Potential of the signature index (S-index), a diffusion MRI Biomarker, to enhance diagnosis of clinically significant prostate cancer and decrease the rate of unnecessary biopsies

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Authors: Pornphan Wibulpolprasert, Denis Le Bihan, Pattarasuda Leelarujijaroen, Adun Kampaengtip, Kittinut Kijvikai, Suchin Worawichawong, Sith Phongkitkarun
Cited by: 2
References: 40

Abstract

OBJECTIVE: To evaluate the potential of the signature index (S-index) and the shifted apparent diffusion coefficient (sADC), both markers of non-Gaussian diffusion, for the diagnosis of prostate cancer. METHODS: ), was performed to calculate sADC and the S-index. The diagnostic performances of these biomarkers were assessed using ROC analyses and compared with PI-RADS. RESULTS: The global S-index and its 85th percentile values for clinically significant cancers (ISUP ≥ 2) in both the peripheral zone (PZ: 103.0 ± 30.2 and 139.4 ± 31.6) and the transition zone (TZ: 106.6 ± 32.3 and 142.2 ± 33.9) were significantly higher (p < 0.001) than those for all other lesions and normal tissue (PZ: 45.7 ± 27.9 and 71.1 ± 38.1; TZ: 67.6 ± 25.4 and 93.0 ± 30.5). In the PZ, the S-index (global and 85th percentile) and sADC showed higher diagnostic performance for classifying clinically significant cancers (AUC = 0.92 [0.87-0.95], 0.90 [0.86-0.94], and 0.92 [0.87-0.95], respectively) compared with PI-RADS alone (AUC = 0.70 [0.59-0.70]), whereas performance in the TZ was similar across markers (AUC ∼ 0.82). The reduction in unnecessary biopsies for PI-RADS > 3 lesions in the PZ was 22.4% with sADC and 21% with the S-index. In the TZ, the highest reduction rate was achieved with the S-index 85th percentile (9.5%). CONCLUSION: The S-index and other diffusion MRI biomarkers demonstrate strong performance for the classification of clinically significant prostate cancer and may represent an important step toward enhancing the clinical value of MRI for improving prostate cancer management.

Fields of Study & Subjects

Prostate Cancer Diagnosis and Treatment MRI in cancer diagnosis Advanced Neuroimaging Techniques and Applications

Publication details

Journal / source
European Journal of Radiology
Publisher
Elsevier BV
Volume
199
Pages
112788–112788
Publication date
14 March 2026
Language
EN