title: Pallidal index measured with three-dimensional T1-weighted gradient echo sequence is a good predictor of manganese exposure in welders.
abstract: OBJECTIVE
  To evaluate which T1-wieghted technique between 3D gradient-echo (FSPGR) and conventional spin-echo (SE) sequence is more sensitive predictor of neurobehavioral dysfunction found in welders with chronic manganese (Mn) acquired at 3 Tesla.
  
  
  METHODS
  Forty-three current male welders and 29 age- and gender-matched, nonwelding production workers (control individuals) were recruited to the present study. Each subject underwent neurological examination, blood sample collection, and neurobehavioral tests, in addition to magnetic resonance imaging (MRI) examination. The MRI examinations were performed using a 3.0 Tesla whole-body scanner. T1-weighted axial images were obtained using SE and FSPGR with a 180 degrees inversion recovery prepared pulse, and the corresponding pallidal indices (PI), PI (SE), and PI (FSPGR), were calculated.
  
  
  RESULTS
  Both PI (SE) and PI (FSPGR) were well correlated with blood Mn level, but only PI (FSPGR) was significantly correlated with air Mn concentration (P = 0.007). Of the neurobehavioral performance indicators, after controlling for covariates, PI (FSPGR) was significantly associated with cognitive components, such as the digit symbol score, the digit span backward score, the Stroop test score and also with the grooved pegboard (dominant hand) score, whereas PI (SE) was associated only with grooved pegboard (dominant hand) score.
  
  
  CONCLUSIONS
  PI using a T1-weighted 3D FSPGR sequence shows the best correlation with neurobehavioral performance indicators and is the best measure for detection of blood and airborne Mn concentrations in welders exposed to excessive occupational Mn.
authors.affiliation: Department of Molecular Medicine, Kyungpook National University College of Medicine, Kyungpook National University Hospital, Daegu, South Korea.
authors.forename: Yongmin
authors.initials: Y
authors.lastname: Chang
authors.forename: Seung-Tae
authors.initials: ST
authors.lastname: Woo
authors.forename: Yangho
authors.initials: Y
authors.lastname: Kim
authors.forename: Jae-Jun
authors.initials: JJ
authors.lastname: Lee
authors.forename: Hui-Jin
authors.initials: HJ
authors.lastname: Song
authors.forename: Hui Joong
authors.initials: HJ
authors.lastname: Lee
authors.forename: Suk Hwan
authors.initials: SH
authors.lastname: Kim
authors.forename: Hun
authors.initials: H
authors.lastname: Lee
authors.forename: Young Joo
authors.initials: YJ
authors.lastname: Kwon
authors.forename: Joon-Ho
authors.initials: JH
authors.lastname: Ahn
authors.forename: Sin-Jae
authors.initials: SJ
authors.lastname: Park
authors.forename: In-Sung
authors.initials: IS
authors.lastname: Chung
authors.forename: Kyoung Sook
authors.initials: KS
authors.lastname: Jeong
mesh_terms: D000328:Adult; D001519:Behavior / Q000187:drug effects; D001921:Brain / Q000473:pathology; D016022:Case-Control Studies; D003071:Cognition / Q000187:drug effects; D017352:Echo-Planar Imaging / Q000379:methods*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008345:Manganese / Q000633:toxicity*; D009422:Nervous System Diseases / Q000139:chemically induced; D016273:Occupational Exposure; D052638:Particulate Matter; D012044:Regression Analysis; D014896:Welding
chemical_list: D052638:Particulate Matter; D008345:Manganese