ArticleJAMA surgery2018
Assessment of Fluorodeoxyglucose F18-Labeled Positron Emission Tomography for Diagnosis of High-Risk Lung Nodules.
Article in JAMA surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 41 citations in OpenAlex.
- Clinico-biological-radiomics (CBR) based machine learning for improving the diagnostic accuracy of FDG-PET false-positive lymph nodes in lung cancer.European journal of medical research · 2023Trial
- Radiomic 'Stress Test': exploration of a deep learning radiomic model in a high-risk prospective lung nodule cohort.BMJ open respiratory research · 2025Article
- Validation of a High-Specificity Blood Autoantibody Test to Detect Lung Cancer in Pulmonary Nodules.CHEST pulmonary · 2025Article
- Comparison of the diagnostic accuracy betweenJournal of thoracic disease · 2025Article
- Monoexponential, biexponential, stretched exponential and diffusion kurtosis models of diffusion-weighted imaging: a quantitative differentiation of solitary pulmonary lesion.BMC medical imaging · 2024Article
- Analytical validation of the LungLB test: a 4-color fluorescence in-situ hybridization assay for the evaluation of indeterminate pulmonary nodules.BMC pulmonary medicine · 2024Article
- Assessing the transportability of radiomic models for lung cancer diagnosis: commercialTranslational lung cancer research · 2024Article
- A deep learning-based radiomics model for predicting lymph node status from lung adenocarcinoma.BMC medical imaging · 2024Article
- Current and Future Perspectives on Computed Tomography Screening for Lung Cancer: A Roadmap From 2023 to 2027 From the International Association for the Study of Lung Cancer.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2024Review
- Assessing a biomarker's ability to reduce invasive procedures in patients with benign lung nodules: Results from the ORACLE study.PloS one · 2023Observational
- Long Axial Field-of-View PET for Ultra-Low-Dose Imaging of Non-Hodgkin Lymphoma during Pregnancy.Diagnostics (Basel, Switzerland) · 2022Article
- Classification of solid pulmonary nodules using a machine-learning nomogram based onAnnals of translational medicine · 2022Article
- Higher accuracy of [European journal of nuclear medicine and molecular imaging · 2022Article
- Quantitative assessment of intratumoral 2-[Quantitative imaging in medicine and surgery · 2022Article
- Effects of Glucose Metabolism, Lipid Metabolism, and Glutamine Metabolism on Tumor Microenvironment and Clinical Implications.Biomolecules · 2022Review
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- Integrated Biomarkers for the Management of Indeterminate Pulmonary Nodules.American journal of respiratory and critical care medicine · 2021Article
- Macrovasculature and positron emission tomography (PET) standardized uptake value in patients with lung cancer.Medical physics · 2021Article
- Characterization ofQuantitative imaging in medicine and surgery · 2021Article
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Authors and funding
13 authors at 5 institutions in 1 country.
Funding
Abstract
Importance: Clinicians rely heavily on fluorodeoxyglucose F18-labeled positron emission tomography (FDG-PET) imaging to evaluate lung nodules suspicious for cancer. We evaluated the performance of FDG-PET for the diagnosis of malignancy in differing populations with varying cancer prevalence. Objective: To determine the performance of FDG-PET/computed tomography (CT) in diagnosing lung malignancy across different populations with varying cancer prevalence. Design, Setting, and Participants: Multicenter retrospective cohort study at 6 academic medical centers and 1 Veterans Affairs facility that comprised a total of 1188 patients with known or suspected lung cancer from 7 different cohorts from 2005 to 2015. Exposures: 18F fluorodeoxyglucose PET/CT imaging. Main Outcome and Measures: Final diagnosis of cancer or benign disease was determined by pathological tissue diagnosis or at least 18 months of stable radiographic follow-up. Results: Most patients were male smokers older than 60 years. Overall cancer prevalence was 81% (range by cohort, 50%-95%). The median nodule size was 22 mm (interquartile range, 15-33 mm). Positron emission tomography/CT sensitivity and specificity were 90.1% (95% CI, 88.1%-91.9%) and 39.8% (95% CI, 33.4%-46.5%), respectively. False-positive PET scans occurred in 136 of 1188 patients. Positive predictive value and negative predictive value were 86.4% (95% CI, 84.2%-88.5%) and 48.7% (95% CI, 41.3%-56.1%), respectively. On logistic regression, larger nodule size and higher population cancer prevalence were both significantly associated with PET accuracy (odds ratio, 1.027; 95% CI, 1.015-1.040 and odds ratio, 1.030; 95% CI, 1.021-1.040, respectively). As the Mayo Clinic model-predicted probability of cancer increased, the sensitivity and positive predictive value of PET/CT imaging increased, whereas the specificity and negative predictive value dropped. Conclusions and Relevance: High false-positive rates were observed across a range of cancer prevalence. Normal PET/CT scans were not found to be reliable indicators of the absence of disease in patients with a high probability of lung cancer. In this population, aggressive tissue acquisition should be prioritized using a comprehensive lung nodule program that emphasizes advanced tissue acquisition techniques such as CT-guided fine-needle aspiration, navigational bronchoscopy, and endobronchial ultrasonography.
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