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Review of the accuracy of multi-parametric MRI prostate in detecting prostate cancer within a local reporting service
Citation
Tsai, WC and Field, L and Stewart, S and Schultz, M, Review of the accuracy of multi-parametric MRI prostate in detecting prostate cancer within a local reporting service, Journal of Medical Imaging and Radiation Oncology, 64, (3) pp. 379-384. ISSN 1754-9477 (2020) [Refereed Article]
Copyright Statement
Copyright 2020 The Royal Australian and New Zealand College of Radiologists
DOI: doi:10.1111/1754-9485.13029
Abstract
Methods: This retrospective study included 192 patients between September 2016 and May 2019. All had mpMRI prostate examinations prior to biopsy or prostatectomy. Lesions on MRI were assigned a PIRADS score and comparison made with histopathology results. Gleason score ≥7 was considered as clinically significant prostate cancer (csCaP). We calculated accuracy, sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for detecting all CaP and csCaP.
Results: In the PIRADS 3 group, 32% were Gleason 6 and 32% were Gleason 7 lesions. In the PIRADS 4 group, 37% were Gleason 6 and 41% were Gleason ≥7. For PIRADS 5 lesions, 32% were Gleason 6 and 68% were Gleason ≥7. For all CaP, sensitivity was 84.7%, specificity 54.6%, PPV 82.3% and NPV 58.8%. For csCaP Gleason ≥7, PIRADS cut-off ≥3 had sensitivity, specificity, PPV and NPV of 95.7%, 39.3%, 47.5% and 94.1%, respectively, and cut-off ≥4 had sensitivity, specificity, PPV and NPV of 84.3%, 53.3%, 50.9% and 85.5%.
Conclusions: This study confirms PIRADS has high accuracy, sensitivity and NPV for detecting all CaP and csCaP. A high NPV may obviate need for biopsy in low-risk patients.
Item Details
Item Type: | Refereed Article |
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Keywords: | Gleason, multi-parametric MRI, PIRADS, prostate biopsy, prostate cancer |
Research Division: | Biomedical and Clinical Sciences |
Research Group: | Oncology and carcinogenesis |
Research Field: | Cancer diagnosis |
Objective Division: | Health |
Objective Group: | Clinical health |
Objective Field: | Diagnosis of human diseases and conditions |
UTAS Author: | Tsai, WC (Dr Wei-Che Tsai) |
UTAS Author: | Schultz, M (Dr Martin Schultz) |
ID Code: | 139150 |
Year Published: | 2020 |
Web of Science® Times Cited: | 4 |
Deposited By: | Menzies Institute for Medical Research |
Deposited On: | 2020-05-28 |
Last Modified: | 2022-08-29 |
Downloads: | 0 |
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