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Integration method of 3D MR spectroscopy into treatment planning system for glioblastoma IMRT dose painting with integrated simultaneous boost

Authors :
Ken Soléakhéna
Vieillevigne Laure
Franceries Xavier
Simon Luc
Supper Caroline
Lotterie Jean-Albert
Filleron Thomas
Lubrano Vincent
Berry Isabelle
Cassol Emmanuelle
Delannes Martine
Celsis Pierre
Cohen-Jonathan Elizabeth Moyal
Laprie Anne
Source :
Radiation Oncology, Vol 8, Iss 1, p 1 (2013)
Publication Year :
2013
Publisher :
BMC, 2013.

Abstract

Abstract Background To integrate 3D MR spectroscopy imaging (MRSI) in the treatment planning system (TPS) for glioblastoma dose painting to guide simultaneous integrated boost (SIB) in intensity-modulated radiation therapy (IMRT). Methods For sixteen glioblastoma patients, we have simulated three types of dosimetry plans, one conventional plan of 60-Gy in 3D conformational radiotherapy (3D-CRT), one 60-Gy plan in IMRT and one 72-Gy plan in SIB-IMRT. All sixteen MRSI metabolic maps were integrated into TPS, using normalization with color-space conversion and threshold-based segmentation. The fusion between the metabolic maps and the planning CT scans were assessed. Dosimetry comparisons were performed between the different plans of 60-Gy 3D-CRT, 60-Gy IMRT and 72-Gy SIB-IMRT, the last plan was targeted on MRSI abnormalities and contrast enhancement (CE). Results Fusion assessment was performed for 160 transformations. It resulted in maximum differences p Conclusions Delivering standard doses to conventional target and higher doses to new target volumes characterized by MRSI and CE is now possible and does not increase dose to organs at risk. MRSI and CE abnormalities are now integrated for glioblastoma SIB-IMRT, concomitant with temozolomide, in an ongoing multi-institutional phase-III clinical trial. Our method of MR spectroscopy maps integration to TPS is robust and reliable; integration to neuronavigation systems with this method could also improve glioblastoma resection or guide biopsies.

Details

Language :
English
ISSN :
1748717X
Volume :
8
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Radiation Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.4e3c406020a54258a05aebebe82a2cd8
Document Type :
article
Full Text :
https://doi.org/10.1186/1748-717X-8-1