Time-dependent diffusion MRI of soft tissue tumors: correlations with Ki-67 proliferation status

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 (vin), cell diameter (d), cellularity, and extracellular diffusivity (Dex). Apparent diffusion coefficient (ADC) values were calculated from diffusion-weighted imaging (DWI). Ki-67 was categorized into high (>20%) or low (≤20%) groups, and the area under the receiver operating characteristic (ROC) curve (AUC) was used to assess its effectiveness in differentiating between the high and low proliferation groups. These parameters were analyzed for their correlations with the Ki-67 index. 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 d, the AUC values of other parameters were greater than 0.7 (P