Magnetic Resonance Elastography Combined With PI‐RADS v2.1 for the Identification of Clinically Significant Prostate Cancer

Background Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI‐RADS v2.1). Objectives To investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI‐RA...

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Published inJournal of magnetic resonance imaging Vol. 61; no. 5; pp. 2248 - 2257
Main Authors Chen, Jie, Chen, Yuntian, Chen, Guoyong, Deng, Liping, Yuan, Yuan, Tang, Hehan, Zhang, Zhen, Chen, Tingyu, Zeng, Hao, Yuan, Enyu, Yin, Meng, Chen, Jun, Song, Bin, Yao, Jin
Format Journal Article
LanguageEnglish
Published Hoboken, USA John Wiley & Sons, Inc 01.05.2025
Wiley Subscription Services, Inc
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Summary:Background Multiparametric MRI may cause overdiagnosis of clinically significant prostate cancer (csPCa) with the Prostate Imaging Reporting and Data System version 2.1 (PI‐RADS v2.1). Objectives To investigate the diagnostic performance of stiffness as a standalone and complementary marker to PI‐RADS v2.1 for diagnosing csPCa. Study Type Prospective. Subjects One hundred forty‐seven participants with pathologically confirmed prostate lesions (≥1 cm), including 71 with csPCa. Field Strength/Sequence T1‐weighted fast spin‐echo, T2‐weighted fast spin‐echo, single‐shot echo‐planar diffusion‐weighted imaging, fast 3D gradient‐echo T1‐weighted dynamic contrast‐enhanced imaging, and 3D single‐shot spin‐echo based echo‐planar MR elastography at 3.0 T. Assessment The PI‐RADS v2.1 score was assessed by three radiologists independently. Lesion shear stiffness (SS) values at 60 Hz and 90 Hz were measured. A modified PI‐RADS integrating stiffness with PI‐RADS v2.1 was developed. Diagnostic performance for csPCa was compared between stiffness, PI‐RADS v2.1 and the modified PI‐RADS. Statistical Test Spearman's correlation, Fleiss κ and intraclass correlation, Pearson correlation, one‐way analysis of variance, area under the receiver operating characteristic curve (AUC), and the Delong test. Significance level was P < 0.05. Results In the peripheral zone, csPCa (N = 35) had significantly higher SS than non‐csPCa at 60 Hz (3.22 ± 0.66 kPa vs. 2.56 ± 0.56 kPa) and at 90 Hz (5.64 ± 1.30 kPa vs. 4.48 ± 0.84 kPa). PI‐RADS v2.1 showed 100% sensitivity, 58% specificity, and 0.79 AUC for detecting csPCa. SS achieved 97% sensitivity, 52% specificity, and 0.80 AUC at 60 Hz, while SS had 63% sensitivity, 87% specificity, and 0.78 AUC at 90 Hz. The modified PI‐RADS, combing SS at 60 Hz with PI‐RADS v2.1, resulted in a significantly increased AUC (0.86) compared to that of PI‐RADS v2.1, with a sensitivity of 97% and specificity of 75%. Data Conclusion Stiffness can help identifying csPCa in the peripheral zone. Combining stiffness with the PI‐RADS v2.1 improved the diagnostic accuracy and specificity for csPCa. Evidence Level 1 Technical Efficacy Stage 2
Bibliography:Jie Chen and Yuntian Chen contributed equally to this work.
Bin Song and Jin Yao are senior authors of this work.
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These authors contributed equally to this work.
These authors are senior authors of this work.
ISSN:1053-1807
1522-2586
1522-2586
DOI:10.1002/jmri.29653