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

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Magma (New York, N.Y.) 2026 MRI in cancer diagnosis
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PubMed DOI OpenAlex 마지막 보강 2026-04-30
OpenAlex 토픽 · MRI in cancer diagnosis Prostate Cancer Diagnosis and Treatment Lanthanide and Transition Metal Complexes

Li X, Kopp RP, Rooney WD, Springer CS, Coakley FV, Garzotto MG

📝 환자 설명용 한 줄

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

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BibTeX ↓ RIS ↓
APA Xin Li, Ryan Kopp, et al. (2026). Trans-cytolemmal water exchange in prostate manifest via DCE-MRI.. Magma (New York, N.Y.). https://doi.org/10.1007/s10334-026-01345-8
MLA Xin Li, et al.. "Trans-cytolemmal water exchange in prostate manifest via DCE-MRI.." Magma (New York, N.Y.), 2026.
PMID 41984327

Abstract

[OBJECTIVE] To investigate the potential of the unidirectional cellular water efflux rate constant (k) 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, k 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 k detectable by prostate DCE-MRI with the SSM was presented.

[RESULTS] While many lesion voxels exhibited sensitivity to k 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 k 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 k quantification, potentially enabling its integration into clinical mpMRI.

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