Evaluating the performance of clinical and radiological data in predicting prostate cancer in prostate imaging reporting and data system version 2.1 category 3 lesions of the peripheral and the transition zones

Purpose To define the value of clinical and radiological data, using multiparametric magnetic resonance imaging (mpMRI), to predict prostate cancer (PCa) in prostate imaging reporting and data system version 2.1 (PIRADSv2.1) 3 lesions of the peripheral and the transition zones (PZ and TZ). Methods T...

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Published in:International urology and nephrology Vol. 54; no. 2; pp. 263 - 271
Main Authors: Gaudiano, Caterina, Bianchi, Lorenzo, Corcioni, Beniamino, Giunchi, Francesca, Schiavina, Riccardo, Ciccarese, Federica, Braccischi, Lorenzo, Rustici, Arianna, Fiorentino, Michelangelo, Brunocilla, Eugenio, Golfieri, Rita
Format: Journal Article
Language:English
Published: Dordrecht Springer Netherlands 01.02.2022
Springer Nature B.V
Subjects:
Aged
Biopsy
Data Accuracy
Data Systems
Diffusion coefficient
Humans
Lesions
Magnetic resonance imaging
Male
Medicine
Medicine & Public Health
Middle Aged
Multiparametric Magnetic Resonance Imaging
Neoplasm Grading
Nephrology
Predictive Value of Tests
Prostate cancer
Prostate-specific antigen
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - pathology
Retrospective Studies
Tumors
Urology
Urology - Original Paper
Multiparametric magnetic resonance imaging
Prostate cancer
PIRADS version 2.1
PIRADS 3 lesions
ISSN:0301-1623, 1573-2584, 1573-2584
Online Access:Get full text
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Summary:Purpose To define the value of clinical and radiological data, using multiparametric magnetic resonance imaging (mpMRI), to predict prostate cancer (PCa) in prostate imaging reporting and data system version 2.1 (PIRADSv2.1) 3 lesions of the peripheral and the transition zones (PZ and TZ). Methods The mpMRI of patients with PIRADSv2.1 3 lesions who had undergone fusion targeted biopsy was reviewed. Morphological pattern, diffusion parameters and vascularisation were evaluated. The radiological/histopathological data of benign and malignant lesions, between the PZ and TZ were compared. Univariate and multivariate analyses were carried out to identify the clinical and radiological data capable of predicting PCa. Results One hundred and twenty-three lesions were assessed, 93 (76%) in the PZ and 30 (24%) in the TZ. Of these, 56 (46%) were PCa and 67 (54%) were benign. The majority of the PCas were Grade Group System (GGS) 1 (38%) and GGS 2 (39%); tumours having a GGS ≥ 3 were more frequently in the TZ ( p  = 0.02). Univariate analysis showed a significant correlation between PCa and prostate volume, prostate-specific antigen (PSA) density , lesion zone and the apparent diffusion coefficient . At multivariate logistic regression PSA density > 0.15 ng/ml/ml {Odds ratio [OR] 2.38; p  = 0.001} and lesion zone (i.e. TZ OR 7.55) were independent predictors of PCa (all p  ≤ 0.04). Conclusion In solitary PIRADSv2.1 3 lesions, the most important predictive factor was the location zone, with a much greater risk for TZ lesions.
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ISSN:0301-1623
1573-2584
1573-2584
DOI:10.1007/s11255-021-03071-7