Combined radiomics of primary tumour and bone metastasis improve the prediction of EGFR mutation status and response to EGFR-TKI therapy for NSCLC

医学 肿瘤科 内科学 表皮生长因子受体 接收机工作特性 无线电技术 转移 靶向治疗 骨转移 癌症 放射科
作者
Yuan Cheng,Huan Wang,Wendi Yuan,Haotian Wang,Yuheng Zhu,Huanhuan Chen,Wenyan Jiang
出处
期刊:Physica Medica [Elsevier BV]
卷期号:116: 103177-103177 被引量:5
标识
DOI:10.1016/j.ejmp.2023.103177
摘要

Purpose To develop radiomics models of primary tumour and spinal metastases to predict epidermal growth factor receptor (EGFR) mutations and therapeutic response to EGFR-tyrosine kinase inhibitor (TKI) in patients with metastatic non-small-cell lung cancer (NSCLC). Methods We enrolled 203 patients with spinal metastases between December 2017 and September 2021, classified as patients with the EGFR mutation or EGFR wild-type. All patients underwent thoracic CT and spinal MRI scans before any treatment. Radiomics analysis was performed to extract features from primary tumour and metastases images and identify predictive features with the least absolute shrinkage and selection operator. Radiomics signatures (RS) were constructed based on primary tumour (RS-Pri), metastases (RS-Met), and in combination (RS-Com) to predict EGFR mutation status and response to EGFR-TKI. Receiver operating characteristic (ROC) curve analysis with 10-fold cross-validation was applied to assess the performance of the models. Results To predict the EGFR mutation status, the RS based on the combination of primary tumour and metastases improved the prediction AUCs compared to those based on the primary tumour or metastasis alone in the training (RS-Com-EGFR: 0.927) and validation (RS-Com-EGFR: 0.812) cohorts. To predict response to EGFR-TKI, the developed RS based on combined primary tumour and metastasis generated the highest AUCs in the training (RS-Com-TKI: 0.880) and validation (RS-Com-TKI: 0.798) cohort. Conclusions Primary NSCLC and spinal metastases can provide complementary information to predict the EGFR mutation status and response to EGFR-TKI. The developed models that integrate primary lesions and metastases may be potential imaging markers to guide individual treatment decisions.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
suger发布了新的文献求助10
刚刚
1秒前
干雅柏完成签到,获得积分10
2秒前
八九完成签到,获得积分10
3秒前
4秒前
干雅柏发布了新的文献求助10
5秒前
Stardust发布了新的文献求助10
5秒前
黑白和完成签到 ,获得积分10
6秒前
yang完成签到,获得积分10
7秒前
金蛋蛋发布了新的文献求助10
8秒前
量子星尘发布了新的文献求助10
10秒前
14秒前
19秒前
淡定的电源完成签到,获得积分10
22秒前
22秒前
lm发布了新的文献求助10
25秒前
27秒前
善学以致用应助孤独问旋采纳,获得10
27秒前
孙燕应助霸气安筠采纳,获得30
28秒前
李健应助科研通管家采纳,获得10
28秒前
汉堡包应助科研通管家采纳,获得10
28秒前
SYLH应助科研通管家采纳,获得20
28秒前
SYLH应助科研通管家采纳,获得10
28秒前
上官若男应助科研通管家采纳,获得10
28秒前
烟花应助科研通管家采纳,获得10
28秒前
丘比特应助科研通管家采纳,获得10
28秒前
SYLH应助科研通管家采纳,获得10
29秒前
CAOHOU应助科研通管家采纳,获得10
29秒前
SYLH应助科研通管家采纳,获得10
29秒前
CAOHOU应助科研通管家采纳,获得10
29秒前
SYLH应助科研通管家采纳,获得10
29秒前
科研通AI2S应助科研通管家采纳,获得10
29秒前
JamesPei应助科研通管家采纳,获得10
29秒前
ding应助科研通管家采纳,获得10
29秒前
29秒前
SYLH应助科研通管家采纳,获得10
29秒前
CAOHOU应助科研通管家采纳,获得10
29秒前
SYLH应助科研通管家采纳,获得20
29秒前
29秒前
31秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
‘Unruly’ Children: Historical Fieldnotes and Learning Morality in a Taiwan Village (New Departures in Anthropology) 400
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
基于可调谐半导体激光吸收光谱技术泄漏气体检测系统的研究 350
Robot-supported joining of reinforcement textiles with one-sided sewing heads 320
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3989378
求助须知:如何正确求助?哪些是违规求助? 3531442
关于积分的说明 11254002
捐赠科研通 3270126
什么是DOI,文献DOI怎么找? 1804887
邀请新用户注册赠送积分活动 882087
科研通“疑难数据库(出版商)”最低求助积分说明 809173