Literature DB >> 22138733

Specificity of unenhanced CT for non-invasive diagnosis of hepatic steatosis: implications for the investigation of the natural history of incidental steatosis.

Perry J Pickhardt1, Seong Ho Park, Luke Hahn, Sung-Gyu Lee, Kyongtae T Bae, Eun Sil Yu.   

Abstract

OBJECTIVES: To determine a highly specific liver attenuation threshold at unenhanced CT for biopsy-proven moderate to severe hepatic steatosis (≥30% at histology).
METHODS: 315 asymptomatic adults (mean age ± SD, 31.5 ± 10.1 years; 207 men, 108 women) underwent same-day unenhanced liver CT and ultrasound-guided liver biopsy. Blinded to biopsy results, CT liver attenuation was measured using standard region-of-interest methodology. Multiple linear regression analysis was used to assess the relationship of CT liver attenuation with patient age, gender, BMI, CT system, and hepatic fat and iron content.
RESULTS: Thirty-nine subjects had moderate to severe steatosis and 276 had mild or no steatosis. A liver attenuation threshold of 48 HU was 100% specific (276/276) for moderate to severe steatosis, with no false-positives. Sensitivity, PPV and NPV at this HU threshold was 53.8%, 100% and 93.9%. Hepatic fat content was the overwhelming determinant of liver attenuation values, but CT system (P < 0.001), and hepatic iron (P = 0.035) also had a statistically significant independent association.
CONCLUSIONS: Unenhanced CT liver attenuation alone is highly specific for moderate to severe hepatic steatosis, allowing for confident non-invasive identification of large retrospective/prospective cohorts for natural history evaluation of incidental non-alcoholic fatty liver disease. Low sensitivity, however, precludes effective population screening at this threshold. KEY POINTS: • Unenhanced CT liver attenuation is highly specific for diagnosing moderate/severe hepatic steatosis. • Unenhanced CT can identify large cohorts for epidemiological studies of incidental steatosis. • Unenhanced CT is not, however, effective for population screening for hepatic steatosis.

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Year:  2011        PMID: 22138733     DOI: 10.1007/s00330-011-2349-2

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  49 in total

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Journal:  AJR Am J Roentgenol       Date:  2001-11       Impact factor: 3.959

2.  Multiecho MR imaging and proton MR spectroscopy for liver fat quantification.

Authors:  Boris Guiu; Romaric Loffroy; Jean-Pierre Cercueil; Denis Krause
Journal:  Radiology       Date:  2008-12       Impact factor: 11.105

3.  Computed tomography features of nonalcoholic steatohepatitis with histopathologic correlation.

Authors:  M Raquel Oliva; Koenraad J Mortele; Enrika Segatto; Jonathan N Glickman; Sukru Mehmet Erturk; Pablo R Ros; Stuart G Silverman
Journal:  J Comput Assist Tomogr       Date:  2006 Jan-Feb       Impact factor: 1.826

4.  Nonalcoholic fatty liver, steatohepatitis, and the metabolic syndrome.

Authors:  Giulio Marchesini; Elisabetta Bugianesi; Gabriele Forlani; Fernanda Cerrelli; Marco Lenzi; Rita Manini; Stefania Natale; Ester Vanni; Nicola Villanova; Nazario Melchionda; Mario Rizzetto
Journal:  Hepatology       Date:  2003-04       Impact factor: 17.425

5.  Prevalence and risk factors of non-alcoholic fatty liver disease among Korean adults.

Authors:  Seung H Park; Woo K Jeon; Sang H Kim; Hong J Kim; Dong I Park; Yong K Cho; In K Sung; Chong I Sohn; Dong K Keum; Byung I Kim
Journal:  J Gastroenterol Hepatol       Date:  2006-01       Impact factor: 4.029

6.  Nonalcoholic steatohepatitis: a proposal for grading and staging the histological lesions.

Authors:  E M Brunt; C G Janney; A M Di Bisceglie; B A Neuschwander-Tetri; B R Bacon
Journal:  Am J Gastroenterol       Date:  1999-09       Impact factor: 10.864

7.  Unenhanced CT for assessment of macrovesicular hepatic steatosis in living liver donors: comparison of visual grading with liver attenuation index.

