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Updated: May 7, 2026

A Cognitive Fusion-guided Prostate Biopsy Using Multiparametric Magnetic Resonance Imaging and Transrectal Ultrasound
Published on: March 21, 2025
Prostate cancer localization by novel magnetic resonance dispersion imaging
Abstract:
Diagnosis and focal treatment of prostate cancer, the most prevalent form of cancer in men, is hampered by the limits of current clinical imaging. Angiogenesis imaging is a promising option for detection and localization of prostate cancer. It can be imaged by dynamic contrast-enhanced (DCE) MRI, assessing microvascular permeability as an indicator for angiogenesis. However, information on microvascular architecture changes associated with angiogenesis is not available. This paper presents a new model enabling the combined assessment of microvascular permeability and architecture. After the intravenous injection of a gadolinium-chelate bolus, time-concentration curves (TCCs) are measured by DCE-MRI at each voxel. According to the convective dispersion equation, the microvascular architecture is reflected in the dispersion coefficient. A solution of this equation is therefore proposed to represent the intravascular blood plasma compartment in the Tofts model. Fitting the resulting model to TCCs measured at each voxel leads to the simultaneous generation of a dispersion and a permeability map. Measurement of an arterial input function is no longer required. Preliminary validation was performed by spatial comparison with the histological results in seven patients referred for radical prostatectomy. Cancer localization by the obtained dispersion maps provided an area under the receiver operating characteristic curve equal to 0.91. None of the standard DCE-MRI parametric maps could outperform this result, motivating towards an extended validation of the method, also aimed at investigating other forms of cancer with pronounced angiogenic development.
Insights
This study introduces a new dynamic contrast-enhanced MRI model for prostate cancer imaging. It simultaneously assesses microvascular permeability and architecture, improving cancer localization compared to standard methods.
Area of Science:
- Medical Imaging
- Oncology
- Biophysics
Background:
- Prostate cancer diagnosis is limited by current imaging techniques.
- Dynamic contrast-enhanced (DCE) MRI assesses microvascular permeability for angiogenesis but lacks architectural information.
- Angiogenesis imaging is crucial for prostate cancer detection and localization.
Purpose of the Study:
- To present a novel DCE-MRI model for combined assessment of microvascular permeability and architecture in prostate cancer.
- To improve the detection and localization of prostate cancer through enhanced imaging.
Main Methods:
- A new model based on the convective dispersion equation was developed to analyze time-concentration curves (TCCs) from DCE-MRI.
- The model simultaneously generates dispersion (architecture) and permeability maps.
- No arterial input function measurement is required.
Main Results:
- The new model successfully generated simultaneous dispersion and permeability maps.
- Dispersion maps accurately localized prostate cancer, achieving an area under the receiver operating characteristic curve of 0.91.
- This performance surpassed standard DCE-MRI parametric maps.
Conclusions:
- The proposed DCE-MRI model offers a significant advancement in assessing both microvascular permeability and architecture.
- This method shows high potential for improved prostate cancer localization and warrants further validation for other angiogenic cancers.
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