CT radiomics nomogram for prediction of the Ki-67 index in head and neck squamous cell carcinoma

列线图 医学 无线电技术 神经组阅片室 头颈部鳞状细胞癌 放射科 Ki-67 头颈部癌 内科学 肿瘤科 核医学 放射治疗 免疫组织化学 神经学 精神科
作者
Ying-Mei Zheng,Jing Chen,Min Zhang,Zhen Wu,Guozhang Tang,Yue Zhang,Cheng Dong
出处
期刊:European Radiology [Springer Nature]
卷期号:33 (3): 2160-2170 被引量:8
标识
DOI:10.1007/s00330-022-09168-6
摘要

ObjectivesTo construct and validate a contrast-enhanced computed tomography (CECT)–based radiomics nomogram to predict Ki-67 expression level in head and neck squamous cell carcinoma (HNSCC).MethodsA total of 217 patients with HNSCC who underwent CECT scans and immunohistochemical examination of their Ki-67 index were enrolled in this study. The patients were divided into a training set (n = 140; Ki-67: ≥ 50% [n = 72] and < 50% [n = 68]) and an external test set (n = 77; Ki-67: ≥ 50% [n = 38] and < 50% [n = 39]). The least absolute shrinkage and selection operator method was used to select key features for a CECT-image-based radiomics signature and a radiomics score (Rad-score) was calculated. A clinical model was established using clinical data and CT findings. The independent clinical factors and Rad-score were then combined to construct a radiomics nomogram. The performance characteristics of the Rad-score, clinical model, and nomogram were assessed using ROCs and decision curve analysis.ResultsTwenty features were finally selected to construct the Rad-score. The radiomics nomogram incorporating the Rad-score, low histological grade, and lymphatic spread showed higher predictive value for the Ki-67 index (≥ 50% vs. < 50%) than the clinical model on both the training (AUC, 0.919 vs. 0.648, p < 0.001) and test (AUC, 0.832 vs. 0.685, p = 0.030) sets. Decision curve analysis demonstrated that the radiomics nomogram was more clinically useful than the clinical model.ConclusionsA CECT-based radiomics nomogram was constructed to predict the expression of Ki-67 in HNSCC. This model showed favorable predictive efficacy and might be useful for prognostic evaluation and clinical decision-making in patients with HNSCC.Key Points • Accurate pre-treatment prediction of Ki-67 index in HNSCC is crucial. • A CECT-based radiomics nomogram showed favorable predictive efficacy in estimation of Ki-67 expression status in HNSCC patients.
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
pluto应助小离采纳,获得10
1秒前
阿大呆呆应助zcx采纳,获得50
1秒前
杨yoyo完成签到,获得积分10
2秒前
王讯完成签到,获得积分10
2秒前
ycc完成签到,获得积分10
2秒前
windli发布了新的文献求助10
3秒前
充电宝应助昏睡的铃铛采纳,获得10
4秒前
曾嘉欣完成签到,获得积分10
4秒前
z_8023完成签到,获得积分10
4秒前
EvY发布了新的文献求助10
5秒前
雪莉酒完成签到,获得积分10
5秒前
有趣的灵魂完成签到,获得积分10
6秒前
Gitope发布了新的文献求助10
6秒前
十二完成签到,获得积分10
7秒前
8秒前
所所应助柠A采纳,获得10
9秒前
传统的凝天完成签到 ,获得积分10
9秒前
楠木完成签到 ,获得积分10
9秒前
酷波er应助linxue采纳,获得10
9秒前
LLL完成签到,获得积分10
9秒前
懦弱的乐蕊完成签到 ,获得积分10
9秒前
9秒前
英俊的铭应助倪妮采纳,获得10
9秒前
Mike001发布了新的文献求助10
10秒前
派大珊发布了新的文献求助10
11秒前
SQL完成签到 ,获得积分10
12秒前
66完成签到 ,获得积分10
12秒前
Mike001发布了新的文献求助10
12秒前
自觉的白易完成签到 ,获得积分20
13秒前
研友_5Z4ZA5完成签到,获得积分10
13秒前
13秒前
tcklikai完成签到,获得积分10
13秒前
顾矜应助STAN采纳,获得10
13秒前
Mike001发布了新的文献求助10
13秒前
ziyi完成签到,获得积分20
15秒前
15秒前
Mike001发布了新的文献求助10
15秒前
崇林同学完成签到 ,获得积分10
15秒前
15秒前
mervin完成签到,获得积分10
15秒前
高分求助中
The three stars each : the Astrolabes and related texts 1070
Manual of Clinical Microbiology, 4 Volume Set (ASM Books) 13th Edition 1000
Boris Pesce - Gli impiegati della Fiat dal 1955 al 1999 un percorso nella memoria 500
[Lambert-Eaton syndrome without calcium channel autoantibodies] 500
少脉山油柑叶的化学成分研究 500
Recherches Ethnographiques sue les Yao dans la Chine du Sud 500
Aspect and Predication: The Semantics of Argument Structure 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 有机化学 工程类 生物化学 纳米技术 物理 内科学 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 电极 光电子学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 2401842
求助须知:如何正确求助?哪些是违规求助? 2101283
关于积分的说明 5298710
捐赠科研通 1828869
什么是DOI,文献DOI怎么找? 911607
版权声明 560339
科研通“疑难数据库(出版商)”最低求助积分说明 487302