Prognosis prediction of uterine cervical cancer using changes in the histogram and texture features of apparent diffusion coefficient during definitive chemoradiotherapy.
Akiyo TakadaHajime YokotaMiho Watanabe NemotoTakuro HorikoshiKoji MatsumotoYuji HabuHirokazu UsuiKatsuhiro NasuMakio ShozuTakashi UnoPublished in: PloS one (2023)
The change rate in ADC kurtosis between the 1st and 2nd MRIs was the most reliable parameter, enabling us to predict prognosis early in the treatment course.