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

DC Field Value Language
dc.contributor.author강원준-
dc.date.accessioned2015-04-24T16:49:41Z-
dc.date.available2015-04-24T16:49:41Z-
dc.date.issued2009-
dc.identifier.issn0169-5002-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/104248-
dc.description.abstractBACKGROUND: (18)F-FDG PET/CT has been used to differentiate malignant solid lung nodules from benign nodules. We assess the feasibility of integrated (18)F-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 >/=10mm 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.-
dc.description.statementOfResponsibilityopen-
dc.format.extent180~186-
dc.relation.isPartOfLUNG CANCER-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/2.0/kr/-
dc.subject.MESHFemale-
dc.subject.MESHFluorodeoxyglucose F18-
dc.subject.MESHHumans-
dc.subject.MESHInflammation/diagnostic imaging-
dc.subject.MESHInflammation/pathology-
dc.subject.MESHLung Neoplasms/diagnostic imaging*-
dc.subject.MESHLung Neoplasms/pathology-
dc.subject.MESHMale-
dc.subject.MESHMiddle Aged-
dc.subject.MESHPositron-Emission Tomography-
dc.subject.MESHRadiopharmaceuticals-
dc.subject.MESHSolitary Pulmonary Nodule/diagnostic imaging*-
dc.subject.MESHSolitary Pulmonary Nodule/pathology-
dc.subject.MESHTomography, X-Ray Computed-
dc.titleDifferentiation between malignancy and inflammation in pulmonary ground-glass nodules: The feasibility of integrated (18)F-FDG PET/CT.-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Nuclear Medicine (핵의학)-
dc.contributor.googleauthorEun Ju Chun-
dc.contributor.googleauthorHyun Ju Lee-
dc.contributor.googleauthorWon Jun Kang-
dc.contributor.googleauthorKwang Gi Kim-
dc.contributor.googleauthorJin Mo Goo-
dc.contributor.googleauthorChang Min Park-
dc.contributor.googleauthorChang Hyun Lee-
dc.identifier.doi10.1016/j.lungcan.2008.11.015-
dc.admin.authorfalse-
dc.admin.mappingfalse-
dc.contributor.localIdA00062-
dc.relation.journalcodeJ02174-
dc.identifier.eissn1872-8332-
dc.identifier.pmid19155090-
dc.identifier.urlhttp://www.sciencedirect.com/science/article/pii/S0169500208006120-
dc.subject.keywordGround-glass nodule-
dc.subject.keywordGround-glass opacity-
dc.subject.keywordGGN-
dc.subject.keywordGGO-
dc.subject.keywordSolitary pulmonary nodules-
dc.subject.keywordPET/CT-
dc.subject.keywordF-FDG-
dc.contributor.alternativeNameKang, Won Jun-
dc.contributor.affiliatedAuthorKang, Won Jun-
dc.citation.volume65-
dc.citation.number2-
dc.citation.startPage180-
dc.citation.endPage186-
dc.identifier.bibliographicCitationLUNG CANCER, Vol.65(2) : 180-186, 2009-
dc.identifier.rimsid56138-
dc.type.rimsART-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Nuclear Medicine (핵의학교실) > 1. Journal Papers

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