ArticleQuantitative imaging in medicine and surgery2026
Time-dependent diffusion MRI of soft tissue tumors: correlations with Ki-67 proliferation status.
Article in Quantitative imaging in medicine and surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Feasibility of predicting breast cancer Ki-67 expression using histogram features derived from time-dependent diffusion magnetic resonance imaging.Quantitative imaging in medicine and surgery · 2026Article
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14 authors.
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Abstract
Background: Time-dependent diffusion magnetic resonance imaging (MRI) has the potential to help characterize tumor cell properties; however, its application in imaging soft tissue tumors is still unclear. The objective of this study was to assess whether quantitative parameters obtained from time-dependent diffusion MRI (td-dMRI) correlate with the Ki-67 proliferation status in soft tissue tumors. Methods: Participants with soft tissue tumors who underwent pretreatment td-dMRI between December 2023 and August 2024 were prospectively enrolled. The Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion (IMPULSED) model was utilized to fit td-dMRI signals. The microstructural parameters extracted included the intracellular volume fraction ( Results: The analysis included 31 participants with soft tissue tumors (mean age 52.1±19.9 years). Among all the parameters, the relative change in ADC (rcADC) of td-dMRI exhibited the highest AUC of 0.91, with 81.3% sensitivity and 86.7% specificity for differentiating low and high Ki-67 states. Except for parameter Conclusions: Several quantitative parameters derived from td-dMRI were correlated with Ki-67 proliferation status in soft tissue tumors. The rcADC was identified as the most robust predictor of Ki-67 status.
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