Development of a predictive model for preoperative bone metastasis risk assessment in prostate cancer through integration of semi-quantitative single-photon emission computed tomography/computed tomography indices with peripheral blood biomarkers

The established predictive model, incorporating (T-NT)/NT from semi-quantitative SPECT/CT, ALP, tPSA, cTx, and GS, exhibits strong predictive efficacy with high accuracy and stability, providing a reliable tool for preoperative assessment of BM risk in PCa patients.

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Publication Details

Journal
Journal of Research in Medical Sciences
Published
2025-12-01
DOI
https://doi.org/10.4103/jrms.jrms_325_24
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
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article

Development of a predictive model for preoperative bone metastasis risk assessment in prostate cancer through integration of semi-quantitative single-photon emission computed tomography/computed tomography indices with peripheral blood biomarkers

Yancui Li, Hao Pan, Ruiqiang Xin, Ran Guo et al.
Journal of Research in Medical Sciences
Prostate Cancer Treatment and Research
article

Development of a predictive model for preoperative bone metastasis risk assessment in prostate cancer through integration of semi-quantitative single-photon emission computed tomography/computed tomography indices with peripheral blood biomarkers

Yancui Li, Hao Pan, Ruiqiang Xin, Ran Guo, Lixin Sun, Bingye Zhang, Min Jia, Yuanyuan Yang
article en

Abstract

The established predictive model, incorporating (T-NT)/NT from semi-quantitative SPECT/CT, ALP, tPSA, cTx, and GS, exhibits strong predictive efficacy with high accuracy and stability, providing a reliable tool for preoperative assessment of BM risk in PCa patients.

Journal of Research in Medical SciencesVol. 30(1)
Beijing Luhe Hospital Affiliated to Capital Medical University (CN), Chongqing Medical University (CN)
Good health and well-being
Openalex Percentile: Top 27%
Prostate Cancer Treatment and Research
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