摘要
目的:探讨计算机辅助检测(CAD)在乳腺纤维腺瘤钼靶X线诊断中的应用价值。方法:收集本院109例乳腺纤维腺瘤患者的钼靶图像,使用CAD系统标识感兴趣区域(ROIs)并观察系统勾画的病灶位置及形状,探讨CAD在乳腺纤维腺瘤诊断中的应用价值。结果:在109例乳腺纤维腺瘤患者钼靶图像中,CAD系统对脂肪型乳腺的识别率最高,达到100%,对致密型、多量腺体型和少量腺体型乳腺的识别率分别为5.88%、5.41%和4.55%。结论:CAD能够识别高于其周围腺体组织密度的乳腺纤维腺瘤,本结论对于数字图像处理的优化研究有一定参考价值。
Objective:To investigate the value of computer-aided detection(CAD)in the diagnosis of mammography for breast fibroadenoma.Methods:We collected 109 breast fibroadenoma patients’mammogram images,identifiedthe regions of interest(ROIs)by using CAD software,and observed the breast lumps’location and shape.Results:Among the mammograms of 109 breast fibroadenoma patients,the CAD software has the 100%recognition rate for fatty breasts,and 5.88%,5.41%and 4.55%for dense breasts,multiple glandular breastsand small amounts of glandular breasts,respectively.Conclusions:CAD could identify breast fibroadenoma with higher density than its surrounding glandular tissue,and the conclusion providescertain reference values for the optimization of image processing software.
作者
林盼盼
黄恺
吴仁华
LIN Pan-pan;HUANG Kai;WU Ren-hua(School of Clinical Medicine,Quanzhou Medical College,Fujian 362000,China;Department of Imaging,People’s Hospital of Quanzhou Medical College,Fujian 362000,China;Department of Radiology,Second Affiliated Hospital,Shantou University School of Medicine,Guangdong 515041,China)
出处
《影像技术》
CAS
2021年第5期17-21,共5页
Image Technology
基金
国际(地区)合作与交流项目(82020108016)
国家自然科学基金项目(31870981)
广东省高水平大学建设计划临床医学重点建设学科专项资金项目(002-18120302)
福建省中青年教师教育科研项目(JAT191468)。
关键词
乳腺纤维腺瘤
钼靶
计算机辅助检测
breast fibroadenoma
mammography
computer-aided detection