Shear wave elastography is a reproducible imaging technique for the evaluation of CET elasticity and the standard stiffness values of normal CET can be used as reference data to differentiate normal from pathological tissues.
Objectives-To assess interobserver variability in ultrasound-based quantitative liver fat content measurements and to determine how much time these quantitative ultrasound (QUS) techniques require.Methods-One hundred patients with known or suspected of having nonalcoholic fatty liver disease were included in this prospective study. Two observers who were blinded to each other measurements performed tissue attenuation imaging (TAI) and tissue scatter distribution imaging (TSI) techniques independently. Both observers assessed hepatic steatosis visually and obtained 5 measurements for each QUS technique and the median values of the measurements were recorded. Spearman's correlation test was used to assess the correlation between QUS measurements and visual hepatic stetaosis grades. Intraclass correlation coefficient (ICC) test was used to assess interobserver variability in QUS measurements.Results-The median values of TAI measurements for the observers 1 and 2 were 0.75 and 0.74 dB/cm/MHz, respectively. The median values of TSI measurements for the observers 1 and 2 were 93.53 and 92.58, respectively. The interobserver agreement in TAI (ICC: 0.970) and TSI (ICC: 0.938) measurements were excellent. The mean of the required time period for TAI technique were 55.1 AE 7.8 and 59.9 AE 6.6 seconds for the observers 1 and 2, respectively. The mean of the required time period for TSI technique were 49.1 AE 5.8 and 54.1 AE 5.4 seconds for the observers 1 and 2, respectively. Conclusion-The current study revealed that both TAI and TSI techniques are highly reproducible and can be implemented into daily practice with little additional time requirement.
Objectives-In this study, we aimed to determine reference values for normal breast and areolar skin elasticity using shear wave elastography.Methods-The right breasts of 200 female participants were evaluated. The age, weight, body mass index, menopausal status, and parity number of all participants were noted. The elasticity values and thickness of the areolar skin and 4 quadrants of the breast skin of all participants were measured. To assess the reproducibility of shear wave elastography, a randomly selected subgroup of 35 participants was reevaluated by a second observer.Results-The mean age of the participants AE SD was 48.79 AE 10.74 years (range, 18-79 years). The mean elasticity measurements for the superior, inferior, lateral, and medial regions of the breast and areolar skin were 33. 54, 29.84, 30.16, 29.20, and 31.35 kPa, respectively. The mean of the 4-quadrant measurements of breast skin elasticity was 30.68 AE 9.11 kPa. Age had a moderate negative correlation with breast skin elasticity (r = -0.353; P < .001) and a weak negative correlation with areolar skin elasticity (r = -0.237; P = .001). The parity number had weak negative correlations with breast (r = -0.150; P = .034) and areolar (r = -0.207; P < .001) skin elasticity. The interobserver agreement varied from good to excellent (intraclass correlation coefficients, 0.67-0.91) for the breast and areolar skin elasticity measurements.Conclusions-Shear wave elastography is a reproducible imaging modality for evaluations of breast and areolar skin elasticity, and our results may provide important pilot data for evaluations of clinical entities that affect the breast and areolar skin structures.
ChatGPT is a newly developed technology created by the OpenAI company. It is an artificial-intelligence-based large language model (LLM) and able to generate human-like text. The potential roles of ChatGPT in clinical decision support and academic writing have led to intense criticism of this technology in the scientific community. Therefore, radiologists also need to be familiar with LLMs such as ChatGPT.
Purpose: To assess the diagnostic performances of novel Tissue attenuation imaging (TAI) and Tissue scatter distribution imaging (TSI) tools in quantification of liver fat content using magnetic resonance imaging proton density fat fraction (MRI PDFF) as reference standard. Methods: Eighty consecutive patients with known or suspected non-alcoholic fatty liver disease (NAFLD) who volunteered to participate in the study comprised the study cohort. All patients underwent MRI PDFF scan and quantitative ultrasound (QUS) imaging using TAI and TSI tools. The cutoff values of ≥5%, ≥16.3% and ≥21.7% on MRI PDFF were used for mild, moderate and severe steatosis, respectively. Area under the Receiver operating characteristic (AUROC) curves were used to assess the diagnostic performance of TAI and TSI in detecting different grades of hepatic steatosis. Results: The AUROCs of TAI and TSI tools in detecting hepatosteatosis (MRI PDFF ≥5%), were 0.95 [95% Confidence Interval (CI): 0.91–0.99] ( P < 0.001) and 0.96 (95% CI: 0.93–0.99) ( P < 0.001), respectively. In distinguishing between different grades of steatosis, the values of 0.75, 0.86 and 0.96 dB/cm/MHz have 88%, 88% and 100% sensitivity, respectively, for TAI tool; and the values of 92.44, 96.64 and 99.45 have 90%, 92% and 91.7% sensitivity, respectively, for TSI tool. Conclusion: TAI and TSI tools accurately quantify liver fat content and can be used for the assessment and grading of hepatosteatosis in patients with known or suspected NAFLD.
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