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A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
Prostate MRI and image Quality: It is time to take stock
Yue Lin1, Enis C Yilmaz1, Mason J Belue1
1Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD, United States.
Abstract:
Multiparametric magnetic resonance imaging (mpMRI) plays a vital role in prostate cancer diagnosis and management. With the increase in use of mpMRI, obtaining the best possible quality images has become a priority. The Prostate Imaging Reporting and Data System (PI-RADS) was introduced to standardize and optimize patient preparation, scanning techniques, and interpretation. However, the quality of the MRI sequences depends not only on the hardware/software and scanning parameters, but also on patient-related factors. Common patient-related factors include bowel peristalsis, rectal distension, and patient motion. There is currently no consensus regarding the best approaches to address these issues and improve the quality of mpMRI. New evidence has been accrued since the release of PI-RADS, and this review aims to explore the key strategies which aim to improve prostate MRI quality, such as imaging techniques, patient preparation methods, the new Prostate Imaging Quality (PI-QUAL) criteria, and artificial intelligence on prostate MRI quality.
Insights
Improving prostate cancer diagnosis requires high-quality multiparametric MRI (mpMRI). This review explores strategies like imaging techniques, patient preparation, PI-QUAL criteria, and AI to enhance mpMRI quality.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Multiparametric magnetic resonance imaging (mpMRI) is crucial for prostate cancer diagnosis and management.
- Standardization through the Prostate Imaging Reporting and Data System (PI-RADS) has improved interpretation.
- mpMRI quality is influenced by technical factors and patient-related issues like motion and rectal distension.
Purpose of the Study:
- To review current evidence and strategies for improving prostate MRI quality.
- To address the lack of consensus on optimizing mpMRI acquisition.
- To explore advancements beyond PI-RADS for enhanced image quality.
Main Methods:
- Review of recent literature and evidence on prostate MRI quality improvement.
- Analysis of patient preparation techniques and their impact on image acquisition.
- Evaluation of new criteria like Prostate Imaging Quality (PI-QUAL) and the role of artificial intelligence (AI).
Main Results:
- Patient-related factors significantly impact mpMRI quality.
- Standardized patient preparation and advanced imaging techniques can mitigate motion and distension artifacts.
- Emerging tools like PI-QUAL criteria and AI show promise in further optimizing image quality.
Conclusions:
- Optimizing prostate mpMRI quality requires a multi-faceted approach addressing both technical and patient-related factors.
- Continuous research and adoption of new strategies are essential for improving diagnostic accuracy in prostate cancer.
- The integration of PI-QUAL and AI represents the future direction for enhancing prostate MRI quality.
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