Multimodal fusion radiomic-immunologic scoring model: accurate identification of prostate cancer progression
Abstract Objectives This study aims to conceptualize, develop, and rigorously validate an innovative Radiomic-Immunologic Score (RDIS) model for accurately distinguishing prostate cancer (PCa) progression. Methods This single-center, retrospective cohort study analyzed PCa patients diagnosed between...
Saved in:
| Main Authors: | Zhonglin Zhang, Huan Liu, Xiling Gu, Yang Qiu, Jiangqing Ma, Guangyong Ai, Xiaojing He |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-08-01
|
| Series: | BMC Medical Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12880-025-01869-w |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A two‐stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach
by: Yuyan Zou, et al.
Published: (2025-03-01) -
Automatic Characterization of Prostate Suspect Lesions on T2-Weighted Image Acquisitions Using Texture Features and Machine-Learning Methods: A Pilot Study
by: Teodora Telecan, et al.
Published: (2025-01-01) -
Performance of GPT-4 for automated prostate biopsy decision-making based on mpMRI: a multi-center evidence study
by: Ming-Jun Shi, et al.
Published: (2025-07-01) -
Systematic and Targeted Prostate Biopsy: a Five-Year Experience in a High-Volume Center
by: Toni Zekulić, et al.
Published: (2024-01-01) -
Development and validation of a visual nomogram for predicting clinically significant prostate cancer in negative mpMRI using 68Ga-PSMA PET/CT
by: Wei Hu, et al.
Published: (2025-07-01)