nerves. aim this study was investigate association between retinal status and white matter lesions (WMLs) in 143 patients aged 50-80 years, utilizing Optical Coherence Tomography Angiography (OCTA) Fazekas Visual Scale for assessment. A total subjects underwent MRI scanning assess degree WMLs using scale. Retinal imaging conducted OCTA. Multivariate logistic regression analysis employed determine odds ratios 95% confidence...
Background The promising therapeutic outcomes of neoadjuvant immunotherapy with chemotherapy (NAIC) in the treatment resectable locally advanced esophageal squamous cell carcinoma (LA-ESCC) have been confirmed by several clinical trials. However, potential benefits adjuvant therapy for LA-ESCC patients remain unclear. Materials and methods We analyzed underwent NAIC between January 2020 September 2023. effectiveness feasibility were evaluated. Results A total 112 included. With a median...
Co-combustion of coal and biomass for power generation technology could not only realize the effective utilization energy, but also reduce emission greenhouse gases. In this study, a system settling furnace with high temperature is applied to study ash deposition co-combustion salix. The effects salix blending ratio, flue gas temperature, wall on are studied. micro-morphology, elemental content, compound composition samples characterized by scanning electron microscopy energy-dispersive...
e16146 Background: The promising therapeutic outcomes of neoadjuvant immunotherapy with chemotherapy (NAIC) in the treatment resectable locally advanced esophageal squamous cell carcinoma (LA-ESCC) have been confirmed by several clinical trials. However, potential benefits adjuvant therapy for LA-ESCC patients remain unclear. Methods: We analyzed underwent NAIC and between January 2020 September 2023. effectiveness feasibility were evaluated. Results: A total 112 ESCC included. With a median...
AIM:To evaluate the value of positron emission tomography (PET)/computerized (CT) in surveillance colorectal cancer (CRC) patients with different carcinoembryonic antigen (CEA) concentrations. METHODS:One hundred and six postoperative CRC who had suspected recurrence or metastasis received fluorodeoxyglucose (FDG) PET/CT within one week were included this study.The final diagnosis was confirmed by histological examination clinical follow-up over at least months. RESULTS:The sensitivity,...
Female breast cancer has surpassed lung as the most common cancer, and is also main cause of death for women worldwide. Breast <1 cm showed excellent survival rate. However, diagnosis minimal (MBC) challenging.The purpose our research to develop validate an radiomics model based on ultrasound images early recognition MBC.302 masses with a diameter <10 mm were retrospectively studied, including 159 benign 143 malignant masses. The features extracted from gray-scale image largest face each...
The incidence rate of breast cancer has exceeded that lung cancer, and it become the most malignant type in world. BI-RADS 4 nodules have a wide range risks are associated with challenging clinical decision-making.To explore diagnostic value artificial intelligence (AI) automatic detection systems for to assess whether conventional ultrasound classification AI can reduce probability biopsy.A total 107 confirmed by pathology were selected between June 2019 July 2020 at Hwa Mei Hospital,...
Abstract Background Cumulative preclinical and clinical evidences showed radiotherapy might augment systemic antitumoral responses to immunotherapy for metastatic non-small cell lung cancer, but the optimal timing of combination is still unclear. The overall infiltration exhausted subpopulations tumor-infiltrating CD8 + T cells be a potential biomarker indicating response immune checkpoint inhibitors (ICI), alteration which previously uncharacterized during peri-irradiation period, while...
The cerebellum and cerebral cortex form the most important cortico-cerebellar system in brain. However, diffusion magnetic resonance imaging (MRI)-based tractography of connecting white matter between cortex, which support language function, has not been extensively reported on. This work aims to serve as a guideline for facilitating analysis tracts along language-related cerebro-cerebellar pathway (LRCCP), includes corticopontine, pontocerebellar, corticorubral, rubroolivary,...
The aim of the study was to investigate intelligent recognition radiomics based on convolutional neural network (CNN) in predicting endometrial cancer (EC). In this study, 158 patients with EC hospital were selected as research objects and divided into a training group test group. All underwent magnetic resonance imaging (MRI) before surgery. Based CNN, model prediction constructed according characteristics. Besides, comprehensive established through clinical information parameters. results...
Cone beam CT (CBCT) imaging technique has found many applications in medical recent years since it provides three-dimensional image reconstruction with low contrast detectability and high resolution. In CBCT systems, noise caused by photon counting statistics plays an important role quality affecting detection patient dose. this paper, we studied the Feldkamp's cone algorithm. A model based on detector was developed to provide distribution 3D space quantitative relationships between level...