A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä
Prediction of biochemical recurrence in prostate cancer patients who underwent prostatectomy using routine clinical prostate multiparametric MRI and decipher genomic score
Tekijät: Jambor I, Falagario U, Ratnani P, Perez IM, Demir K, Merisaari H, Sobotka S, Haines GK, Martini A, Beksac AT, Lewis S, Pahikkala T, Wiklund P, Nair S, Tewari A
Kustantaja: WILEY
Kustannuspaikka: HOBOKEN
Julkaisuvuosi: 2019
Journal: Journal of Magnetic Resonance Imaging
Tietokannassa oleva lehden nimi: JOURNAL OF MAGNETIC RESONANCE IMAGING
Lehden akronyymi: J MAGN RESON IMAGING
Vuosikerta: 51
Aloitussivu: 1075
Lopetussivu: 1085
Sivujen määrä: 11
ISSN: 1053-1807
eISSN: 1053-1807
DOI: https://doi.org/10.1002/jmri.26928
Background Biochemical recurrence (BCR) affects a significant proportion of patients who undergo robotic-assisted laparoscopic prostatectomy (RALP). Purpose To evaluate the performance of a routine clinical prostate multiparametric magnetic resonance imaging (mpMRI) and Decipher genomic classifier score for prediction of biochemical recurrence in patients who underwent RALP. Study Type Retrospective cohort study. Subjects Ninety-one patients who underwent RALP performed by a single surgeon, had mpMRI before RALP, Decipher taken from RALP samples, and prostate specific antigen (PSA) follow-up for >3 years or BCR within 3 years, defined as PSA >0.2 mg/ml. Field Strength/Sequence mpMRI was performed at 27 different institutions using 1.5T (n = 10) or 3T scanners and included T(2)w, diffusion-weighted imaging (DWI), or dynamic contrast-enhanced (DCE) MRI. Assessment All mpMRI studies were reported by one reader using Prostate Imaging Reporting and Data System v. 2.1 (PI-RADsv2.1) without knowledge of other findings. Eighteen (20%) randomly selected cases were re-reported by reader B to evaluate interreader variability. Statistical Tests Univariate and multivariate analysis using greedy feature selection and tournament leave-pair-out cross-validation (TLPOCV) were used to evaluate the performance of various variables for prediction of BCR, which included clinical (three), systematic biopsy (three), surgical (six: RALP Gleason Grade Group [GGG], extracapsular extension, seminal vesicle invasion, intraoperative surgical margins [PSM], final PSM, pTNM), Decipher (two: Decipher score, Decipher risk category), and mpMRI (eight: prostate volume, PSA density, PI-RADv2.1 score, MRI largest lesion size, summed MRI lesions' volume and relative volume [MRI-lesion-percentage], mpMRI ECE, mpMRI seminal vesicle invasion [SVI]) variables. The evaluation metric was the area under the curve (AUC). Results Forty-eight (53%) patients developed BCR. The best-performing individual features with TLPOCV AUC of 0.73 (95% confidence interval [CI] 0.64-0.82) were RALP GGG, MRI-lesion-percentage followed by biopsy GGG (0.72, 0.62-0.82), and Decipher score (0.71, 0.60-0.82). The best performance was achieved by feature selection of Decipher+Surgery and MRI + Surgery variables with TLPOCV AUC of 0.82 and 0.81, respectively Data Conclusion Relative lesion volume measured on a routine clinical mpMRI failed to outperform Decipher score in BCR prediction. Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2019.
