Anadolu Kardiyoloji Dergisi, Anadolu Kardiyol Derg, The Anatolian Journal of Cardiology, Anatol J Cardiol, Cardiology, Cardiovascular Medicine, Surgery, Pediatric Cardiology, Angiology

This study aims to determine the diagnostic performance of superb microvascular imaging (SMI) and shear wave elastography methods in evaluating breast lesions. We will also compare the effectiveness of the stiffness, velocity, and vascular index (VI) parameters in distinguishing malignancy. From January to June 2019, 121 patients with 121 solid breast masses (category 4 and 5 lesions according to the Breast Imaging-Reporting and Data System) detected during the routine grayscale sonographic examination were included in the study. Stiffness and velocity values were obtained using shear wave elastography for all lesions, and VI was obtained using SMI. The receiver operating characteristic curves were obtained to set the best cutoff values for the stiffness, velocity, and VI to differentiate patients with malignant breast lesions. All 121 lesions were pathologically verified by US-guided core needle biopsy. Forty-seven (38.9%) of the lesions were malignant, and 74 (61.1%) were benign. Median stiffness, velocity, and VI values were significantly lower in benign masses compared with malignant masses (P < 0.001). The optimum cutoff values for the stiffness, velocity, and VI were determined to be 58.3 kPa, 4.5 m/s, and 1.1%, respectively. The areas under the curves were 0.897 for stiffness, 0.884 for velocity, and 0.687 for VI. Shear wave elastography and SMI are noninvasive methods that may be used to evaluate breast masses. Although both methods' quantitative data are beneficial in differentiating malignant from benign masses, stiffness is the best parameter to be used.

To investigate the changes in the spleen size, parenchymal heterogeneity, and computed tomography (CT) texture analysis features of patients diagnosed with Coronavirus Disease 2019 (COVID-19) Methods: The size and parenchymal structure of the spleen in 91 patients who underwent thoracic CT examination due to COVID-19 were evaluated. For the evaluation of parenchymal heterogeneity, CT texture analysis was performed using dedicated software (Olea Medical, France). The texture analysis of each case consisted of 15 first-order intensity-based features, 17 gray level co-occurrence matrix-based features, and 9 gray level run length matrix-based features. A total of 91 patients (45 males, 46 females) with a mean age of 54.31±16.33 years (range: 18?81) were included in the study. A statistically significant decrease in spleen size was seen in the follow-up CT examinations (p < 0.001) whereas no statistically significant difference was found between the Hounsfield unit (HU) values. The radiomics consisted of first-order intensity-based features such as 90th percentile, maximum, interquartile range, range, mean absolute deviation, standard deviation, and variance, all of which showed statistically significant differences (p-values: < 0.001, < 0.001, 0.001, 0.003, 0.001, 0.001, and 0.004, respectively). ?Correlation? as a gray level co-occurrence matrix-based feature and ?gray level non-uniformity? as a gray level run length matrix-based feature showed statistically differences (p-values: 0.033 and < 0.001, respectively). Although COVID-19 manifests with lung involvement in the early stage, it can also cause systemic involvement, and the spleen may be one of its target organs. A decrease in the spleen size and parenchymal microstructure changes can be observed in the short follow-up time. It is hoped that the changes in the parenchymal microstructure will be demonstrated by a non-invasive method: texture analysis.

Aim of the study: To determine the parenchymal vascularity of the thyroid gland with color superb microvascular imaging in patients with Graves' disease, and compare the vascularization index values with healthy subjects. Materials and methods: The thyroid glands of 37 patients whose laboratory and clinical findings were consistent with Graves' disease, and 40 asymptomatic subjects with normal laboratory values, were examined using color superb microvascular imaging. Measurements of the vascularization index were performed with a free region of interest which was drawn along the outer margin of the gland on the color superb microvascular imaging mode. The vascularization index values obtained in the Graves' disease and control groups were compared. A correlation analysis was performed between the vascularization index values and laboratory and grayscale US parameters. Results: The median vascularization index value of the thyroid parenchyma in patients with Graves' disease was significantly higher than in the asymptomatic group [median (min-max); 12 (2.3-32.1) vs 5.04 (1.1-10.8), p <0.001]. When the cutoff value of the vascularization index is determined as 6.3, Graves' disease can be diagnosed with 83.8% sensitivity and 70% specificity. Conclusions: The vascularization index obtained with color superb microvascular imaging can be a quantitative indicator of parenchymal vascularity in the diagnosis of Graves' disease, and serve as a supportive tool.