Habitat-Based MRI Radiomics to Predict the Origin of Brain Metastasis

无线电技术 脑转移 栖息地 转移 医学 人工智能 生态学 计算机科学 生物 内科学 癌症
作者
Yiyao Sun,Peng Zhao,Mingchen Jiang,Jia Wei,Huan‐Huan Chen,Huan Wang,Yuqi Ding,Xiaoyu Wang,Juan Su,Xianzheng Sha,Chunna Yang,Dan Zhao,Bo Huang,Xiran Jiang
标识
DOI:10.2139/ssrn.4812498
摘要

Background: This study aims to explore the value of habitat-based MRI radiomics for predicting the origin of brain metastasis (BM).Methods: A primary cohort was developed with 384 patients from two centers, which comprises 734 BM lesions. An independent cohort was developed with 28 patients from a third center, which comprises 70 BM lesions. All patients underwent T1-weighted contrast-enhanced (T1-CE) and T2-weighted (T2W) MRI scans before treatment. Radiomics features were extracted from tumor active area (TAA) and peritumoral edema area (PEA) selected using the least absolute shrinkage and selection operator (LASSO) to construct radiomics signatures (Rads). The Rads were further integrated with volume of peritumoral edema (VPE) to build combined models for predicting the metastatic type of BM. Performance of the models were assessed through receiver operating characteristic (ROC) curve analysis.Findings: Rads derived from TAA and PEA both showed predictive power for identifying the origin of BM. The developed combined models generated the best performance in the training (AUCs, lung cancer (LC)/non-lung cancer (NLC) vs. small cell lung cancer (SCLC)/ non-small cell lung cancer (NSCLC) vs. breast cancer (BC)/ gastrointestinal cancer (GIC), 0.870 vs. 0.946 vs. 0.886), internal validation (AUCs, LC/NLC vs. SCLC/NSCLC vs. BC/GIC, 0.786 vs. 0.863 vs. 0.836) and external validation (AUCs, LC /NLC vs. SCLC/NSCLC vs. BC/GIC, 0.805 vs. 0.877 vs. 0.774) cohort.Interpretation: The developed habitat-based radiomics models can effectively identificat the metastatic tumor type of BM, and may be considered as a potential preoperative basis for timely treatment planning.Funding: The study was supported by the National Key R&D Program of China: BTIT (Grant NO.2022YFF1202803), and General Program from Department of Education of Liaoning Province (JYTMS20230132).Declaration of Interest: The authors declare that they have no competing interests.Ethical Approval: The ethics review boards of our hospitals granted ethical approval for this retrospective analysis, waiving the requirement for informed consent from patients.

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
EYRE完成签到,获得积分10
刚刚
怕黑的冰安完成签到,获得积分10
1秒前
samtol完成签到,获得积分10
1秒前
1秒前
哆啦A涵发布了新的文献求助10
1秒前
1秒前
咖啡不加糖完成签到,获得积分10
1秒前
布丁圆团完成签到,获得积分10
2秒前
Air云完成签到,获得积分10
3秒前
微微发布了新的文献求助10
3秒前
大肉猪完成签到,获得积分10
4秒前
顺利秋灵发布了新的文献求助10
4秒前
安古妮稀完成签到,获得积分10
4秒前
4秒前
直率的元菱完成签到,获得积分10
5秒前
璟晔完成签到,获得积分10
5秒前
LLL发布了新的文献求助10
6秒前
空城完成签到,获得积分10
6秒前
研究牲完成签到,获得积分10
6秒前
林小乌龟完成签到,获得积分10
6秒前
狼牧羊城完成签到,获得积分10
6秒前
painx完成签到,获得积分10
6秒前
王哪跑12完成签到,获得积分10
6秒前
dy完成签到,获得积分10
6秒前
maomao发布了新的文献求助10
6秒前
kkkhhh完成签到,获得积分10
6秒前
zxcvvbnm发布了新的文献求助10
6秒前
Qingzhu完成签到,获得积分10
7秒前
成功的强完成签到,获得积分10
7秒前
搞怪的白云完成签到 ,获得积分10
7秒前
eth发布了新的文献求助10
8秒前
樊川完成签到,获得积分10
8秒前
Clark完成签到,获得积分0
9秒前
如初完成签到,获得积分10
9秒前
yes完成签到,获得积分10
9秒前
山260完成签到 ,获得积分10
9秒前
清爽的元灵完成签到,获得积分10
10秒前
科研通AI6应助阿斯顿采纳,获得10
11秒前
愤怒的夜绿完成签到,获得积分10
11秒前
Sky我的小清新完成签到,获得积分10
11秒前
高分求助中
(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
Manipulating the Mouse Embryo: A Laboratory Manual, Fourth Edition 1000
INQUIRY-BASED PEDAGOGY TO SUPPORT STEM LEARNING AND 21ST CENTURY SKILLS: PREPARING NEW TEACHERS TO IMPLEMENT PROJECT AND PROBLEM-BASED LEARNING 500
Founding Fathers The Shaping of America 500
Distinct Aggregation Behaviors and Rheological Responses of Two Terminally Functionalized Polyisoprenes with Different Quadruple Hydrogen Bonding Motifs 460
Writing to the Rhythm of Labor Cultural Politics of the Chinese Revolution, 1942–1976 300
Lightning Wires: The Telegraph and China's Technological Modernization, 1860-1890 250
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 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 催化作用 遗传学 冶金 电极 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 4571325
求助须知:如何正确求助?哪些是违规求助? 3992463
关于积分的说明 12358271
捐赠科研通 3665475
什么是DOI,文献DOI怎么找? 2020103
邀请新用户注册赠送积分活动 1054441
科研通“疑难数据库(出版商)”最低求助积分说明 942019