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Persistent pulmonary subsolid nodules with solid portions of 5 mm or smaller: Their natural course and predictors of interval growth
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lee, Jong Hyuk | - |
dc.contributor.author | Park, Chang Min | - |
dc.contributor.author | Lee, Sang Min | - |
dc.contributor.author | Kim, Hyungjin | - |
dc.contributor.author | McAdams, H. Page | - |
dc.contributor.author | Goo, Jin Mo | - |
dc.date.accessioned | 2024-08-08T01:36:05Z | - |
dc.date.available | 2024-08-08T01:36:05Z | - |
dc.date.created | 2018-08-30 | - |
dc.date.created | 2018-08-30 | - |
dc.date.issued | 2016-06 | - |
dc.identifier.citation | European Radiology, Vol.26 No.6, pp.1529-1537 | - |
dc.identifier.issn | 0938-7994 | - |
dc.identifier.uri | https://hdl.handle.net/10371/206933 | - |
dc.description.abstract | To investigate the natural course of persistent pulmonary subsolid nodules (SSNs) with solid portions a parts per thousand currency sign5 mm and the clinico-radiological features that influence interval growth over follow-ups. From 2005 to 2013, the natural courses of 213 persistent SSNs in 213 patients were evaluated. To identify significant predictors of interval growth, Kaplan-Meier analysis and Cox proportional hazard regression analysis were performed. Among the 213 nodules, 136 were pure ground-glass nodules (GGNs; growth, 18; stable, 118) and 77 were part-solid GGNs with solid portions a parts per thousand currency sign5 mm (growth, 24; stable, 53). For all SSNs, lung cancer history (p = 0.001), part-solid GGNs (p < 0.001), and nodule diameter (p < 0.001) were significant predictors for interval growth. On subgroup analysis, nodule diameter was an independent predictor for the interval growth of both pure GGNs (p < 0.001), and part-solid GGNs (p = 0.037). For part-solid GGNs, lung cancer history (p = 0.002) was another significant predictor of the interval growth. Interval growth of pure GGNs a parts per thousand yen10 mm and part-solid GGNs a parts per thousand yen8 mm were significantly more frequent than in pure GGNs < 10 mm (p < 0.001) and part-solid GGNs < 8 mm (p = 0.003), respectively. The natural course of SSNs with solid portions a parts per thousand currency sign5 mm differed significantly according to their nodule type and nodule diameters, with which their management can be subdivided. aEuro cent Pure GGNs a parts per thousand yen10 mm have significantly more frequent interval growth than those < 10 mm. aEuro cent Part-solid GGNs a parts per thousand yen8 mm have significantly more frequent interval growth than those < 8 mm. aEuro cent Management of SSNs with solid portions a parts per thousand currency sign5 mm can be subdivided by diameter. | - |
dc.language | 영어 | - |
dc.publisher | Springer Verlag | - |
dc.title | Persistent pulmonary subsolid nodules with solid portions of 5 mm or smaller: Their natural course and predictors of interval growth | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/s00330-015-4017-4 | - |
dc.citation.journaltitle | European Radiology | - |
dc.identifier.wosid | 000376100100002 | - |
dc.identifier.scopusid | 2-s2.0-84942065609 | - |
dc.citation.endpage | 1537 | - |
dc.citation.number | 6 | - |
dc.citation.startpage | 1529 | - |
dc.citation.volume | 26 | - |
dc.description.isOpenAccess | N | - |
dc.contributor.affiliatedAuthor | Park, Chang Min | - |
dc.contributor.affiliatedAuthor | Goo, Jin Mo | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.subject.keywordPlus | GROUND-GLASS OPACITY | - |
dc.subject.keywordPlus | THIN-SECTION CT | - |
dc.subject.keywordPlus | LUNG-CANCER | - |
dc.subject.keywordPlus | FOLLOW-UP | - |
dc.subject.keywordPlus | COMPUTED-TOMOGRAPHY | - |
dc.subject.keywordPlus | PREINVASIVE LESIONS | - |
dc.subject.keywordPlus | MANAGEMENT | - |
dc.subject.keywordPlus | SIZE | - |
dc.subject.keywordPlus | ADENOCARCINOMAS | - |
dc.subject.keywordPlus | DIFFERENTIATION | - |
dc.subject.keywordAuthor | Lung adenocarcinoma | - |
dc.subject.keywordAuthor | Adenocarcinoma in situ | - |
dc.subject.keywordAuthor | Computed tomography | - |
dc.subject.keywordAuthor | Portion size | - |
dc.subject.keywordAuthor | Follow-up studies | - |
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