Literature DB >> 31805808

Development and validation of a prediction model for identifying men with intermediate- or high-risk prostate cancer for whom bone imaging is unnecessary: a nation-wide population-based study.

Rebecka Arnsrud Godtman1, Marianne Månsson1, Ola Bratt1, David Robinsson2, Eva Johansson3, Pär Stattin3, Henrik Kjölhede1.   

Abstract

Objective: To develop and validate a nomogram that identifies men for whom bone scan is unnecessary.Material and methods: The study datasets were derived from the National Prostate Cancer Register (NPCR) of Sweden. All men in the NPCR ≤80 years of age who were diagnosed with intermediate- or high-risk prostate cancer and who had pretreatment bone imaging (99mTc MDP scintigraphy, plain x-ray, computed tomography, magnetic resonance imaging, and/or positron emission tomography fused with computed tomography) were included. Men diagnosed from 2015-2016 formed a development dataset and men diagnosed in 2017 formed a validation dataset. Outcome was metastasis on bone imaging as registered in NPCR. Multivariable logistic regression was used to develop a nomogram.
Results: In the development dataset 482/5084 men (10%) had bone metastasis, the corresponding percentage in the validation dataset was 282/2554 (11%). Gleason grade group, clinical T stage, and prostate-specific antigen were included in the final model. Discrimination and calibration were satisfactory in both the development (AUC 0.80, 95% CI 0.78-0.82) and validation dataset (AUC 0.80, 95% CI, 0.77-0.82). Compared with using the EAU guidelines' recommendation for selecting men for imaging, using the nomogram with a cut-off at 4% chance of bone metastasis, would have avoided imaging in 519/2068 men (25%) and miss bone metastasis in 10/519 (2%) men in the validation dataset.
Conclusion: By use of our nomogram, bone scans of men with prostate cancer can be avoided in a large proportion of men.

Entities:  

Keywords:  Bone metastasis; imaging; prostate cancer; staging

Year:  2019        PMID: 31805808     DOI: 10.1080/21681805.2019.1697358

Source DB:  PubMed          Journal:  Scand J Urol        ISSN: 2168-1805            Impact factor:   1.612


  3 in total

1.  Predictive Model of Cerebral Vasospasm in Subarachnoid Hemorrhage Based on Regression Equation.

Authors:  Jianzhong Li; Kaiguo Zhou; Lei Wang; Qiumei Cao
Journal:  Scanning       Date:  2022-04-26       Impact factor: 1.750

2.  Rates of Positive Abdominal Computed Tomography and Bone Scan Findings Among Men with Cambridge Prognostic Group 4 or 5 prostate cancer: A Nationwide Registry Study.

Authors:  Caroline Stenman; Emelie Abrahamsson; Mikael Redsäter; Vincent J Gnanapragasam; Ola Bratt
Journal:  Eur Urol Open Sci       Date:  2022-06-11

3.  Establishment and validation of a novel predictive model to quantify the risk of bone metastasis in patients with prostate cancer.

Authors:  Yu-Jie Lu; Wei-Ming Duan
Journal:  Transl Androl Urol       Date:  2021-01
  3 in total

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