Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study.
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Authors
Greer, Matthew D
Lay, Nathan
Shih, Joanna H
Bittencourt, Leonardo Kayat
Borofsky, Samuel
Kabakus, Ismail
Law, Yan Mee
Marko, Jamie
Shebel, Haytham
Mertan, Francesca V
Merino, Maria J
Wood, Bradford J
Pinto, Peter A
Summers, Ronald M
Choyke, Peter L
Turkbey, Baris
Publication Date
2018-10Journal Title
Eur Radiol
ISSN
0938-7994
Publisher
Springer Science and Business Media LLC
Volume
28
Issue
10
Pages
4407-4417
Language
eng
Type
Article
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Greer, M. D., Lay, N., Shih, J. H., Barrett, T., Bittencourt, L. K., Borofsky, S., Kabakus, I., et al. (2018). Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study.. Eur Radiol, 28 (10), 4407-4417. https://doi.org/10.1007/s00330-018-5374-6
Abstract
OBJECTIVES: To evaluate if computer-aided diagnosis (CAD) prior to prostate multi-parametric MRI (mpMRI) can improve sensitivity and agreement between radiologists. METHODS: Nine radiologists (three each high, intermediate, low experience) from eight institutions participated. A total of 163 patients with 3-T mpMRI from 4/2012 to 6/2015 were included: 110 cancer patients with prostatectomy after mpMRI, 53 patients with no lesions on mpMRI and negative TRUS-guided biopsy. Readers were blinded to all outcomes and detected lesions per PI-RADSv2 on mpMRI. After 5 weeks, readers re-evaluated patients using CAD to detect lesions. Prostatectomy specimens registered to MRI were ground truth with index lesions defined on pathology. Sensitivity, specificity and agreement were calculated per patient, lesion level and zone-peripheral (PZ) and transition (TZ). RESULTS: Index lesion sensitivity was 78.2% for mpMRI alone and 86.3% for CAD-assisted mpMRI (p = 0.013). Sensitivity was comparable for TZ lesions (78.7% vs 78.1%; p = 0.929); CAD improved PZ lesion sensitivity (84% vs 94%; p = 0.003). Improved sensitivity came from lesions scored PI-RADS < 3 as index lesion sensitivity was comparable at PI-RADS ≥ 3 (77.6% vs 78.1%; p = 0.859). Per patient specificity was 57.1% for CAD and 70.4% for mpMRI (p = 0.003). CAD improved agreement between all readers (56.9% vs 71.8%; p < 0.001). CONCLUSIONS: CAD-assisted mpMRI improved sensitivity and agreement, but decreased specificity, between radiologists of varying experience. KEY POINTS: • Computer-aided diagnosis (CAD) assists clinicians in detecting prostate cancer on MRI. • CAD assistance improves agreement between radiologists in detecting prostate cancer lesions. • However, this CAD system induces more false positives, particularly for less-experienced clinicians and in the transition zone. • CAD assists radiologists in detecting cancer missed on MRI, suggesting a path for improved diagnostic confidence.
Keywords
Computer-assisted diagnosis, Image interpretation, MRI scans, Prostate cancer, computer assisted, Aged, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Prostatectomy, Prostatic Neoplasms, Retrospective Studies, Sensitivity and Specificity
Identifiers
External DOI: https://doi.org/10.1007/s00330-018-5374-6
This record's URL: https://www.repository.cam.ac.uk/handle/1810/284626
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