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Review
. 2019 Jun;44(6):2048-2058.
doi: 10.1007/s00261-018-1724-8.

Radiomics in esophageal and gastric cancer

Bert-Ram Sah  1 , Kasia Owczarczyk  1 , Musib Siddique  1 , Gary J R Cook  1   2 , Vicky Goh  3   4   5
Affiliations
Review

Radiomics in esophageal and gastric cancer

Bert-Ram Sah et al. Abdom Radiol (NY). 2019 Jun.

Abstract

Esophageal, esophago-gastric, and gastric cancers are major causes of cancer morbidity and cancer death. For patients with potentially resectable disease, multi-modality treatment is recommended as it provides the best chance of survival. However, quality of life may be adversely affected by therapy, and with a wide variation in outcome despite multi-modality therapy, there is a clear need to improve patient stratification. Radiomic approaches provide an opportunity to improve tumor phenotyping. In this review we assess the evidence to date and discuss how these approaches could improve outcome in esophageal, esophago-gastric, and gastric cancer.

Keywords: Computed tomography; Esophageal cancer; Esophagogastric junction cancer; Magnetic resonance imaging; Positron emission tomography; Radiomics.

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Conflict of interest statement

Conflict of interest Bert-Ram Sah, Kasia Owczarczyk, Musib Siddique and Gary Cook declare that he/she have no conflicts of interest. Vicky Goh receives research support from Siemens Healthcare; this is not related to the topic of this manuscript.

Figures

Fig. 1
Fig. 1
Typical pathways for the management of patients with newly diagnosed esophageal and esophago-gastric cancer.
Fig. 2
Fig. 2
Typical pathways for the management of patients with newly diagnosed gastric cancer.
Fig. 3
Fig. 3
Schema demonstrating typical radiomics pipeline.
Fig. 4
Fig. 4
Example of tumor segmentation for extraction of radiomic features from an axial PET image. In the right image the corresponding standardized uptake values for the region-of-interest is displayed.
See this image and copyright information in PMC

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