title: Respiratory dynamic magnetic resonance imaging for determining aortic invasion of thoracic neoplasms.
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.
authors: Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
authors: Yoo Jin
authors: YJ
authors: Hong
authors: Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea. Electronic address: khuhz@yuhs.ac.
authors: Jin
authors: J
authors: Hur
authors: Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
authors: Hye-Jeong
authors: HJ
authors: Lee
authors: Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
authors: Young Jin
authors: YJ
authors: Kim
authors: Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
authors: Sae Rom
authors: SR
authors: Hong
authors: Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
authors: Young Joo
authors: YJ
authors: Suh
authors: Department of Radiology, Research Institute of Radiological Science, Severance Hospital, Yonsei University College of Medicine, Seoul, South Korea.
authors: Byoung Wook
authors: BW
authors: Choi
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001011:Aorta / Q000473:pathology*; D001027:Aortography / Q000379:methods; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D061330:Multidetector Computed Tomography; D009361:Neoplasm Invasiveness; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D012119:Respiration; D013899:Thoracic Neoplasms / Q000000981:diagnostic imaging / Q000473:pathology* / Q000503:physiopathology