A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
An updated model for predicting side-specific extraprostatic extension in the era of MRI-targeted biopsy
Tekijät: Martini A, Wever L, Soeterik TFW, Rakauskas A, Fankhauser CD, Grogg JB, Checcucci E, Amparore D, Haiquel L, Rodriguez-Sanchez L, Ploussard G, Qiang P, Affentranger A, Marquis A, Marra G, Ettala O, Zattoni F, Falagario UG, De Angelis M, Kesch C, Apfelbeck M, Al-Hammouri T, Kretschmer A, Kasivisvanathan V, Preisser F, Lefebvre E, Olivier J, Radtke JP, Carrieri G, Moro FD, Boström P, Jambor I, Gontero P, Chiu PK, John H, Macek P, Porpiglia F, Hermanns T, van den Bergh RCN, van Basten JA, Gandaglia G, Valerio M; Young Academic Urologists working group on Prostate Cancer of the European Association of Urology
Kustantaja: Springer Nature
Julkaisuvuosi: 2024
Journal: Prostate Cancer and Prostatic Diseases
Tietokannassa oleva lehden nimi: Prostate cancer and prostatic diseases
Lehden akronyymi: Prostate Cancer Prostatic Dis
Vuosikerta: 27
Numero: 3
Aloitussivu: 520
Lopetussivu: 524
ISSN: 1365-7852
eISSN: 1476-5608
DOI: https://doi.org/10.1038/s41391-023-00776-x
Verkko-osoite: https://www.nature.com/articles/s41391-023-00776-x
Rinnakkaistallenteen osoite: https://discovery.ucl.ac.uk/10189215/2/Kasivisvanathan_Manuscript%20accepted.pdf
Purpose: Accurate prediction of extraprostatic extension (EPE) is pivotal for surgical planning. Herein, we aimed to provide an updated model for predicting EPE among patients diagnosed with MRI-targeted biopsy.
Materials and methods: We analyzed a multi-institutional dataset of men with clinically localized prostate cancer diagnosed by MRI-targeted biopsy and subsequently underwent prostatectomy. To develop a side-specific predictive model, we considered the prostatic lobes separately. A multivariable logistic regression analysis was fitted to predict side-specific EPE. The decision curve analysis was used to evaluate the net clinical benefit. Finally, a regression tree was employed to identify three risk categories to assist urologists in selecting candidates for nerve-sparing, incremental nerve sparing and non-nerve-sparing surgery.
Results: Overall, data from 3169 hemi-prostates were considered, after the exclusion of prostatic lobes with no biopsy-documented tumor. EPE was present on final pathology in 1,094 (34%) cases. Among these, MRI was able to predict EPE correctly in 568 (52%) cases. A model including PSA, maximum diameter of the index lesion, presence of EPE on MRI, highest ISUP grade in the ipsilateral hemi-prostate, and percentage of positive cores in the ipsilateral hemi-prostate achieved an AUC of 81% after internal validation. Overall, 566, 577, and 2,026 observations fell in the low-, intermediate- and high-risk groups for EPE, as identified by the regression tree. The EPE rate across the groups was: 5.1%, 14.9%, and 48% for the low-, intermediate- and high-risk group, respectively.
Conclusion: In this study we present an update of the first side-specific MRI-based nomogram for the prediction of extraprostatic extension together with updated risk categories to help clinicians in deciding on the best approach to nerve-preservation.
