Literature DB >> 17495284

A diagnostic approach to mediastinal abnormalities.

Camilla R Whitten1, Sameer Khan, Graham J Munneke, Sisa Grubnic.   

Abstract

A number of mediastinal reflections are visible at conventional radiography that represent points of contact between the mediastinum and adjacent lung. The presence or distortion of these reflections is the key to the detection and interpretation of mediastinal abnormalities. Anterior mediastinal masses can be identified when the hilum overlay sign is present and the posterior mediastinal lines are preserved. Widening of the right paratracheal stripe and convexity relative to the aortopulmonary window reflection indicate a middle mediastinal abnormality. Disruption of the azygoesophageal recess can result from disease in either the middle or posterior mediastinum. Paravertebral masses disrupt the paraspinal lines, and the location of masses above the level of the clavicles can be inferred by their lateral margins, which are sharp in posterior masses but not in anterior masses. The divisions of the mediastinum are not absolute; however, referring to the local anatomy of the mediastinal reflections in an attempt to more accurately localize an abnormality may help narrow the differential diagnosis. Identification of the involved mediastinal compartment helps determine which imaging modality might be appropriate for further study. (c) RSNA, 2007.

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Mesh:

Year:  2007        PMID: 17495284     DOI: 10.1148/rg.273065136

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  25 in total

1.  Malignant versus benign mediastinal lesions: quantitative assessment with diffusion weighted MR imaging.

Authors:  Sevtap Gümüştaş; Nagihan Inan; Hasan Tahsin Sarisoy; Yonca Anik; Arzu Arslan; Ercüment Ciftçi; Gür Akansel; Ali Demirci
Journal:  Eur Radiol       Date:  2011-06-23       Impact factor: 5.315

2.  C-Arm Cone-Beam CT Virtual Navigation-Guided Percutaneous Mediastinal Mass Biopsy: Diagnostic Accuracy and Complications.

Authors:  Hyungjin Kim; Chang Min Park; Sang Min Lee; Jin Mo Goo
Journal:  Eur Radiol       Date:  2015-04-28       Impact factor: 5.315

Review 3.  [Imaging signs in chest diagnostics].

Authors:  G A Krombach
Journal:  Radiologe       Date:  2016-08       Impact factor: 0.635

4.  Radiographic evaluation of mediastinal lines as a diagnostic approach to occult or subtle mediastinal abnormalities.

Authors:  B Feragalli; C Mantini; R L Patea; F De Filippis; E Di Nicola; M L Storto
Journal:  Radiol Med       Date:  2011-03-07       Impact factor: 3.469

5.  Mediastinal paraganglioma.

Authors:  Yoko Takashima; Takeshi Kamitani; Satoshi Kawanami; Michinobu Nagao; Masato Yonezawa; Yuzo Yamasaki; Shingo Baba; Hidetake Yabuuchi; Tomoyuki Hida; Kenichi Kohashi; Katsuya Nakamura; Hiromichi Sonoda; Yoshinao Oda; Hiroshi Honda
Journal:  Jpn J Radiol       Date:  2015-05-30       Impact factor: 2.374

6.  Imaging and Clinical Findings in a Series of Six Cases of Rare Primary Mediastinal Liposarcoma.

Authors:  Gordon S Wong; David Bass; Irene Y Chen; Raymond Thomas; Moises J Velez; Susan K Hobbs
Journal:  Radiol Cardiothorac Imaging       Date:  2022-03-17

7.  The role of positron emission tomography/computed tomography in the evaluation of anterior mediastinal masses and differentiating between the histological subtypes of thymic epithelial neoplasms.

Authors:  Ahmet Yanarateş; Emine Budak
Journal:  Turk Gogus Kalp Damar Cerrahisi Derg       Date:  2020-03-06       Impact factor: 0.332

Review 8.  ECMO and adult mediastinal masses.

Authors:  Kollengode Ramanathan; Lowell Leow; Harish Mithiran
Journal:  Indian J Thorac Cardiovasc Surg       Date:  2021-01-08

9.  A diagnostic approach to the mediastinal masses.

Authors:  Sergi Juanpere; Noemí Cañete; Pedro Ortuño; Sandra Martínez; Gloria Sanchez; Lluis Bernado
Journal:  Insights Imaging       Date:  2012-12-06

Review 10.  Imaging of anterior mediastinal tumours.

Authors:  Ching Ching Ong; Lynette L S Teo
Journal:  Cancer Imaging       Date:  2012-11-02       Impact factor: 3.909

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