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Japanese Journal of Radiology

, Volume 37, Issue 2, pp 117–134 | Cite as

CT-based mediastinal compartment classifications and differential diagnosis of mediastinal tumors

  • Takahiko NakazonoEmail author
  • Ken Yamaguchi
  • Ryoko Egashira
  • Yukari Takase
  • Junichi Nojiri
  • Masanobu Mizuguchi
  • Hiroyuki Irie
Invited Review
  • 141 Downloads

Abstract

Division of the mediastinum into compartments is used to help narrow down the differential diagnosis of mediastinal tumors, assess tumor growth, and plan biopsies and surgical procedures. There are several traditional mediastinal compartment classification systems based upon anatomical landmarks and lateral chest radiograph. Recently, the Japanese Association of Research of the Thymus (JART) and the International Thymic Malignancy Interest Group (ITMIG) proposed new mediastinal compartment classification systems based on transverse CT images. These CT-based classification systems are useful for more consistent and exact diagnosis of mediastinal tumors. In this article, we review these CT-based mediastinal compartment classifications in relation to the differential diagnosis of mediastinal tumors.

Keywords

Mediastinum Compartment Computed tomography Magnetic resonance imaging 

Notes

Funding

The authors declare they have no funding.

Compliance with ethical standards

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical standards

This article does not contain any studies with human participants or animals performed by any of the authors.

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Copyright information

© Japan Radiological Society 2018

Authors and Affiliations

  • Takahiko Nakazono
    • 1
    Email author
  • Ken Yamaguchi
    • 1
  • Ryoko Egashira
    • 1
  • Yukari Takase
    • 2
  • Junichi Nojiri
    • 1
  • Masanobu Mizuguchi
    • 1
  • Hiroyuki Irie
    • 1
  1. 1.Department of Radiology, Faculty of MedicineSaga UniversitySaga City, SagaJapan
  2. 2.Departments of Pathology & Microbiology, Faculty of MedicineSaga UniversitySaga City, SagaJapan

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