ArticleInternational journal of biological sciences2019
Establishing a prediction model for prostate cancer bone metastasis.
Article in International journal of biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- A new nomogram for the prediction of bone metastasis in patients with prostate cancer.The Journal of international medical research · 2021Trial
- Development and validation of a machine learning-based early warning model for bone metastasis in newly diagnosed prostate cancer.Frontiers in oncology · 2026Article
- Interpretable machine learning models for survival prediction in prostate cancer bone metastases.Scientific reports · 2025Article
- Predictive impact of T2-MRI radiomics model on initial diagnosis of bone metastasis in prostate cancer patients.BMC medical imaging · 2025Article
- Predicting prostate cancer metastasis in Ghana: Comparison of multiparametric and PSA models.PloS one · 2025Article
- Development and validation of a prostate cancer risk prediction model for the elevated PSA population.Frontiers in oncology · 2025Article
- A semi-automatic deep learning model based on biparametric MRI scanning strategy to predict bone metastases in newly diagnosed prostate cancer patients.Frontiers in oncology · 2024Article
- Measurements of peri-prostatic adipose tissue by MRI predict bone metastasis in patients with newly diagnosed prostate cancer.Frontiers in oncology · 2024Article
- Development and Validation of a Clinic Machine Learning Classifier for the Prediction of Risk Stratifications of Prostate Cancer Bone Metastasis Progression to Castration Resistance.International journal of general medicine · 2024Article
- Distinguishable Colorimetric Biosensor for Diagnosis of Prostate Cancer Bone Metastases.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Development and external validation of a novel prognostic nomogram for overall survival in prostate cancer patients with bone metastatic: a retrospective study of the SEER-based and a single Chinese center.Journal of cancer research and clinical oncology · 2023Article
- Construction and validation of a prognostic model based on 11 lymph node metastasis-related genes for overall survival in endometrial cancer.Cancer medicine · 2022Article
- Value of transrectal contrast-enhanced ultrasound with clinical indicators in the prediction of bone metastasis in prostate cancer.Quantitative imaging in medicine and surgery · 2022Article
- UBE2S as a novel ubiquitinated regulator of p16 and β-catenin to promote bone metastasis of prostate cancer.International journal of biological sciences · 2022Article
- Survival Analysis and a Novel Nomogram Model for Progression-Free Survival in Patients with Prostate Cancer.Journal of oncology · 2022Article
- Application of Machine Learning Techniques to Predict Bone Metastasis in Patients with Prostate Cancer.Cancer management and research · 2021Article
- Increased Serum Calcium Level Promotes the Risk of Lymph Node Metastasis in Endometrial Cancer.Cancer management and research · 2020Article
- Assessment of Serum Tumor Markers for Predicting Ocular Metastasis in Lung Adenocarcinoma: A Retrospective Study.Disease markers · 2020Article
- The prediction value of PI-RADS v2 score in high-grade Prostate Cancer: a multicenter retrospective study.International journal of medical sciences · 2020Article
- An elevated preoperative serum calcium level is a significant predictor for positive peritoneal cytology in endometrial carcinoma.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2019Article
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11 authors.
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Abstract
We collected clinical data from 308 prostate cancer (PCa) patients to investigate the clinical characteristics and independent risk factors of bone metastasis (BM) and to establish a prediction model for BM of PCa and determine the necessity of bone scans. Univariate and multivariate analyses were performed based on age, biopsy Gleason score (BGS), clinical tumor stage (cTx), total prostate specific antigen (tPSA), free prostate specific antigen (fPSA), fPSA/tPSA, prostate volume, alkaline phosphatase (ALP), serum calcium and serum phosphorus. Moreover, 80 of the 308 PCa patients had a PI-RADS v2 score and were analysed retrospectively. The univariate analysis showed that the BGS, cTx, tPSA, fPSA, prostate volume and ALP were significant. The multivariate logistic regression analysis showed significant differences among the BGS, cTx, tPSA and ALP. Four cases should be highly suspected with BM: (i) cTl-cT2, BGS ≤7, ALP >120 U/L and tPSA >90.64 ng/ml; (ii) cTl-cT2, BGS ≥8, and ALP >120 U/L; (iii) cT3-cT4, BGS ≤7, and ALP >120 U/L; and (iv) cT3-cT4 and BGS ≥8. After the PI-RADS v2 score was included in the model, the AUC of the prediction model rose from 0.884 (95% CI: 0.813-0.996) to 0.934 (95% CI: 0.883-0.986). This model may help determine the necessity of bone scans to diagnose BM for PCa patients.
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