Keywords: Uterus, Cancer, Cervical Cancer;Time-dependent diffusion magnetic resonance imaging
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.
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