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 基因 等位基因 化学 微卫星 生物化学
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 Nature]
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
凹凸曼打小傻蛋完成签到 ,获得积分10
1秒前
Enoch完成签到,获得积分10
1秒前
Sara完成签到,获得积分10
1秒前
1秒前
zhuzhu发布了新的文献求助20
1秒前
YUZU发布了新的文献求助10
2秒前
2秒前
3秒前
shirleeyeahe完成签到,获得积分10
4秒前
4秒前
特特雷珀萨努完成签到 ,获得积分10
4秒前
京阿尼完成签到,获得积分10
4秒前
风雨发布了新的文献求助10
4秒前
orixero应助今非采纳,获得10
4秒前
平常的G完成签到,获得积分10
5秒前
5秒前
小石头完成签到,获得积分10
6秒前
6秒前
YL完成签到 ,获得积分10
6秒前
6秒前
上官若男应助整齐路灯采纳,获得10
6秒前
yyj发布了新的文献求助10
6秒前
细腻的麦片完成签到,获得积分20
7秒前
7秒前
君君完成签到,获得积分10
8秒前
cchen0902完成签到,获得积分10
8秒前
Sara发布了新的文献求助10
8秒前
8秒前
干饭闪电狼完成签到,获得积分10
9秒前
YUZU完成签到,获得积分10
10秒前
123完成签到,获得积分10
11秒前
pcx完成签到,获得积分10
11秒前
phd完成签到,获得积分10
12秒前
12秒前
曹志毅完成签到,获得积分10
12秒前
mito发布了新的文献求助10
13秒前
无悔呀发布了新的文献求助10
13秒前
14秒前
君君发布了新的文献求助10
14秒前
Yang完成签到,获得积分10
15秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 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 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527849
求助须知:如何正确求助?哪些是违规求助? 3107938
关于积分的说明 9287239
捐赠科研通 2805706
什么是DOI,文献DOI怎么找? 1540033
邀请新用户注册赠送积分活动 716893
科研通“疑难数据库(出版商)”最低求助积分说明 709794