PURPOSE: To evaluate the role of 3D MR spectroscopic imaging (MRSI) as a tool for characterizing heterogeneity within a lesion in glioma patients. MATERIALS AND METHODS: Forty-nine patients with newly diagnosed glioma were studied with 3D water-suppressed proton (1-H) MRSI. Signal intensities from choline (Cho), creatine (Cr), N-acytel aspartate (NAA), and lactate/lipid (LL) were estimated from the spectra. Regions of interest (ROIs) corresponding to the metabolic abnormalities were defined and compared with the anatomic lesions. RESULTS: This study showed that the tumor burden measured with either the volumes of the metabolic abnormalities or the metabolic levels in the most abnormal voxels was correlated with the degree of malignancy of the tumor. The volumes of elevated Cho and decreased NAA were useful for distinguishing low-grade from high-grade lesions. The volume of abnormal LL was correlated with the existence of necrosis and with the volume of contrast-enhancing lesions in high-grade lesions. The differences in the volume of abnormal LL were also statistically significant between patients in each grade. CONCLUSION: These 3D-MRSI data provide important additional information to conventional MRI for evaluating and characterizing gliomas. Copyright 2002 Wiley-Liss, Inc.
PURPOSE: To evaluate the role of 3D MR spectroscopic imaging (MRSI) as a tool for characterizing heterogeneity within a lesion in gliomapatients. MATERIALS AND METHODS: Forty-nine patients with newly diagnosed glioma were studied with 3D water-suppressed proton (1-H) MRSI. Signal intensities from choline (Cho), creatine (Cr), N-acytel aspartate (NAA), and lactate/lipid (LL) were estimated from the spectra. Regions of interest (ROIs) corresponding to the metabolic abnormalities were defined and compared with the anatomic lesions. RESULTS: This study showed that the tumor burden measured with either the volumes of the metabolic abnormalities or the metabolic levels in the most abnormal voxels was correlated with the degree of malignancy of the tumor. The volumes of elevated Cho and decreased NAA were useful for distinguishing low-grade from high-grade lesions. The volume of abnormal LL was correlated with the existence of necrosis and with the volume of contrast-enhancing lesions in high-grade lesions. The differences in the volume of abnormal LL were also statistically significant between patients in each grade. CONCLUSION: These 3D-MRSI data provide important additional information to conventional MRI for evaluating and characterizing gliomas. Copyright 2002 Wiley-Liss, Inc.
Authors: Erika R Amstalden van Hove; Tiffany R Blackwell; Ivo Klinkert; Gert B Eijkel; Ron M A Heeren; Kristine Glunde Journal: Cancer Res Date: 2010-11-02 Impact factor: 12.701
Authors: Xiaojuan Li; Daniel B Vigneron; Soonmee Cha; Edward E Graves; Forrest Crawford; Susan M Chang; Sarah J Nelson Journal: AJNR Am J Neuroradiol Date: 2005-04 Impact factor: 3.825
Authors: Barjor Gimi; Arvind P Pathak; Ellen Ackerstaff; Kristine Glunde; Dmitri Artemov; Zaver M Bhujwalla Journal: Proc IEEE Inst Electr Electron Eng Date: 2005-04-01 Impact factor: 10.961
Authors: H Fudaba; T Shimomura; T Abe; H Matsuta; Y Momii; K Sugita; H Ooba; T Kamida; T Hikawa; M Fujiki Journal: AJNR Am J Neuroradiol Date: 2014-07-03 Impact factor: 3.825
Authors: Esin Ozturk-Isik; Albert P Chen; Jason C Crane; Wei Bian; Duan Xu; Eric T Han; Susan M Chang; Daniel B Vigneron; Sarah J Nelson Journal: Magn Reson Imaging Date: 2009-09-19 Impact factor: 2.546