Using proton magnetic resonance spectroscopic imaging to predict in vivo the response of recurrent malignant gliomas to tamoxifen chemotherapy

被引:61
作者
Preul, MC
Caramanos, Z
Villemure, JG
Shenouda, G
LeBlanc, R
Langleben, A
Arnold, DL
机构
[1] McGill Univ, Magnet Resonance Spect Unit, Montreal, PQ, Canada
[2] McGill Univ, Dept Neurol, Montreal, PQ H3A 2T5, Canada
[3] McGill Univ, Dept Neurosurg, Montreal, PQ H3A 2T5, Canada
[4] McGill Univ, Dept Radiat Oncol, Montreal, PQ H3A 2T5, Canada
[5] McGill Univ, Dept Oncol, Montreal, PQ H3A 2T5, Canada
关键词
chemotherapy; glioma; magnetic resonance spectroscopy; tamoxifen;
D O I
10.1097/00006123-200002000-00009
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
OBJECTIVE: Most patients with a malignant glioma spend considerable time on a treatment protocol before their response (or nonresponse) to the therapy can be determined. Because survival time in the absence of effective therapy is short, the ability to predict the potential chemosensitivity of individual brain tumors noninvasively would represent a significant advance in chemotherapy planning. METHODS: Using proton magnetic resonance spectroscopic imaging (H-1 MRSI), we studied 16 patients with a recurrent malignant glioma before and during treatment with high-dose orally administered tamoxifen. We evaluated whether 1H MRSI data could predict eventual therapeutic response to tamoxifen at the pretreatment and early treatment stages. RESULTS: Seven patients responded to tamoxifen therapy (three with glioblastomas multiforme; four with anaplastic astrocytomas), and nine did not (six with glioblastomas multiforme; three with anaplastic astrocytomas). Responders and nonresponders exhibited no differences in their age, sex, tumor type, mean tumor volume, mean Karnofsky scale score, mean number of weeks postradiotherapy, or mean amount of prior radiation exposure. Resonance profiles across the five metabolites measured on H-1 MRSI spectra (choline-containing compounds, creatine and phosphocreatine, N-acetyl groups, lactate, and lipids) differed significantly between these two groups before and during treatment. Furthermore, linear discriminant analyses based on patients' in vivo biochemical information accurately predicted individual response to tamoxifen both before and at very early treatment stages (2 and 4 wk). Similar analyses based on patient sex, age, Karnofsky scale score, tumor type, and tumor volume could not reliably predict the response to tamoxifen treatment at the same time periods. CONCLUSION: It is possible to accurately predict the response of a tumor to tamoxifen on the basis of noninvasively acquired in vivo biochemical information. H-1 MRSI has potential as a prognostic tool in the pharmacological treatment of recurrent malignant gliomas.
引用
收藏
页码:306 / 318
页数:13
相关论文
共 59 条
  • [1] [Anonymous], 1975, Discriminant Analysis
  • [2] APUZZO MLJ, 1990, MALIGNANT CEREBRAL G, P155
  • [3] APUZZO MLJ, 1990, MALIGNANT CEREBRAL G, P111
  • [4] Arnold D L, 1990, NMR Biomed, V3, P184, DOI 10.1002/nbm.1940030407
  • [5] ARNOLD DL, 1987, CAN J NEUROL SCI, V14, P570
  • [6] EARLY METABOLIC CHANGES FOLLOWING CHEMOTHERAPY OF HUMAN GLIOMAS INVIVO DEMONSTRATED BY PHOSPHORUS MAGNETIC-RESONANCE SPECTROSCOPY
    ARNOLD, DL
    SHOUBRIDGE, EA
    EMRICH, J
    FEINDEL, W
    VILLEMURE, JG
    [J]. INVESTIGATIVE RADIOLOGY, 1989, 24 (12) : 958 - 961
  • [7] HIGH-DOSE TAMOXIFEN IN THE TREATMENT OF RECURRENT HIGH-GRADE GLIOMA - A REPORT OF CLINICAL STABILIZATION AND TUMOR-REGRESSION
    BALTUCH, G
    SHENOUDA, G
    LANGLEBEN, A
    VILLEMURE, JG
    [J]. CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES, 1993, 20 (02) : 168 - 170
  • [8] BALTUCH GH, 1993, NEUROSURGERY, V33, P495
  • [9] PROTEIN-KINASE-C AND GROWTH-REGULATION OF MALIGNANT GLIOMAS
    BALTUCH, GH
    DOOLEY, NP
    VILLEMURE, JG
    YONG, VW
    [J]. CANADIAN JOURNAL OF NEUROLOGICAL SCIENCES, 1995, 22 (04) : 264 - 271
  • [10] ANALYSIS OF MACROMOLECULE RESONANCES IN H-1-NMR SPECTRA OF HUMAN BRAIN
    BEHAR, KL
    ROTHMAN, DL
    SPENCER, DD
    PETROFF, OAC
    [J]. MAGNETIC RESONANCE IN MEDICINE, 1994, 32 (03) : 294 - 302