Texture analysis enhances diagnostic accuracy of lesions scored as 5 in the Prostate Imaging Reporting and Data System in magnetic resonance imaging
This study addresses a critical limitation of the current PI-RADS system, which exhibits a notable rate of false positives in high-risk PI-RADS 5 lesions. By demonstrating the added value of quantitative ADC texture analysis in this specific diagnostic challenge, this research offers a practical and potentially translatable approach to reducing the number of unnecessary biopsies for PI-RADS 5 lesions.
Authors
- Chen Jiang Wu (ORCID: https://orcid.org/0000-0003-1728-4380)
- Xiaodong Xie (ORCID: https://orcid.org/0000-0002-9088-8167)
- Yudong Zhang (ORCID: https://orcid.org/0000-0002-4870-1493)
- Ying Hou (ORCID: https://orcid.org/0000-0001-8356-567X)
- Yan Bai (ORCID: https://orcid.org/0000-0001-8779-6184)
- Hai Bin Shi
Institutions
- Inner Mongolia University of Science and Technology (CN)
- Baotou Medical College (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- Diagnostic and Interventional Radiology
- Published
- 2025-12-01
- DOI
- https://doi.org/10.4274/dir.2025.253640
- Primary Topic
- Prostate Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China