Brain Metabolic Activity Measured by [F]FDG PET/CT Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer.
2/5 보강
PICO 자동 추출 (휴리스틱, conf 3/4)
유사 논문P · Population 대상 환자/모집단
110 patients).
I · Intervention 중재 / 시술
pretreatment [F]FDG PET/CT scans between 2010 and 2023
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
Low brain metabolic activity was associated with increased mortality in patients with advanced NSCLC. Brain SUV was an independent prognostic factor that may aid in patient stratification, although its interpretation requires further investigation.
OpenAlex 토픽 ·
Radiomics and Machine Learning in Medical Imaging
Medical Imaging Techniques and Applications
Lung Cancer Diagnosis and Treatment
[F]FDG PET/CT images play a key role in the management of patients with non-small cell lung cancer (NSCLC).
- 95% CI 0.76-0.92
APA
Julie Auriac, Ghada Lemoudda, et al. (2026). Brain Metabolic Activity Measured by [F]FDG PET/CT Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer.. Journal of nuclear medicine : official publication, Society of Nuclear Medicine. https://doi.org/10.2967/jnumed.125.271400
MLA
Julie Auriac, et al.. "Brain Metabolic Activity Measured by [F]FDG PET/CT Predicts Survival in Patients with Advanced Non-Small Cell Lung Cancer.." Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2026.
PMID
41956561 ↗
Abstract 한글 요약
[F]FDG PET/CT images play a key role in the management of patients with non-small cell lung cancer (NSCLC). In these scans, the focus is on detected tumors and their characteristics, neglecting information from other organs or tissues. We investigated whether the mean brain [F]FDG uptake (brain SUV) is associated with overall survival (OS) in patients with advanced NSCLC. This retrospective study included patients with advanced NSCLC who underwent pretreatment [F]FDG PET/CT scans between 2010 and 2023. Clinical and biologic data, tumor radiomic features, and brain SUV were collected. The ability of these features to predict OS was evaluated using univariable and multivariable Cox regression models. The correlation between brain SUV and clinical, imaging, and blood biomarkers was investigated using Spearman correlation coefficients. Patients were chronologically divided into a discovery set ( = 234; mean age, 64 ± 11 y) and test set ( = 146; mean age, 66 ± 11 y). In the discovery set, univariable analysis showed that high brain SUV (greater than or equal to the median) was associated with longer OS (hazard ratio [HR], 0.83; 95% CI, 0.76-0.92; < 0.001). Brain SUV was significantly lower in patients who died within 1 y compared with those who were still alive at the same time point (median brain SUV, 4.9 ± 1.4 vs. 5.7 ± 1.5, respectively; < 0.001). Multivariable analysis revealed that brain SUV was an independent prognostic factor for OS (HR, 0.89; 95% CI, 0.80-0.98; = 0.02), which was confirmed in the test set ( < 0.001). Brain SUV was independent of the radiomic features quantifying tumor involvement ( < 0.24, = 380) and significantly correlated but complementary to several blood biomarkers including C-reactive protein ( = -0.37, = 110 patients). The prognostic significance of brain SUV persisted in patients without brain metastases ( < 0.001). Low brain metabolic activity was associated with increased mortality in patients with advanced NSCLC. Brain SUV was an independent prognostic factor that may aid in patient stratification, although its interpretation requires further investigation.
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