Background: To assess the validity and accuracy of GI-RADS classification in the prediction of malignancy and in triaging the management protocol in ovarian lesions.Results: One hundred fifty-six ovarian lesions were detected in the examined 116 women. The prevalence of malignant tumors was 44%. Overall GI-RADS classification rates were as follows: 41 cases (26.3%) were classified as GI-RADS 1, 26 cases (16 .7%) as GI-RADS 2, 34 cases (21.8%) as GI-RADS 3, 14 cases (8.9%) as GI-RADS 4, and 41 cases (26.3%) as GI-RADS 5. No follow-up was done in GI-RADS 1 patients. A final diagnosis of all GI-RADS 2 ovarian masses such as functional cyst (n = 10), hemorrhagic cysts (n = 8), corpus luteal cysts (n = 6), and some GI-RADS 3 as simple cysts (n = 10) was made by spontaneous resolution of these masses at follow-up after 6 weeks. Fifteen cases of GI-RADS 3 as mature teratoma, serous and mucinous cystadenoma, endometrioma, and ovarian torsion and all GI-RADS 4 and 5 underwent laparoscopic or surgical removal of the ovarian mass with histopathological examination. The diagnostic performance of the GI-RADS in predicting the risk of malignancy in ovarian masses was as follows: 98.11% sensitivity, 95.15% specificity, 91.2% positive predictive value (PPV), 99.2% negative predictive value (NPV), and 20.2 positive likelihood ratio, and the overall accuracy was 96.2% (area under receiver operating curve (AUC) = 0.96, P < 0.001).Conclusion: GI-RADS classification performs well as a reporting system of the ovarian masses with high diagnostic performance in the prediction of malignancy, and it seems to be a helpful tool in triaging management in patients with ovarian masses.

Background: To determine the best sonographic (US) and/or Doppler features that the radiologist can use as predictors or risk factors for ovarian malignancy Results: Among the examined 156 ovarian lesions, there were 53 malignant and 103 benign lesions. Most of the malignant ovarian lesions were noted in older age than in benign lesions p < 0.001. Majority of the malignant lesions had non-hyperechoic solid component (92.5%); it had the highest sensitivity of 92.5%, specificity of 97%, accuracy of 94.8%, positive predictive value of 94%, negative predictive value of 96%, and AUC of 0.94 in discrimination between benign and malignant ovarian lesions. The presence of papillary projection, the absence of wall definitions and thick wall, and thick septation were noted in 83%, 81%, and 53.8% of the malignant ovarian lesions respectively. Color flow Doppler shows neovascularity in 88.7% of the malignant lesions, 73.6% of them has central blood flow. The multivariate regression analysis revealed that the presence of non-hyperechoic solid component, new vascularity with central location of the blood flow, papillary projection, thick septa, and old age were the most significant parameters in predicting ovarian cancer in decreasing order of frequency according to their odds ratio (19.45, 7.55, 4.56, 3.45, and 1.45, respectively). Conclusions: The non-hyperechoic solid component, new vascularity with central location of the blood flow, papillary projection, and thick septa were the most significant and consistent US and Doppler predictors of ovarian malignancy in addition to one clinical feature which is the old age ≥ 52 years.

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Background An outbreak of coronavirus disease 2019 (COVID-19) infection caused by a novel coronavirus began in December 2019 in Wuhan in central China that affect the children and adult and causes respiratory disease. This study aimed to highlight the CT features of pediatric patients with COVID-19 with upper respiratory symptoms. Results The mean age of the 53 patients who enrolled in this study were 14.06 ± 4.12 years (range 1-18 years). Majority (75.5%) of them were adolescent. Running nose and fever were the most common symptoms. Forty-four (83%) patients had normal CT with no ground glass opacity (GGO) or consolidation, only 9 patients showed lung opacities; 5 cases showed consolidation, 2 cases with GGO, while consolidation with GGO was noted in another 2 patients. Among these 9 patient, six (66.7%) of them show unilateral lung opacities with peripheral distribution of these opacities in eight (88.9%) patients. The most frequently affected lobes were right and left lower lung lobes that were noted in 6 out of 9 patients with lung opacities (66.7%) in each lobe. Bronchitis was predominant in 23 (43.4%) cases. Conclusions RT-PCR is a gold slandered test in the diagnosis of COVID-19 in children with upper respiratory tract symptoms as Chest CT cannot standalone as a diagnostic tool owing to high prevalence of normal chest CT in these patients. However, in case of lung affection, the presence of unilateral, peripheral consolidation with lower lobe predominance, in addition to bronchial wall thickening should be considered as a hallmark of chest CT in diagnosis of pediatric patients with COVID-19 with upper respiratory symptoms.