Abstract

Purpose: Multi-tracer neuroimaging is widely used for the diagnosis, radiotherapy, and neuro-surgery of brain gliomas. Anatomical and functional information is important to avoid having neurological deficits induced during the resection or radiation therapy of brain gliomas. The aim of this study was to investigate presurgical anatomical labeling of brain gliomas on FLT and FET using statistical probabilistic anatomic maps (SPAM), which are images of cerebral cortical, cerebellar, and subcortical volumes of interest (VOIs). Methods: FDG, FLT, and FET PET scans were acquired. FLT and FET PET images were coregistered to the FDG PET images, which were then spatially normalized onto the target brain. An inverse spatial normalization parameter was calculated and applied to SPAM. For the anatomical labeling of brain glioma regions, the volumes of brain gliomason FLT and FET images were extracted using segmentation. Probabilistic information of the glioma region was then calculated using SPAM and the segmented glioma volumes. SPM and an in-house program were used for image processing. Results: The probability of SPAM labeling a brain glioma region could be extracted using the inverse normalized SPAM and segmented glioma regions. In a sample case, the probabilistic anatomical region of the glioma included 21% of the postcentral gyrus, 12% of the superior parietal gyrus, and 6% of the angular gyrus. Conclusion: Anatomical information about brain gliomas could be extracted using SPAM. This proposed method would be optional for presurgical mapping, to avoid an additional functional mapping study that might otherwise be necessary to avoid producing neurological deficits.

Highlights

  • Brain tumors are the most common solid tumors, and are typically evaluated by 18F FDG PET (FDG) or by combined FDG and MR imaging [1]

  • We developed a statistical probabilistic anatomic maps (SPAM)-assisted presurgical evaluation of brain tumors using the inverse spatial normalization mapping technique provided in the SPM software’s toolbox

  • The FDG PET image was spatially normalized onto the target brain and the inverse spatial normalization parameter was calculated

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Summary

Introduction

Brain tumors are the most common solid tumors, and are typically evaluated by 18F FDG PET (FDG) or by combined FDG and MR imaging [1]. 3’-deoxy-3’-[18F] fluorothymidine (FLT) PET has been found useful for the noninvasive grading of gliomas, their prognostic assessment, and evaluation of response to malignant glioma treatments [3]. Presurgical evaluation of language in brain tumor patients is important. Functional magnetic resonance imaging is used to assess laterality in preoperative brain tumor cases [5]-[7]. Navigated transcranial magnetic stimulation (nTMS) is increasingly used in presurgical brain mapping. Preoperative nTMS results correlate well with direct cortical stimulation (DCS) data in the identification of the primary motor cortex [8]

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