What type of study is this?

This is a Quantitative Study study.

September 17, 2025

Time-Dependent Diffusion MRI to Distinguish Malignant From Benign Bone Tumors

Key Points

The study finds that ADC values obtained from time-dependent diffusion MRI can effectively differentiate between malignant and benign bone tumors.
ROC curve analysis identified significant diagnostic performance with the use of ADC values from both OGSE and PGSE sequences.
Fifty patients were included in this analysis, employing an independent samples t-test for comparison of ADC values.
The findings highlight the potential clinical impact of utilizing time-dependent diffusion MRI for improved tumor characterization.

Abstract

Motivation: Clinical applications of time-dependent diffusion MRI (td-dMRI) for differentiating benign and malignant bone tumors are rarely explored. Goal(s): To investigate the utility of td-dMRI in distinguishing between malignant and benign bone tumors using ADC obtained from oscillating gradient spin-echo (OGSE) and pulsed gradient spin echo (PGSE) diffusion MRI sequences with different effective diffusion times. Approach: ADCOGSE and ADCPGSE values of fifty patients were compared using the independent samples t-test. ROC curve was used to assess the diagnostic performance in differentiation between benign and malignant lesions. Results: The ADC values obtained by td-dMRI show potential diagnostic values in differentiating benign and malignant bone tumors. Impact: The td-dMRI technology links the diffusion-time dependence of water diffusion in living cells to specific microstructural parameters. ADC values derived from td-dMRI at different gradient oscillation frequencies showed potential diagnostic value for clinical differentiation between benign and malignant bone tumors.

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