Abstract
Purpose: The purpose of this work was to define the optimal margins for gadolinium-enhanced T 1-weighted magnetic resonance imaging (Gd-MRI) and T 2-weighted MRI (T 2-MRI) for delineating target volumes in planning radiation therapy for postoperative patients with newly diagnosed glioblastoma multiforme (GBM) by comparison to carbon-11-labeled methionine positron emission tomography ([ 11C]MET-PET) findings. Methods and Materials: Computed tomography (CT), MRI, and [ 11C]MET- PET were separately performed for radiation therapy planning for 32 patients newly diagnosed with GBM within 2 weeks after undergoing surgery. The extent of Gd-MRI (Gd-enhanced clinical target volume [CTV-Gd]) uptake and that of T 2-MRI of the CTV (CTV-T 2) were compared with the extent of [ 11C]MET-PET (CTV - [ 11C]MET-PET) uptake by using CT - MRI or CT - [ 11C]MET-PET fusion imaging. We defined CTV-Gd (x mm) and CTV-T 2 (x mm) as the x-mm margins (where x = 0, 2, 5, 10, and 20 mm) outside the CTV-Gd and the CTV-T 2, respectively. We evaluated the relationship between CTV-Gd (x mm) and CTV - [ 11C]MET-PET and the relationship between CTV-T 2 (x mm) and CTV - [ 11C]MET-PET. Results: The sensitivity of CTV-Gd (20 mm) (86.4%) was significantly higher than that of the other CTV-Gd. The sensitivity of CTV-T 2 (20 mm) (96.4%) was significantly higher than that of the other CTV-T 2 (x = 0, 2, 5, 10 mm). The highest sensitivity and lowest specificity was found with CTV-T 2 (x = 20 mm). Conclusions: It is necessary to use a margin of at least 2 cm for CTV-T 2 for the initial target planning of radiation therapy. However, there is a limit to this setting in defining the optimal margin for Gd-MRI and T 2-MRI for the precise delineation of target volumes in radiation therapy planning for postoperative patients with GBM.
| Original language | English |
|---|---|
| Pages (from-to) | 83-89 |
| Number of pages | 7 |
| Journal | International Journal of Radiation Oncology Biology Physics |
| Volume | 82 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 01-01-2012 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Radiation
- Oncology
- Radiology Nuclear Medicine and imaging
- Cancer Research
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