title: Evaluation of CT-based lean-body SUV.
abstract: OBJECTIVE
  The authors introduce a novel method for defining standardized uptake values (SUVs) in PET∕CT based on routinely collected CT data. The goal of the study is to reduce, if possible, the variability of SUV in a heterogeneous population. Two well established methods for defining SUV are based on body weight (BW) and lean body mass, calculated as a function of height, weight, and sex with an empirical formula (LBM). The authors investigate two novel models, CT1 and CT2, that estimate the lean mass from CT Hounsfield Unit values. The authors compare the four methods, assessing the variability of hepatic SUV in (18)F-FDG studies.
  
  
  METHODS
  CT images from 252 cancer patients were segmented into regions representing lean tissues, fat, and bone. The fraction of lean tissue in the scanned region was extrapolated to the entire body with a naive method (CT1) and a method that modeled typical FDG uptake patterns (CT2). For each method, SUV-based measurements of the liver were calculated for all patients and dependence on body weight was assessed. Coefficients of variation (CVs) were evaluated. Several sub-cohorts were analyzed, including those with low and high body mass index (BMI). The extrapolation technique was tested in 19 melanoma patients who received head to toe PET∕CT scans. CT-based weight predictions were compared with actual patient weight in melanoma studies and in PET∕CT scans of pigs.
  
  
  RESULTS
  Only the SUV based on BW method depended significantly on body weight. CVs for the BW, LBM, CT1, and CT2 methods were, respectively, 18.0%, 15.5%, 15.9%, and 14.9%. In the high-BMI cohort, CVs were 18.2%, 16.2%, 16.2%, and 15.1%. Mean SUV of the 14 most obese patients agreed most closely with mean SUV of 120 lean patients when the CT2 method was used. SUV based on truncated CT agreed with head to toe predictions within 5% for the CT1 method and 1% for the CT2 method. CT-based weight estimate recovered 97.4% of the weight in head to toe studies of humans and 99.7% in pig studies.
  
  
  CONCLUSIONS
  The novel CT1 and CT2 methods were less variable than the BW method and were comparable to the LBM method. SUV were little affected by missing CT data.
authors.affiliation: Siemens Healthcare, Knoxville, Tennessee 37932, USA. james.hamill@siemens.com
authors.forename: James J
authors.initials: JJ
authors.lastname: Hamill
authors.forename: John J
authors.initials: JJ
authors.lastname: Sunderland
authors.forename: Amy K
authors.initials: AK
authors.lastname: LeBlanc
authors.forename: Cheryl J
authors.initials: CJ
authors.lastname: Kojima
authors.forename: Jonathan
authors.initials: J
authors.lastname: Wall
authors.forename: Emily B
authors.initials: EB
authors.lastname: Martin
mesh_terms: D000273:Adipose Tissue / Q000000981:diagnostic imaging; D000818:Animals; D001692:Biological Transport; D015992:Body Mass Index; D001842:Bone and Bones / Q000000981:diagnostic imaging; D005260:Female; D006801:Humans; D021621:Imaging, Three-Dimensional; D049268:Positron-Emission Tomography; D015203:Reproducibility of Results; D014057:Tomography, X-Ray Computed