Computer-aided diagnosis prior to conventional interpretation of prostate mpMRI: an international multi-reader study

被引:67
作者
Greer, Matthew D. [1 ]
Lay, Nathan [2 ]
Shih, Joanna H. [3 ]
Barrett, Tristan [4 ]
Bittencourt, Leonardo Kayat [5 ,6 ]
Borofsky, Samuel [7 ]
Kabakus, Ismail [8 ]
Law, Yan Mee [9 ]
Marko, Jamie [10 ]
Shebel, Haytham [11 ]
Mertan, Francesca V. [1 ]
Merino, Maria J. [12 ]
Wood, Bradford J. [13 ,14 ]
Pinto, Peter A. [15 ]
Summers, Ronald M. [2 ]
Choyke, Peter L. [1 ]
Turkbey, Baris [1 ]
机构
[1] NCI, Mol Imaging Program, NIH, 10 Ctr Dr,Room B3B85, Bethesda, MD 20892 USA
[2] NIH, Imaging Biomarkers & Comp Aided Diag Lab, Radiol & Imaging Sci, Clin Ctr, Bldg 10, Bethesda, MD 20892 USA
[3] NCI, Biometr Res Program, NIH, Bethesda, MD 20892 USA
[4] Univ Cambridge, Sch Med, Dept Radiol, Cambridge, England
[5] Univ Fed Fluminense, Rio De Janeiro, RJ, Brazil
[6] CDPI Clin DASA, Rio De Janeiro, RJ, Brazil
[7] George Washington Univ Hosp, Washington, DC USA
[8] Hacettepe Univ, Ankara, Turkey
[9] Singapore Gen Hosp, Singapore, Singapore
[10] NIH, Radiol & Imaging Sci Dept, Clin Ctr, Bldg 10, Bethesda, MD 20892 USA
[11] Mansoura Univ, Nephrol Ctr, Dept Radiol, Mansoura 35516, Egypt
[12] NCI, Pathol Lab, NIH, Bethesda, MD 20892 USA
[13] NCI, Ctr Intervent Oncol, Bethesda, MD 20892 USA
[14] NIH, Radiol Imaging Sci, Clin Ctr, Bldg 10, Bethesda, MD 20892 USA
[15] NCI, Urol Oncol Branch, NIH, Bethesda, MD 20892 USA
关键词
Prostate cancer; MRI scans; Image interpretation; computer assisted; Computer-assisted diagnosis; MULTIPARAMETRIC MRI; CANCER; BIOPSY; SYSTEM; INDEX;
D O I
10.1007/s00330-018-5374-6
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
ObjectivesTo evaluate if computer-aided diagnosis (CAD) prior to prostate multi-parametric MRI (mpMRI) can improve sensitivity and agreement between radiologists.MethodsNine 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 zoneperipheral (PZ) and transition (TZ).ResultsIndex 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).ConclusionsCAD-assisted mpMRI improved sensitivity and agreement, but decreased specificity, between radiologists of varying experience.Key Points center dot Computer-aided diagnosis (CAD) assists clinicians in detecting prostate cancer on MRI.center dot CAD assistance improves agreement between radiologists in detecting prostate cancer lesions.center dot However, this CAD system induces more false positives, particularly for less-experienced clinicians and in the transition zone.center dot CAD assists radiologists in detecting cancer missed on MRI, suggesting a path for improved diagnostic confidence.
引用
收藏
页码:4407 / 4417
页数:11
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