亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

AI-enhanced simultaneous multiparametric 18F-FDG PET/MRI for accurate breast cancer diagnosis

医学 无线电技术 乳腺癌 乳房磁振造影 放射科 乳腺摄影术 麦克内马尔试验 核医学 磁共振成像 多参数磁共振成像 癌症 前列腺癌 内科学 数学 统计
作者
Valeria Romeo,Paola Clauser,Sazan Rasul,Panagiotis Kapetas,Peter Gibbs,Pascal Baltzer,Marcus Hacker,Ramona Woitek,Thomas H. Helbich,Katja Pinker
出处
期刊:European Journal of Nuclear Medicine and Molecular Imaging [Springer Science+Business Media]
卷期号:49 (2): 596-608 被引量:45
标识
DOI:10.1007/s00259-021-05492-z
摘要

To assess whether a radiomics and machine learning (ML) model combining quantitative parameters and radiomics features extracted from simultaneous multiparametric 18F-FDG PET/MRI can discriminate between benign and malignant breast lesions.A population of 102 patients with 120 breast lesions (101 malignant and 19 benign) detected on ultrasound and/or mammography was prospectively enrolled. All patients underwent hybrid 18F-FDG PET/MRI for diagnostic purposes. Quantitative parameters were extracted from DCE (MTT, VD, PF), DW (mean ADC of breast lesions and contralateral breast parenchyma), PET (SUVmax, SUVmean, and SUVminimum of breast lesions, as well as SUVmean of the contralateral breast parenchyma), and T2-weighted images. Radiomics features were extracted from DCE, T2-weighted, ADC, and PET images. Different diagnostic models were developed using a fine Gaussian support vector machine algorithm which explored different combinations of quantitative parameters and radiomics features to obtain the highest accuracy in discriminating between benign and malignant breast lesions using fivefold cross-validation. The performance of the best radiomics and ML model was compared with that of expert reader review using McNemar's test.Eight radiomics models were developed. The integrated model combining MTT and ADC with radiomics features extracted from PET and ADC images obtained the highest accuracy for breast cancer diagnosis (AUC 0.983), although its accuracy was not significantly higher than that of expert reader review (AUC 0.868) (p = 0.508).A radiomics and ML model combining quantitative parameters and radiomics features extracted from simultaneous multiparametric 18F-FDG PET/MRI images can accurately discriminate between benign and malignant breast lesions.
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
yema完成签到 ,获得积分10
9秒前
sadascaqwqw完成签到 ,获得积分10
9秒前
害羞龙猫完成签到 ,获得积分10
14秒前
JamesPei应助科研通管家采纳,获得10
15秒前
18秒前
20秒前
鲜于之玉发布了新的文献求助10
24秒前
皆可发布了新的文献求助10
25秒前
25秒前
bkagyin应助踏实树叶采纳,获得10
32秒前
王健锟完成签到,获得积分10
39秒前
40秒前
43秒前
王健锟发布了新的文献求助10
46秒前
踏实树叶完成签到,获得积分10
48秒前
jerry发布了新的文献求助10
48秒前
52秒前
jerry完成签到,获得积分10
1分钟前
1分钟前
acarbose发布了新的文献求助10
1分钟前
acarbose完成签到,获得积分10
1分钟前
鉴定为学计算学的完成签到,获得积分10
1分钟前
chenlc971125完成签到 ,获得积分10
1分钟前
酷波er应助grace135采纳,获得10
1分钟前
充电宝应助小萌兽采纳,获得10
1分钟前
jiang应助kento采纳,获得100
1分钟前
Rayoo完成签到,获得积分10
1分钟前
Rayoo发布了新的文献求助20
1分钟前
1分钟前
传奇3应助MH采纳,获得10
1分钟前
1分钟前
时尚的归尘完成签到,获得积分10
2分钟前
赘婿应助科研通管家采纳,获得20
2分钟前
Hayat应助科研通管家采纳,获得10
2分钟前
2分钟前
绝世冰淇淋完成签到 ,获得积分10
2分钟前
东郭一斩完成签到,获得积分10
2分钟前
小萌兽发布了新的文献求助10
2分钟前
2分钟前
仲夏夜之梦完成签到,获得积分10
2分钟前
高分求助中
【请各位用户详细阅读此贴后再求助】科研通的精品贴汇总(请勿应助) 10000
求 5G-Advanced NTN空天地一体化技术 pdf版 500
International Code of Nomenclature for algae, fungi, and plants (Madrid Code) (Regnum Vegetabile) 500
Maritime Applications of Prolonged Casualty Care: Drowning and Hypothermia on an Amphibious Warship 500
Comparison analysis of Apple face ID in iPad Pro 13” with first use of metasurfaces for diffraction vs. iPhone 16 Pro 500
Towards a $2B optical metasurfaces opportunity by 2029: a cornerstone for augmented reality, an incremental innovation for imaging (YINTR24441) 500
Robot-supported joining of reinforcement textiles with one-sided sewing heads 490
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 4067195
求助须知:如何正确求助?哪些是违规求助? 3606218
关于积分的说明 11450803
捐赠科研通 3327641
什么是DOI,文献DOI怎么找? 1829475
邀请新用户注册赠送积分活动 899393
科研通“疑难数据库(出版商)”最低求助积分说明 819595