Time-dependent diffusion MRI for differentiating cervical cancer subtypes: impact of ROI delineation strategies on diagnostic performance
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The authors aimed to evaluate how different region-of-interest (ROI) delineation strategies affect the diagnostic performance of time-dependent diffusion MRI (TDD-MRI) in distinguishing between adenocarcinoma and squamous cell carcinoma in cervical cancer patients. Their findings indicate that the single-slice ROI strategy provided the best differentiation between the cancer subtypes, achieving an area under the receiver operating characteristic curve (AUC) of 0.917, suggesting its potential as an effective imaging biomarker for this purpose.
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