A5101446558- Radiomics and Machine Learning in Medical Imaging
- Lung Cancer Diagnosis and Treatment
- MRI in cancer diagnosis
- Advanced X-ray and CT Imaging
- Maternal and fetal healthcare
- Lung Cancer Treatments and Mutations
- Bone Tumor Diagnosis and Treatments
- Uterine Myomas and Treatments
- Thyroid Cancer Diagnosis and Treatment
- Nanoplatforms for cancer theranostics
- Endometrial and Cervical Cancer Treatments
- Advanced Neuroimaging Techniques and Applications
- Ectopic Pregnancy Diagnosis and Management
- Growth Hormone and Insulin-like Growth Factors
- Mitochondrial Function and Pathology
- Bone health and treatments
- Pancreatic and Hepatic Oncology Research
- Breast Cancer Treatment Studies
- COVID-19 diagnosis using AI
- Renal cell carcinoma treatment
- Ovarian cancer diagnosis and treatment
Wenzhou Medical University
2017-2025
Lishui University
2018-2025
Zhejiang University
2018-2023
China Pharmaceutical University
2020
Second Affiliated Hospital & Yuying Children's Hospital of Wenzhou Medical University
2017-2018
Abstract Background To explore the value of intratumoral and peritumoral radiomics in preoperative prediction anaplastic lymphoma kinase (ALK) mutation status survival patients with lung adenocarcinoma. Methods We retrospectively collected data from 505 eligible adenocarcinoma four hospitals (training external validation sets 1–3). The CT-based features were extracted separately gross tumor volume (GTV) GTV incorporating 3-, 6-, 9-, 12-, 15-mm regions (GPTV 3 , GPTV 6 9 12 15 ), screened...
Abstract Objectives Accurate axillary evaluation plays an important role in prognosis and treatment planning for breast cancer. This study aimed to develop validate a dynamic contrast-enhanced (DCE)-MRI-based radiomics model preoperative of lymph node (ALN) status early-stage Methods A total 410 patients with pathologically confirmed invasive cancer (training cohort, N = 286; validation 124) from June 2018 August 2022 were retrospectively recruited. Radiomics features derived the second...
Abstract Purpose To develop and validate a radiomic nomogram based on arterial phase of CT to discriminate the primary ovarian cancers (POCs) secondary (SOCs). Methods A total 110 cancer patients in our hospital were reviewed from January 2010 December 2018. Radiomic features extracted by Artificial Intelligence Kit software (A.K. software). The least absolute shrinkage selection operation regression (LASSO) was employed select construct radiomics score (Rad-score) for further signature...
// Xue Wang 1, * , Yu Zhao 2, Yumin Hu 1 Yongjin Zhou Xinjian Ye Kun Liu Guanghui Bai Anna Guo Meimei Du Lezhen Jiang Jinhong 3, and Zhihan Yan Department of Radiology, The Second Affiliated Hospital Yuying Children′s Wenzhou Medical University, 325027, China 2 Gynecology Obstetrics, 3 Imaging, Shanghai Mental Health Center, Jiao Tong University School Medicine, 200030, These authors contributed equally to this work Correspondence to: Yan, email: yanzhihanwz@163.com Wang,...
Background: Early diagnostic of COVID-19 pneumonia remains a dilemma. We aimed to investigate the importance early stage chest CT imaging features in diagnosis pneumonia. Methods: This retrospective investigation included 91 patients (49 males and 42 females, aged 18-87 years) confirmed with infection presented as images between January 21, 2020 February 10, 2020. The were evaluated. Findings: 66 (72.5%) had history exposure Wuhan or infected patient. most common symptoms fever (69/91,...
The treatment of malignant bone tumors (including primary and metastatic tumors) has always been a clinical challenge. purpose this study is to design bone-targeted nano-carrier with photothermal effect achieve chemo-photothermal therapy (CPT), which allows the minimal use agents chemical drugs target tumors. Alendronate modified hollow gold nanoparticles (HGNPs- ALN) were synthesized using mercapto polyethylene glycol carboxyl (SH-PEG 2000 -COOH) as connecting arm, fourier transform...