Cancer Detection Rate and Abnormal Interpretation Rate of Prostate MRI in Patients with Low-grade Cancer.
Abnormal interpretation rate
Cancer detection rate
PI-RADS
Performance metric
Prostate cancer
Journal
Journal of the American College of Radiology : JACR
ISSN: 1558-349X
Titre abrégé: J Am Coll Radiol
Pays: United States
ID NLM: 101190326
Informations de publication
Date de publication:
12 Oct 2023
12 Oct 2023
Historique:
received:
18
05
2023
revised:
21
07
2023
accepted:
27
07
2023
medline:
15
10
2023
pubmed:
15
10
2023
entrez:
14
10
2023
Statut:
aheadofprint
Résumé
To evaluate the utility of cancer detection rate (CDR) and abnormal interpretation rate (AIR) in prostate MRI for patients with low-grade prostate cancer (PCa). This three-center retrospective study included patients who underwent prostate MRI from 2017 to 2021 with known low-grade PCa (Gleason score 6) without prior treatment. Patient-level highest PI-RADS score and pathological diagnosis within 1 year after MRI were used to evaluate the diagnostic performance of prostate MRI in detecting clinically significant PCa (csPCa: Gleason score ≥7). The metrics AIR, CDR, and CDR adjusted for pathological confirmation rate (aCDR) were calculated. Radiologist-level AIR-CDR plots were shown. Simulation AIR-CDR lines were created to assess the effects of different diagnostic performances of prostate MRI and the prevalence of csPCa. A total of 3207 exams were interpreted by 33 radiologists. Overall AIR, CDR, and aCDR at PI-RADS 3-5 (4-5) were 51.7% (36.5%), 22.1% (18.8%), and 30.7% (24.6%), respectively. Radiologist-level AIR and CDR at PI-RADS 3-5 (4-5) were in the 36.8-75.6% (21.9-57.5%) range and the 16.3-28.7% (10.9-26.5%) range. In the simulation, changing parameters of diagnostic performance or csPCa prevalence shifted the AIR-CDR line. We proposed CDR and AIR as performance metrics in prostate MRI and reported reference performance values in patients with known low-grade PCa. There was variability in radiologist-level AIR and CDR. Combined use of AIR and CDR could provide meaningful feedback for radiologists to improve their performance by showing relative performance to other radiologists.
Identifiants
pubmed: 37838189
pii: S1546-1440(23)00763-9
doi: 10.1016/j.jacr.2023.07.030
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023. Published by Elsevier Inc.