In vivo 31P MR spectral patterns and reproducibility in cancer patients studied in a multi-institutional trial.

Publication Type Academic Article
Authors Arias-Mendoza F, Payne G, Zakian K, Schwarz A, Stubbs M, Stoyanova R, Ballon D, Howe F, Koutcher J, Leach M, Griffiths J, Heerschap A, Glickson J, Nelson S, Evelhoch J, Charles H, Brown T
Journal NMR Biomed
Volume 19
Issue 4
Pagination 504-12
Date Published 06/01/2006
ISSN 0952-3480
Keywords Biomarkers, Tumor, Diagnosis, Computer-Assisted, Magnetic Resonance Spectroscopy, Neoplasms, Phosphorus Compounds
Abstract The standardization and reproducibility of techniques required to acquire anatomically localized 31P MR spectra non-invasively while studying tumors in cancer patients in a multi-institutional group at 1.5 T are reported. This initial group of patients was studied from 1995 to 2000 to test the feasibility of acquiring in vivo localized 31P MRS in clinical MR spectrometers. The cancers tested were non-Hodgkin's lymphomas, sarcomas of soft tissue and bone, breast carcinomas and head and neck carcinomas. The best accrual and spectral quality were achieved with the non-Hodgkin's lymphomas. The initial analysis of the spectral values of the sum of phosphoethanolamine plus phosphocholine normalized by the content of nucleotide triphosphates in a homogeneous sample of 32 NHL patients studied by in vivo (31)P MRS showed good reproducibility among different institutions. No statistical differences were found between the institution with the largest number of cases accrued and the rest of the multi-institutional NHL data (2.28 +/- 0.64, mean +/- standard error; n = 17, vs 2.08 +/- 0.14, n = 15). The preliminary data reported demonstrate that the institutions involved in this trial are obtaining reproducible 31P MR spectroscopic data non-invasively from human tumors. This is a fundamental prerequisite for the international cooperative group to be able to demonstrate the clinical value of the normalized determination of phosphoethanolamine plus phosphocholine by 31P MRS as predictor for treatment response in cancer patients.
DOI 10.1002/nbm.1057
PubMed ID 16763965
Back to Top