A nomogram based on radiomic features from peri-prostatic adipose tissue for predicting bone metastasis in first-time diagnosed prostate cancer patients
Radscore, cN, and ALP were identified as independent BM predictors. The developed nomogram enables accurate risk stratification and personalized BM predictions for newly diagnosed PCa patients.
Authors
- Bohao Liu (ORCID: https://orcid.org/0000-0003-4119-2515)
- Xiao Zhao (ORCID: https://orcid.org/0000-0003-2485-9445)
- Huabin Su
- Chen Zou (ORCID: https://orcid.org/0009-0009-5418-1218)
- Lin Zhou (ORCID: https://orcid.org/0000-0001-7969-3839)
- Weian Zhu (ORCID: https://orcid.org/0000-0002-5765-3593)
- Xiaoyang Li (ORCID: https://orcid.org/0000-0002-4762-7105)
- Jialin Wu (ORCID: https://orcid.org/0000-0002-8877-8348)
- Yun Luo (ORCID: https://orcid.org/0000-0002-9515-0460)
- Qian Cai (ORCID: https://orcid.org/0000-0002-5700-3275)
Institutions
- Sun Yat-sen University (CN)
- Third Affiliated Hospital of Sun Yat-sen University (CN)
- Kashi University (CN)
Publication Details
- Journal
- Adipocyte
- Published
- 2025-06-19
- DOI
- https://doi.org/10.1080/21623945.2025.2517583
- Citations
- 2
- Primary Topic
- Prostate Cancer Treatment and Research
- Type
- article
- Field-Weighted Citation Impact
- 3.04
Funders
- National Natural Science Foundation of China