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Preliminary study for prediction of benign vertebral compression fracture age by quantitative water fraction using modified Dixon sequences: an imaging biomarker of fracture age

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dc.contributor.author송호택-
dc.contributor.author이영한-
dc.contributor.author이주희-
dc.contributor.author한경화-
dc.date.accessioned2023-10-19T05:41:42Z-
dc.date.available2023-10-19T05:41:42Z-
dc.date.issued2023-08-
dc.identifier.issn0033-8362-
dc.identifier.urihttps://ir.ymlib.yonsei.ac.kr/handle/22282913/196243-
dc.description.abstractPurpose: This study aimed to evaluate whether quantitative water fraction parameters could predict fracture age in patients with benign vertebral compression fractures (VCFs). Methods: A total of 38 thoracolumbar VCFs in 27 patients imaged using modified Dixon sequences for water fraction quantification on 3-T MRI were retrospectively reviewed. To calculate quantitative parameters, a radiologist independently measured the regions of interest in the bone marrow edema (BME) of the fractures. Furthermore, five features (BME, trabecular fracture line, condensation band, cortical or end plate fracture line, and paravertebral soft-tissue change) were analyzed. The fracture age was evaluated based on clear-onset symptoms and previously available images. A correlation analysis between the fracture age and water fraction was evaluated using a linear regression model, and a multivariable analysis of the dichotomized fracture age model was performed. Results: The water fraction ratio was the only significant factor and was negatively correlated with the fracture age of VCFs in multiple linear regression (p = 0.047), whereas the water fraction was not significantly correlated (p = 0.052). Water fraction and water fraction ratio were significant factors in differentiating the fracture age of 1 year in multiple logistic regression (odds ratio 0.894, p = 0.003 and odds ratio 0.986, p = 0.019, respectively). Using a cutoff of 0.524 for the water fraction, the area under the curve, sensitivity, and specificity were 0.857, 85.7%, and 87.1%, respectively. Conclusions: Water fraction is a good imaging biomarker for the fracture healing process. The water fraction ratio of the compression fractures can be used to predict the fracture age of benign VCFs.-
dc.description.statementOfResponsibilityrestriction-
dc.languageEnglish-
dc.publisherSpringer-
dc.relation.isPartOfRADIOLOGIA MEDICA-
dc.rightsCC BY-NC-ND 2.0 KR-
dc.subject.MESHBone Diseases, Metabolic*-
dc.subject.MESHBone Marrow Diseases*-
dc.subject.MESHFractures, Compression* / diagnostic imaging-
dc.subject.MESHHumans-
dc.subject.MESHMagnetic Resonance Imaging / methods-
dc.subject.MESHRetrospective Studies-
dc.subject.MESHSpinal Fractures* / diagnostic imaging-
dc.titlePreliminary study for prediction of benign vertebral compression fracture age by quantitative water fraction using modified Dixon sequences: an imaging biomarker of fracture age-
dc.typeArticle-
dc.contributor.collegeCollege of Medicine (의과대학)-
dc.contributor.departmentDept. of Radiology (영상의학교실)-
dc.contributor.googleauthorJa Ho Koo-
dc.contributor.googleauthorJoohee Lee-
dc.contributor.googleauthorKyunghwa Han-
dc.contributor.googleauthorHo-Taek Song-
dc.contributor.googleauthorLeeha Ryu-
dc.contributor.googleauthorYoung Han Lee-
dc.identifier.doi10.1007/s11547-023-01662-1-
dc.contributor.localIdA02080-
dc.contributor.localIdA02967-
dc.contributor.localIdA04786-
dc.contributor.localIdA04267-
dc.relation.journalcodeJ02594-
dc.identifier.eissn1826-6983-
dc.identifier.pmid37336859-
dc.identifier.urlhttps://link.springer.com/article/10.1007/s11547-023-01662-1-
dc.subject.keywordCompression fracture-
dc.subject.keywordFracture age-
dc.subject.keywordModified Dixon-
dc.subject.keywordWater fraction-
dc.contributor.alternativeNameSong, Ho Taek-
dc.contributor.affiliatedAuthor송호택-
dc.contributor.affiliatedAuthor이영한-
dc.contributor.affiliatedAuthor이주희-
dc.contributor.affiliatedAuthor한경화-
dc.citation.volume128-
dc.citation.number8-
dc.citation.startPage970-
dc.citation.endPage977-
dc.identifier.bibliographicCitationRADIOLOGIA MEDICA, Vol.128(8) : 970-977, 2023-08-
Appears in Collections:
1. College of Medicine (의과대학) > Research Institute (부설연구소) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers

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