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基于CT影像组学的肿瘤内及肿瘤间异质性指标对接受新辅助化疗的胃癌患者预后的预测

CT radiomics-based intratumoral and intertumoral heterogeneity indicators for prognosis prediction in gastric cancer patients receiving neoadjuvant chemotherapy.

作者信息

Li Jiazheng, Li Zhenhui, Wang Yinkui, Li Yuzhuo, Zhang Jing, Li Ziyu, Tang Lei

机构信息

Department of Radiology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital and Institute, Beijing, China.

Department of Radiology, The Third Affiliated Hospital of Kunming Medical University, Yunnan Cancer Hospital, Yunnan Cancer Center, Kunming, China.

出版信息

Eur Radiol. 2025 Feb 14. doi: 10.1007/s00330-025-11430-6.

Abstract

OBJECTIVES

CT-based intratumoral and intertumoral heterogeneity indicators were integrated to develop a prognostic model for locally advanced gastric cancer (LAGC) patients undergoing neoadjuvant chemotherapy (NACT).

METHODS

This retrospective study included 568 LAGC patients treated with NACT from two hospitals. The intratumor heterogeneity score (ITHscore) was developed to quantify the intratumoral heterogeneity of LAGCs on CT; intertumoral heterogeneity was characterized by combining the primary tumor (PT) and lymph node (LN) sizes on CT. CT indicators were measured on baseline and posttreatment CT scans; the reduction rates (%Δ) were calculated. The overall survival (OS) of all patients was recorded. Cox regression analysis was used to construct a preoperative survival prediction model (Pre-SPM) based on the baseline indicators and %Δ indicators. The predictive performance of Pre-SPM for OS was assessed. The clinicopathological data, including the ypTNM stage, were also collected to evaluate their impact on OS.

RESULTS

Patients with lower baseline ITHscore had better prognoses (p < 0.001). Approximately 13.01% of patients exhibited contradictory changes in PT and LN sizes. Cox regression analysis selected the baseline ITHscore, baseline PT area, %ΔPT, and %ΔLN to establish the Pre-SPM. In the external validation cohort, the c-index of Pre-SPM for predicting OS was 0.72, while the AUC for predicting 5-year OS was 0.73. After adjusting for the influence of clinicopathological features, including the ypTNM stage, Pre-SPM remained an independent prognostic factor.

CONCLUSION

The Pre-SPM model, combining intratumoral heterogeneity and intertumoral heterogeneity, has the potential to predict the OS of LAGC patients receiving NACT.

KEY POINTS

Question Increased tumor heterogeneity in LAGC affects prognosis, but effective non-invasive CT methods for assessing intratumoral and intertumoral heterogeneity are lacking. Findings ITHscore indicates intratumoral heterogeneity, while changes in PT and LN sizes reflect intertumoral heterogeneity. The Pre-SPM model, integrating both, independently predicts patient outcomes. Clinical relevance Pre-SPM enhances prognosis prediction by quantifying intratumoral and intertumoral heterogeneity, potentially guiding more personalized and effective treatment strategies for patients with LAGC.

摘要

目的

整合基于CT的肿瘤内和肿瘤间异质性指标,以建立接受新辅助化疗(NACT)的局部晚期胃癌(LAGC)患者的预后模型。

方法

这项回顾性研究纳入了两家医院接受NACT治疗的568例LAGC患者。开发了肿瘤内异质性评分(ITHscore)以量化LAGC在CT上的肿瘤内异质性;肿瘤间异质性通过结合CT上的原发肿瘤(PT)和淋巴结(LN)大小来表征。在基线和治疗后CT扫描上测量CT指标;计算降低率(%Δ)。记录所有患者的总生存期(OS)。使用Cox回归分析基于基线指标和%Δ指标构建术前生存预测模型(Pre-SPM)。评估Pre-SPM对OS的预测性能。还收集了包括ypTNM分期在内的临床病理数据,以评估它们对OS的影响。

结果

基线ITHscore较低的患者预后较好(p < 0.001)。约13.01%的患者PT和LN大小出现矛盾变化。Cox回归分析选择基线ITHscore、基线PT面积、%ΔPT和%ΔLN来建立Pre-SPM。在外部验证队列中,Pre-SPM预测OS的c指数为0.72,而预测5年OS的AUC为0.73。在调整包括ypTNM分期在内的临床病理特征的影响后,Pre-SPM仍然是一个独立的预后因素。

结论

结合肿瘤内异质性和肿瘤间异质性的Pre-SPM模型有潜力预测接受NACT的LAGC患者的OS。

关键点

问题LAGC中肿瘤异质性增加影响预后,但缺乏评估肿瘤内和肿瘤间异质性的有效的非侵入性CT方法。发现ITHscore表明肿瘤内异质性,而PT和LN大小的变化反映肿瘤间异质性。整合两者的Pre-SPM模型独立预测患者结局。临床意义Pre-SPM通过量化肿瘤内和肿瘤间异质性增强预后预测,可能为LAGC患者指导更个性化和有效的治疗策略。

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