Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions

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Feb 15, 2026 (publication date) through Feb 3, 2026

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World Journal of Gastrointestinal Oncology

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1948-5204

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Gastrointest Oncol. Feb 15, 2026; 18(2): 114981
Published online Feb 15, 2026. doi: 10.4251/wjgo.v18.i2.114981

Table 1 Multiple data types included in high-quality multimodal radiomics research

Multimodal imaging technology	Ref.
Enhanced CT and MRI	Lemore et al[21], 2025
PET-CT and MRI	Pan et al[22], 2024
CT and MRI	Zeng et al[23], 2023
Enhanced CT and MRI	Ren et al[24], 2021
18F-FDG PET and MRI	V Giannini et al[25], 2019
CT and clinical data	Mahootiha et al[26], 2024
FDG-PET and CT	Salehjahromi et al[27], 2024
Enhanced CT, HE stained section and clinical data	Xiao et al[28], 2024

CT: Computed tomography; PET: Positron emission tomography; MRI: Magnetic resonance imaging; FDG: Fludeoxyglucose; HE: Hematoxylin-eosin.

Citation: Zhao ZX. Radiomics-based model for predicting neoadjuvant therapy response in esophageal cancer: Limitations and suggestions. World J Gastrointest Oncol 2026; 18(2): 114981
URL: https://www.wjgnet.com/1948-5204/full/v18/i2/114981.htm
DOI: https://dx.doi.org/10.4251/wjgo.v18.i2.114981