A. Kuchnia, J. Lortie, Katie J Osterbauer, T. Hess, N. Stabo, Nanae Tsuchiya, N. Wheeler, N. Binkley, C. François, M. Schiebler, J. Hermsen, R. Dhingra
{"title":"计算机断层扫描测量胸肌和肝脏的组织密度预测心脏移植受者的预后","authors":"A. Kuchnia, J. Lortie, Katie J Osterbauer, T. Hess, N. Stabo, Nanae Tsuchiya, N. Wheeler, N. Binkley, C. François, M. Schiebler, J. Hermsen, R. Dhingra","doi":"10.1002/rco2.62","DOIUrl":null,"url":null,"abstract":"Computed tomography (CT)‐derived measures of tissue quality can add to frailty assessment and improve selection of candidates for heart transplant. We investigated the prognostic value of CT measures of tissue density for predicting hospital length of stay (LOS) and mortality post‐transplant.","PeriodicalId":73544,"journal":{"name":"JCSM rapid communications","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Computed tomography measured tissue density of pectoral muscle and liver predicts outcomes in heart transplant recipients\",\"authors\":\"A. Kuchnia, J. Lortie, Katie J Osterbauer, T. Hess, N. Stabo, Nanae Tsuchiya, N. Wheeler, N. Binkley, C. François, M. Schiebler, J. Hermsen, R. Dhingra\",\"doi\":\"10.1002/rco2.62\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computed tomography (CT)‐derived measures of tissue quality can add to frailty assessment and improve selection of candidates for heart transplant. We investigated the prognostic value of CT measures of tissue density for predicting hospital length of stay (LOS) and mortality post‐transplant.\",\"PeriodicalId\":73544,\"journal\":{\"name\":\"JCSM rapid communications\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JCSM rapid communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1002/rco2.62\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JCSM rapid communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1002/rco2.62","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Computed tomography measured tissue density of pectoral muscle and liver predicts outcomes in heart transplant recipients
Computed tomography (CT)‐derived measures of tissue quality can add to frailty assessment and improve selection of candidates for heart transplant. We investigated the prognostic value of CT measures of tissue density for predicting hospital length of stay (LOS) and mortality post‐transplant.