Literature DB >> 24507989

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

Yoo Jin Hong1, Jin Hur2, Hye-Jeong Lee1, Young Jin Kim1, Sae Rom Hong1, Young Joo Suh1, Byoung Wook Choi1.   

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.
Copyright © 2014 The American Association for Thoracic Surgery. Published by Mosby, Inc. All rights reserved.

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Year:  2014        PMID: 24507989     DOI: 10.1016/j.jtcvs.2013.12.060

Source DB:  PubMed          Journal:  J Thorac Cardiovasc Surg        ISSN: 0022-5223            Impact factor:   5.209


  4 in total

1.  The preoperative assessment of subpleural lung cancer movement to distinguish thoracic wall adhesion or invasion using four-dimensional computed-tomography.

Authors:  Jun Suzuki; Hiroyuki Oizumi; Hikaru Watarai; Akira Hamada; Kenta Nakahashi; Satoshi Takamori; Mitsuaki Sadahiro
Journal:  Gen Thorac Cardiovasc Surg       Date:  2019-03-06

2.  Preoperative assessment of parietal pleural invasion/adhesion of subpleural lung cancer: advantage of software-assisted analysis of 4-dimensional dynamic-ventilation computed tomography.

Authors:  Tsuneo Yamashiro; Hiroshi Moriya; Maho Tsubakimoto; Yukihiro Nagatani; Tatsuya Kimoto; Sadayuki Murayama
Journal:  Eur Radiol       Date:  2019-03-26       Impact factor: 5.315

Review 3.  Four-Dimensional Thoracic CT in Free-Breathing Children.

Authors:  Hyun Woo Goo
Journal:  Korean J Radiol       Date:  2018-12-27       Impact factor: 3.500

4.  Preoperative detection of pleural adhesions by respiratory dynamic computed tomography.

Authors:  Junko Tokuno; Tsuyoshi Shoji; Ryota Sumitomo; Yuichiro Ueda; Keiji Yamanashi; Cheng-Long Huang
Journal:  World J Surg Oncol       Date:  2017-12-01       Impact factor: 2.754

  4 in total

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