A5102728578- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Radiomics and Machine Learning in Medical Imaging
- Breast Cancer Treatment Studies
- Breast Lesions and Carcinomas
- HER2/EGFR in Cancer Research
- Urologic and reproductive health conditions
Fujian Medical University
2023-2025
Union Hospital
2023-2025
Putian University
2023
Abstract Objective To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted biparametric MRI (bpMRI) image features for predicting aggressiveness prostate cancer (PCa). Materials and methods A total 878 PCa patients from 4 hospitals were retrospectively collected, all whom had pathological results after radical prostatectomy (RP). pre-trained AI algorithm was used to select suspected lesions extract lesion model development. The study evaluated five prediction methods,...
An increasing number of patients with suspected clinically significant prostate cancer (csPCa) are undergoing multiparametric magnetic resonance imaging (mpMRI). The role artificial intelligence (AI) algorithms in interpreting mpMRI needs to be tested multicenter external data. This study aimed investigate the diagnostic efficacy an AI model detecting and localizing visible csPCa on a data set.
Sentinel lymph node (SLN) status is closely related to axillary metastasis in breast cancer. However, SLN biopsy has certain limitations due invasiveness and diagnostic efficiency. This study aimed develop a model predict the risk of early-stage cancer based on mammography, noninvasive, cost-effective, potential complementary way. Herein, 649 patients with (cT1-T2) who received were assigned training cohort (n = 487) validation 162). A prediction specific characteristics tumor mass...
<title>Abstract</title> Objective To evaluate the feasibility of utilizing artificial intelligence (AI)-predicted multiparametric MRI (mpMRI) image features for predicting aggressiveness prostate cancer (PCa). Materials and methods A total 878 PCa patients from 4 hospitals were retrospectively collected, all whom had pathological results after radical prostatectomy(RP).A pre-trained AI algorithm was used to select suspected lesions extract lesion model development. The study evaluated five...