title: Voxel-based Histographic Analysis of the Basilar Artery in Patients with Isolated Pontine Infarction.
abstract: OBJECTIVE
  The signal information per voxels of magnetic resonance imaging (MRI) for vessel wall could reflect the pathologic features of atherosclerotic vessels. The aim of this study is to evaluate the usefulness of magnetic resonance voxel-based histogram (VBH) of atherosclerotic basilar artery in patients with isolated pontine infarctions (PIs).
  
  
  METHODS
  Wall and lumen of basilar artery were segmented from high resolution MR of 42 patients with isolated PI and 10 normal volunteers. VBHs were obtained after normalization by dividing the intensity of segmented wall with the intensity of non-infarcted area of pons. The variables of VBH included area (A), mean signal intensity (SI), standard deviation (SD), kurtosis (K), and skewness (SK) and area stenosis [AS; Awall/(Awall+ Alumen)] were compared according to the MRI-modified American Heart Association (AHA) atherosclerotic plaque schema, and between the subgroups of PI (lacunar: LPI and paramedian: PPI).
  
  
  RESULTS
  According to the MRI-modified AHA atherosclerotic plaque schema, Awall/T1(mean area of wall on T1-weighted MRI), SIwall/T1, SDwall/T1, SKwall/T1, Kwall/T1, Alumen/T1, and AST1showed statistical differences. AHA IV-VII showed higher Awall/T1, SIwall/T1, and AST1than normal control. PPI showed statistical differences in Awall/T1, SIwall/T1, SKwall/T1, and Awall/T2than those of normal control after post hoc test, whereas LPI in Awall/T1and Awall/T2(P < 0.05, Kruskal-Wallis test, Dunnett T3 procedure).
  
  
  CONCLUSIONS
  VBH analysis can provide the quantitative information with regard to volume as well as composition of the atherosclerotic plaque in the basilar artery. The difference in patterns of VBH might be further useful in characterizing PIs with presumably different pathogenesis.
authors.affiliation: Daekyung Radiology Clinics.
authors.forename: Han Won
authors.initials: HW
authors.lastname: Jang
authors.forename: Hui Joong
authors.initials: HJ
authors.lastname: Lee
authors.forename: Jongmin
authors.initials: J
authors.lastname: Lee
authors.forename: Chulho
authors.initials: C
authors.lastname: Won
authors.forename: Sung Won
authors.initials: SW
authors.lastname: Youn
authors.forename: Mun
authors.initials: M
authors.lastname: Han
authors.forename: Yongmin
authors.initials: Y
authors.lastname: Chang
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D001488:Basilar Artery / Q000000981:diagnostic imaging*; D020520:Brain Infarction / Q000000981:diagnostic imaging*; D002526:Cerebellar Diseases / Q000000981:diagnostic imaging; D003251:Constriction, Pathologic / Q000000981:diagnostic imaging; D048909:Diabetes Complications; D005260:Female; D006801:Humans; D006973:Hypertension / Q000150:complications; D007091:Image Processing, Computer-Assisted / Q000379:methods; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D058226:Plaque, Atherosclerotic / Q000000981:diagnostic imaging*; D011149:Pons / Q000098:blood supply* / Q000000981:diagnostic imaging; D012907:Smoking; D014481:United States