Deep learning radiomics based on contrast-enhanced ultrasound images for assisted diagnosis of pancreatic ductal adenocarcinoma and chronic pancreatitis

医学 胰腺导管腺癌 无线电技术 胰腺炎 放射科 队列 医学诊断 超声造影 活检 超声波 曲线下面积 回顾性队列研究 胰腺癌 内科学 癌症
作者
Tong Tong,Jionghui Gu,Dong Xu,Ling Song,Qiyu Zhao,Cheng Fang,Zhiqiang Yuan,Shuyuan Tian,Xin Yang,Jie Tian,Kun Wang,Tianan Jiang
出处
期刊:BMC Medicine [BioMed Central]
卷期号:20 (1) 被引量:40
标识
DOI:10.1186/s12916-022-02258-8
摘要

Accurate and non-invasive diagnosis of pancreatic ductal adenocarcinoma (PDAC) and chronic pancreatitis (CP) can avoid unnecessary puncture and surgery. This study aimed to develop a deep learning radiomics (DLR) model based on contrast-enhanced ultrasound (CEUS) images to assist radiologists in identifying PDAC and CP.Patients with PDAC or CP were retrospectively enrolled from three hospitals. Detailed clinicopathological data were collected for each patient. Diagnoses were confirmed pathologically using biopsy or surgery in all patients. We developed an end-to-end DLR model for diagnosing PDAC and CP using CEUS images. To verify the clinical application value of the DLR model, two rounds of reader studies were performed.A total of 558 patients with pancreatic lesions were enrolled and were split into the training cohort (n=351), internal validation cohort (n=109), and external validation cohorts 1 (n=50) and 2 (n=48). The DLR model achieved an area under curve (AUC) of 0.986 (95% CI 0.975-0.994), 0.978 (95% CI 0.950-0.996), 0.967 (95% CI 0.917-1.000), and 0.953 (95% CI 0.877-1.000) in the training, internal validation, and external validation cohorts 1 and 2, respectively. The sensitivity and specificity of the DLR model were higher than or comparable to the diagnoses of the five radiologists in the three validation cohorts. With the aid of the DLR model, the diagnostic sensitivity of all radiologists was further improved at the expense of a small or no decrease in specificity in the three validation cohorts.The findings of this study suggest that our DLR model can be used as an effective tool to assist radiologists in the diagnosis of PDAC and CP.
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
PDF的下载单位、IP信息已删除 (2025-6-4)

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
Ann完成签到,获得积分10
1秒前
小李发布了新的文献求助10
1秒前
灰灰发布了新的文献求助10
2秒前
2秒前
研友_nVqwxL完成签到,获得积分10
2秒前
3秒前
快乐的紫菜完成签到,获得积分10
3秒前
4秒前
Ycai发布了新的文献求助20
4秒前
5秒前
shan发布了新的文献求助10
6秒前
6秒前
星月完成签到 ,获得积分10
6秒前
CipherSage应助自由初夏采纳,获得10
7秒前
开放以南发布了新的文献求助10
7秒前
7秒前
XHH1994发布了新的文献求助10
7秒前
怡然凝云完成签到,获得积分10
7秒前
7秒前
芒果发布了新的文献求助20
8秒前
8秒前
8秒前
9秒前
爆米花应助慧慧34采纳,获得10
9秒前
9秒前
悲凉的大娘完成签到 ,获得积分10
9秒前
Hello应助大学生采纳,获得10
10秒前
777发布了新的文献求助10
10秒前
不安的依风完成签到,获得积分20
10秒前
量子星尘发布了新的文献求助10
10秒前
10秒前
完成签到,获得积分10
11秒前
11秒前
Andrew发布了新的文献求助10
11秒前
雨天完成签到,获得积分10
11秒前
丘比特应助rock采纳,获得10
11秒前
研友_57A445发布了新的文献求助10
12秒前
12秒前
12秒前
追寻的凡松完成签到,获得积分10
12秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Technical Brochure TB 814: LPIT applications in HV gas insulated switchgear 1000
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Picture Books with Same-sex Parented Families: Unintentional Censorship 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
A Preliminary Study on Correlation Between Independent Components of Facial Thermal Images and Subjective Assessment of Chronic Stress 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3970287
求助须知:如何正确求助?哪些是违规求助? 3515034
关于积分的说明 11176923
捐赠科研通 3250301
什么是DOI,文献DOI怎么找? 1795244
邀请新用户注册赠送积分活动 875732
科研通“疑难数据库(出版商)”最低求助积分说明 805039