BACKGROUND: Metabolic risk factors should be important in addition to imaging for prediction of steatosis in prospective liver donors. MATERIALS AND METHODS: The study group included all prospective liver donors who had a liver biopsy during workup. Risk factors of metabolic syndrome were analyzed, and body mass index (BMI) ≥25 kg/m2 was used in place of waist circumference. Three BMI cutoffs (25, 28, and 30 kg/m2 ) and two CT-measured liver attenuation index (LAI) cutoffs (<5 and ≤10) were used for steatosis assessment of ≥5%, ≥10%, and ≥20%. RESULTS: Of the 573 prospective donors (307 females), 282 (49.2%) donors had nonalcoholic fatty liver (NAFL). When donors with NAFL were compared with donors having normal histology, multivariate analysis showed BMI, ALT, triglycerides, and LAI as significant predictors of NAFL. BMI ≥25 kg/m2 and LAI <10 were better cutoffs. The presence of ≥2 metabolic risk factors had better sensitivity than CT-LAI for the presence of NAFL and ≥20% steatosis (58% and 54% vs 47% and 22%, respectively, for CT-LAI ≤10). The presence of LAI >10 and <2 metabolic risk factors predicted <10% steatosis with 96% specificity and 92% positive predictive value. CONCLUSION: The presence of ≥2 metabolic risk factors improves sensitivity of CT-LAI for prediction of donor steatosis.
BACKGROUND: Metabolic risk factors should be important in addition to imaging for prediction of steatosis in prospective liver donors. MATERIALS AND METHODS: The study group included all prospective liver donors who had a liver biopsy during workup. Risk factors of metabolic syndrome were analyzed, and body mass index (BMI) ≥25 kg/m2 was used in place of waist circumference. Three BMI cutoffs (25, 28, and 30 kg/m2 ) and two CT-measured liver attenuation index (LAI) cutoffs (<5 and ≤10) were used for steatosis assessment of ≥5%, ≥10%, and ≥20%. RESULTS: Of the 573 prospective donors (307 females), 282 (49.2%) donors had nonalcoholic fatty liver (NAFL). When donors with NAFL were compared with donors having normal histology, multivariate analysis showed BMI, ALT, triglycerides, and LAI as significant predictors of NAFL. BMI ≥25 kg/m2 and LAI <10 were better cutoffs. The presence of ≥2 metabolic risk factors had better sensitivity than CT-LAI for the presence of NAFL and ≥20% steatosis (58% and 54% vs 47% and 22%, respectively, for CT-LAI ≤10). The presence of LAI >10 and <2 metabolic risk factors predicted <10% steatosis with 96% specificity and 92% positive predictive value. CONCLUSION: The presence of ≥2 metabolic risk factors improves sensitivity of CT-LAI for prediction of donorsteatosis.