CT增强对合并肝细胞癌-胆管癌成分预测的瘤内异质性及预后意义。

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
Wei Cai, Yongjian Zhu, Dengfeng Li, Bingzhi Wang, Xiaohong Ma, Xinming Zhao
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引用次数: 0

摘要

目的:构建基于CT增强比的栖息地成像与影像学特征相结合的组合图,预测合并肝癌-胆管癌(cHCC-CCA)的主要组成部分,并评价其对预后的分层能力。材料和方法:回顾性纳入经病理诊断为cHCC-CCA并行CT增强检查的患者,随机分为训练组和验证组。根据病理情况将肿瘤分为高肝癌组(高肝癌%)和低肝癌组(低肝癌%)。通过k-means算法将早期增强比图和晚期增强比图中的肿瘤体素聚类到不同的栖息地。对不同生境的体积分数进行了量化。使用逻辑回归分析来确定高hcc百分比的独立预测因子,构建预测模型,并将其可视化为模态图。通过接收机工作特性分析评估预测性能。生存率分析采用Kaplan-Meier法。结果:最终纳入165例患者,78例(47.27%)患者被归为高hcc %。确定了四种肿瘤栖息地。高hcc %组中栖息地1 (f1)的比例显著高于低hcc %组,而栖息地4 (f4)的比例显著低于低hcc %组。采用肿瘤包膜、电冕增强、延迟增强、f1和f4构建联合nomogram,训练组和验证组的auc分别为0.927和0.923。在无复发生存期和总生存期方面,预测高hcc %的组合nomogram预后优于预测低hcc %的组。结论:基于增强的CT栖息地成像具有预测cHCC-CCA主成分的潜力,为预后分层提供了工具。肝细胞-胆管合并癌(cHCC-CCA)的成分显著影响预后,但目前尚无有效的方法预测cHCC-CCA的主要成分。结果结合栖息地参数和影像学特征的组合nomogram可以预测cHCC-CCA的主要成分,有助于肝切除术后预后的分层。以栖息地为基础的联合图为cHCC-CCA患者的个性化和适当治疗提供了有效的工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intratumoral heterogeneity of CT enhancement for component prediction and prognostic significance in combined hepatocellular carcinoma‑cholangiocarcinoma.

Objectives: To construct a combined nomogram using CT enhancement ratio-based habitat imaging and radiological features in predicting the main component of combined hepatocellular carcinoma‑cholangiocarcinoma (cHCC-CCA), and to assess its ability for stratifying the prognosis.

Materials and methods: Patients with pathologically diagnosed cHCC-CCA who underwent contrast-enhanced CT examinations were retrospectively included and randomized into the training and validation cohorts. Tumors were grouped into high hepatocellular carcinoma (HCC) component (high-HCC%) and low-HCC component (low-HCC%) according to pathology. Voxels of tumor from early enhancement ratio and late enhancement ratio maps were clustered into different habitats through the k-means algorithm. The volume fractions of different habitats were quantified. Logistic regression analyses were utilized to identify independent predictors for high-HCC%, construct prediction models, and visualize them as a nomogram. The predictive performance was assessed by receiver operating characteristic analysis. Survival analysis was conducted using the Kaplan-Meier method.

Results: 165 patients were finally included, and 78 (47.27%) patients were grouped as high-HCC%. Four tumor habitats were determined. The fraction of habitat 1 (f1) was significantly higher, while the fraction of habitat 4 (f4) was significantly lower in the high-HCC% group than in the low-HCC% group. Tumor capsule, corona enhancement, delayed enhancement, f1, and f4 were used to construct the combined nomogram with AUCs of 0.927 and 0.923 in training and validation cohorts, respectively. The combined nomogram predicted-high-HCC% exhibited better prognoses than the predicted-low-HCC% groups in terms of recurrence-free survival and overall survival.

Conclusion: Enhancement-based CT habitat imaging exhibited potential for predicting the main component cHCC-CCA, and provided a tool for prognosis stratification.

Key points: Question The component of combined hepatocellular-cholangiocarcinoma (cHCC-CCA) significantly affected the prognosis, but there is no effective method for predicting the main component of cHCC-CCA. Findings The combined nomogram integrated habitat parameters and radiological features can predict the main component of cHCC-CCA and help stratify the prognosis after hepatectomy. Clinical relevance The habitat-based combined nomogram offers an effective tool for personalized and appropriate treatment in cHCC-CCA patients.

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来源期刊
European Radiology
European Radiology 医学-核医学
CiteScore
11.60
自引率
8.50%
发文量
874
审稿时长
2-4 weeks
期刊介绍: European Radiology (ER) continuously updates scientific knowledge in radiology by publication of strong original articles and state-of-the-art reviews written by leading radiologists. A well balanced combination of review articles, original papers, short communications from European radiological congresses and information on society matters makes ER an indispensable source for current information in this field. This is the Journal of the European Society of Radiology, and the official journal of a number of societies. From 2004-2008 supplements to European Radiology were published under its companion, European Radiology Supplements, ISSN 1613-3749.
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