Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer
Guo-Wen Lin,1,2 Ding-Wei Ye,1,2 Hui-Xun Jia,2,3 Bo Dai,1,2 Hai-Liang Zhang,1,2 Yao Zhu,1,2 Guo-Hai Shi,1,2 Chun-Guang Ma1,2 1Department of Urology, Fudan University Shanghai Cancer Center, 2Department of Oncology, Shanghai Medical College, 3Department of Clinical Statistics Center, Fudan...
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2015-04-01
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doaj-f5dd59c4ee6d45f895fe4289fb1256aa2020-11-25T01:50:32ZengDove Medical PressOncoTargets and Therapy1178-69302015-04-012015default71371921196Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancerLin GWYe DWJia HXDai BZhang HLZhu YShi GHMa CG Guo-Wen Lin,1,2 Ding-Wei Ye,1,2 Hui-Xun Jia,2,3 Bo Dai,1,2 Hai-Liang Zhang,1,2 Yao Zhu,1,2 Guo-Hai Shi,1,2 Chun-Guang Ma1,2 1Department of Urology, Fudan University Shanghai Cancer Center, 2Department of Oncology, Shanghai Medical College, 3Department of Clinical Statistics Center, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People’s Republic of China Abstract: The optimal time to perform bone scan to detect new metastasis during the castration-resistant prostate cancer (CRPC) stage remains undefined. This study attempted to identify predictors of progression of bone scan for CRPC, and use such information to develop a nomogram to predict the optimal time of examinations for bone scan. The analysis included 167 CRPC patients. Progression of bone lesion, as evaluated by bone scan, occurred in 64 (38.3%) cases. A logistic regression identified the following three risk factors: short time to prostate-specific antigen (PSA) progression, severe pain, and short PSA doubling time (PSADT) (P<0.05 for all). A nomogram model was constructed to predict progression of bone scan using time to PSA progression and severe pain as dichotomized variables and PSADT as a continuous variable. The result indicated that a predictive nomogram model showed a bootstrap-corrected concordance index of 0.762 and good calibration using the three readily available variables, and there were worse prognosis and higher progression rate of bone scan for patients with time to PSA progression <6.6 months, severe pain, and short PSADT (<2 months). In conclusion, short time to PSA progression, severe pain, and short PSADT are three risk factors of progression of bone scan for CRPC patients. The predictive nomogram model may be a valuable numerical assessment tool for patient consultation and treatment decision. Keywords: bone scan, castration-resistant prostate cancer, nomogram, predictor, progression http://www.dovepress.com/development-of-a-preliminary-nomogram-to-predict-progression-of-bone-s-peer-reviewed-article-OTT |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Lin GW Ye DW Jia HX Dai B Zhang HL Zhu Y Shi GH Ma CG |
spellingShingle |
Lin GW Ye DW Jia HX Dai B Zhang HL Zhu Y Shi GH Ma CG Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer OncoTargets and Therapy |
author_facet |
Lin GW Ye DW Jia HX Dai B Zhang HL Zhu Y Shi GH Ma CG |
author_sort |
Lin GW |
title |
Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer |
title_short |
Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer |
title_full |
Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer |
title_fullStr |
Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer |
title_full_unstemmed |
Development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer |
title_sort |
development of a preliminary nomogram to predict progression of bone scan for castration-resistant prostate cancer |
publisher |
Dove Medical Press |
series |
OncoTargets and Therapy |
issn |
1178-6930 |
publishDate |
2015-04-01 |
description |
Guo-Wen Lin,1,2 Ding-Wei Ye,1,2 Hui-Xun Jia,2,3 Bo Dai,1,2 Hai-Liang Zhang,1,2 Yao Zhu,1,2 Guo-Hai Shi,1,2 Chun-Guang Ma1,2 1Department of Urology, Fudan University Shanghai Cancer Center, 2Department of Oncology, Shanghai Medical College, 3Department of Clinical Statistics Center, Fudan University Shanghai Cancer Center, Fudan University, Shanghai, People’s Republic of China Abstract: The optimal time to perform bone scan to detect new metastasis during the castration-resistant prostate cancer (CRPC) stage remains undefined. This study attempted to identify predictors of progression of bone scan for CRPC, and use such information to develop a nomogram to predict the optimal time of examinations for bone scan. The analysis included 167 CRPC patients. Progression of bone lesion, as evaluated by bone scan, occurred in 64 (38.3%) cases. A logistic regression identified the following three risk factors: short time to prostate-specific antigen (PSA) progression, severe pain, and short PSA doubling time (PSADT) (P<0.05 for all). A nomogram model was constructed to predict progression of bone scan using time to PSA progression and severe pain as dichotomized variables and PSADT as a continuous variable. The result indicated that a predictive nomogram model showed a bootstrap-corrected concordance index of 0.762 and good calibration using the three readily available variables, and there were worse prognosis and higher progression rate of bone scan for patients with time to PSA progression <6.6 months, severe pain, and short PSADT (<2 months). In conclusion, short time to PSA progression, severe pain, and short PSADT are three risk factors of progression of bone scan for CRPC patients. The predictive nomogram model may be a valuable numerical assessment tool for patient consultation and treatment decision. Keywords: bone scan, castration-resistant prostate cancer, nomogram, predictor, progression |
url |
http://www.dovepress.com/development-of-a-preliminary-nomogram-to-predict-progression-of-bone-s-peer-reviewed-article-OTT |
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