Is it possible to model the risk of malignancy of focal abnormalities found at prostate multiparametric MRI?

Autor: Romain Boutier, Olivier Rouvière, Muriel Rabilloud, Benjamin Riche, Marc Colombel, N. Girouin, Albert Gelet, Florence Mège-Lechevallier, Matthieu Papillard
Přispěvatelé: Biostatistiques santé, Département biostatistiques et modélisation pour la santé et l'environnement [LBBE], Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Laboratoire de Biométrie et Biologie Evolutive - UMR 5558 (LBBE), Université de Lyon-Université de Lyon-Institut National de Recherche en Informatique et en Automatique (Inria)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)
Jazyk: angličtina
Rok vydání: 2012
Předmět:
Male
Pathology
medicine.medical_specialty
[SDV.OT]Life Sciences [q-bio]/Other [q-bio.OT]
Prostate biopsy
Risk of malignancy
Risk Assessment
Sensitivity and Specificity
030218 nuclear medicine & medical imaging
03 medical and health sciences
Prostate cancer
0302 clinical medicine
Prostate
Risk Factors
Image Interpretation
Computer-Assisted
medicine
Prevalence
Humans
Radiology
Nuclear Medicine and imaging
Computer Simulation
Neuroradiology
Proportional Hazards Models
Models
Statistical
medicine.diagnostic_test
business.industry
Prostatic Neoplasms
Reproducibility of Results
Interventional radiology
General Medicine
Middle Aged
medicine.disease
Magnetic Resonance Imaging
medicine.anatomical_structure
030220 oncology & carcinogenesis
Dynamic contrast-enhanced MRI
Radiology
France
business
Diffusion MRI
Zdroj: European Radiology
European Radiology, Springer Verlag, 2012, 22, pp.1149-1157
European Radiology, 2012, 22, pp.1149-1157
ISSN: 0938-7994
1432-1084
Popis: To evaluate whether focal abnormalities (FAs) depicted by prostate MRI could be characterised using simple semiological features.134 patients who underwent T2-weighted, diffusion-weighted and dynamic contrast-enhanced MRI at 1.5 T before prostate biopsy were prospectively included. FAs visible at MRI were characterised by their shape, the degree of signal abnormality (0 = normal to 3 = markedly abnormal) on individual MR sequences, and a subjective score (SS(1) = probably benign to SS(3) = probably malignant). FAs were then biopsied under US guidance.56/233 FAs were positive at biopsy. The subjective score significantly predicted biopsy results (P 0.01). As compared to SS(1) FAs, the odds ratios (OR) of malignancy of SS(2) and SS(3) FAs were 9.9 (1.8-55.9) and 163.8 (11.5-2331). Unlike FAs' shape, a simple combination of MR signal abnormalities (into "low-risk", "intermediate" and "high-risk" groups) significantly predicted biopsy results (P 0.008). As compared to "low risk" FAs, the OR of malignancy of "intermediate" and "high-risk" FAs were 4.5 (1.1-18.4) and 52.7 (6.8-407) in the overall population and 5.4 (1.1-27.2) and 118.2 (6.1-2301) in PZ.A simple combination of signal abnormalities of individual MR sequences can significantly stratify the risk of malignancy of FAs, holding promise of a more standardised interpretation of MRI by readers with varying experience.• Using multiparameter(mp)-MRI, experienced uroradiologists can stratify the malignancy risk of prostatic lesions • The shape of prostatic focal abnormalities in the peripheral zone does not help predicting malignancy. • A simple combination of findings at mp-MRI can help less-experienced radiologists.
Databáze: OpenAIRE
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