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Differentiation between malignancy and inflammation in pulmonary ground-glass nodules: The feasibility of integrated 18F-FDG PET/CT

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dc.contributor.authorChun, Eun Ju-
dc.contributor.authorLee, Hyun Ju-
dc.contributor.authorKang, Won Jun-
dc.contributor.authorKim, Kwang Gi-
dc.contributor.authorGoo, Jin Mo-
dc.contributor.authorPark, Chang Min-
dc.contributor.authorLee, Chang Hyun-
dc.date.accessioned2024-08-08T01:48:20Z-
dc.date.available2024-08-08T01:48:20Z-
dc.date.created2024-07-25-
dc.date.created2024-07-25-
dc.date.issued2009-
dc.identifier.citationLung Cancer, Vol.65 No.2, pp.180-186-
dc.identifier.issn0169-5002-
dc.identifier.urihttps://hdl.handle.net/10371/208293-
dc.description.abstractBackground: 18F-FDG PET/CT has been used to differentiate malignant solid lung nodules from benign nodules. We assess the feasibility of integrated 18F-FDG PET/CT for the differentiation of malignancy from inflammation manifested as ground-glass nodules (GGNs) on chest CT. Methods: A total of 68 GGNs in 45 patients (M:F = 24:21; mean age, 61) fulfilled the following criteria: (a) nodules composed of ≥50% ground-glass opacity, (b) patients who underwent integrated PET/CT within 1 week following dedicated chest CT, (c) definitive diagnosis determined by pathological specimen or at least 9 months of follow-up, and (d) lesions ≥10 mm in diameter. 36 malignant GGNs were pathologically proved as adenocarcinoma (n = 20), bronchioloalveolar carcinoma (n = 11), low-grade lymphoma (n = 3), metastatic mucinous adenocarcinoma (n = 1) and unknown low-grade malignancy (n = 1). 32 inflammatory GGNs were confirmed as pneumonic infiltration as they had disappeared on follow-up CT and were associated with compatible clinical features (n = 26) or as chronic inflammation with fibrosis by VATS biopsy (n = 6). Using CT density histogram analysis, 14 were classified as pure GGNs and 54 as part-solid nodules. Integrated PET/CT was evaluated by measuring the maximum standardized uptake value (SUV) at the region of interest located at each lesion. The Mann-Whitney U test was performed to compare the SUV of malignancy and inflammation. The optimal cut-off value of SUV to differentiate malignancy from inflammation was determined using a receiver operating characteristic-based positive test. Sensitivity, specificity, accuracy, and positive predictive values (PPV) and negative predictive values (NPV) were calculated at the level of the optimal cut-off value. SUV showing 100% PPV for inflammatory GGNs was evaluated. Results: In part-solid nodules, the maximum SUV was significantly higher in inflammation (2.00 ± 1.18; range, 0.48-5.60) than in malignancy (1.26 ± 0.71; range, 0.32-2.6) (P = 0.018). On the other hand, in pure GGNs, the maximum SUV of malignancy (0.64 ± 0.19; range, 0.43-0.96) and inflammation (0.74 ± 0.28; range, 0.32-1.00) showed no difference (P = 0.37). Using the optimal cut-off value of SUV as 1.2 (P = 0.01) sensitivity, specificity, accuracy, PPV and NPV in part-solid nodules were 62.1%, 80.0%, 70.4%, 78.3% and 64.5%, respectively. Six part-solid nodules, which showed a maximum SUV of higher than 2.6, were all inflammations. Conclusion: The part-solid nodules with positive FDG-PET could be inflammatory nodules rather than malignant nodules. This is a quite paradoxical result when considering the basic knowledge that malignant pulmonary nodules have higher glucose metabolism. © 2008 Elsevier Ireland Ltd. All rights reserved.-
dc.language영어-
dc.publisherElsevier BV-
dc.titleDifferentiation between malignancy and inflammation in pulmonary ground-glass nodules: The feasibility of integrated 18F-FDG PET/CT-
dc.typeArticle-
dc.identifier.doi10.1016/j.lungcan.2008.11.015-
dc.citation.journaltitleLung Cancer-
dc.identifier.wosid000268419000009-
dc.identifier.scopusid2-s2.0-67449162073-
dc.citation.endpage186-
dc.citation.number2-
dc.citation.startpage180-
dc.citation.volume65-
dc.description.isOpenAccessN-
dc.contributor.affiliatedAuthorPark, Chang Min-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.subject.keywordAuthor18F-FDG-
dc.subject.keywordAuthorGGN-
dc.subject.keywordAuthorGGO-
dc.subject.keywordAuthorGround-glass nodule-
dc.subject.keywordAuthorGround-glass opacity-
dc.subject.keywordAuthorPET/CT-
dc.subject.keywordAuthorSolitary pulmonary nodules-
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  • Department of Medicine
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