Background Non-alcoholic fatty liver disease (NAFLD) has been rising worldwide due to the rising public health threat of metabolic syndrome. Because non-alcoholic steatohepatitis can proceed to liver fibrosis and cirrhosis, early identification and monitoring are critical for management. For the examination of NAFLD, greyscale ultrasound has been frequently employed. A relatively new technique, attenuation imaging (ATI), can quantitatively evaluate and compute the attenuation coefficient (AC). Our goal was to evaluate the performance and cutoff values of attenuation imaging to identify hepatic steatosis. As a reference standard, greyscale ultrasound was employed. Method A total of 207 patients were assessed from June to November 2021 after getting informed consent. The association between ATI values and greyscale grading to diagnose hepatic steatosis was investigated, and the Statistical Package for the Social Sciences (SPSS) version 21 (IBM Corp., Armonk, NY, USA) was used to analyze the data. In the analysis, the Spearman correlation and area under the receiver operating characteristic curve (AUROC) tests were performed. Receiver operating characteristic curve analysis was also used to assess ATI’s diagnostic capability and cutoff values. Result The correlation between ATI values and hepatic steatosis grades on greyscale was statistically significant (p < 0.05). Greyscale grading and ATI levels have a correlation coefficient (r) of 0.85, indicating a strong association. Steatosis grades 1, 2, and 3 had threshold ATI values of 0.65, 0.73, and 0.96 dB/cm/MHz, respectively. According to greyscale, the diagnostic ability of ATI for steatosis grades 1, 2, and 3 were 0.948 (95% CI: 0.917-0.979), 0.978 (95% CI: 0.961-0.995), and 1.000 (95% CI: 1.000-1.000), respectively. Conclusions Attenuation imaging is a reliable method for identifying liver steatosis, with great performance and a strong association with the greyscale ultrasound.
The aim of the study is the assessment of accuracy for the diagnostic evaluation of Wilms tumor in the pediatric population in the era of contrast-enhanced CT scan using histopathology as a gold standard. Plain and contrast-enhanced abdominal Computed Tomography including pelvis and chest was performed in suspected patients with multiple axial sections with sagittal and coronal reconstructions. Patients were being followed, data was collected and recorded on proforma after histopathology. The patient's mean age for this study in years was 3.5 ± 1.2. Gender distribution showed 170 patients (54.6%) were male while the remaining 141 patients (45.33%) were female. Contrast-enhanced computed tomography showed sensitivity (90.36%), specificity (51.72%), diagnostic accuracy (72.34%), positive predictive value (68.18%), and negative predictive value (82.42%) confirmed on Histopathology as the gold standard. It is concluded from the results of this study that contrast-enhanced computed tomography proved high diagnostic accuracy positive predictive in the detection of Wilms’ tumor by taking histopathology as the gold standard.
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