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

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Radiology Pub Date : 2025-08-01 Epub Date: 2025-02-14 DOI:10.1007/s00330-025-11430-6
Jiazheng Li, Zhenhui Li, Yinkui Wang, Yuzhuo Li, Jing Zhang, Ziyu Li, Lei Tang
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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.

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基于CT放射学的肿瘤内及肿瘤间异质性指标对胃癌新辅助化疗患者预后的预测。
目的:综合基于ct的肿瘤内和肿瘤间异质性指标,建立局部晚期胃癌(LAGC)患者接受新辅助化疗(NACT)的预后模型。方法:本回顾性研究纳入两家医院568例接受NACT治疗的LAGC患者。采用肿瘤内异质性评分(ITHscore)来量化LAGCs在CT上的肿瘤内异质性;肿瘤间异质性的特征是结合原发肿瘤(PT)和淋巴结(LN)在CT上的大小。在基线和治疗后CT扫描上测量CT指标;计算还原率(%Δ)。记录所有患者的总生存期(OS)。采用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。收集临床病理数据,包括ypTNM分期,以评估其对OS的影响。结果:基线ITHscore较低的患者预后较好(p)。结论:结合肿瘤内异质性和肿瘤间异质性的Pre-SPM模型有可能预测接受NACT的LAGC患者的OS。LAGC中肿瘤异质性的增加影响预后,但缺乏有效的非侵入性CT方法来评估肿瘤内和肿瘤间异质性。ITHscore显示肿瘤内异质性,而PT和LN大小的变化反映肿瘤间异质性。Pre-SPM模型将两者结合起来,独立地预测患者的预后。Pre-SPM通过量化肿瘤内和肿瘤间异质性来提高预后预测,可能指导LAGC患者更个性化和有效的治疗策略。
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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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