Ex Vivo ${1}^H$ MR Spectroscopy: Normal gastric and cancer tissue

정상 위 조직과 위암 조직의 시험관 내 수소자기공명분광

  • Cho Ji Youn (Departments of Biomedical Engineering, Inje University) ;
  • Shin Oon Jae (Diagnostic Radiology, Pusan Paik Hospital) ;
  • Choi Ki Seung (Departments of Biomedical Engineering, Inje University) ;
  • Kim Su Hyun (Departments of Biomedical Engineering, Inje University) ;
  • Eun Choong Ki (Graduate School of Medical Imaging Science and Diagnostic Radiology, College of Medicine, Inje University) ;
  • Yang Young Il (Pathology, Inje University Paik Hospital, Paik-Inje Memorial Institute) ;
  • Lee Jung Hee (NMR Laboratory of Asan Institute for Life Science, Asan Medical Center) ;
  • Mun Chi Woong (Departments of Biomedical Engineering, Inje University Graduate School of Medical Imaging Science)
  • 조지연 (인제대학교 의용공학과) ;
  • 신운재 (부산 백병원 진단방사선과) ;
  • 최기승 (인제대학교 의용공학과) ;
  • 김수현 (인제대학교 의용공학과) ;
  • 은충기 (인제대학교 의료영상과학대학원, 의과대학 진단방사선과) ;
  • 양영일 (인제대학교 백병원 병리학교실, 백인제 기념연구소) ;
  • 이정희 (서울아산병원 아산생명과학연구소 NMR 연구실) ;
  • 문치웅 (인제대학교 의용공학과, 의료영상과학대학원)
  • Published : 2003.09.01

Abstract

Purpose: In this study, we attempted to ascertain the proton magnetic resonance spectroscopy (${1}^H$ MRS) peak characteristics of human gastric tissue layers and finally to use the metabolic peaks of MRS to distinguish between normal and abnormal gastric specimens. Materials and Methods: Ex-vivo ${1}^H$ MRS examinations of thirty-five gastric specimens were performed to distinguish abnormal gastric tissues invaded by carcinoma cells from normal stomach-wall tissues. High-resolution 400-MHz (9.4-T) ${1}^H$ nuclear magnetic resonance (NMR) spectra of two gastric layers, a proper muscle layer, and a composite mucosasubmucosa layer were compared with those of clinical 64- MHz (1.5-T) MR spectra. Three-dimensional spoiled gradient recalled (SPGR) images were used to determine the size and the position of a voxel for MRS data collection. Results: For normal gastric tissue layers, the metabolite peaks of 400-MHz ${1}^H$ MRS were primarily found to be as follows: lipids at 0.9 ppm and 1.3 ppm; alanine at 1.58 ppm; N-acetyl neuraminic acid (sialic acid) at 2.03 ppm; and glutathione at 2.25 ppm in common. The broad and featureless featureless spectral peaks of the 64-MHz MRS were bunched near 0.9, 1.3, and 2.0, and 2.2 ppm in human specimens without respect to layers. In a specimen (Borrmmann type III) with a tubular adenocarcinoma, the resonance peaks were measured at 1.26, 1.36 and 3.22 ppm. All the peak intensities of the spectrum of the normal gastric tissue were reduced, but for gastric tumor tissue layers, the lactate peak split into 1.26 and 1.39 ppm, and the peak intensity of choline at 3.21 ppm was increased. Conclusion: We found that decreasing lipids, an increasing lactate peak that split into two peaks, 1.26 ppm and 1.36 ppm, and an increasing choline peak at 3.22 ppm were markers of tumor invasion into the gastric tissue layers. This study implies that MR spectroscopy can be a useful diagnostic tool for gastric cancer.

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