[Application of CT Radiomics in Predicting Differentiation Level of Lung Adenocarcinoma].

Q4 Medicine

中国医疗器械杂志 Pub Date : 2024-11-30 DOI:10.12455/j.issn.1671-7104.240152

Shuai Zhang, Peng Han, Suya Zhang, Dingli Ye, Zhicheng Huang

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引用次数: 0

Abstract

Objective: To investigate the value of prediction of the differentiation level in lung adenocarcinoma based on CT radiomics model.

Methods: Data from 507 patients with postoperative pathological confirmed lung adenocarcinoma and clearly defined differentiation level of lung adenocarcinoma were retrospective analyzed. The enrolled cases were divided into poorly differentiation group and moderate-to-high differentiation group based on the grading criteria. CT image features were extracted, and seven machine learning algorithms were used to construct prediction models to obtain the AUC, accuracy, specificity, and sensitivity.

Results: The poorly differentiation group consisted of 175 cases, while the moderate-to-high differentiation group had 332 cases. The XGBoost model demonstrated the best performance, with the AUC, accuracy, specificity, and sensitivity of this model on the validation set being 0.878, 0.829, 0.667, and 0.727, respectively.

Conclusion: CT radiomics model can effectively predict the differentiation level of poorly differentiation and moderate-to-high differentiation in lung adenocarcinoma.

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[CT放射组学在预测肺腺癌分化水平中的应用]。

目的：探讨基于CT放射组学模型预测肺腺癌分化水平的价值。方法：回顾性分析507例术后病理确诊的肺腺癌及明确肺腺癌分化水平的患者资料。根据分级标准将入组病例分为低分化组和中高分化组。提取CT图像特征，采用7种机器学习算法构建预测模型，获得AUC、准确率、特异性和灵敏度。结果：低分化组175例，中高分化组332例。XGBoost模型表现最好，在验证集上的AUC为0.878，准确率为0.829，特异性为0.667，灵敏度为0.727。结论：CT放射组学模型可有效预测肺腺癌低分化和中高分化的分化水平。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

中国医疗器械杂志 Medicine-Medicine (all)

CiteScore

0.40

自引率

0.00%

发文量

8086

期刊介绍： Chinese Journal of Medical Instrumentation mainly reports on the development, progress, research and development, production, clinical application, management, and maintenance of medical devices and biomedical engineering. Its aim is to promote the exchange of information on medical devices and biomedical engineering in China and turn the journal into a high-quality academic journal that leads academic directions and advocates academic debates.