Literature DB >> 28129068

ITMIG Classification of Mediastinal Compartments and Multidisciplinary Approach to Mediastinal Masses.

Brett W Carter1, Marcelo F Benveniste1, Rachna Madan1, Myrna C Godoy1, Patricia M de Groot1, Mylene T Truong1, Melissa L Rosado-de-Christenson1, Edith M Marom1.   

Abstract

Division of the mediastinum into specific compartments is beneficial for a number of reasons, including generation of a focused differential diagnosis for mediastinal masses identified on imaging examinations, assistance in planning for biopsies and surgical procedures, and facilitation of communication between clinicians in a multidisciplinary setting. Several classification schemes for the mediastinum have been created and used to varying degrees in clinical practice. Most radiology classifications have been based on arbitrary landmarks outlined on the lateral chest radiograph. A new scheme based on cross-sectional imaging, principally multidetector computed tomography (CT), has been developed by the International Thymic Malignancy Interest Group (ITMIG) and accepted as a new standard. This clinical division scheme defines unique prevascular, visceral, and paravertebral compartments based on boundaries delineated by specific anatomic structures at multidetector CT. This new definition plays an important role in identification and characterization of mediastinal abnormalities, which, although uncommon and encompassing a wide variety of entities, can often be diagnosed with confidence based on location and imaging features alone. In other scenarios, a diagnosis may be suggested when radiologic features are combined with specific clinical information. In this article, the authors present the new multidetector CT-based classification of mediastinal compartments introduced by ITMIG and a structured approach to imaging evaluation of mediastinal abnormalities. ©RSNA, 2017.

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Year:  2017        PMID: 28129068     DOI: 10.1148/rg.2017160095

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


  25 in total

Review 1.  The resident's point of view in the learning curve of thymic MIS: why should I learn it?

Authors:  Anna E Frick; Hans Van Veer; Herbert Decaluwé; Willy Coosemans; Dirk Van Raemdonck
Journal:  J Vis Surg       Date:  2018-04-27

2.  Complete excision of acute necrotic regression of thymoma mimicking an infected mediastinal cyst with mediastinitis using video-assisted thoracoscopic technique.

Authors:  Yong Hwan Kim; Jae Jun Kim; Seong Cheol Jeong; In Sub Kim
Journal:  J Thorac Dis       Date:  2018-05       Impact factor: 2.895

Review 3.  [Mediastinal lesions : The most common pathologies in chest X-rays and their correlations in computed tomography].

Authors:  Maximilian T Löffler; Fabian Bamberg; Michel Eisenblätter; Claudia Ehritt-Braun
Journal:  Radiologe       Date:  2022-01-13       Impact factor: 0.635

Review 4.  Pediatric mediastinal masses.

Authors:  Gayathri Sreedher; Sameh S Tadros; Emily Janitz
Journal:  Pediatr Radiol       Date:  2022-06-08

5.  An initial experience of computed tomography-guided trans superior vena caval biopsy: a novel approach for precarious mediastinal lesions.

Authors:  Muthusubramanian Rajasekaran; Salil Pandey; Suresh Ashwathappa; Ganesh Subramanya Mandakulutur; Shashidhar V Karpurmath; Manjunath Irappa Nandennavar
Journal:  Pol J Radiol       Date:  2022-04-25

6.  Verification of the diagnostic strategy for anterior mediastinal tumors.

Authors:  Shuhei Hakiri; Koji Kawaguchi; Takayuki Fukui; Shota Nakamura; Naoki Ozeki; Shunsuke Mori; Masaki Goto; Kumiko Hashimoto; Toshinari Ito; Kohei Yokoi
Journal:  Int J Clin Oncol       Date:  2018-10-29       Impact factor: 3.402

7.  Value of metabolic parameters in distinguishing primary mediastinal lymphomas from thymic epithelial tumors.

Authors:  Lei Zhu; Xiaofeng Li; Jian Wang; Qiang Fu; Jianjing Liu; Wenchao Ma; Wengui Xu; Wei Chen
Journal:  Cancer Biol Med       Date:  2020-05-15       Impact factor: 4.248

8.  Diagnostic accuracy of multidetector computed tomography scan in mediastinal masses assuming histopathological findings as gold standard.

Authors:  Somshankar Pandey; Usha Jaipal; Nima Mannan; Rajkumar Yadav
Journal:  Pol J Radiol       Date:  2018-05-25

9.  Relationship Between Computed Tomography Imaging Features and Clinical Characteristics, Masaoka-Koga Stages, and World Health Organization Histological Classifications of Thymoma.

Authors:  Xiaowei Han; Wenwen Gao; Yue Chen; Lei Du; Jianghui Duan; Hongwei Yu; Runcai Guo; Lu Zhang; Guolin Ma
Journal:  Front Oncol       Date:  2019-10-11       Impact factor: 6.244

10.  Incremental Value of Magnetic Resonance Imaging in Further Characterizing Hypodense Mediastinal and Paracardiac Lesions Identified on Computed Tomography.

Authors:  Abhishek Chaturvedi; Chris Gange; Hakan Sahin; Apeksha Chaturvedi
Journal:  J Clin Imaging Sci       Date:  2018-03-12
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