2024
Identification of hepatic steatosis among persons with and without HIV using natural language processing
Torgersen J, Skanderson M, Kidwai-Khan F, Carbonari D, Tate J, Park L, Bhattacharya D, Lim J, Taddei T, Justice A, Re V. Identification of hepatic steatosis among persons with and without HIV using natural language processing. Hepatology Communications 2024, 8: e0468. PMID: 38896066, PMCID: PMC11186806, DOI: 10.1097/hc9.0000000000000468.Peer-Reviewed Original ResearchConceptsImaging ReportingSteatotic liver diseaseHIV statusHepatic steatosisPrevalence of metabolic comorbiditiesImaging studiesVeterans Aging Cohort StudyCompare patient characteristicsPositive predictive valueAlcohol use disorderAging Cohort StudyIdentification of hepatic steatosisHIV infectionHepatitis BMetabolic comorbiditiesNatural language processing algorithmsRadiological studiesCohort studyPatient characteristicsClinical reviewLiver diseaseHIVPredictive valueUse disorderClinical image reports
2023
Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV
Torgersen J, Akers S, Huo Y, Terry J, Carr J, Ruutiainen A, Skanderson M, Levin W, Lim J, Taddei T, So‐Armah K, Bhattacharya D, Rentsch C, Shen L, Carr R, Shinohara R, McClain M, Freiberg M, Justice A, Re V. Performance of an automated deep learning algorithm to identify hepatic steatosis within noncontrast computed tomography scans among people with and without HIV. Pharmacoepidemiology And Drug Safety 2023, 32: 1121-1130. PMID: 37276449, PMCID: PMC10527049, DOI: 10.1002/pds.5648.Peer-Reviewed Original ResearchConceptsSevere hepatic steatosisHepatic steatosisHIV statusLiver attenuationHounsfield unitsPredictive valueRadiologist assessmentUS Veterans Health AdministrationNoncontrast abdominal CTVeterans Health AdministrationCross-sectional studySample of patientsNegative predictive valueReal-world studyPositive predictive valueAbdominal CTLiver fatTomography scanSteatosisCT imagesHealth AdministrationPharmacoepidemiologic studiesRadiologist reviewHIVPercent agreement
2019
Comparison of the prevalence, severity, and risk factors for hepatic steatosis in HIV-infected and uninfected people
Torgersen J, So-Armah K, Freiberg MS, Goetz MB, Budoff MJ, Lim JK, Taddei T, Butt AA, Rodriguez-Barradas MC, Justice AC, Kostman JR, Lo Re V. Comparison of the prevalence, severity, and risk factors for hepatic steatosis in HIV-infected and uninfected people. BMC Gastroenterology 2019, 19: 52. PMID: 30987601, PMCID: PMC6466708, DOI: 10.1186/s12876-019-0969-1.Peer-Reviewed Original ResearchConceptsAdvanced hepatic fibrosisSeverity of steatosisHepatic steatosisHIV infectionHIV statusHepatic fibrosisLiver attenuationCardiovascular diseaseSteatosis severityUninfected individualsGreater severityVeterans Aging Cohort StudyNoncontrast abdominal CTAging Cohort StudySpleen attenuation ratioHepatic steatosis severityCross-sectional studyMultivariable linear regressionUninfected participantsAntiretroviral therapyCohort studyAbdominal CTUninfected personsOverall prevalenceRisk factors