Evaluation of placenta in patients with gestational diabetes using shear wave elastography and superb microvascular imaging.

BACKGROUND: Gestational diabetes mellitus (GDM) is a common disease, and the placenta shows various functional and morphological changes in these patients. Superb microvascular imaging (SMI) and shear wave elastography (SWE) are innovative ultrasound (US) methods that provide detailed information about tissue vascularization and elasticity. PURPOSE: To evaluate placental changes in patients with GDM with SMI and SWE methods. MATERIAL AND METHODS: For this case-control study, 20 healthy and 20 women with GDM were included. Women at >21 weeks of pregnancy were evaluated with SMI and SWE by two independent radiologists. Mean SMI values and mean SWE values from three different region of interest-based measurements were compared between the two groups. RESULTS: We identified that the mean SMI and SWE value ​​of the GDM group was found to be significantly higher than that of the control group (P = 0.002, P = 0.001 respectively). Using a receiver operating characteristic curve, the cutoff value of the SMI ratio, which maximizes the prediction of the presence of GDM, was 0.1234279750 (95% confidence interval [CI] = 0.625-0.920), the SWE cut-off value was 15.5 kPa (95% CI = 0.794-0.989). CONCLUSION: We have demonstrated that evaluation with SMI and SWE might allow quantitative assessment of the morphological changes of placentas in women with GDM. We believe that the use of innovative methods such as SMI and SWE in addition to conventional US examinations in daily practice and studies will provide significant clinical benefits to patient management.

The Role of Superb Microvascular Imaging and Shear Wave Elastography in the Prediction of Hemorrhage Complications After Renal Parenchyma Biopsy.

OBJECTIVES: The aim of study was to evaluate the diagnostic utility of the renal parenchyma elasticity with the shear wave elastography (SWE) and microvascularization with the superb microvascular imaging (SMI) technique before kidney biopsy and to predict the complication of hemorrhage before kidney biopsy. METHODS: A total of 75 patients were included in the prospective study. Before the biopsy, vascularity features of the kidney parenchyma in the area to be biopsied were assessed by SMI and parenchymal stiffness by SWE and were examined by 2 independent radiologists. RESULTS: A statistically significant difference was found in the SMI and SWE values between the groups with and without hematoma and hematuria when compared with the Student t test and Mann-Whitney U test ( P < 0.05). The SWE hardness cutoff value, which maximizes the prediction of the development of hematuria, was found to be 18.40 kPa, and the sensitivity and specificity values were 84.4% and 62.8%, respectively. In SMI vascularity index values, the cutoff value was found to be 0.247410800 kPa, and sensitivity and specificity values were 81.3% and 83.7%, respectively. The cutoff value of the SMI vascularity index values that maximized the prediction of hematoma development was 0.297009650, and the sensitivity and specificity values were 87% and 87%, respectively. CONCLUSIONS: We believe that evaluating and standardizing the microvascularization and elasticity of the kidney parenchyma before a percutaneous kidney biopsy will be potentially useful as a guiding method in the prediction of postbiopsy hemorrhage development.

Evaluation of celiac artery and common hepatic artery variations by CT-angiography and new classification model.

PURPOSE: Knowledge of anatomical variations is important in all interventional procedures. This study aims to evaluate the variations and prevalence of celiac trunk (CeT) and its branches. METHODS: The computerized tomography-angiography (CT-A) findings of 941 adult patients were evaluated retrospectively. Variations of the CeT and common hepatic artery (CHA) were evaluated according to the number of branches and their origin. Findings were compared with classical classification methods. A new classification model has been defined. RESULTS: Normal (complete) trifurcation was detected in 856 (90.9%) of them, where left gastric artery (LGA), splenic artery (SpA) and CHA branches were derived from the CeT. Among 856 complete trifurcation cases, 773 (90.3%) had non-classical trifurcation patterns. The rate of classic trifurcation was 8.8%, while non-classic trifurcation was 82.1% in all cases. In one case (0.1%), LGA and left hepatic artery together and right hepatic artery and SpA together appeared as a double bifurcation. Complete celiacomesenteric trunk was observed only in 4 (0.42%) cases. In seven cases (0.7%), LGA, SpA and CHA were coming out of abdominal aorta (AAo) independently. CHA normal anatomy (Michels Type I) was detected in 618 (65.5%) patients. We found that 49 (5.2%) of our cases were ambiguous according to the Michels Classification. We have described five different variations of hepatic arteries directly arising from the AAo. CONCLUSION: Preoperative recognition of anatomical variations of CeT, superior mesenteric artery and CHA is of primary importance in both surgical and radiological procedures. With careful evaluation of CT-angiographies, it is possible to detect rare variations.

Diffusion tensor imaging and diffusion-weighted imaging on axillary lymph node status in breast cancer patients.

PURPOSE This article will examine the usefulness of diffusion tensor imaging (DTI) and diffusion-weighted imaging (DWI) on the assessment of axillary lymph nodes (ALN) of breast cancer patients. METHODS Axillary lymph nodes in 66 breast cancer patients were examined by DTI and DWI, and the largest lymph node with increased cortical thickness in axilla was selected. Morphological features, apparent diffusion coefficient (ADC), volume anisotropy, and fractional anisotropy values were measured by using a special software. Imaging findings and histopathological results were recorded. RESULTS Metastatic ALN were detected in 43 (65.1%) patients. Cortical thickness of the metastatic ALN was significantly higher than the non-metastatic ALNs (P < .001), and the long-axis-to-shortaxis ratio was significantly lower in metastatic ALNs (P < .001). There was a statistically significant difference between the ALN status and fatty hilum presence (P < .001). Apparent diffusion coefficient values of metastatic ALNs were statistically lower than those of non-metastatic ALNs (P < .001) using a cutoff value of 1.26 × 10-3 mm2 /s for b=500 ADC and 1.21 × 10-3 mm2 /s for b=800 ADC which had 97.7% sensitivity and 91.3% specificity. Fractional anisotropy and volume anisotropy values were significantly different between both groups. A cutoff value of 0.47 for b-500 fractional anisotropy had 83.7% sensitivity, 69.6% specificity 69.6% positive predictive value, and 83.7% negative predictive value. A cutoff value of 0.33 for b=500 volume anisotropy had 76.7% sensitivity, 78.3% specificity, 86.8% positive predictive value, and 64.3% negative predictive value. CONCLUSION Apparent diffusion coefficient value of metastatic ALNs was found to be significantly lower than those of non-metastatic ALN, and DTI metrics of metastatic ALN were found to be significantly higher than those of non-metastatic ALN. Overall, ADC had a better diagnostic performance than morphological features, fractional anisotropy, and volume anisotropy. Diffusion tensor imagingderived diffusion metrics may be used to complement breast magnetic resonance imaging in the future after further standardization of the imaging parameters.