Volumetric apparent diffusion coefficient histogram analysis for determining the degree of differentiation of periampullary carcinomas

Background/Aim: The classification of periampullary adenocarcinomas into pancreatobiliary-type adenocarcinoma and intestinal-type (PPAC IPAC, respectively) has gained significant acceptance in the medical community. A patient's prognosis is determined by degree differentiation these tumor types. objective present investigation was to assess efficacy volumetric apparent diffusion coefficient (ADC) histogram analysis assessing for two Methods: This retrospective cohort research evaluated 54 PPAC (45 well-differentiated nine poorly differentiated) 15 IPAC (11 four patients. Magnetic resonance imaging (1.5 T MRI) scans were used evaluate results. features ADC values computed incorporated several statistical measures, such as mean, minimum, median, maximum, percentiles addition skewness, kurtosis, variance. Results: In both patients, exhibited lower differentiated group when compared with group. However, changes between groups did not reach significance. Among had a larger kurtosis (P=0.048). calculated value area under curve (AUC) be 0.818. When threshold set at 0.123, specificity sensitivity observed 90% 75%, respectively. Conclusion: Our indicates that an effective indicator determine level differentiation. Analysis increased b can provide valuable insights help using noninvasive technique.