How to update esophageal masses imaging using literature review (MRI and CT features)
- Open Access
- 01-12-2024
- Gastrointestinal Stromal Tumor
- Educational Review
- Authors
- Jinrong Qu
- Zhaoqi Wang
- Hongkai Zhang
- Yanan Lu
- Zhengyan Jia
- Shuang Lu
- Keke Zhao
- Funing Chu
- Bingmei Bai
- Yan Zheng
- Qingxin Xia
- Xu Li
- Shaoyu Wang
- Ihab R. Kamel
- Published in
- Insights into Imaging | Issue 1/2024
Abstract
MRI offers new opportunities for detailed visualization of the different layers of the esophageal wall, as well as early detection and accurate characterization of esophageal lesions. Staging of esophageal tumors including extramural extent of disease, and status of the adjacent organ can also be performed by MRI with higher accuracy compared to other imaging modalities including CT and esophageal endoscopy. Although MDCT appears to be the primary imaging modality that is indicated for preoperative staging of esophageal cancer to assess tumor resectability, MDCT is considered less accurate in T staging. This review aims to update radiologists about emerging imaging techniques and the imaging features of various esophageal masses, emphasizing the imaging features that differentiate between esophageal masses, demonstrating the critical role of MRI in esophageal masses.
Critical relevance statement
MRI features may help differentiate mucosal high-grade neoplasia from early invasive squamous cell cancer of the esophagus, also esophageal GISTs from leiomyomas, and esophageal malignant melanoma has typical MR features.
Key Points
-
MRI can accurately visualize different layers of the esophagus potentially has a role in T staging.
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MR may accurately delineate esophageal fistulae, especially small mediastinal fistulae.
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MRI features of various esophageal masses are helpful in the differentiation.
Graphical Abstract
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- Title
- How to update esophageal masses imaging using literature review (MRI and CT features)
- Authors
-
Jinrong Qu
Zhaoqi Wang
Hongkai Zhang
Yanan Lu
Zhengyan Jia
Shuang Lu
Keke Zhao
Funing Chu
Bingmei Bai
Yan Zheng
Qingxin Xia
Xu Li
Shaoyu Wang
Ihab R. Kamel
- Publication date
- 01-12-2024
- Publisher
- Springer Vienna
- Published in
-
Insights into Imaging / Issue 1/2024
Electronic ISSN: 1869-4101 - DOI
- https://doi.org/10.1186/s13244-024-01754-0
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