The Application of Time Dependent Diffusion Magnetic Resonance Imaging in Clinical Staging and Pathological Differentiation of Cervical Cancer

Motivation: Time-dependent diffusion magnetic resonance imaging (TDD-MRI) remains underexplored in the clinical staging and pathological differentiation of cervical cancer. Goal(s): To investigate the application value of parameters derived from TDD-MRI (d, vin, Dex) in the clinical staging and pathological differentiation of cervical cancer. Approach: We collected traditional DWI and TDD-MRI data from cervical cancer patients, comparing the respective parameters' efficacy in clinical staging and pathological differentiation. Results: TDD-MRI outperformed ADC in staging cervical cancer, with combined parameters yielding an AUC of 0.90, sensitivity of 100%, and specificity of 70% for early-stage detection. Impact: This study confirms the advantages of TDD-MRI parameters in the clinical staging of cervical cancer, especially for discerning early from advanced stages, offering greater accuracy than traditional DWI-ADC.