Differentiation of metastases from high-grade gliomas using short echo time1H spectroscopy
Autor: | Mary M. Murphy, John R. Griffiths, B. Anthony Bell, Peter R. Wilkins, Franklyn A. Howe, Kirstie S. Opstad |
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Rok vydání: | 2004 |
Předmět: |
Male
Pathology medicine.medical_specialty Magnetic Resonance Spectroscopy Metabolite Sensitivity and Specificity Diagnosis Differential chemistry.chemical_compound Text mining STOMACH CARCINOMA Carcinoma Humans Medicine Radiology Nuclear Medicine and imaging Neoplasm Metastasis Peak area Lung Brain Neoplasms business.industry Middle Aged medicine.disease medicine.anatomical_structure chemistry Glioblastoma business Short echo time |
Zdroj: | Journal of Magnetic Resonance Imaging. 20:187-192 |
ISSN: | 1522-2586 1053-1807 |
DOI: | 10.1002/jmri.20093 |
Popis: | Purpose To determine if short echo time (TE) 1H magnetic resonance spectroscopy (MRS) can distinguish between intracranial metastases and glioblastomas. Materials and Methods TE 30-msec spectra were acquired (1.5 T) from voxels entirely within tumors from 23 glioblastoma patients and 24 metastases patients (3 breast carcinomas, 1 bladder carcinoma, 8 lung carcinomas, 3 probable lung carcinomas, 6 melanomas, 1 stomach carcinoma, and 2 undetermined). Spectra were analyzed quantitatively (LCModel) to determine metabolite, lipid, and macromolecule concentrations. All tumors were previously untreated and classified histopathologically. Results The lipid peak area (LPA) ratio (total peak area at ca. δ1.3 to that at ca. δ0.9) was 2.6 ± 0.6 (N = 25) for glioblastomas and 3.8 ± 1.4 (N = 34) for metastases (P < 0.0001). There were no significant differences in metabolite or lipid concentrations between the tumor groups. The LPA ratio provided 80% sensitivity and 80% specificity for discriminating metastases from glioblastomas. Conclusion Lipid and macromolecule (LM) signals can dominate 1H spectra of high-grade tumors and have characteristics that allow significant discrimination of metastases from glioblastomas. Work is now needed to determine the source and biophysical characteristics of these LM signals to further improve differentiation by optimizing the data acquisition and analysis protocol. J. Magn. Reson. Imaging 2004;20:187–192. © 2004 Wiley-Liss, Inc. |
Databáze: | OpenAIRE |
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