Staging MRI of uterine malignant mixed Müllerian tumors versus endometrial carcinomas with emphasis on dynamic enhancement characteristics.

PURPOSE: To determine whether staging pelvic magnetic resonance imaging (MRI) can distinguish malignant mixed Müllerian tumor (MMMT) from EC. METHODS: Thirty-seven treatment-naïve patients with histologically proven uterine MMMT and 42 treatment-naïve patients with EC, treated at our institution, were included in our retrospective study. Staging pelvic MRI scans were reviewed for tumor size, prolapse through cervical os, and other features. Time-intensity curves for tumor and surrounding myometrium regions of interest were generated, and positive enhancement integral (PEI), maximum slope of increase (MSI), and signal enhancement ratio (SER) were measured. The Fisher's exact test or Wilcoxon rank-sum test was used to compare characteristics between disease groups. Multivariate and univariate logistic regression models were used to distinguish MMMT from EC. Receiver operating characteristic analysis and the area under the curve (AUC) were used to evaluate prediction ability. RESULTS: MMMTs were larger than ECs with higher rate of tumor prolapse and more heterogeneous tumor enhancement compared to ECs. During the late phase of contrast enhancement, 100% of ECs, but only 84% of MMMTs, had lower signal intensity than the myometrium. Threshold PEI ratio ≥ 0.67 predict MMMT with 76% sensitivity, 84%, specificity and 0.83 AUC. Threshold SER ≤ 125 predict MMMT with 90% sensitivity, 50% specificity, and 0.72 AUC. CONCLUSION: MMMTs may show more frequent tumor prolapse, more heterogeneous enhancement, delayed iso- or hyper-enhancement, higher PEI ratios, and lower tumor SERs compared with EC. MRI can be used as a biomarker to distinguish MMMT from EC based on the enhancement pattern.

CT Imaging of Complications Associated with Continuous-Flow Left Ventricular Assist Devices (LVADs).

Heart failure is becoming increasingly prevalent, and more patients are being treated with left ventricular assist devices (LVADs), either as a bridge to transplant or as destination therapy. The use of continuous-flow LVADs is on the rise. LVAD therapy is associated with several classes of complications, including bleeding, thrombosis, and infection. CT imaging can be used effectively to diagnose LVAD complications, including mediastinal hematomas and pericardial, abdominal wall, and retroperitoneal hemorrhage, inflow and outflow graft and aortic thrombi, and driveline and pump pocket infections. CT can also be helpful in cases of device malfunction and can detect outflow graft kinking and inflow cannula misalignment. When interpreting CT scans in patients with LVADs, accessory materials implanted with the device should not be mistaken for hemorrhage or calcification. With training in recognizing LVAD complications, radiologists can play an important role in the evaluation of patients with heart failure.