Covariate adjustment in partial least squares (PLS) regression for the extraction of the spatial–temporal pattern from positron emission tomography data

2007 ◽  
Vol 4 (1) ◽  
pp. 44-63
Author(s):  
Lei Xu ◽  
Sati Mazumdar ◽  
Julie Price
2006 ◽  
Vol 65 (3) ◽  
pp. 293-296 ◽  
Author(s):  
Frank Van Calenbergh ◽  
Nikolaas Vantomme ◽  
Patrick Flamen ◽  
Philippe Demaerel ◽  
Raf Sciot ◽  
...  

2000 ◽  
Vol 93 (supplement_3) ◽  
pp. 233-238 ◽  
Author(s):  
Marc Levivier ◽  
David Wikier ◽  
Serge Goldman ◽  
Philippe David ◽  
Thierry Metens ◽  
...  

✓ The purpose of this study was to assess the use of positron emission tomography (PET) as a stereotactic planning modality for gamma knife radiosurgery (GKS). The authors developed and validated a technique for fiducial marker imaging, importation, and handling of PET data for integration into GammaPlan planning software. The clinical feasibility in applying this approach to a selected group of patients presenting with recurrent glial tumors or metastases was evaluated. Positron emission tomography data can be integrated into GammaPlan, allowing a high spatial accuracy, as validated using a phantom. Positron emission tomography data were successfully combined with magnetic resonance (MR) images to define the target volume for the radiosurgical treatment of patients with recurrent glioma or metastasis. This approach may contribute to optimizing target selection for infiltrating or ill-defined brain lesions. Because PET is also useful for the pretreatment and follow-up evaluation, the use of stereotactic PET in these patients can enable an accurate comparison of PET-based metabolic data with MR-based anatomical data. This could give a better understanding of the metabolic changes following radiosurgery. The ability to use PET data in GKS represents a crucial step toward further developments in radiosurgery, as this approach provides additional information that may open new perspectives for the optimization of the treatment of brain tumors.


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