Habitat analysis based on magnetic resonance imaging for the prediction of prostate cancer: a dual-center study
The habitat analysis may serve as a means to noninvasively and preoperatively identifying PCa from BPH, even in the early stages of PCa.
Authors
- Hongmei Ying
- Yinquan Ye
- Jie Zou (ORCID: https://orcid.org/0009-0009-7459-4925)
- Lianggeng Gong (ORCID: https://orcid.org/0000-0001-7900-874X)
- Zijian Gong (ORCID: https://orcid.org/0000-0001-8516-3375)
- Zhixuan Liu (ORCID: https://orcid.org/0000-0002-8158-7127)
- Zijing Wu (ORCID: https://orcid.org/0009-0008-5887-6706)
- Xuan Xiang (ORCID: https://orcid.org/0000-0002-8841-5280)
- Yun Peng (ORCID: https://orcid.org/0000-0003-4992-4370)
- Kaiyao Huang
Institutions
- Nanchang University (CN)
- Jiangxi Provincial Academy of Medical Sciences (CN)
- Second Affiliated Hospital of Nanchang University (CN)
Publication Details
- Journal
- Quantitative Imaging in Medicine and Surgery
- Published
- 2025-08-21
- DOI
- https://doi.org/10.21037/qims-2025-223
- Citations
- 1
- Primary Topic
- Radiomics and Machine Learning in Medical Imaging
- Type
- article
- Field-Weighted Citation Impact
- 1.36