Examination of baseline scans from a glioma-treatment trial of the Pediatric Brain Tumor Consortium shows that the pattern and intensity of uptake in 18F FDG uptake in children diagnosed with brainstem glioma correlated with overall and progression-free survival rates.
Top news from a Jan. 27 featured radiology search on SearchMedica: nuclear
Evaluation of 18F-FDG PET and MRI Associations in Pediatric Diffuse Intrinsic Brain Stem Glioma: A Report from the Pediatric Brain Tumor ConsortiumThe Journal of Nuclear Medicine | Feb 1, 2011 (Free abstract. Full text $15)
Examination of baseline scans from a glioma-treatment trial of the Pediatric Brain Tumor Consortium shows that the pattern and intensity of uptake in 18F FDG PET scans in children diagnosed with brainstem glioma correlated with overall and progression-free survival rates.
Related content from Diagnostic Imaging:
FDG-PET/CT identifies aortic dissection
PET/CT imaging with FDG can identify when a tear in the wall of the aorta causes blood to flow between the wall's layers and forces the layers apart.
FDG-PET/CT provides added value in routine multiple imaging scans
In patients with suspected infection and no known history of cancer FDG-PET/CT can be a useful tool for localizing the infectious disease.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.