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Objective <p>To investigate the potential of the unidirectional cellular water efflux rate constant (<i>k</i><sub>io</sub>) from DCE-MRI data in prostate MR imaging.</p> Materials and methods <p>High-temporal-resolution prostate DCE-MRI data were modeled using both the fast-exchange-limit (FXL) Tofts’ model as well as the water-exchange-sensitized shutter-speed model (SSM). In the SSM, <i>k</i><sub>io</sub> was included as an additional fitting parameter. Lesion and normal-appearing (NA) prostate tissue region-of-interest (ROI) data were analyzed and categorized into FXL or non-FXL conditions based on results from the two models. A global upper limit of <i>k</i><sub>io</sub> detectable by prostate DCE-MRI with the SSM was presented.</p> Results <p>While many lesion voxels exhibited sensitivity to <i>k</i><sub>io</sub> with the SSM, a substantial portion remained in the FXL condition despite greater contrast agent extravasation than in NA tissue. The fraction of FXL voxels was higher in lesions than in NA tissue. Applying a global detectable <i>k</i><sub>io</sub> upper limit increased the difference between lesion and NA ROIs, improving lesion characterization.</p> Discussion <p>SSM-derived FXL and non-FXL contrasts may serve as novel imaging biomarkers for prostate cancer surveillance. Advances in MRI technology and more potent contrast agents are expected to enhance the accuracy of <i>k</i><sub>io</sub> quantification, potentially enabling its integration into clinical mpMRI.</p>

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Trans-cytolemmal water exchange in prostate manifest via DCE-MRI

  • 期刊论文

  • 发表日期：

    2026年4月15日

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  • Xin Li,
  • Ryan P. Kopp,
  • William D. Rooney,
  • Charles S. Springer Jr.,
  • Fergus V. Coakley,
  • Mark G. Garzotto

摘要

Objective

To investigate the potential of the unidirectional cellular water efflux rate constant (kio) from DCE-MRI data in prostate MR imaging.

Materials and methods

High-temporal-resolution prostate DCE-MRI data were modeled using both the fast-exchange-limit (FXL) Tofts’ model as well as the water-exchange-sensitized shutter-speed model (SSM). In the SSM, kio was included as an additional fitting parameter. Lesion and normal-appearing (NA) prostate tissue region-of-interest (ROI) data were analyzed and categorized into FXL or non-FXL conditions based on results from the two models. A global upper limit of kio detectable by prostate DCE-MRI with the SSM was presented.

Results

While many lesion voxels exhibited sensitivity to kio with the SSM, a substantial portion remained in the FXL condition despite greater contrast agent extravasation than in NA tissue. The fraction of FXL voxels was higher in lesions than in NA tissue. Applying a global detectable kio upper limit increased the difference between lesion and NA ROIs, improving lesion characterization.

Discussion

SSM-derived FXL and non-FXL contrasts may serve as novel imaging biomarkers for prostate cancer surveillance. Advances in MRI technology and more potent contrast agents are expected to enhance the accuracy of kio quantification, potentially enabling its integration into clinical mpMRI.