Improved Prediction of Epidermal Growth Factor Receptor Status by Combined Radiomics of Primary Nonsmall-Cell Lung Cancer and Distant Metastasis

医学 肿瘤科 表皮生长因子受体 磁共振成像 转移 肺癌 原发性肿瘤 内科学 脑转移 骨转移 队列 癌症 核医学 病理 放射科
作者
Yue Hu,Yikang Geng,Huan Wang,Huanhuan Chen,Zekun Wang,Langyuan Fu,Bo Huang,Wenyan Jiang
出处
期刊:Journal of Computer Assisted Tomography [Lippincott Williams & Wilkins]
卷期号:48 (5): 780-788 被引量:2
标识
DOI:10.1097/rct.0000000000001591
摘要

Objectives This study aimed to investigate radiomics based on primary nonsmall-cell lung cancer (NSCLC) and distant metastases to predict epidermal growth factor receptor (EGFR) mutation status. Methods A total of 290 patients (mean age, 58.21 ± 9.28) diagnosed with brain (BM, n = 150) or spinal bone metastasis (SM, n = 140) from primary NSCLC were enrolled as a primary cohort. An external validation cohort, consisting of 69 patients (mean age, 59.87 ± 7.23; BM, n = 36; SM, n = 33), was enrolled from another center. Thoracic computed tomography–based features were extracted from the primary tumor and peritumoral area and selected using the least absolute shrinkage and selection operator regression to build a radiomic signature (RS-primary). Contrast-enhanced magnetic resonance imaging–based features were calculated and selected from the BM and SM to build RS-BM and RS-SM, respectively. The RS-BM-Com and RS-SM-Com were developed by integrating the most important features from the primary tumor, BM, and SM. Results Six computed tomography–based features showed high association with EGFR mutation status: 3 from intratumoral and 3 from peritumoral areas. By combination of features from primary tumor and metastases, the developed RS-BM-Com and RS-SM-Com performed well with areas under curve in the training (RS-BM-Com vs RS-BM, 0.936 vs 0.885, P = 0.177; RS-SM-Com vs RS-SM, 0.929 vs 0.843, P = 0.003), internal validation (RS-BM-Com vs RS-BM, 0.920 vs 0.858, P = 0.492; RS-SM-Com vs RS-SM, 0.896 vs 0.859, P = 0.379), and external validation (RS-BM-Com vs RS-BM, 0.882 vs 0.805, P = 0.263; RS-SM-Com vs RS-SM, 0.865 vs 0.816, P = 0.312) cohorts. Conclusions This study indicates that the accuracy of detecting EGFR mutations significantly enhanced in the presence of metastases in primary NSCLC. The established radiomic signatures from this approach may be useful as new predictors for patients with distant metastases.
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
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
hkh发布了新的文献求助10
刚刚
窗外的天气完成签到,获得积分10
1秒前
顾矜应助Reese采纳,获得10
1秒前
gqq发布了新的文献求助10
1秒前
CCC发布了新的文献求助20
2秒前
2秒前
踏实汉堡完成签到,获得积分10
2秒前
灵波完成签到,获得积分10
5秒前
5秒前
完美世界应助NONO采纳,获得10
6秒前
柔弱的便当完成签到,获得积分10
6秒前
6秒前
华仔应助tutu采纳,获得50
6秒前
隐形曼青应助scarecrow采纳,获得10
7秒前
8秒前
chenzy发布了新的文献求助10
8秒前
plz94完成签到 ,获得积分10
9秒前
WEE发布了新的文献求助10
9秒前
11秒前
领导范儿应助病毒遗传学采纳,获得30
11秒前
11秒前
11秒前
12秒前
12秒前
xiaohao完成签到,获得积分10
12秒前
橘子发布了新的文献求助10
12秒前
土豪的严青完成签到,获得积分10
13秒前
活着完成签到,获得积分10
13秒前
Reese发布了新的文献求助10
14秒前
14秒前
16秒前
16秒前
bohanhan发布了新的文献求助10
17秒前
小马甲应助结实的芷蝶采纳,获得10
17秒前
勾陈一发布了新的文献求助10
18秒前
Job发布了新的文献求助10
19秒前
397753034完成签到,获得积分10
19秒前
19秒前
高贵的馒头完成签到,获得积分10
21秒前
21秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7265093
求助须知:如何正确求助?哪些是违规求助? 8886121
关于积分的说明 18780107
捐赠科研通 6942807
什么是DOI,文献DOI怎么找? 3202824
关于科研通互助平台的介绍 2375999
邀请新用户注册赠送积分活动 2178718