Differentiating Peripherally Located Pulmonary Noncalcified Hamartoma From Carcinoid Using CT Radiomics Approaches

医学 列线图 无线电技术 放射科 核医学 接收机工作特性 内科学
作者
Xiaohuang Yang,Congrui Li,Jing Hou,Zeng Xiong,Huashan Lin,Shihang Wu,Xiaoping Yu
出处
期刊:Journal of Computer Assisted Tomography [Lippincott Williams & Wilkins]
卷期号:47 (3): 402-411 被引量:1
标识
DOI:10.1097/rct.0000000000001414
摘要

This article aimed to differentiate noncalcified hamartoma from pulmonary carcinoid preoperatively using computed tomography (CT) radiomics approaches.The unenhanced CT (UECT) and contrast-enhanced CT (CECT) data of noncalcified hamartoma (n = 73) and pulmonary carcinoid (n = 54; typical/atypical carcinoid = 13/41) were retrospectively analyzed. The patients were randomly divided into the training and validation sets. A total of 396 radiomics features were extracted from UECT and CECT, respectively. The features were selected by using the minimum redundancy maximum relevance and the least absolute shrinkage and selection operator to construct a radiomics model. Clinical factors and radiomics features were integrated to build a nomogram model. The performance of clinical factors, radiomics, and nomogram models on the differential diagnosis between noncalcified hamartoma and carcinoid were investigated. Diagnostic performance of radiologists was also explored.In regard to distinguishing noncalcified hamartoma from carcinoid, the areas under the receiver operating characteristic curves of the clinical, radiomics, and nomogram models were 0.88, 0.94, and 0.96 in the training set UECT, and were 0.85, 0.92, and 0.96 in the training set CECT, respectively. The areas under the curve of the 3 models were 0.89, 0.96, and 0.96 in the validation set UECT, and were 0.79, 0.90, and 0.94 in the validation set CECT, respectively. The nomogram model exhibited good calibration and was clinically useful by decision curve analysis. Nomogram did not show significant improvement compared with radiomics, neither for UECT nor for CECT. Diagnostic performance of radiologists was lower than both radiomics and nomogram model.Radiomics approaches may be useful in distinguishing peripheral pulmonary noncalcified hamartoma from carcinoid. Radiomics features extracted from CECT provided no significant benefit when compared with UECT.

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
1秒前
轩辕之柔发布了新的文献求助20
1秒前
DGLD110818发布了新的文献求助10
1秒前
guo完成签到,获得积分10
1秒前
喜多米430完成签到,获得积分10
1秒前
CodeCraft应助12采纳,获得10
2秒前
sxy完成签到,获得积分10
2秒前
3秒前
JWW发布了新的文献求助10
5秒前
幽默火车发布了新的文献求助10
5秒前
wangmaosen完成签到,获得积分10
5秒前
5秒前
suzy完成签到,获得积分10
5秒前
6秒前
优秀不愁发布了新的文献求助10
6秒前
CipherSage应助wang采纳,获得10
7秒前
8秒前
8秒前
8秒前
Peipei完成签到,获得积分10
8秒前
lily完成签到,获得积分10
9秒前
9秒前
9秒前
9秒前
Anna完成签到,获得积分10
10秒前
10秒前
FashionBoy应助勤奋尔烟采纳,获得10
11秒前
伍寒烟发布了新的文献求助10
11秒前
lailight完成签到,获得积分10
12秒前
3475完成签到,获得积分10
12秒前
12秒前
笑开口发布了新的文献求助10
12秒前
yangzy发布了新的文献求助10
12秒前
12秒前
痴情的信封完成签到,获得积分10
13秒前
13秒前
科研通AI6.3应助hanguyu采纳,获得30
14秒前
yuliang完成签到,获得积分10
14秒前
15秒前
15秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Weaponeering: An Introduction Fourth Edition, Volume 1 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 7551041
求助须知:如何正确求助?哪些是违规求助? 9133947
关于积分的说明 19517576
捐赠科研通 7143023
什么是DOI,文献DOI怎么找? 3260140
关于科研通互助平台的介绍 2426926
邀请新用户注册赠送积分活动 2249169