Publications by authors named "Waleed S Abo-Shanab"
Objective: To assess the diagnostic accuracy and agreement of CT and MRI in terms of the Bosniak classification version 2019 (BCv2019).
Materials And Methods: A prospective multi-institutional study enrolled 63 patients with 67 complicated cystic renal masses (CRMs) discovered during ultrasound examination. All patients underwent CT and MRI scans and histopathology.
Identification of human miRNAs involved in coronavirus-host interplay is important due to the current COVID-19 pandemic. Therefore, this study aimed to measure the circulating plasma miR-155 expression level in COVID-19 patients and healthy controls to investigate its roles in the pathogenesis and severity of COVID-19 disease and to assess its usefulness as a clinical biomarker for the detection of COVID-19 disease and the severity of infection. A total of 150 COVID-19 patients and 50 controls were enrolled into our study.
View Article and Find Full Text PDFBackground: The Radiological Society of North America (RSNA) recently published a chest CT classification system and Dutch Association for Radiology has announced Coronavirus disease 2019 (COVID-19) reporting and data system (CO-RADS) to provide guidelines to radiologists who interpret chest CT images of patients with suspected COVID-19 pneumonia. This study aimed to compare CO-RADS and RSNA classification with respect to their sensitivity and reliability for diagnosis of COVID-19 pneumonia.
Results: A retrospective study assessed consecutive CT chest imaging of 359 COVID-19-positive patients.
Article Synopsis
- The study assesses the ADNEX MR Scoring system's effectiveness in diagnosing indeterminate adnexal masses (AM) through a multicenter analysis of 531 women.
- The analysis classifies AM into five categories, ranging from benign to probably malignant, with histopathological follow-ups used for validation.
- Results show a high correlation between scores and malignancy likelihood, indicating a score above 3 as the best predictor for malignant cases, achieving a sensitivity of 92.9% and specificity of 94.9%.