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MRI and thallium-201 SPECT in the prediction of survival in glioma.
- Source :
- Neuroradiology; Jun2012, Vol. 54 Issue 6, p539-546, 8p
- Publication Year :
- 2012
-
Abstract
- Introduction: This paper aims to study the value of MRI and Thallium 201 (Tl) single-photon emission computed tomography (SPECT) in the prediction of overall survival (OS) in glioma patients treated with temozolomide (TMZ) and to evaluate timing of radiological follow-up. Methods: We included patients treated with TMZ chemoradiotherapy for newly diagnosed glioblastoma multiforme (GBM) and with TMZ for recurrent glioma. MRIs and Tl SPECTs were obtained at regular intervals. The value of both imaging modalities in predicting OS was examined using Cox regression analyses. Results: Altogether, 138 MRIs and 113 Tl SPECTs in 46 patients were performed. Both imaging modalities were strongly related to OS ( P ≤ 0.02). In newly diagnosed GBM patients, the last follow-up MRI (i.e., after six adjuvant TMZ courses) and SPECT (i.e., after three adjuvant TMZ courses) were the strongest predictors of OS ( P = 0.01). In recurrent glioma patients, baseline measurements appeared to be the most predictive of OS ( P < 0.01). The addition of one imaging modality to the other did not contribute to the prediction of OS. Conclusions: Both MRI and Tl SPECT are valuable in the prediction of OS. It is adequate to restrict to one of both modalities in the radiological follow-up during treatment. In the primary GBM setting, MRI after six adjuvant TMZ courses contributes significantly to the prediction of survival. In the recurrent glioma setting, baseline MRI appears to be a powerful predictor of survival, whereas follow-up MRIs during TMZ seem to be of little additional value. [ABSTRACT FROM AUTHOR]
- Subjects :
- ANTINEOPLASTIC agents
GLIOMAS
ACADEMIC medical centers
CONFIDENCE intervals
DIAGNOSTIC imaging
LONGITUDINAL method
MAGNETIC resonance imaging
RADIOISOTOPES
REGRESSION analysis
SURVIVAL
THALLIUM isotopes
POSITRON emission tomography
EQUIPMENT & supplies
PROPORTIONAL hazards models
DATA analysis software
DESCRIPTIVE statistics
PROGNOSIS
Subjects
Details
- Language :
- English
- ISSN :
- 00283940
- Volume :
- 54
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- Neuroradiology
- Publication Type :
- Academic Journal
- Accession number :
- 75447547
- Full Text :
- https://doi.org/10.1007/s00234-011-0908-5