title: A computer system to be used with laser-based endoscopy for quantitative diagnosis of early gastric cancer.
abstract: OBJECTIVE
  To evaluate the usefulness of a newly devised computer system for use with laser-based endoscopy in differentiating between early gastric cancer, reddened lesions, and surrounding tissue.
  
  
  BACKGROUND
  Narrow-band imaging based on laser light illumination has come into recent use. We devised a support vector machine (SVM)-based analysis system to be used with the newly devised endoscopy system to quantitatively identify gastric cancer on images obtained by magnifying endoscopy with blue-laser imaging (BLI). We evaluated the usefulness of the computer system in combination with the new endoscopy system.
  
  
  METHODS
  We evaluated the system as applied to 100 consecutive early gastric cancers in 95 patients examined by BLI magnification at Hiroshima University Hospital. We produced a set of images from the 100 early gastric cancers; 40 flat or slightly depressed, small, reddened lesions; and surrounding tissues, and we attempted to identify gastric cancer, reddened lesions, and surrounding tissue quantitatively.
  
  
  RESULTS
  The average SVM output value was 0.846 ± 0.220 for cancerous lesions, 0.381 ± 0.349 for reddened lesions, and 0.219 ± 0.277 for surrounding tissue, with the SVM output value for cancerous lesions being significantly greater than that for reddened lesions or surrounding tissue. The average SVM output value for differentiated-type cancer was 0.840 ± 0.207 and for undifferentiated-type cancer was 0.865 ± 0.259.
  
  
  CONCLUSIONS
  Although further development is needed, we conclude that our computer-based analysis system used with BLI will identify gastric cancers quantitatively.
authors.affiliation: Departments of *Gastroenterology and Metabolism †Endoscopy and Medicine ‡Information Engineering, Graduate School of Engineering §Research Institute for Nanodevice and Bio Systems ∥Department of Health Service Center, Hiroshima University, Hiroshima, Japan.
authors.forename: Rie
authors.initials: R
authors.lastname: Miyaki
authors.forename: Shigeto
authors.initials: S
authors.lastname: Yoshida
authors.forename: Shinji
authors.initials: S
authors.lastname: Tanaka
authors.forename: Yoko
authors.initials: Y
authors.lastname: Kominami
authors.forename: Yoji
authors.initials: Y
authors.lastname: Sanomura
authors.forename: Taiji
authors.initials: T
authors.lastname: Matsuo
authors.forename: Shiro
authors.initials: S
authors.lastname: Oka
authors.forename: Bisser
authors.initials: B
authors.lastname: Raytchev
authors.forename: Toru
authors.initials: T
authors.lastname: Tamaki
authors.forename: Tetsushi
authors.initials: T
authors.lastname: Koide
authors.forename: Kazufumi
authors.initials: K
authors.lastname: Kaneda
authors.forename: Masaharu
authors.initials: M
authors.lastname: Yoshihara
authors.forename: Kazuaki
authors.initials: K
authors.lastname: Chayama
mesh_terms: D003201:Computers; D003936:Diagnosis, Computer-Assisted / Q000295:instrumentation* / Q000379:methods; D003937:Diagnosis, Differential; D055088:Early Detection of Cancer / Q000295:instrumentation* / Q000379:methods; D004867:Equipment Design; D005773:Gastroscopy / Q000295:instrumentation* / Q000379:methods; D006785:Hospitals, University; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D007564:Japan; D007834:Lasers; D062048:Narrow Band Imaging / Q000295:instrumentation* / Q000379:methods; D011237:Predictive Value of Tests; D011379:Prognosis; D015203:Reproducibility of Results; D012985:Software Design; D013274:Stomach Neoplasms / Q000175:diagnosis* / Q000473:pathology; D060388:Support Vector Machine