Reader agreement and accuracy of ultrasound features for hepatic steatosis
| Autor: | Mark A. Valasek, Elise Housman, Cheng William Hong, Charles Q. Li, Giovanna Casola, Ashish P. Wasnik, Tanya Wolfson, Jeremy S. Paige, Claude B. Sirlin, Austin Marsh, Katherine Richman, Michael P. Andre, Hyun-Jung Jang, Rohit Loomba, Alexandra Schlein, Fabio Piscaglia, Lisa H. Deiranieh, Christoph F. Dietrich, Soudabeh Fazeli Dekhordy, Mary O'Boyle |
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| Přispěvatelé: | Cheng William Hong , Austin Marsh , Tanya Wolfson , Jeremy Paige , Soudabeh Fazeli Dekhordy , Alexandra N Schlein , Elise Housman , Lisa H Deiranieh , Charles Q Li , Ashish P Wasnik , Hyun-Jung Jang , Christoph F Dietrich , Fabio Piscaglia , Giovanna Casola , Mary O'Boyle , Katherine M Richman , Mark A Valasek , Michael Andre , Rohit Loomba , Claude B Sirlin |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
Male
medicine.medical_specialty Hepatic steatosis Radiology Nuclear Medicine and Imaging Intraclass correlation Ultrasound feature Urology Hepatic steatosi Hepatic vein blurring Reader agreement Article 030218 nuclear medicine & medical imaging Cohort Studies 03 medical and health sciences 0302 clinical medicine Clinical Research Medicine Humans Prospective Studies Prospective cohort study Vein Case report form Ultrasonography Adult patients Radiological and Ultrasound Technology business.industry Prevention Liver Disease Ultrasound Gastroenterology Reproducibility of Results Middle Aged medicine.disease Fatty Liver Ultrasound features medicine.anatomical_structure Liver 030220 oncology & carcinogenesis Standard protocol Biomedical Imaging Female Radiology Steatosis business Digestive Diseases |
| Zdroj: | Abdominal radiology (New York), vol 44, iss 1 Hong, CW; Marsh, A; Wolfson, T; Paige, J; Dekhordy, SF; Schlein, AN; et al.(2018). Reader agreement and accuracy of ultrasound features for hepatic steatosis.. Abdominal radiology (New York). doi: 10.1007/s00261-018-1683-0. UC San Diego: Retrieved from: http://www.escholarship.org/uc/item/7nc98574 |
| DOI: | 10.1007/s00261-018-1683-0. |
| Popis: | Purpose: The purpose of the study is to assess the reader agreement and accuracy of eight ultrasound imaging features for classifying hepatic steatosis in adults with known or suspected hepatic steatosis. Methods: This was an IRB-approved, HIPAA-compliant prospective study of adult patients with known or suspected hepatic steatosis. All patients signed written informed consent. Ultrasound images (Siemens S3000, 6C1HD, and 4C1 transducers) were acquired by experienced sonographers following a standard protocol. Eight readers independently graded eight features and their overall impression of hepatic steatosis on ordinal scales using an electronic case report form. Duplicated images from the 6C1HD transducer were read twice to assess intra-reader agreement. Intra-reader, inter-transducer, and inter-reader agreement were assessed using intraclass correlation coefficients (ICC). Features with the highest intra-reader agreement were selected as predictors for dichotomized histological steatosis using Classification and Regression Tree (CART) analysis, and the accuracy of the decision rule was compared to the accuracy of the radiologists’ overall impression. Results: 45 patients (18 males, 27 females; mean age 56 ± 12 years) scanned from September 2015 to July 2016 were included. Mean intra-reader ICCs ranged from 0.430 to 0.777, inter-transducer ICCs ranged from 0.228 to 0.640, and inter-reader ICCs ranged from 0.014 to 0.561. The CART decision rule selected only large hepatic vein blurring and achieved similar accuracy to the overall impression (74% to 75% and 68% to 72%, respectively). Conclusions: Large hepatic vein blurring, liver–kidney contrast, and overall impression provided the highest reader agreement. Large hepatic vein blurring may provide the highest classification accuracy for dichotomized grading of hepatic steatosis. |
| Databáze: | OpenAIRE |
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