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Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference
Open accessAbstract
ObjectivesTo evaluate the recommendations for multiparametric prostate MRI (mp-MRI) interpretation introduced in the recently updated Prostate Imaging Reporting and Data System version 2 (PI-RADSv2), and investigate the impact of pathologic tumour volume on prostate cancer (PCa) detectability on mpMRI.MethodsThis was an institutional review board (IRB)-approved, retrospective study of 150 PCa patients who underwent mp-MRI before prostatectomy; 169 tumours ≥0.5-mL (any Gleason Score [GS]) and 37 tumours <0.5-mL (GS ≥4+3) identified on whole-mount pathology maps were located on mp-MRI consisting of T2-weighted imaging (T2WI), diffusion-weighted (DW)-MRI, and dynamic contrast-enhanced (DCE)-MRI. Corresponding PI-RADSv2 scores were assigned on each sequence and combined as recommended by PI-RADSv2. We calculated the proportion of PCa foci on whole-mount pathology correctly identified with PI-RADSv2 (dichotomized scores 1–3 vs. 4–5), stratified by pathologic tumour volume.ResultsPI-RADSv2 allowed correct identification of 118/125 (94 %; 95 %CI: 90–99 %) peripheral zone (PZ) and 42/44 (95 %; 95 %CI: 89–100 %) transition zone (TZ) tumours ≥0.5 mL, but only 7/27 (26 %; 95 %CI: 10–42 %) PZ and 2/10 (20 %; 95 %CI: 0–52 %) TZ tumours with a GS ≥4+3, but <0.5 mL. DCE-MRI aided detection of 4/125 PZ tumours ≥0.5 mL and 0/27 PZ tumours <0.5 mL.ConclusionsPI-RADSv2 correctly identified 94–95 % of PCa foci ≥0.5 mL, but was limited for the assessment of GS ≥4+3 tumours ≤0.5 mL. DCE-MRI offered limited added value to T2WI+DW-MRI.Key points• PI-RADSv2 correctly identified 95 % of PCa foci ≥0.5 mL• PI-RADSv2 was limited for the assessment of GS ≥4+3 tumours ≤0.5 mL• DCE-MRI offered limited added value to T2WI+DW-MRI
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Wibmer, A., Hricak, H., Gondo, T., Matsumoto, K., Veeraraghavan, H., Fehr, D., Zheng, J., Goldman, D., Moskowitz, C., Fine, S. W., et al. (2015) · European Radiology · doi:10.1007/s00330-015-3701-8 · Cited by 391
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Weakly-supervised convolutional neural networks for multimodal image registration
Hu, Y., Modat, M., Gibson, E., Li, W., Ghavami, N., Bonmati, E., Wang, G., Bandula, S., Moore, C. M., Emberton, M., et al. (2018) · Medical Image Analysis · doi:10.1016/j.media.2018.07.002 · Cited by 458
Westphalen, A. C., McCulloch, C. E., Anaokar, J. M., Arora, S., Barashi, N. S., Barentsz, J. O., Bathala, T. K., Bittencourt, L. K., Booker, M. T., Braxton, V. G., et al. (2020) · Radiology · doi:10.1148/radiol.2020190646 · Cited by 422
Metadata
- Authors
- Vargas, H. A., Hötker, A. M., Goldman, D. A., Moskowitz, C. S., Gondo, T., Matsumoto, K., Ehdaie, B., Woo, S., Fine, S. W., Reuter, V. E., Sala, E., & Hricak, H.
- Venue
- European Radiology
- Published
- 2015-09-22
- Volume
- 26
- Issue
- 6
- Pages
- 1606-1612
- ISSN
- 0938-7994 (ISSN-L)
- 1432-1084
- OpenAlex
- W2118681954
- Cited by
- 321
- References
- 1
- FWCI
- 39.96
- Type
- journal article
- Language
- en
- Open access
- green
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- The paper
- Vargas, H. A., Hötker, A. M., Goldman, D. A., Moskowitz, C. S., Gondo, T., Matsumoto, K., Ehdaie, B., Woo, S., Fine, S. W., Reuter, V. E., Sala, E., & Hricak, H. (2016). Updated prostate imaging reporting and data system (PIRADS v2) recommendations for the detection of clinically significant prostate cancer using multiparametric MRI: critical evaluation using whole-mount pathology as standard of reference. European Radiology. https://doi.org/10.1007/s00330-015-4015-6
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