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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
1秒前
mocheer完成签到,获得积分10
2秒前
xiaoma发布了新的文献求助10
3秒前
ding应助努努酱采纳,获得10
4秒前
5秒前
苏书白应助校长兼体委采纳,获得10
6秒前
颜沛文发布了新的文献求助10
6秒前
6秒前
bubble完成签到 ,获得积分10
7秒前
彭于晏应助sun采纳,获得10
7秒前
fly the bike应助星星气球采纳,获得10
8秒前
8秒前
脑洞疼应助飓风卡塔琳娜采纳,获得10
8秒前
无花果应助xiaoma采纳,获得10
9秒前
你在说神马完成签到 ,获得积分10
10秒前
abc完成签到,获得积分20
11秒前
江峰发布了新的文献求助10
11秒前
萌萌哒完成签到,获得积分10
12秒前
天天快乐应助刘四毛采纳,获得10
12秒前
搜集达人应助认真的画板采纳,获得10
12秒前
michael_xu完成签到,获得积分10
13秒前
疯狂的易梦完成签到 ,获得积分10
13秒前
00发布了新的文献求助30
14秒前
李爱国应助伶俐送终采纳,获得10
14秒前
飓风卡塔琳娜完成签到,获得积分10
15秒前
所所应助自信晟睿采纳,获得10
15秒前
18秒前
19秒前
sun完成签到,获得积分20
20秒前
酷波er应助江峰采纳,获得10
20秒前
21秒前
22秒前
22秒前
sun发布了新的文献求助10
23秒前
24秒前
老实的吐司完成签到 ,获得积分10
24秒前
26秒前
伶俐送终发布了新的文献求助10
27秒前
起名字好难呀关注了科研通微信公众号
28秒前
香蕉觅云应助lwq采纳,获得10
29秒前
高分求助中
Evolution 10000
Sustainability in Tides Chemistry 2800
юрские динозавры восточного забайкалья 800
Diagnostic immunohistochemistry : theranostic and genomic applications 6th Edition 500
Chen Hansheng: China’s Last Romantic Revolutionary 500
China's Relations With Japan 1945-83: The Role of Liao Chengzhi 400
Classics in Total Synthesis IV 400
热门求助领域 (近24小时)
化学 医学 生物 材料科学 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 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3150225
求助须知:如何正确求助?哪些是违规求助? 2801322
关于积分的说明 7844073
捐赠科研通 2458853
什么是DOI,文献DOI怎么找? 1308673
科研通“疑难数据库(出版商)”最低求助积分说明 628556
版权声明 601721