The impact of multiparametric MRI features to identify the presence of prevalent cribriform pattern in the peripheral zone tumors

Purpose To assess the role of the multiparametric Magnetic Resonance Imaging (mpMRI) in predicting the cribriform pattern in both the peripheral and transition zones (PZ and TZ) clinically significant prostate cancers (csPCas). Material and methods We retrospectively evaluated 150 patients who under...

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Veröffentlicht in:Radiologia medica Jg. 127; H. 2; S. 174 - 182
Hauptverfasser: Gaudiano, Caterina, Bianchi, Lorenzo, De Cinque, Antonio, Corcioni, Beniamino, Giunchi, Francesca, Schiavina, Riccardo, Fiorentino, Michelangelo, Brunocilla, Eugenio, Golfieri, Rita
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Milan Springer Milan 01.02.2022
Springer Nature B.V
Schlagworte:
Aged
Diagnostic Imaging in Oncology
Diagnostic Radiology
Diffusion coefficient
Evaluation
Humans
Imaging
Interventional Radiology
Lesions
Magnetic resonance imaging
Male
Medicine
Medicine & Public Health
Middle Aged
Multiparametric Magnetic Resonance Imaging - methods
Multivariate analysis
Neuroradiology
Parameter identification
Prostate - diagnostic imaging
Prostate - pathology
Prostate - surgery
Prostatectomy
Prostatic Neoplasms - diagnostic imaging
Prostatic Neoplasms - pathology
Prostatic Neoplasms - surgery
Radiology
Retrospective Studies
Tumors
Ultrasound
Multiparametric magnetic resonance imaging
PI-RADS version 2.1
Prostate cancer
Cribriform pattern
Gleason Pattern
ISSN:0033-8362, 1826-6983, 1826-6983
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Zusammenfassung:Purpose To assess the role of the multiparametric Magnetic Resonance Imaging (mpMRI) in predicting the cribriform pattern in both the peripheral and transition zones (PZ and TZ) clinically significant prostate cancers (csPCas). Material and methods We retrospectively evaluated 150 patients who underwent radical prostatectomy for csPCa and preoperative mpMRI. Patients with negative ( n  = 25) and positive ( n  = 125) mpMRI, stratified according to the presence of prevalent cribriform pattern (PCP, ≥ 50%) and non-PCP (< 50%) at specimen, were included. Difference between the two groups were evaluated. Multivariate logistic regression was used to identify predictors of PCP among mpMRI parameters. The receiver operating characteristic (ROC) analysis was performed to evaluate the area under the curve (AUC) of apparent diffusion coefficient (ADC) and ADC ratio in detecting lesions harboring PCP. Results Considering 135 positive lesions at the mpMRI, 30 (22.2%) and 105 (77.8%) harbored PCP and non-PCP PCa. The PCP lesions had more frequently nodular morphology (83.3% vs 62.9%; p  = 0.04) and significantly lower mean ADC value (0.87 ± 0.16 vs 0.95 ± 0.18; p  = 0.03) and ADC ratio (0.52 ± 0.09 vs 0.60 ± 0.14; p  = 0.003) when compared with non-PCP lesions. At univariate and multivariate analyses, mean ADC and ADC ratio resulted as independent predictors of the presence of the PCP of the PZ tumors(OR: 0.025; p  = 0.03 and OR: 0.001; p  = 0.004, respectively). At the ROC analysis, the AUC of mean ADC and ADC ratio to predict the presence of PCP in patients with PZ suspicious lesion at the mpMRI were 0.69 (95% CI 0.56–0.81P, p  = 0.003) and 0.72 (95% CI 0.62–0.82P, p  = 0.001), respectively. Conclusions The mpMRI may correctly identify PCP tumors of the PZ and the mean ADC value and ADC ratio can predict the presence of the cribriform pattern in the PCa.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:0033-8362
1826-6983
1826-6983
DOI:10.1007/s11547-021-01433-w