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Abstract #2278

Risk Stratification of prostate imaging reporting and data system (PI-RADS 3) lesions based on mean ADC values.

Tejinder Kaur1, Yun Jiang2, Nicole Seiberlich2, Hero Hussain1, Shane Wells2, Juliana Ramirez1, Julian Neshewat1, and Vikas Gulani1
1University of Michigan, Ann Arbor, MI, United States, 2Radiology, University of Michigan, Ann Arbor, MI, United States

Synopsis

Keywords: Prostate, Prostate, Cancer

Motivation: PI-RADS 3 lesions have low cancer-positive rates, resulting in many unnecessary biopsies.

Goal(s): This study investigates whether quantitative ADC measurements improve the classification of PI-RADS 3 lesions as cancerous or non-cancerous.

Approach: Prostate MRI scans from 01/2017 to 10/2024 were analyzed. Of 1074 PI-RADS 3 lesions, final analysis included 152 PZ lesions and 75 TZ lesions.

Results: Final analysis showed significant differences in mADC in PZ (cut-off: 920×10⁻⁶ mm²/sec) and TZ (cut-off: 610 mm2/sec) and TZ PSA density (P <0.001, AUC: 0.723). Combined analysis of mADC values and PSA density gives an AUC of 0.81.

Impact: The results show that mean ADC values could help differentiate between cancers and non-cancers in PZ and TZ PI-RADS 3 lesions.

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