External validation of the Rotterdam prostate cancer risk calculator within a high-risk Dutch clinical cohort

被引:3
作者
Hagens, Marinus J. [1 ,2 ,3 ]
Stelwagen, Piter J. [1 ,4 ]
Veerman, Hans [1 ,2 ,3 ]
Rynja, Sybren P. [2 ,5 ]
Smeenge, Martijn [2 ,6 ]
van der Noort, Vincent [7 ]
Roeleveld, Ton A. [2 ,4 ]
van Kesteren, Jolien [1 ,2 ]
Remmers, Sebastiaan [8 ]
Roobol, Monique J. [8 ]
van Leeuwen, Pim J. [1 ,2 ]
van der Poel, Henk G. [1 ,2 ,3 ]
机构
[1] Antoni Van Leeuwenhoek Hosp NCI AVL, Netherlands Canc Inst, Dept Urol, Plesmanlaan 121, NL-1066 CX Amsterdam, Netherlands
[2] Prostate Canc Network Netherlands, Amsterdam, Netherlands
[3] Amsterdam Univ Med Ctr, Dept Urol, Locat VUmc, Amsterdam, Netherlands
[4] Noordwest Ziekenhuisgrp, Dept Urol, Alkmaar, Netherlands
[5] Spaarne Gasthuis, Dept Urol, Hoofddorp, Netherlands
[6] Hosp St Jansdal, Dept Urol, Harderwijk, Netherlands
[7] Antoni Van Leeuwenhoek Hosp NCI, Netherlands Canc Inst, Dept Stat, Amsterdam, Netherlands
[8] Univ Med Ctr Rotterdam, Erasmus MC Canc Inst, Dept Urol, Rotterdam, Netherlands
关键词
Prostate cancer; Prostate biopsies; MRI; Risk stratification; PATIENT SELECTION; PREDICTION; GUIDELINES; BIOPSY; MODELS;
D O I
10.1007/s00345-022-04185-y
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Purpose This study aims to externally validate the Rotterdam Prostate Cancer Risk Calculator (RPCRC)-3/4 and RPCRC-MRI within a Dutch clinical cohort. Methods Men subjected to prostate biopsies, between 2018 and 2021, due to a clinical suspicion of prostate cancer (PCa) were retrospectively included. The performance of the RPCRC-3/4 and RPCRC-MRI was analyzed in terms of discrimination, calibration and net benefit. In addition, the need for recalibration and adjustment of risk thresholds for referral was investigated. Clinically significant (cs) PCa was defined as Gleason score >= 3 + 4. Results A total of 1575 men were included in the analysis. PCa was diagnosed in 63.2% (996/1575) of men and csPCa in 41.7% (656/1575) of men. Use of the RPCRC-3/4 could have prevented 37.3% (587/1575) of all MRIs within this cohort, thereby missing 18.3% (120/656) of csPCa diagnoses. After recalibration and adjustment of risk thresholds to 20% for PCa and 10% for csPCa, use of the recalibrated RPCRC-3/4 could have prevented 15.1% (238/1575) of all MRIs, resulting in 5.3% (35/656) of csPCa diagnoses being missed. The performance of the RPCRC-MRI was good; use of this risk calculator could have prevented 10.7% (169/1575) of all biopsies, resulting in 1.2% (8/656) of csPCa diagnoses being missed. Conclusion The RPCRC-3/4 underestimates the probability of having csPCa within this Dutch clinical cohort, resulting in significant numbers of csPCa diagnoses being missed. For optimal performance of a risk calculator in a specific cohort, evaluation of its performance within the population under study is essential.
引用
收藏
页码:13 / 18
页数:6
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