1 184

Cited 7 times in

Respiratory dynamic magnetic resonance imaging for determining aortic invasion of thoracic neoplasms

Authors
 Yoo Jin Hong  ;  Jin Hur  ;  Hye-Jeong Lee  ;  Young Jin Kim  ;  Sae Rom Hong  ;  Young Joo Suh  ;  Byoung Wook Choi 
Citation
 Journal of Thoracic and Cardiovascular Surgery, Vol.148(2) : 644-650, 2014 
Journal Title
 Journal of Thoracic and Cardiovascular Surgery 
ISSN
 0022-5223 
Issue Date
2014
Abstract
OBJECTIVE: An accurate radiological method for evaluating the presence or extent of aortic invasion by thoracic cancer is essential in the preoperative setting. The aim of this study was to assess whether respiratory dynamic (RD) magnetic resonance imaging (MRI) more accurately detects aortic invasion of mediastinal tumors and lung cancer compared with conventional MRI or computed tomography (CT). METHODS: Twenty-six patients (19 male, 7 female; mean age, 63.08 ± 12.05 years) with inconclusive evidence of aortic invasion on chest CT underwent MRI (conventional and RD MRI using a balanced fast field echo sequence with a 1.5 T unit). The presence of aortic invasion was determined by fixation of the aorta and lack of synchronous motion during respiration on RD MRI. The results of CT and MRI were compared with the pathology results. The sensitivity, specificity, and accuracy of CT, conventional MRI, and conventional MRI with RD MRI were compared. RESULTS: Of 26 patients, 5 patients had invasion of the aorta. The sensitivity for determining aortic invasion was 100% using CT alone, conventional MRI alone, and conventional MRI with RD MRI. The specificity and accuracy for conventional MRI with RD MRI were significantly higher (71.4% and 76.9%, respectively) than for CT (28.5% and 42.3%, P < .05) or conventional MRI alone (33.3% and 46.1%, P < .05). CONCLUSIONS: RD MRI may improve the diagnostic accuracy of MRI by predicting aortic invasion use in preoperative staging.
Full Text
http://www.sciencedirect.com/science/article/pii/S0022522314000373
DOI
10.1016/j.jtcvs.2013.12.060
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
Yonsei Authors
김영진(Kim, Young Jin) ORCID logo https://orcid.org/0000-0002-6235-6550
서영주(Suh, Young Joo) ORCID logo https://orcid.org/0000-0002-2078-5832
이혜정(Lee, Hye Jeong) ORCID logo https://orcid.org/0000-0003-4349-9174
최병욱(Choi, Byoung Wook) ORCID logo https://orcid.org/0000-0002-8873-5444
허진(Hur, Jin) ORCID logo https://orcid.org/0000-0002-8651-6571
홍새롬(Hong, Sae Rom)
홍유진(Hong, Yoo Jin) ORCID logo https://orcid.org/0000-0002-7276-0944
Export
RIS (EndNote)
XLS (Excel)
XML
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/99992
사서에게 알리기
  feedback

qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

Browse