Mathematical Model Analysis in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Posttreatment β and SER values derived from DCE-MRI may serve as predictive markers of future bone destruction in RA. These findings highlight the potential of DCE-MRI in guiding therapeutic decisions. Future studies with larger cohorts and automated analysis methods are warranted to validate these results and enhance clinical feasibility.

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Publication Details

Journal
JCR Journal of Clinical Rheumatology
Published
2025-05-29
DOI
https://doi.org/10.1097/rhu.0000000000002245
Citations
1
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
Field-Weighted Citation Impact
1.67
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article

Mathematical Model Analysis in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Naoko Mori, Yu Mori, Takuya Izumiyama, Ryuichi Kanabuchi et al.
1 citations
JCR Journal of Clinical Rheumatology
Rheumatoid Arthritis Research and Therapies
1.67
article

Mathematical Model Analysis in Dynamic Contrast-Enhanced Magnetic Resonance Imaging

Naoko Mori, Yu Mori, Takuya Izumiyama, Ryuichi Kanabuchi, Toshimi Aizawa, Hiroshi Hatakeyama
article en
1 citations

Abstract

Posttreatment β and SER values derived from DCE-MRI may serve as predictive markers of future bone destruction in RA. These findings highlight the potential of DCE-MRI in guiding therapeutic decisions. Future studies with larger cohorts and automated analysis methods are warranted to validate these results and enhance clinical feasibility.

JCR Journal of Clinical RheumatologyVol. 31(6)
Tohoku University (JP), Akita University (JP)
Openalex Percentile: Top 17%
Rheumatoid Arthritis Research and Therapies
1.67
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