Literature DB >> 15856251

Displaced aortic arch sign on chest radiographs: a new sign for the detection of a left paratracheal esophageal mass.

Dong Hyun Yang1, Joon Beom Seo, In Sun Lee, Kyung-Hyun Do, Sung Min Ko, Soo-Hyun Lee, Jae-Woo Song, Jin Seong Lee, Koun-Sik Song, Tae-Hwan Lim.   

Abstract

Our objective was to ascertain whether displacement of the aortic knob on chest radiographs could be used as a sign to detect a left paratracheal esophageal mass. Sixty-one consecutive pathologically proven esophageal cancer patients were included in this study according to the following criteria: tumor at the aortic arch level; chest radiographs in the neutral position; no unilateral volume loss in the lung. Sixty-one sex- and age-matched subjects served as the control group. To measure the extent of displacement of the aortic arch, we drew a circle over the aortic knob, fitting more than one-quarter of the circumference on the chest radiograph. The distance between the medial end of the circle and the left margin of the trachea (aortic displacement value, ADV) was measured. The difference of the ADV between the study group and the control group was analyzed using a paired t test. The aortic displacement value was significantly larger in the study group (11.7+/-4.5 mm) than in the control group (5.6+/-2.9 mm). When we applied 10 mm as a threshold level, sensitivity and specificity on detection of esophageal cancer were 78.7 and 78.7%, respectively. Displacement of the aortic knob may be a useful sign to indicate a left paratracheal esophageal mass.

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Year:  2004        PMID: 15856251     DOI: 10.1007/s00330-004-2540-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  5 in total

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Authors:  Kelly H Zou; Kemal Tuncali; Stuart G Silverman
Journal:  Radiology       Date:  2003-06       Impact factor: 11.105

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Journal:  Radiology       Date:  1989-06       Impact factor: 11.105

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Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

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Journal:  J Gerontol       Date:  1983-05
  5 in total
  1 in total

1.  A deep learning-based automatic analysis of cardiovascular borders on chest radiographs of valvular heart disease: development/external validation.

Authors:  Cherry Kim; Gaeun Lee; Hongmin Oh; Gyujun Jeong; Sun Won Kim; Eun Ju Chun; Young-Hak Kim; June-Goo Lee; Dong Hyun Yang
Journal:  Eur Radiol       Date:  2021-10-13       Impact factor: 5.315

  1 in total

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