Pre-treatment MDCT-based texture analysis for therapy response prediction in gastric cancer: Comparison with tumour regression grade at final histology
Pre-treatment MDCT-based texture analysis for therapy response prediction in gastric cancer: Comparison with tumour regression grade at final histology
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DOI：
10.1016/j.ejrad.2017.02.043
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发表时间：
2017-05-01
影响因子：
3.3
通讯作者：
De Cobelli, Francesco
中科院分区：
文献类型：
--
作者：
Giganti, Francesco;Marra, Paolo;De Cobelli, Francesco
目的：准确预测肿瘤对治疗的反应是肿瘤学的基础，以便在需要时提示个性化的治疗选择。本研究的目的是探讨术前多探测器计算机断层扫描（MDCT）纹理分析在预测胃癌患者新辅助治疗反应率中的能力。材料和方法：34例活检证实的胃癌患者在新辅助治疗前接受MDCT检查，并在治疗完成后接受根治性手术治疗。还评估了最终组织学的肿瘤消退等级（TRG）。从纹理分析的图像特征进行了量化，有和没有过滤器，从细到粗的纹理。TRG 1-3的患者被认为是应答者，而TRG 4-5被认为是无应答者。在单变量和多变量analysis.Results：14个参数显着不同的两个亚组之间的单变量分析，特别是熵和紧凑性（较高的应答者）和均匀性（较低的应答者）的反应率进行了评估。根据我们的模型，以下参数可以在多变量分析中识别无应答者：熵（158.72; Log OR：3.67; p = 0.010）和均方根（
Purpose: An accurate prediction of tumour response to therapy is fundamental in oncology, so as to prompt personalised treatment options if needed.The aim of this study was to investigate the ability of preoperative texture analysis from multi-detector computed tomography (MDCT) in the prediction of the response rate to neo-adjuvant therapy in patients with gastric cancer.Material and methods: Thirty-four patients with biopsy-proven gastric cancer were examined by MDCT before neo-adjuvant therapy, and treated with radical surgery after treatment completion. Tumour regression grade (TRG) at final histology was also assessed. Image features from texture analysis were quantified, with and without filters for fine to coarse textures. Patients with TRG 1-3 were considered responders while TRG 4-5 as non-responders. The response rate to neo-adjuvant therapy was assessed both at univariate and multivariate analysis.Results: Fourteen parameters were significantly different between the two subgroups at univariate analysis; in particular, entropy and compactness (higher in responders) and uniformity (lower in responders). According to our model, the following parameters could identify non-responders at multivariate analysis: entropy ( 158.72; Log OR: 3.67; p = 0.010) and root mean square (