Cited 2 times in
T1 Map-Based Radiomics for Prediction of Left Ventricular Reverse Remodeling in Patients With Nonischemic Dilated Cardiomyopathy
DC Field | Value | Language |
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dc.contributor.author | 김휘영 | - |
dc.contributor.author | 최병욱 | - |
dc.contributor.author | 한경화 | - |
dc.contributor.author | 장수연 | - |
dc.date.accessioned | 2024-03-22T06:15:45Z | - |
dc.date.available | 2024-03-22T06:15:45Z | - |
dc.date.issued | 2023-05 | - |
dc.identifier.issn | 1229-6929 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/198486 | - |
dc.description.abstract | Objective: This study aimed to develop and validate models using radiomics features on a native T1 map from cardiac magnetic resonance (CMR) to predict left ventricular reverse remodeling (LVRR) in patients with nonischemic dilated cardiomyopathy (NIDCM). Materials and Methods: Data from 274 patients with NIDCM who underwent CMR imaging with T1 mapping at Severance Hospital between April 2012 and December 2018 were retrospectively reviewed. Radiomic features were extracted from the native T1 maps. LVRR was determined using echocardiography performed ≥ 180 days after the CMR. The radiomics score was generated using the least absolute shrinkage and selection operator logistic regression models. Clinical, clinical + late gadolinium enhancement (LGE), clinical + radiomics, and clinical + LGE + radiomics models were built using a logistic regression method to predict LVRR. For internal validation of the result, bootstrap validation with 1000 resampling iterations was performed, and the optimism-corrected area under the receiver operating characteristic curve (AUC) with 95% confidence interval (CI) was computed. Model performance was compared using AUC with the DeLong test and bootstrap. Results: Among 274 patients, 123 (44.9%) were classified as LVRR-positive and 151 (55.1%) as LVRR-negative. The optimismcorrected AUC of the radiomics model in internal validation with bootstrapping was 0.753 (95% CI, 0.698–0.813). The clinical + radiomics model revealed a higher optimism-corrected AUC than that of the clinical + LGE model (0.794 vs. 0.716; difference, 0.078 [99% CI, 0.003–0.151]). The clinical + LGE + radiomics model significantly improved the prediction of LVRR compared with the clinical + LGE model (optimism-corrected AUC of 0.811 vs. 0.716; difference, 0.095 [99% CI, 0.022–0.139]). Conclusion: The radiomic characteristics extracted from a non-enhanced T1 map may improve the prediction of LVRR and offer added value over traditional LGE in patients with NIDCM. Additional external validation research is required. | - |
dc.description.statementOfResponsibility | open | - |
dc.format | application/pdf | - |
dc.language | English | - |
dc.publisher | Korean Society of Radiology | - |
dc.relation.isPartOf | KOREAN JOURNAL OF RADIOLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.subject.MESH | Cardiomyopathy, Dilated* / diagnostic imaging | - |
dc.subject.MESH | Cardiomyopathy, Dilated* / pathology | - |
dc.subject.MESH | Contrast Media | - |
dc.subject.MESH | Gadolinium | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Magnetic Resonance Imaging, Cine / methods | - |
dc.subject.MESH | Myocardium / pathology | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Retrospective Studies | - |
dc.subject.MESH | Ventricular Remodeling | - |
dc.title | T1 Map-Based Radiomics for Prediction of Left Ventricular Reverse Remodeling in Patients With Nonischemic Dilated Cardiomyopathy | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) | - |
dc.contributor.googleauthor | Suyon Chang | - |
dc.contributor.googleauthor | Kyunghwa Han | - |
dc.contributor.googleauthor | Yonghan Kwon | - |
dc.contributor.googleauthor | Lina Kim | - |
dc.contributor.googleauthor | Seunghyun Hwang | - |
dc.contributor.googleauthor | Hwiyoung Kim | - |
dc.contributor.googleauthor | Byoung Wook Choi | - |
dc.identifier.doi | 10.3348/kjr.2023.0065 | - |
dc.contributor.localId | A05971 | - |
dc.contributor.localId | A04059 | - |
dc.contributor.localId | A04267 | - |
dc.relation.journalcode | J02884 | - |
dc.identifier.eissn | 2005-8330 | - |
dc.identifier.pmid | 37133210 | - |
dc.subject.keyword | Cardiomyopathy, Dilated | - |
dc.subject.keyword | Magnetic resonance imaging | - |
dc.subject.keyword | Prognosis | - |
dc.subject.keyword | Radiomics | - |
dc.contributor.alternativeName | Kim, Hwiyoung | - |
dc.contributor.affiliatedAuthor | 김휘영 | - |
dc.contributor.affiliatedAuthor | 최병욱 | - |
dc.contributor.affiliatedAuthor | 한경화 | - |
dc.citation.volume | 24 | - |
dc.citation.number | 5 | - |
dc.citation.startPage | 395 | - |
dc.citation.endPage | 405 | - |
dc.identifier.bibliographicCitation | KOREAN JOURNAL OF RADIOLOGY, Vol.24(5) : 395-405, 2023-05 | - |
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