短期肿瘤内和肿瘤周围时空CT放射组学预测非小细胞肺癌新辅助化疗免疫治疗的主要病理反应。

IF 4.7 2区 医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
European Radiology Pub Date : 2025-10-01 Epub Date: 2025-04-11 DOI:10.1007/s00330-025-11563-8
Xiao Bao, Qin Peng, Dongliang Bian, Jianjiao Ni, Shuchang Zhou, Peng Zhang, Yajia Gu, Jing Gong, Jingyun Shi
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引用次数: 0

摘要

目的:本研究旨在建立一种短期时空CT放射组学模型,通过解码肿瘤内和肿瘤周围的成像表型来预测NSCLC对新辅助化疗免疫治疗(NCI)的主要病理反应(MPR)。方法:共纳入来自两个中心的352例非小细胞肺癌NCI术后接受根治性手术的患者,形成培训队列(n = 186)、内部验证队列(n = 80)和外部验证队列(n = 86)。计算肿瘤内和肿瘤周围的CT放射组学特征,以捕获肿瘤微环境的成像表型。通过量化每个放射组学特征的变化来计算δ放射组学特征。通过分析放射组学特征的变化,利用支持向量机分类器建立短期时空模型。结果:多时间点短期时空模型在训练组、内部验证组和外部验证组的AUC值分别为0.84、0.77和0.75。结论:本研究表明,肿瘤内和肿瘤周围CT放射组学的短期时间分析是预测非小细胞肺癌MPR到NCI的一种有希望的方法。这些发现强调了放射组学作为评估治疗反应和指导非小细胞肺癌患者个性化治疗的非侵入性工具的潜力。新辅助化疗免疫治疗提高了非小细胞肺癌(NSCLC)的主要病理反应率,但哪些患者受益最大尚不清楚。结果基于CT图像的多时间点短期时空模型对评估非小细胞肺癌新辅助化疗免疫治疗后主要病理反应具有较高的预测能力。短期肿瘤内和肿瘤周围CT放射组学是预测非小细胞肺癌新辅助化疗免疫治疗主要病理反应的一种很有前途的方法。这些发现强调了放射组学作为评估非小细胞肺癌治疗反应的非侵入性工具的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Short-term intra- and peri-tumoral spatiotemporal CT radiomics for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer.

Purpose: This study aims to develop a short-term spatiotemporal CT radiomics model to predict the major pathological response (MPR) to neoadjuvant chemoimmunotherapy (NCI) in NSCLC by decoding the intra- and peri-tumoral imaging phenotypes.

Methods: A total of 352 patients undergoing curative surgery following NCI for NSCLC were enrolled from two centers, forming a training cohort (n = 186), an internal validation cohort (n = 80), and an external validation cohort (n = 86). Intra- and peri-tumoral CT radiomics features were computed to capture imaging phenotypes of the tumor microenvironment. Delta radiomics features were also calculated by quantifying changes in each radiomics feature. A support vector machine classifier was utilized to develop the short-term spatiotemporal model by analyzing changes in radiomics features.

Results: The multi-timepoint short-term spatiotemporal model, incorporating pre-treatment, post-treatment and delta radiomic features, achieved AUC values of 0.84, 0.77, and 0.75 in the training, internal validation, and external validation cohorts, respectively. These results significantly outperformed the RECIST model and pre-treatment model, with p-values < 0.05 indicating statistical significance.

Conclusion: This study demonstrates that short-term temporal analysis of intra- and peri-tumoral CT radiomics is a promising approach for predicting MPR to NCI in NSCLC. These findings underscore the potential of radiomics as a non-invasive tool for assessing treatment response and guiding personalized therapy in NSCLC patients.

Key points: Question Neoadjuvant chemoimmunotherapy has improved in major pathological response rate for non-small cell lung cancer (NSCLC), but it is unclear which patients will benefit most. Findings The multi-timepoint short-term spatiotemporal model based on CT pictures demonstrates high predictive performance for assessing major pathological response following neoadjuvant chemoimmunotherapy in NSCLC. Clinical relevance Short-term intra- and peri-tumoral CT radiomics is a promising approach for predicting major pathological response to neoadjuvant chemoimmunotherapy in NSCLC. These findings underscore the potential of radiomics as a non-invasive tool for assessing treatment response in NSCLC.

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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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