ISSN 1004-4140
CN 11-3017/P
| Citation: |
ZHOU H, FENG F. Enhancing Esophageal Cancer Prognosis and Treatment Evaluation: Recent Advances in Computed Tomography Radiomics[J]. CT Theory and Applications, 2024, 33(3): 377-383. DOI: 10.15953/j.ctta.2023.155. (in Chinese).
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Esophageal cancer, a malignant tumor with devastatingly high incidence and mortality rates, necessitates prompt efficacy evaluation and accurate prognosis prediction. Radiomics is an algorithmic approach that extracts insightful quantitative parameters from medical images, offering a trove of high-throughput imaging features. This technology demonstrates significant predictive value in esophageal cancer, holding immense promise for personalized treatment and patient evaluation. This article delves into the latest research advancements of computed tomography radiomics in both prognosis prediction and efficacy evaluation of this aggressive disease.
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| 1. |
秦慧琳，欧静，苟月芹，王悦苏，罗慧，张小明，付茂勇，陈天武. CT影像组学术前预测可切除性食管胃结合部腺癌区域淋巴结转移的研究. CT理论与应用研究(中英文). 2025(03): 427-438 .
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