A5042365626- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced X-ray and CT Imaging
- Colorectal Cancer Surgical Treatments
- AI in cancer detection
- Medical Imaging Techniques and Applications
- Breast Cancer Treatment Studies
- Colorectal Cancer Screening and Detection
- Myasthenia Gravis and Thymoma
- Advanced MRI Techniques and Applications
- Gastric Cancer Management and Outcomes
- Lung Cancer Diagnosis and Treatment
- Photoacoustic and Ultrasonic Imaging
- Gastrointestinal Tumor Research and Treatment
- Chinese history and philosophy
- Meningioma and schwannoma management
- Radiation Dose and Imaging
- Artificial Intelligence in Healthcare and Education
- Head and Neck Cancer Studies
- Advanced Drug Delivery Systems
- Esophageal Cancer Research and Treatment
- Advanced Radiotherapy Techniques
- Tea Polyphenols and Effects
- Digital Media and Visual Art
- Brain Metastases and Treatment
Shanxi Medical University
2015-2025
Taiyuan Heavy Industry (China)
2024
Jilin University
2023
Chinese Academy of Medical Sciences & Peking Union Medical College
2023
Shanxi Provincial Cancer Hospital
2011-2022
Cancer Hospital of Chinese Academy of Medical Sciences
2022
Qingdao University
2020
Shaanxi Xueqian Normal University
2008
First Hospital of Shanxi Medical University
2008
Accurate prediction of treatment response to neoadjuvant chemotherapy (NACT) in individual patients with locally advanced gastric cancer (LAGC) is essential for personalized medicine. We aimed develop and validate a deep learning radiomics nomogram (DLRN) based on pretreatment contrast-enhanced computed tomography (CT) images clinical features predict the NACT LAGC.719 LAGC were retrospectively recruited from four Chinese hospitals between Dec 1st, 2014 Nov 30th, 2020. The training cohort...
Purpose To develop a Weakly supervISed model DevelOpment fraMework (WISDOM) to construct lymph node (LN) diagnosis for patients with rectal cancer (RC) that uses preoperative MRI data coupled postoperative patient-level pathologic information. Materials and Methods In this retrospective study, the WISDOM was built using (T2-weighted diffusion-weighted imaging) information (the number of postoperatively confirmed metastatic LNs resected LNs) based on RC between January 2016 November 2017. The...
Abstract Background The biological phenotype of tumours evolves during neoadjuvant chemotherapy (NAC). Accurate prediction pathological complete response (pCR) to NAC in the early-stage or posttreatment can optimize treatment strategies improve breast-conserving rate. This study aimed develop and validate an autosegmentation-based serial ultrasonography assessment system (SUAS) that incorporated ultrasonographic features throughout breast cancer predict pCR. Methods A total 801 patients with...
To investigate the feasibility of using Spectral CT imaging with low contrast medium in abdominal angiography (CTA). 70 consecutive patients (40 men, 42.6 ± 20.4 years; 30 women, 46.7 18.8 years) suspected focal lesions were referred to CTA exam. They randomly assigned into two groups. Group A: 35 underwent conventional scan Tube voltage 120 kVp, automatic current modulation a Noise Index 12, ASIR 30%, and injected Iohexol (350 mgI/ml). B: Imaging, 600 mA, Iodixanol (270 The optimal...
To explore the potential use of CDK inhibitors in pancreatic ductal adenocarcinoma (PDAC) therapy, a series novel 2-((4-sulfamoylphenyl)amino)-pyrrolo[2,3-d]pyrimidine derivatives was designed, synthesised, and investigated for inhibition on both kinase activity cellular proliferation cancer. Most new sulphonamide-containing demonstrated strong inhibitory CDK9 obvious anti-proliferative cell culture. Moreover, two compounds suppressed multiple human cancer lines. The most potent compound 2g...
Background Although histological examination is the standard method for assessing genetic status, development of a noninvasive method, which can display heterogeneity whole tumor to supplement genotype analysis, might be important personalized treatment strategies. Purpose To evaluate potential role diffusion kurtosis imaging (DKI)‐derived parameters using histogram analysis derived from whole‐tumor volumes prediction status KRAS mutations in patients with rectal adenocarcinoma. Study Type...
Although dynamics and uses of modified nanoparticles (NPs) as orally administered macromolecular drugs have been researched for many years, measures molecule stability aspects related to important transport-related mechanisms which assessed in vivo remain relatively under characterized. Thus, our aim was develop a novel type oral-based delivery system insulin overcome barriers studying the stability, transport mechanisms, efficacy system.NPs we developed tested were composed (INS),...
Background: Tumor-stroma interactions, as indicated by tumor-stroma ratio (TSR), offer valuable prognostic stratification information. Current histological assessment of TSR is limited tissue accessibility and spatial heterogeneity. We aimed to develop a multitask deep learning (MDL) model noninvasively predict prognosis in colorectal cancer (CRC). Materials Methods: In this retrospective study including 2268 patients with resected CRC recruited from four centers, we developed an MDL using...
Abstract To evaluate the role of conventional contrast-enhanced CT (CECT) imaging and dual-energy spectral (DECT) perfusion in differentiating WHO histological subtypes thymic epithelial tumours (TETs). Eighty-eight patients with TETs who underwent DECT scans (n = 51) enhancement 37) using a GE Discovery CT750 HD scanner were enrolled this study. The mean maximal range (mean CEmax) parameters lesions analysed. Among six (Type A, AB, B1, B2, B3 thymoma carcinoma), CEmax values most parameter...
Abstract Background To validate a contrast-enhanced CT (CECT)-based radiomics model (RM) for differentiating various risk subgroups of thymic epithelial tumors (TETs). Methods A retrospective study was performed on 164 patients with TETs who underwent CECT scans before treatment. total 130 (approximately 79%, from 2012 to 2018) were designated as the training set, and 34 21%, 2019 2021) testing set. The analysis variance least absolute shrinkage selection operator algorithm methods used...
The correlation of m6A-related lncRNAs with the prognosis and immune microenvironment cervical cancer is not yet clear. In this study, we identified 7 prognostic by Pearson univariate Cox regression analyses based on TCGA-cervical dataset. Then, patients were divided into two clusters consensus clustering lncRNA expression. Cluster 1 was characterized survival stage disadvantage, enrichment immunosuppressive carcinogenic activation pathways. Besides, cluster had higher factor TGFbeta lower...
The accumulation of cross-β-sheet amyloid fibrils is a hallmark the neurodegenerative process Alzheimer's disease (AD). Although it has been reported that green tea substances such as epicatechin (EC), epicatechin-3-gallate (ECG), epigallocatechin (EGC) and epigallocatechin-3-gallate (EGCG) could alleviate symptoms AD other diseases, pharmacological mechanism remains largely unexplored. This study aimed to reveal underlying EC, ECG, EGC EGCG in using computer-aided screening strategy. Our...