The Emerging Field of Radiomics in Esophageal Cancer: Current Evidence and Future Potential

Overview

Journal Transl Cancer Res

Specialty Oncology

Date 2019 Jan 29

PMID 30687593

Citations 25

Authors

Peter S N van Rossum

Cai Xu

David V Fried

Lucas Goense

Laurence E Court

Steven H Lin

Affiliations

Soon will be listed here.

Abstract

'Radiomics' is the name given to the emerging field of extracting additional information from standard medical images using advanced feature analysis. This innovative form of quantitative image analysis appears to have future potential for clinical practice in patients with esophageal cancer by providing an additional layer of information to the standard imaging assessment. There is a growing body of evidence suggesting that radiomics may provide incremental value for staging, predicting treatment response, and predicting survival in esophageal cancer, for which the current work-up has substantial limitations. This review outlines the available evidence and future potential for the application of radiomics in the management of patients with esophageal cancer. In addition, an overview of the current evidence on the importance of reproducibility of image features and the substantial influence of varying smoothing scales, quantization levels, and segmentation methods is provided.

Citing Articles

Prediction of lymphovascular invasion in esophageal squamous cell carcinoma by computed tomography-based radiomics analysis: 2D or 3D ?.

Li Y, Gu X, Yang L, Wang X, Wang Q, Xu X Cancer Imaging. 2024; 24(1):141.

PMID: 39420415 PMC: 11488362. DOI: 10.1186/s40644-024-00786-5.

Radiomics to predict PNI in ESCC.

Li Y, Yang L, Gu X, Wang X, Wang Q, Shi G Abdom Radiol (NY). 2024; .

PMID: 39311949 DOI: 10.1007/s00261-024-04562-8.

The role of FDG PET/CT radiomics in the prediction of pathological response to neoadjuvant treatment in patients with esophageal cancer.

Eifer M, Peters-Founshtein G, Yoel L, Pinian H, Steiner R, Klang E Rep Pract Oncol Radiother. 2024; 29(2):211-218.

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Radiomics diagnostic performance for predicting lymph node metastasis in esophageal cancer: a systematic review and meta-analysis.

Ma D, Zhou T, Chen J, Chen J BMC Med Imaging. 2024; 24(1):144.

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A radiomics nomogram based on contrast-enhanced CT for preoperative prediction of Lymphovascular invasion in esophageal squamous cell carcinoma.

Wang Y, Bai G, Huang W, Zhang H, Chen W Front Oncol. 2023; 13:1208756.

PMID: 37465108 PMC: 10351375. DOI: 10.3389/fonc.2023.1208756.

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