Authors:  Sang Won Lee; Seong Ho Park; Kyoung Won Kim; Eugene K Choi; Yong Moon Shin; Pyo Nyun Kim; Kyoung Ho Lee; Eun Sil Yu; Shin Hwang; Sung-Gyu Lee
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8.  Fulminant hepatic failure in children: etiology, histopathology and MDCT findings.

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9.  The prevalence and etiology of elevated aminotransferase levels in the United States.

Authors:  Jeanne M Clark; Frederick L Brancati; Anna Mae Diehl
Journal:  Am J Gastroenterol       Date:  2003-05       Impact factor: 10.864

10.  The natural history of nonalcoholic fatty liver: a follow-up study.

Authors:  M R Teli; O F James; A D Burt; M K Bennett; C P Day
Journal:  Hepatology       Date:  1995-12       Impact factor: 17.425

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  43 in total

1.  Serum 25-hydroxyvitamin-D and nonalcoholic fatty liver disease: Does race/ethnicity matter? Findings from the MESA cohort.

Authors:  Samar R El Khoudary; Saad Samargandy; Irfan Zeb; Temitope Foster; Ian H de Boer; Dong Li; Matthew J Budoff
Journal:  Nutr Metab Cardiovasc Dis       Date:  2019-09-10       Impact factor: 4.222

2.  CT indices for the diagnosis of hepatic steatosis using non-enhanced CT images: development and validation of diagnostic cut-off values in a large cohort with pathological reference standard.

Authors:  Jieun Byun; Seung Soo Lee; Yu Sub Sung; Youngbin Shin; Jessica Yun; Ho Sung Kim; Eun Sil Yu; Sung-Gyu Lee; Moon-Gyu Lee
Journal:  Eur Radiol       Date:  2018-12-19       Impact factor: 5.315

3.  Dynamic PET of human liver inflammation: impact of kinetic modeling with optimization-derived dual-blood input function.

Authors:  Guobao Wang; Michael T Corwin; Kristin A Olson; Ramsey D Badawi; Souvik Sarkar
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4.  Automated measurement of liver attenuation to identify moderate-to-severe hepatic steatosis from chest CT scans.

Authors:  Artit Jirapatnakul; Anthony P Reeves; Sara Lewis; Xiangmeng Chen; Teng Ma; Rowena Yip; Xing Chin; Shuang Liu; Ponni V Perumalswami; David F Yankelevitz; Michael Crane; Andrea D Branch; Claudia I Henschke
Journal:  Eur J Radiol       Date:  2019-10-25       Impact factor: 3.528

5.  Comparison of new and conventional versions of model-based iterative reconstruction in reduced-dose computed tomography for diagnosis of hepatic steatosis.

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Review 6.  Liver fat imaging-a clinical overview of ultrasound, CT, and MR imaging.

Authors:  Yingzhen N Zhang; Kathryn J Fowler; Gavin Hamilton; Jennifer Y Cui; Ethan Z Sy; Michelle Balanay; Jonathan C Hooker; Nikolaus Szeverenyi; Claude B Sirlin
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

Review 7.  Importance of imaging and recent developments in diagnosis of nonalcoholic fatty liver disease.

Authors:  Mustafa Koplay; Mesut Sivri; Hasan Erdogan; Alaaddin Nayman
Journal:  World J Hepatol       Date:  2015-04-18

8.  Assessment of liver fat in an obese patient population using noncontrast CT fat percent index.

Authors:  Ali F Jon; Ahmad R Cheema; Atif N Khan; Vassilios Raptopoulos; Thomas Hauser; Imad Nasser; Francine K Welty; Andrew Karellas; Melvin E Clouse
Journal:  Clin Imaging       Date:  2014-01-17       Impact factor: 1.605

9.  LI-RADS v2017 categorisation of HCC using CT: Does moderate to severe fatty liver affect accuracy?

Authors:  Seung Soo Kim; Jeong Ah Hwang; Hyeong Cheol Shin; Seo-Youn Choi; Tae Wook Kang; Sung Shick Jou; Woong Hee Lee; Suyeon Park; Nam Hun Heo
Journal:  Eur Radiol       Date:  2018-08-02       Impact factor: 5.315

Review 10.  Radiologic evaluation of nonalcoholic fatty liver disease.

Authors:  Seung Soo Lee; Seong Ho Park
Journal:  World J Gastroenterol       Date:  2014-06-21       Impact factor: 5.742

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