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Updated: Dec 25, 2025

Use of MRI-ultrasound Fusion to Achieve Targeted Prostate Biopsy
Published on: April 9, 2019
New prostate MRI techniques and sequences
Aritrick Chatterjee1,2, Carla Harmath1, Aytekin Oto3,4
1Department of Radiology, University of Chicago, 5841 South Maryland Avenue, Chicago, IL, 60637, USA.
Abstract:
Prostate MRI has seen increasing interest in recent years and has led to the development of new MRI techniques and sequences to improve prostate cancer (PCa) diagnosis which are reviewed in this article. Numerous studies have focused on improving image quality (segmented DWI) and faster acquisition (compressed sensing, k-t-SENSE, PROPELLER). An increasing number of studies have developed new quantitative and computer-aided diagnosis methods including artificial intelligence (PROSTATEx challenge) that mitigate the subjective nature of mpMRI interpretation. MR fingerprinting allows rapid, simultaneous generation of quantitative maps of multiple physical properties (T1, T2), where PCa are characterized by lower T1 and T2 values. New techniques like luminal water imaging (LWI), restriction spectrum imaging (RSI), VERDICT and hybrid multi-dimensional MRI (HM-MRI) have been developed for microstructure imaging, which provide information similar to histology. The distinct MR properties of tissue components and their change with the presence of cancer is used to diagnose prostate cancer. LWI is a T2-based imaging technique where long T2-component corresponding to luminal water is reduced in PCa. RSI and VERDICT are diffusion-based techniques where PCa is characterized by increased signal from intra-cellular restricted water and increased intracellular volume fraction, respectively, due to increased cellularity. VERDICT also reveal loss of extracellular-extravascular space in PCa due to loss of glandular structure. HM-MRI measures volumes of prostate tissue components, where PCa has reduced lumen and stromal and increased epithelium volume similar to results shown in histology. Similarly, molecular imaging using hyperpolarized 13C imaging has been utilized.
Insights
New prostate MRI techniques enhance cancer diagnosis by improving image quality and enabling quantitative analysis. Advanced methods like MR fingerprinting and microstructure imaging offer detailed insights, aiding in more accurate prostate cancer detection.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Prostate MRI is increasingly vital for cancer diagnosis.
- Advancements focus on improving image quality and acquisition speed.
- New quantitative and AI-driven methods address interpretation subjectivity.
Purpose of the Study:
- To review novel MRI techniques for prostate cancer (PCa) diagnosis.
- To highlight advancements in image quality, acquisition speed, and quantitative analysis.
- To explore new methods providing histological-like information.
Main Methods:
- Review of techniques including segmented DWI, compressed sensing, k-t-SENSE, and PROPELLER for image quality and speed.
- Exploration of quantitative methods like MR fingerprinting (T1, T2 mapping).
- Analysis of microstructure imaging techniques: luminal water imaging (LWI), restriction spectrum imaging (RSI), VERDICT, and hybrid multi-dimensional MRI (HM-MRI).
Main Results:
- PCa shows lower T1 and T2 values with MR fingerprinting.
- LWI reveals reduced T2 signal in PCa.
- RSI and VERDICT indicate increased intracellular water and volume fraction in PCa due to higher cellularity.
- VERDICT also shows loss of extracellular-extravascular space.
- HM-MRI quantifies tissue component volumes, with PCa exhibiting reduced lumen/stromal and increased epithelium volumes.
Conclusions:
- Novel MRI techniques significantly improve prostate cancer diagnosis.
- Quantitative and microstructure imaging provide detailed tissue characterization, correlating with histology.
- These advancements mitigate subjective interpretation and enhance diagnostic accuracy.
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