title: Clinical studies on the visualization of gastric lesions using virtual CT endoscopy.
abstract: OBJECTIVE
  We evaluated the clinical usefulness of virtual CT gastroendoscopy (VCTGE).
  
  
  METHODS
  The subjects were 124 patients with endoscopically identified gastric lesions. VCTGE images were obtained using a GE-Navigator. We evaluated VCTGE in the visualization of gastric lesions for their presence and morphology.
  
  
  RESULTS
  The detection rate of all gastric lesions by VCTGE was 76% (94 of 124 patients). The smallest detectable early gastric cancer was II c measuring 10 x 8 mm. The detection rates of each gastric lesion by VCTGE were 73% in early gastric cancer, and 90% in advanced gastric cancer. VCTGE imaging in the advanced gastric cancer was good in 12 (30%), fair in 25 (60%) and poor in 4 (10%). VCTGE imaging in early gastric cancer was good in 20 (46%), fair in 12 (27%) and poor in 12 (27%). The significance P level was 0.005 between the evaluation of the imaging of advanced and early gastric cancer.
  
  
  CONCLUSIONS
  VCTGE visualized the characteristics of diverse gastric lesions and was considered useful for the detection and the diagnosis of these lesions.
authors.affiliation: Department of Radiology, Osaka City University Medical School, Osaka, Japan.
authors.forename: H
authors.initials: H
authors.lastname: Kim
authors.forename: S
authors.initials: S
authors.lastname: Takashima
authors.forename: T
authors.initials: T
authors.lastname: Kaminou
authors.forename: S
authors.initials: S
authors.lastname: Hayashi
authors.forename: N
authors.initials: N
authors.lastname: Nishida
authors.forename: T
authors.initials: T
authors.lastname: Matsuoka
authors.forename: K
authors.initials: K
authors.lastname: Nakamura
authors.forename: R
authors.initials: R
authors.lastname: Yamada
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D003937:Diagnosis, Differential; D005260:Female; D005773:Gastroscopy; D006801:Humans; D021621:Imaging, Three-Dimensional; D008297:Male; D008875:Middle Aged; D013270:Stomach / Q000473:pathology*; D013274:Stomach Neoplasms / Q000175:diagnosis* / Q000473:pathology; D014057:Tomography, X-Ray Computed / Q000379:methods*