Radiomic assessment of oesophageal adenocarcinoma: a critical review of 18F-FDG PET/CT, PET/MRI and CT

Radiomic assessment of oesophageal adenocarcinoma: a critical review of 18F-FDG PET/CT, PET/MRI and CT

Abstract Objectives Radiomic models present an avenue to improve oesophageal adenocarcinoma assessment through quantitative medical image analysis. However, model selection is complicated by the abundance of available predictors and the uncertainty of their relevance and reproducibility. This analys...

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Bibliographic Details
Main Authors: Robert J. O’Shea, Chris Rookyard, Sam Withey, Gary J. R. Cook, Sophia Tsoka, Vicky Goh
Format: Article
Language:English
Published: SpringerOpen 2022-06-01
Series:Insights into Imaging
Subjects:
Oesophageal neoplasms
Adenocarcinoma
Prognosis
Machine learning
Precision medicine
Online Access:https://doi.org/10.1186/s13244-022-01245-0

Internet

https://doi.org/10.1186/s13244-022-01245-0

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