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Feasibility of UTE-MRI-based radiomics model for prediction of histopathologic subtype of lung adenocarcinoma: in comparison with CT-based radiomics model

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dc.contributor.authorLee, Suji-
dc.contributor.authorLee, Chang Young-
dc.contributor.authorKim, Na Young-
dc.contributor.authorSuh, Yong Joo-
dc.contributor.authorLee, Hye-Jeong-
dc.contributor.authorYong, Hwan Seok-
dc.contributor.authorKim, Hye Ryun-
dc.contributor.authorKim, Young Jin-
dc.date.accessioned2024-03-22T05:57:04Z-
dc.date.available2024-03-22T05:57:04Z-
dc.date.created2024-04-05-
dc.date.issued2024-05-
dc.identifier.issn0938-7994-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/198307-
dc.description.abstractObjectives To assess the feasibility of the UTE-MRI radiomic model in predicting the micropapillary and/or solid (MP/S) patterns of surgically resected lung adenocarcinoma. Materials and methods We prospectively enrolled 74 lesions from 71 patients who underwent UTE-MRI and CT before curative surgery for early lung adenocarcinoma. For conventional radiologic analysis, we analyzed the longest lesion diameter and lesion characteristics at both UTE-MRI and CT. Radiomic features were extracted from the volume of interest of the lesions and Rad-scores were generated using the least absolute shrinkage and selection operator with fivefold cross-validation. Six models were constructed by combining the conventional radiologic model, UTE-MRI Rad-score, and CT Rad-score. The areas under the curves (AUCs) of each model were compared using the DeLong method. Early recurrence after curative surgery was analyzed, and Kaplan-Meier survival analysis was performed. Results Twenty-four lesions were MP/S-positive, and 50 were MP/S-negative. The longitudinal size showed a small systematic difference between UTE-MRI and CT, with fair intermodality agreement of lesion characteristic (kappa = 0.535). The Rad-scores of the UTE-MRI and CT demonstrated AUCs of 0.84 and 0.841, respectively (p = 0.98). Among the six models, mixed conventional, UTE-MRI, and CT Rad-score model showed the highest diagnostic performance (AUC = 0.879). In the survival analysis, the high- and low-risk groups were successfully divided by the Rad-score in UTE-MRI (p = 0.01) and CT (p < 0.01). Conclusion UTE-MRI radiomic model predicting MP/S positivity is feasible compared with the CT radiomic model. Also, it was associated with early recurrence in the survival analysis. Clinical relevance statement A radiomic model utilizing UTE-MRI, which does not present a radiation hazard, was able to successfully predict the histopathologic subtype of lung adenocarcinoma, and it was associated with the patient&apos;s recurrence-free survival.Key Points center dot No studies have reported the ultrashort echo time (UTE)-MRI-based radiomic model for lung adenocarcinoma.center dot The UTE-MRI Rad-score showed comparable diagnostic performance with CT Rad-score for predicting micropapillary and/or solid histopathologic pattern.center dot UTE-MRI is feasible not only for conventional radiologic analysis, but also for radiomics analysis.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer International-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.relation.isPartOfEUROPEAN RADIOLOGY-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.titleFeasibility of UTE-MRI-based radiomics model for prediction of histopathologic subtype of lung adenocarcinoma: in comparison with CT-based radiomics model-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Anesthesiology and Pain Medicine (마취통증의학교실)-
dc.contributor.googleauthorLee, Suji-
dc.contributor.googleauthorLee, Chang Young-
dc.contributor.googleauthorKim, Na Young-
dc.contributor.googleauthorSuh, Yong Joo-
dc.contributor.googleauthorLee, Hye-Jeong-
dc.contributor.googleauthorYong, Hwan Seok-
dc.contributor.googleauthorKim, Hye Ryun-
dc.contributor.googleauthorKim, Young Jin-
dc.identifier.doi10.1007/s00330-023-10302-1-
dc.relation.journalcodeJ00851-
dc.identifier.eissn1432-1084-
dc.identifier.pmid37840100-
dc.subject.keywordLung neoplasm-
dc.subject.keywordMagnetic resonance imaging-
dc.subject.keywordRadiomics-
dc.subject.keywordPathology-
dc.subject.keywordProgression-free survival-
dc.contributor.alternativeNameKim, Na Young-
dc.contributor.affiliatedAuthorLee, Suji-
dc.contributor.affiliatedAuthorLee, Chang Young-
dc.contributor.affiliatedAuthorKim, Na Young-
dc.contributor.affiliatedAuthorSuh, Yong Joo-
dc.contributor.affiliatedAuthorLee, Hye-Jeong-
dc.contributor.affiliatedAuthorKim, Hye Ryun-
dc.contributor.affiliatedAuthorKim, Young Jin-
dc.identifier.scopusid2-s2.0-85174178946-
dc.identifier.wosid001085012300001-
dc.citation.volume34-
dc.citation.number5-
dc.citation.startPage3422-
dc.citation.endPage3430-
dc.identifier.bibliographicCitationEUROPEAN RADIOLOGY, Vol.34(5) : 3422-3430, 2024-05-
dc.identifier.rimsid82885-
dc.type.rimsART-
dc.description.journalClass1-
dc.description.journalClass1-
dc.subject.keywordAuthorLung neoplasm-
dc.subject.keywordAuthorMagnetic resonance imaging-
dc.subject.keywordAuthorRadiomics-
dc.subject.keywordAuthorPathology-
dc.subject.keywordAuthorProgression-free survival-
dc.subject.keywordPlusMICROPAPILLARY-
dc.subject.keywordPlusPATTERN-
dc.subject.keywordPlusCANCER-
dc.subject.keywordPlusCLASSIFICATION-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusCOMPONENTS-
dc.subject.keywordPlusMUTATIONS-
dc.subject.keywordPlusPROGNOSIS-
dc.subject.keywordPlusEGFR-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Thoracic and Cardiovascular Surgery (흉부외과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Anesthesiology and Pain Medicine (마취통증의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers

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