利用放射组学鉴别增强 CT 成像上的胆囊良性和恶性病变。

IF 16.4 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY
Ying-Ying Zhuang, Yun Feng, Dan Kong, Lili Guo
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引用次数: 0

摘要

背景胆囊癌是一种罕见但具有侵袭性的恶性肿瘤,通常在晚期才被诊断出来,且预后较差。目的开发一种放射组学模型,利用增强型计算机断层扫描(CT)成像来区分胆囊良性病变和恶性病变。材料和方法所有患者都进行了术前对比增强 CT 扫描,由两名放射科医生进行独立分析。在门静脉相图像上手动划定感兴趣区,并提取放射组学特征。采用 mRMR 和 LASSO 方法进行特征选择。患者按 7:3 的比例随机分为训练组和测试组。结果在训练组中,临床模型和放射组学模型的AUC分别为0.914和0.968,提名图模型的AUC为0.980。提名图和放射组学特征之间或临床特征和放射组学特征之间的诊断准确率差异有统计学意义(P 0.05)(P >0.05)。在测试组中,临床模型和放射组学模型的AUC分别为0.904和0.941,提名图模型的AUC为0.948。结论:利用增强 CT 成像进行放射组学分析可有效区分胆囊良恶性病变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrimination between benign and malignant gallbladder lesions on enhanced CT imaging using radiomics.
BACKGROUND Gallbladder cancer is a rare but aggressive malignancy that is often diagnosed at an advanced stage and is associated with poor outcomes. PURPOSE To develop a radiomics model to discriminate between benign and malignant gallbladder lesions using enhanced computed tomography (CT) imaging. MATERIAL AND METHODS All patients had a preoperative contrast-enhanced CT scan, which was independently analyzed by two radiologists. Regions of interest were manually delineated on portal venous phase images, and radiomics features were extracted. Feature selection was performed using mRMR and LASSO methods. The patients were randomly divided into training and test groups at a ratio of 7:3. Clinical and radiomics parameters were identified in the training group, three models were constructed, and the models' prediction accuracy and ability were evaluated using AUC and calibration curves. RESULTS In the training group, the AUCs of the clinical model and radiomics model were 0.914 and 0.968, and that of the nomogram model was 0.980, respectively. There were statistically significant differences in diagnostic accuracy between nomograms and radiomics features (P <0.05). There was no significant difference in diagnostic accuracy between the nomograms and clinical features (P >0.05) or between the clinical features and radiomics features (P >0.05). In the testing group, the AUC of the clinical model and radiomics model were 0.904 and 0.941, and that of the nomogram model was 0.948, respectively. There was no significant difference in diagnostic accuracy between the three groups (P >0.05). CONCLUSION It was suggested that radiomics analysis using enhanced CT imaging can effectively discriminate between benign and malignant gallbladder lesions.
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来源期刊
Accounts of Chemical Research
Accounts of Chemical Research 化学-化学综合
CiteScore
31.40
自引率
1.10%
发文量
312
审稿时长
2 months
期刊介绍: Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.
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