ISSN 1004-4140
CN 11-3017/P
周慧, 冯峰. 食管癌疗效评价及预后的CT影像组学研究进展[J]. CT理论与应用研究(中英文), xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2023.155.
引用本文: 周慧, 冯峰. 食管癌疗效评价及预后的CT影像组学研究进展[J]. CT理论与应用研究(中英文), xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2023.155.
ZHOU H, FENG F. Enhancing Esophageal Cancer Prognosis and Treatment Evaluation: Recent Advances in Computed Tomography Radiomics[J]. Computerized Tomography Theory and Applications, xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2023.155. (in Chinese).
Citation: ZHOU H, FENG F. Enhancing Esophageal Cancer Prognosis and Treatment Evaluation: Recent Advances in Computed Tomography Radiomics[J]. Computerized Tomography Theory and Applications, xxxx, x(x): 1-7. DOI: 10.15953/j.ctta.2023.155. (in Chinese).

食管癌疗效评价及预后的CT影像组学研究进展

Enhancing Esophageal Cancer Prognosis and Treatment Evaluation: Recent Advances in Computed Tomography Radiomics

  • 摘要: 食管癌是一种发病率和死亡率较高的恶性肿瘤,及时的疗效评价和预后预测是必要的。影像组学通过算法从医学图像中挖掘病灶的高通量特征并进行分析,获得可视化定量参数,为患者的个体化治疗提供依据,在预测食管癌的治疗反应和预后中有较高的价值。本文就CT影像组学在食管癌预后和疗效评价中的研究进展进行综述。

     

    Abstract: 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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