Keywords: Cancer, MR Value, Time-dependent diffusion MRI, Histogram,Oscillating gradient spin-echo, Cervical Cancer
Motivation: Time dependent diffusion MRI coud be utilized to quantify cell size, cellulartity, and extracellular space, but its ability to distinguish histopathological parameters of cervical cancer remains unknown.
Goal(s): This study aims to evaluate the potential of time-dependent diffusion MRI with whole-tumor histogram analysis to non-invasively predict aggressive characteristics of cervical cancer
Approach: Using the IMPULSED model, we extracted diffusion parameters from time-dependent diffusion MRI. Subsequently, histogram features were extracted from these parameters and assessed their diagnostic accuracy.
Results: Our findings indicate that time-dependent diffusion MRI with whole-tumor histogram analysis can predict histologic differentiation degree, LVSI, LNM, and FIGO stage in CC.
Impact: This study highlights time-dependent diffusion MRI with whole-tumor histogram analysis as a valuable tool for non-invasively assessing cervical cancer aggressiveness, potentially improving treatment planning and patient outcomes.
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