基于 CT 的放射学共识聚类与临床 IA 期腺癌的肿瘤生物学行为相关性:一项回顾性研究。

IF 4 2区 医学 Q2 ONCOLOGY
Translational lung cancer research Pub Date : 2024-08-31 Epub Date: 2024-08-12 DOI:10.21037/tlcr-24-283
Xin Wen, Meng-Wen Liu, Bin Qiu, Yan-Mei Wang, Jiu-Ming Jiang, Xue Zhang, Xu Jiang, Lin Li, Meng Li, Li Zhang
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引用次数: 0

摘要

背景:研究表明,放射组学模型能够预测肺癌的特征。然而,由于放射组学的可解释性较差,其在临床环境中的应用仍然受到限制。本研究试图验证放射组学特征(RFs)与临床IA期腺癌生物学行为之间的相关性:对2005年5月至2018年12月期间确诊为临床IA期肺腺癌并接受切除术的患者进行回顾性分析。利用术前计算机断层扫描(CT)图像对原发肿瘤进行了详细的放射组学检查。随后,利用共识聚类法根据患者的射频信号对其进行分组,从而比较各组间的肿瘤生物学特征。通过 Kaplan-Meier 和 Cox 分析评估了各组间的生存差异:对 669 名患者[中位年龄 58 岁,四分位数间距(IQR)50-64 岁,男性 257 人,女性 412 人]进行了共识聚类分析,发现了三个不同的聚类。群组 2 与放射学实体腺癌有关[324 例中有 119 例(36.7%),PConclusions.COM]:根据临床 IA 期腺癌的 RFs,在共识群组中发现了肿瘤生物学行为的差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CT-based radiomic consensus clustering association with tumor biological behavior in clinical stage IA adenocarcinoma: a retrospective study.

Background: Research has demonstrated that radiomics models are capable of forecasting the characteristics of lung cancer. Nevertheless, due to radiomics' poor interpretability, its applicability in clinical settings remains restricted. This investigation sought to verify the correlation between radiomics features (RFs) and the biological behavior of clinical stage IA adenocarcinomas.

Methods: A retrospective analysis was conducted on patients diagnosed with clinical stage IA lung adenocarcinoma who underwent resection between May 2005 and December 2018. Detailed radiomics examination of the primary tumor was carried out utilizing preoperative computed tomography (CT) images. Subsequently, patients were grouped based on their RFs using consensus clustering, enabling comparison of tumor biological characteristics among the clusters. Survival disparities among the clusters were evaluated through Kaplan-Meier and Cox analyses.

Results: A consensus cluster analysis was performed on 669 patients [median age, 58 years; interquartile range (IQR), 50-64 years, 257 males, 412 females], and three distinct clusters were identified. Cluster 2 was associated with radiological solid adenocarcinoma [119 of 324 (36.7%), P<0.001], larger tumors with median tumor size of 2.1 cm with IQR of 1.7 to 2.5 cm (P<0.001), central tumor [91 of 324 (28.1%), P=0.002], pleural invasion [87 of 324 (26.9%), P<0.001], occult lymph node metastasis (ONM) [106 of 324 (32.7%), P<0.001], and a higher frequency of metastasis or recurrence [62 of 324 (19.1%), P<0.001]. The frequency of histological grade 3 was the highest in Cluster 3 [8 of 34 (23.5%), P<0.001]. Cluster 1 was associated with pure ground glass nodules (pGGNs) [184 of 310 (59.4%), P<0.001], smaller tumors with median tumor size of 1.1 cm with IQR of 0.8 to 1.4 cm (P<0.001), no pleural invasion [276 of 310 (89.0%), P<0.001], histological grade 1 [114 of 248 (46.0%), P<0.001], ONM negative [292 of 310 (94.2%), P<0.001], and a lower rate of metastasis or recurrence [298 of 310 (96.1%), P<0.001].

Conclusions: Differences in tumor biological behavior were detected among consensus clusters based on the RFs of clinical stage IA adenocarcinoma.

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来源期刊
CiteScore
7.20
自引率
2.50%
发文量
137
期刊介绍: Translational Lung Cancer Research(TLCR, Transl Lung Cancer Res, Print ISSN 2218-6751; Online ISSN 2226-4477) is an international, peer-reviewed, open-access journal, which was founded in March 2012. TLCR is indexed by PubMed/PubMed Central and the Chemical Abstracts Service (CAS) Databases. It is published quarterly the first year, and published bimonthly since February 2013. It provides practical up-to-date information on prevention, early detection, diagnosis, and treatment of lung cancer. Specific areas of its interest include, but not limited to, multimodality therapy, markers, imaging, tumor biology, pathology, chemoprevention, and technical advances related to lung cancer.
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