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Diagnostic Performance of Fluorine-18 Fluorodeoxyglucose Positron Emission Tomography in the Management of Solitary Pulmonary Nodule: a Meta-analysis

Overview
Journal J Thorac Dis
Specialty Pulmonary Medicine
Date 2018 May 22
PMID 29780624
Citations 10
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Abstract

Background: In the setting of solitary pulmonary nodules (SPNs), fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography (F-FDG-PET/CT) is considered a useful non-invasive diagnostic tool though false positive (FP) and false negative (FN) results affects accuracy due to different conditions, such as inflammatory diseases or low-uptake neoplasms. Aim of this study is to evaluate overall diagnostic performance of F-FDG-PET/CT for malignant pulmonary nodules.

Methods: A computerized research, including published articles from 2012 and 2017, was carried out. F-FDG-PET/CT overall sensitivity (Se), specificity (Spe), positive likelihood ratio (PLR), negative likelihood ratio (NLR), positive predictive value (PPV), negative predictive value (NPV), diagnostic index and odds ratio were pooled. No selection-bias were found according to asymmetry test.

Results: A total of twelve studies were included in the meta-analysis. The pooled Se, Spe, PLR, NLR, PPV, NPV and accuracy index (AI) with relative 95% confidence intervals (CI) were 0.819 (95% CI: 0.794-0.843), 0.624 (95% CI: 0.582-0.665), 2.190 (95% CI: 1.950-2.440), 0.290 (95% CI: 0.250-0.330), 0.802 (95% CI: 0.783-0.819), 0.652 (95% CI: 0.618-0.684) and 0.649 (95% CI: 0.625-0.673), respectively. The diagnostic odds ratio (DOR) was 7.049 with a relative 95% CI between 5.550 and 8.944.

Conclusions: The results suggest F-FDG-PET/CT has good diagnostic accuracy in SPNs evaluation; but, it should not be considered as a discriminatory test rather than a method to be included in a clinical and diagnostic pathway.

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References
1.
Detterbeck F, Zelman Lewis S, Diekemper R, Addrizzo-Harris D, Alberts W . Executive Summary: Diagnosis and management of lung cancer, 3rd ed: American College of Chest Physicians evidence-based clinical practice guidelines. Chest. 2013; 143(5 Suppl):7S-37S. DOI: 10.1378/chest.12-2377. View

2.
Bai C, Choi C, Chu C, Anantham D, Ho J, Khan A . Evaluation of Pulmonary Nodules: Clinical Practice Consensus Guidelines for Asia. Chest. 2016; 150(4):877-893. DOI: 10.1016/j.chest.2016.02.650. View

3.
Gohagan J, Marcus P, Fagerstrom R, Pinsky P, Kramer B, Prorok P . Baseline findings of a randomized feasibility trial of lung cancer screening with spiral CT scan vs chest radiograph: the Lung Screening Study of the National Cancer Institute. Chest. 2004; 126(1):114-21. DOI: 10.1378/chest.126.1.114. View

4.
Cronin P, Dwamena B, Kelly A, Bernstein S, Carlos R . Solitary pulmonary nodules and masses: a meta-analysis of the diagnostic utility of alternative imaging tests. Eur Radiol. 2008; 18(9):1840-56. DOI: 10.1007/s00330-008-0970-5. View

5.
Erasmus J, McAdams H, Patz Jr E, Coleman R, Ahuja V, Goodman P . Evaluation of primary pulmonary carcinoid tumors using FDG PET. AJR Am J Roentgenol. 1998; 170(5):1369-73. DOI: 10.2214/ajr.170.5.9574618. View