Object: The aim of this study was to compare the contribution of the tracers 11C-methionine (Met) and 18F-fluorodeoxy-glucose (FDG) in positron emission tomography (PET)-guided stereotactic brain biopsy.
Methods: Forty-five patients underwent combined Met-PET and FDG-PET studies associated with computerized tomography (CT)- or magnetic resonance (MR)-guided stereotactic biopsy. Each patient presented with a lesion that was in proximity to the cortical or subcortical gray matter. The Met-PET and FDG-PET scans were analyzed to determine which tracer offers the best information to guide at least one stereotactic biopsy trajectory. Histologically based diagnoses were rendered in all patients (39 tumors, six nontumorous lesions) and biopsies were performed in all tumors with the aid of PET guidance. When tumor FDG uptake was higher than that in the gray matter (18 tumors), FDG was used for target definition. When FDG uptake was absent or equivalent to that in the gray matter (21 tumors), Met was used for target definition. Parallel review of all histological and imaging data showed that all tumors had an area of abnormal Met uptake and 33 had abnormal FDG uptake. All six nontumorous lesions had no Met uptake and biopsies were performed using CT or MR guidance only. All tumor trajectories had an area of abnormal Met uptake; all nondiagnostic trajectories in tumors had no abnormal Met uptake.
Conclusions: When FDG shows limitations in target selection, Met is a good alternative because of its high specificity in tumors. Moreover, in the context of a single-tracer procedure and regardless of FDG uptake, Met is a better choice for PET guidance in neurosurgical procedures.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3171/jns.2004.101.3.0476 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Relationship between muscular mass, inflammatory status, tumor metabolic activity and oral intake in head and neck cancer at the outset of management.
Clin Nutr ESPEN
January 2025
Service d'orl et chirurgie cervico-faciale, CHU de Clermont-Ferrand, 58 rue Montalembert, 63000 Clermont-Ferrand, France; Unité de Nutrition Humaine (UNH), Université Clermont Auvergne, INRAE, CRNH Auvergne, 58 rue Montalembert, 63000 Clermont-Ferrand, France. Electronic address:
Background And Aims: Patients with head and neck cancer (HNC) are often malnourished with a low muscular mass at the outset of management. This is thought to be mainly due to poor nutritional intake. The aim of this study was to assess the correlation between tumor metabolic activity, inflammatory status and body composition in HNC patients.
View Article and Find Full Text PDFCombined Klippel-Feil syndrome, Sprengel deformity, and diffuse large B-cell lymphoma: A rare case report.
Radiol Case Rep
March 2025
Loyola University Medical Center and Loyola University Chicago, 2160 S First Ave, Maywood, IL 60153, USA.
Klippel-Feil syndrome (KFS) is a rare congenital disorder characterized by the fusion of cervical vertebrae, with a clinical presentation that can vary widely due to genetic and phenotypic diversity. While KFS can occur as an isolated anomaly, it is often associated with other congenital conditions, such as Sprengel deformity, which may present with or without an omovertebral bone, complicating diagnosis and management. This particular case also involves diffuse large B-cell lymphoma (DLBCL), the most common subtype of non-Hodgkin lymphoma.
View Article and Find Full Text PDFDiffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma, and a sizable fraction of the DLBCL patients presents with advanced, relapsed, and refractory disease, demonstrating poor response to standard chemotherapy regimens. Radioimmunotherapy (RIT) has shown to be clinically effective in refractory DLBCL. We present the case of a patient with DLBCL with [18F]FDG-avid widespread skeletal as well as splenic involvement as poor prognostic extranodal disease on FDG PET/CT.
View Article and Find Full Text PDFF-FDG PET/CT radiomic analysis and artificial intelligence to predict pathological complete response after neoadjuvant chemotherapy in breast cancer patients.
Radiol Med
January 2025
Department of Translational Medicine, University of Ferrara, Ferrara, Italy.
Purpose: Build machine learning (ML) models able to predict pathological complete response (pCR) after neoadjuvant chemotherapy (NAC) in breast cancer (BC) patients based on conventional and radiomic signatures extracted from baseline [F]FDG PET/CT.
Material And Methods: Primary tumor and the most significant lymph node metastasis were manually segmented in baseline [F]FDG PET/CT of 52 newly diagnosed BC patients. Clinical parameters, NAC and conventional semiquantitative PET parameters were collected.
F-18 FDG PET/CT based Preoperative Machine Learning Prediction Models for Evaluating Regional Lymph Node Metastasis Status of Patients with Colon Cancer.
Asian Pac J Cancer Prev
January 2025
Department of Nuclear Medicine, Busan Paik Hospital, University of Inje College of Medicine, Busan, Republic of Korea.
Objective: This study aimed to develop a simple machine-learning model incorporating lymph node metastasis status with F-18 Fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) and clinical information for predicting regional lymph node metastasis in patients with colon cancer.
Methods: This retrospective study included 193 patients diagnosed with colon cancer between January 2014 and December 2017. All patients underwent F-18 FDG PET/CT and blood test before surgery.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!