Cancer Detection Rate and Abnormal Interpretation Rate of Prostate MRI Performed for Clinical Suspicion of Prostate 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:
09 Oct 2023
Historique:
received: 18 05 2023
revised: 21 07 2023
accepted: 27 07 2023
medline: 12 10 2023
pubmed: 12 10 2023
entrez: 11 10 2023
Statut: aheadofprint

Résumé

To report cancer detection rate (CDR) and abnormal interpretation rate (AIR) in prostate MRI performed for clinical suspicion of prostate cancer (PCa). This retrospective single-institution, three-center study included patients who underwent MRI for clinical suspicion of PCa between 2017-2021. Patients with known PCa were excluded. Patient-level PI-RADS score was extracted from the radiology report. AIR was defined as number of abnormal MRI (PI-RADS score 3-5) / total number of MRI. CDR was defined as number of clinically significant PCa (csPCa: Gleason score ≥7) detected at abnormal MRI / total number of MRI. AIR, CDR, and CDR adjusted for pathology confirmation rate (aCDR) were calculated for each of 3 centers and pre-MRI biopsy status (biopsy naïve and previous negative biopsy). A total of 9686 exams (8643 unique patients) were included. AIR, CDR, and aCDR were 45.4%, 23.8%, and 27.6% for Center I; 47.2%, 20.0%, and 22.8% for Center II; and 42.3%, 27.2%, and 30.1% for Center III, respectively. Pathology confirmation rate ranged from 81.6-88.0% across three centers. AIR and CDR for biopsy naïve patients were 45.5-52.6% and 24.2-33.5% across three centers, respectively, while those for previous negative biopsy were 27.2-39.8% and 11.7-14.2% across three centers, respectively. We reported CDR and AIR in prostate MRI for clinical suspicion of PCa. CDR needs to be adjusted for pathology confirmation rate and pre-MRI biopsy status for inter-facility comparison.

Identifiants

pubmed: 37820833
pii: S1546-1440(23)00764-0
doi: 10.1016/j.jacr.2023.07.031
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2023. Published by Elsevier Inc.

Auteurs

Hiroki Nagayama (H)

Department of Radiology, Mayo Clinic, Rochester, MN, United States; Department of Radiology, Nagasaki University School of Medicine, Nagasaki, Japan.

Hirotsugu Nakai (H)

Department of Radiology, Mayo Clinic, Rochester, MN, United States.

Hiroaki Takahashi (H)

Department of Radiology, Mayo Clinic, Rochester, MN, United States.

Adam T Froemming (AT)

Department of Radiology, Mayo Clinic, Rochester, MN, United States.

Akira Kawashima (A)

Department of Radiology, Mayo Clinic, Scottsdale, AZ, United States.

Candice W Bolan (CW)

Department of Radiology, Mayo Clinic, Jacksonville, FL, United States.

Daniel A Adamo (DA)

Department of Radiology, Mayo Clinic, Rochester, MN, United States.

Rickey E Carter (RE)

Department of Quantitative Health Sciences, Mayo Clinic, Jacksonville, FL, United States.

Robert T Fazzio (RT)

Department of Radiology, Mayo Clinic, Rochester, MN, United States.

Shintaro Tsuji (S)

Mayo Clinic College of Medicine, Rochester, MN, United States.

Derek J Lomas (DJ)

Department of Urology, Mayo Clinic, Rochester, MN, United States.

Lance A Mynderse (LA)

Department of Urology, Mayo Clinic, Rochester, MN, United States.

Mitchell R Humphreys (MR)

Department of Urology, Mayo Clinic, Scottsdale, AZ, United States.

Chandler Dora (C)

Department of Urology, Mayo Clinic, Jacksonville, FL, United States.

Naoki Takahashi (N)

Department of Radiology, Mayo Clinic, Rochester, MN, United States. Electronic address: Takahashi.Naoki@mayo.edu.

Classifications MeSH