DataSheet_1_Diagnostic Performance of Vascular Permeability and Texture Parameters for Evaluating the Response to Neoadjuvant Chemoradiotherapy in Patients With Esophageal Squamous Cell Carcinoma.pdf
收藏frontiersin.figshare.com2023-06-10 更新2025-01-08 收录
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https://frontiersin.figshare.com/articles/dataset/DataSheet_1_Diagnostic_Performance_of_Vascular_Permeability_and_Texture_Parameters_for_Evaluating_the_Response_to_Neoadjuvant_Chemoradiotherapy_in_Patients_With_Esophageal_Squamous_Cell_Carcinoma_pdf/14611623/1
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BackgroundEsophageal squamous cell carcinoma (ESCC) is an aggressive type of cancer, associated with poor prognosis. The development of an accurate and non-invasive method to evaluate the pathologic response of patients with ESCC to chemoradiotherapy remains a critical issue. Therefore, the aim of this study was to assess the importance of vascular permeability and texture parameters in predicting the response to neoadjuvant chemoradiotherapy (NACRT) in patients with ESCC.MethodsThis prospective analysis included patients with T1–T2 stage of ESCC, without either lymphatic or metastasis, and distant metastasis. All patients underwent surgery having received two rounds of NACRT. All patients underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) twice, i.e., before the first NACRT and after the second NACRT. Patients were assessed for treatment response at 30 days after the second NACRT. Patients were divided into the complete response (CR) and partial response (PR) groups based on their responses to NACRT. Vascular permeability and texture parameters were extracted from the DCE-MRI scans. After assessing the diagnostic performance of individual parameters, a combined model with vascular permeability and texture parameters was generated to predict the response to NACRT.ResultsIn this study, the CR and PR groups included 16 patients each. The volume transfer constant (Ktrans), extracellular extravascular volume fraction (ve), and entropy values, as well as changes to each of these parameters, extracted from the second DCE-MRI scans, showed significant differences between the CR and PR groups. The area under the curve (AUC) of Ktrans, ve, and entropy values showed good diagnostic ability (0.813, 0.789, and 0.707, respectively). A logistic regression model combining Ktrans, ve, and entropy had significant diagnostic ability (AUC=0.977).ConclusionsThe use of a combined model with vascular permeability and texture parameters can improve post-NACRT prognostication in patients with ESCC.
背景:食管鳞状细胞癌(ESCC)是一种侵袭性较强的癌症,其预后较差。开发一种准确且无创的方法以评估ESCC患者对化疗放疗(CRT)的病理反应,仍然是一个关键问题。因此,本研究旨在评估血管通透性和纹理参数在预测ESCC患者对新辅助化疗放疗(NACRT)反应中的重要性。方法:本研究为一项前瞻性分析,包括T1-T2阶段的ESCC患者,无淋巴结或远处转移。所有患者接受了NACRT两轮治疗后进行手术。所有患者均进行了两次动态对比增强磁共振成像(DCE-MRI),即第一次NACRT前和第二次NACRT后。患者在第二次NACRT后30天评估治疗反应。根据患者对NACRT的反应,将患者分为完全缓解(CR)和部分缓解(PR)组。从DCE-MRI扫描中提取血管通透性和纹理参数。在评估单个参数的诊断性能后,生成包含血管通透性和纹理参数的联合模型以预测NACRT的反应。结果:在本研究中,CR组和PR组各有16名患者。从第二次DCE-MRI扫描中提取的体积传递常数(Ktrans)、细胞外细胞外体积分数(ve)和熵值,以及这些参数的变化,在CR组和PR组之间存在显著差异。Ktrans、ve和熵值的曲线下面积(AUC)显示出良好的诊断能力(分别为0.813、0.789和0.707)。Ktrans、ve和熵值结合的逻辑回归模型具有显著的诊断能力(AUC=0.977)。结论:使用包含血管通透性和纹理参数的联合模型可以改善ESCC患者在NACRT后的预后。
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