Integrated positron emission tomography and magnetic resonance imaging–guided resection of brain tumors: a report of 103 consecutive procedures
Search for other papers by Benoît Pirotte in
Current site
Google Scholar
PubMed
Search for other papers by Serge Goldman in
Current site
Google Scholar
PubMed
Search for other papers by Olivier Dewitte in
Current site
Google Scholar
PubMed
Search for other papers by Nicolas Massager in
Current site
Google Scholar
PubMed
Search for other papers by David Wikler in
Current site
Google Scholar
PubMed
Search for other papers by Florence Lefranc in
Current site
Google Scholar
PubMed
Search for other papers by Nordeyn Oulad Ben Taib in
Current site
Google Scholar
PubMed
Search for other papers by Sandrine Rorive in
Current site
Google Scholar
PubMed
Search for other papers by Philippe David in
Current site
Google Scholar
PubMed
Search for other papers by Jacques Brotchi in
Current site
Google Scholar
PubMed
Search for other papers by Marc Levivier in
Current site
Google Scholar
PubMed
Object
The aim of this study was to evaluate the integration of positron emission tomography (PET) scanning data into the image-guided resection of brain tumors.
Methods
Positron emission tomography scans obtained using fluorine-18 fluorodeoxyglucose (FDG) and l-[methyl-11C]methionine (MET) were combined with magnetic resonance (MR) images in the navigational planning of 103 resections of brain tumors (63 low-grade gliomas [LGGs] and 40 high-grade gliomas [HGGs]). These procedures were performed in 91 patients (57 males and 34 females) in whom tumor boundaries could not be accurately identified on MR images for navigation-based resection. The level and distribution of PET tracer uptake in the tumor were analyzed to define the lesion contours, which in turn yielded a PET volume. The PET scanning–demonstrated lesion volume was subsequently projected onto MR images and compared with MR imaging data (MR volume) to define a final target volume for navigation-based resection—the tumor contours were displayed in the microscope’s eyepiece. Maximal tumor resection was accomplished in each case, with the intention of removing the entire area of abnormal metabolic activity visualized during surgical planning. Early postoperative MR imaging and PET scanning studies were performed to assess the quality of tumor resection. Both pre- and postoperative analyses of MR and PET images revealed whether integrating PET data into the navigational planning contributed to improved tumor volume definition and tumor resection.
Metabolic information on tumor heterogeneity or extent was useful in planning the surgery. In 83 (80%) of 103 procedures, PET studies contributed to defining a final target volume different from that obtained with MR imaging alone. Furthermore, FDG-PET scanning, which was performed in a majority of HGG cases, showed that PET volume was less extended than the MR volume in 16 of 21 cases and contributed to targeting the resection to the hypermetabolic (anaplastic) area in 11 (69%) of 16 cases. Performed in 59 LGG cases and 23 HGG cases, MET-PET demonstrated that the PET volume did not match the MR volume and improved the tumor volume definition in 52 (88%) of 59 and 18 (78%) of 23, respectively. Total resection of the area of increased PET tracer uptake was achieved in 54 (52%) of 103 procedures.
Conclusions
Imaging guidance with PET scanning provided independent and complementary information that helped to assess tumor extent and plan tumor resection better than with MR imaging guidance alone. The PET scanning guidance could help increase the amount of tumor removed and target image-guided resection to tumor portions that represent the highest evolving potential.
Abbreviations used in this paper:
CT = computerized tomography; FDG = fluorine-18 fluorodeoxyglucose; FLAIR = fluid-attenuated inversion-recovery; FTV = final target volume; Gd-DTPA = gadolinium diethylenetriamine pentaacetic acid; HGG = high-grade glioma; LGG = low-grade glioma; MET = l-[methyl-11C]methionine; MR = magnetic resonance; PET = positron emission tomography; WHO = World Health Organization; 3D = three-dimensional.
© Copyright 1944-2023 American Association of Neurological Surgeons