The DCE-MRI derived parameters demonstrated weak but significant correlations with tumor proliferation status, histological grades or microvascular density, respectively. This free-breathing DCE-MRI is technically feasible and offers a potential avenue toward non-invasive evaluation of HCC malignancy.
The aim of the study was to determine whether extrapancreatic inflammation on computed tomography (EPIC) is helpful in predicting organ failure in the early phase of acute pancreatitis (AP) as defined by the 2012 revised Atlanta classification.Patients (n = 208) who underwent abdominal computed tomography (CT) within 24 hours after AP onset and admission were retrospectively identified. Each patient's EPIC score, Balthazar score, bedside index of severity in acute pancreatitis (BISAP), and systemic inflammatory response syndrome (SIRS) score were obtained. Primary endpoints were organ failure occurrence and death. Scores were evaluated by receiver operator characteristic (ROC) curve and area under the curve (AUC) analysis.Median age was 45 years (range: 18–83 years). Forty-seven patients (22.6%) developed organ failure, and 5 patients (2.4%) developed infection and underwent surgery. Two patients died. The median EPIC score was 2 (range: 0–7). EPIC score accuracy (AUC = 0.724) in predicting organ failure was similar to that of BISAP (0.773) and SIRS (0.801) scores, whereas Balthazar scoring was not significant (P = .293). An EPIC score of 3 or greater had a sensitivity and specificity of 80.65% and 63.16%, respectively. EPIC scores correlated moderately with organ failure severity (Spearman r = 0.321) and number of failed organs (r = 0.343).The EPIC scoring system can be useful in predicting the occurrence of organ failure, but it does not differentiate severity and number of failed organs in early phase AP.
Accurate preoperative differentiation of intrahepatic cholangiocarcinoma (ICC) and hepatocellular carcinoma (HCC) in the setting of cirrhotic liver is of great clinical significance because the treatment and prognosis of these entities differ markedly. Through a retrospectively research, we sought to determine the diagnostic performances of intravoxel incoherent motion (IVIM) and diffusion weighted imaging (DWI) parameters in the differentiating of ICC and HCC. According to the results, we found that apparent diffusion coefficient (ADC) derived from mono-exponential model and true ADC (ADCslow) derived from bi-exponential model can be used to distinguish the ICC and HCC, and ADCslowentailed the higher diagnostic performance than ADC. However, pseudo-ADC (ADCfast) and perfusion fraction (f) can not be used to differentiate ICC and HCC. These results suggested that IVIM and DWI parameters can be useful in differentiating ICC and HCC and might be helpful in selecting the treatment plan and predicting prognosis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.