Pre-treatment CT-based radiomics nomogram for predicting microsatellite instability status in colorectal cancer

医学 列线图 无线电技术 结直肠癌 逻辑回归 放射科 回顾性队列研究 多元分析 肿瘤科 内科学 微卫星不稳定性 队列 癌症 等位基因 生物化学 化学 基因 微卫星
作者
Qian Pei,Xiaoping Yi,Chen Chen,Peipei Pang,Yan Fu,Guangwu Lei,Changyong Chen,Fengbo Tan,Guanghui Gong,Qingling Li,Hongyan Zai,Bihong T. Chen
出处
期刊:European Radiology [Springer Science+Business Media]
卷期号:32 (1): 714-724 被引量:50
标识
DOI:10.1007/s00330-021-08167-3
摘要

Stratification of microsatellite instability (MSI) status in patients with colorectal cancer (CRC) improves clinical decision-making for cancer treatment. The present study aimed to develop a radiomics nomogram to predict the pre-treatment MSI status in patients with CRC. A total of 762 patients with CRC confirmed by surgical pathology and MSI status determined with polymerase chain reaction (PCR) method were retrospectively recruited between January 2013 and May 2019. Radiomics features were extracted from routine pre-treatment abdominal pelvic computed tomography (CT) scans acquired as part of the patients’ clinical care. A radiomics nomogram was constructed using multivariate logistic regression. The performance of the nomogram was evaluated using discrimination, calibration, and decision curves. The radiomics nomogram incorporating radiomics signatures, tumor location, patient age, high-density lipoprotein expression, and platelet counts showed good discrimination between patients with non-MSI-H and MSI-H, with an area under the curve (AUC) of 0.74 [95% CI, 0.68–0.80] in the training cohort and 0.77 [95% CI, 0.68–0.85] in the validation cohort. Favorable clinical application was observed using decision curve analysis. The addition of pathological characteristics to the nomogram failed to show incremental prognostic value. We developed a radiomics nomogram incorporating radiomics signatures and clinical indicators, which could potentially be used to facilitate the individualized prediction of MSI status in patients with CRC. • There is an unmet need to non-invasively determine MSI status prior to treatment. However, the traditional radiological evaluation of CT is limited for evaluating MSI status. • Our non-invasive CT imaging-based radiomics method could efficiently distinguish patients with high MSI disease from those with low MSI disease. • Our radiomics approach demonstrated promising diagnostic efficiency for MSI status, similar to the commonly used IHC method.
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
冷酷的断缘完成签到 ,获得积分10
1秒前
accept发布了新的文献求助10
2秒前
2秒前
2秒前
可爱的函函应助Research采纳,获得30
4秒前
星xing完成签到,获得积分10
5秒前
5秒前
6秒前
小涂同学发布了新的文献求助20
6秒前
可可完成签到,获得积分10
6秒前
7秒前
我是老大应助敬业乐群采纳,获得10
9秒前
10秒前
zln完成签到,获得积分10
10秒前
accept完成签到,获得积分10
11秒前
Lux发布了新的文献求助10
11秒前
独特阑香发布了新的文献求助10
11秒前
今后应助吱哦周采纳,获得10
12秒前
M1AO关注了科研通微信公众号
13秒前
hallie应助zhuooo采纳,获得20
13秒前
13秒前
欢欢完成签到,获得积分10
14秒前
JamesPei应助成年大香蕉采纳,获得10
15秒前
16秒前
tyun完成签到 ,获得积分10
17秒前
科研通AI6.3应助欢欢采纳,获得10
18秒前
不吃香菜发布了新的文献求助10
19秒前
CSX完成签到 ,获得积分10
19秒前
曾经的怀亦完成签到,获得积分20
19秒前
22秒前
飘零枫叶完成签到,获得积分10
22秒前
萧海完成签到,获得积分10
25秒前
25秒前
25秒前
大力的冬萱应助落霞采纳,获得20
26秒前
26秒前
Hello应助PIEZO2采纳,获得10
26秒前
27秒前
小涂同学发布了新的文献求助10
27秒前
不安的米老鼠完成签到,获得积分10
27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
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7494505
求助须知:如何正确求助?哪些是违规求助? 9085914
关于积分的说明 19377995
捐赠科研通 7106346
什么是DOI,文献DOI怎么找? 3249749
关于科研通互助平台的介绍 2419147
邀请新用户注册赠送积分活动 2235461