Accuracy of a semi-quantitative ultrasound method to determine liver fat infiltration in early adulthood
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2020Metadata
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Ibacache Álvarez, Camila
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Accuracy of a semi-quantitative ultrasound method to determine liver fat infiltration in early adulthood
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Abstract
An inexpensive and simple method to determine non-alcoholic fatty liver disease (NAFLD) is the abdominal ultrasound, but there are still doubts about its accuracy. We assessed the precision of a semi-quantitative ultrasound method to determine liver fat infiltration, using magnetic resonance spectroscopy (MRS) as the reference. The study was conducted in youths from an ongoing cohort study. Clinical validation was performed, using receiver operating characteristic analysis, inn= 60 participants (22.6y; 50% males). Abdominal ultrasound was carried out with liver brightness (score 0-3), diaphragm attenuation (0-2) and liver vessel blurring (0-1) scored by two observers. Liver fat was estimated using MRS. Then, analytical validation was conducted in the remaining participants (n= 555; 22.7y; 51% males) using effects size estimates. An ultrasound score >= 4.0 had the highest sensitivity (78%) and specificity (85%) for NAFLD diagnosis. An area under the curve of 86% denotes a good diagnostic performance of the test, whereas a Kappa of 0.63 suggests substantial agreement of ultrasound vs. MRS. The analytical validation showed that participants having NAFLD according to ultrasound had an unhealthier cardiometabolic profile than participants without the condition. Abdominal ultrasound, combined with a semi-quantitative score system, is a reliable method to determine liver fat infiltration in young adults and should be encouraged whenever MRS is unavailable.
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United States Department of Health & Human Services
National Institutes of Health (NIH) - USA
NIH National Heart Lung & Blood Institute (NHLBI)
nffi HL088530
Consejo Nacional de Ciencia y Tecnología (CONICYT) (Chile) through Programa de Capital Humano Avanzado
79140003
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Artículo de publicación ISI Artículo de publicación SCOPUS
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Diagnostics 2020, 10, 431
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