中国医学装备
中國醫學裝備
중국의학장비
CHINA MEDICAL EQUIPMENT
2014年
10期
86-88
,共3页
顾培华%蔡庆%沈玉英%雷海燕
顧培華%蔡慶%瀋玉英%雷海燕
고배화%채경%침옥영%뢰해연
乳腺癌%磁共振动态增强扫描%时间-信号曲线
乳腺癌%磁共振動態增彊掃描%時間-信號麯線
유선암%자공진동태증강소묘%시간-신호곡선
Breast cancer%Dynamic enhanced magnetic resonance imaging scanning%Time-signal intensity curve
目的:研究小乳腺癌在磁共振成像(MRI)动态增强扫描图像上的影像表现及其动态增强扫描时间—信号曲线的特征,评价MRI动态增强扫描技术在小乳腺癌诊断中的临床应用价值。方法:将39例钼靶不能明确诊断的女性患者纳入研究(病理证实病灶≤2 cm)并行双侧乳腺动态高分辨对比增强MRI。利用MRI工作站功能软件描绘时间—信号强度曲线(TIC)。结果:39例患者中19例为乳腺癌,20例为良性乳腺肿瘤。19例小乳腺癌SI-Time曲线中15例呈I型,3例呈II型,1例呈III型,早期增强率11例≥60%。20例良性肿瘤TIC曲线中2例呈I型,2例呈II型,16例呈III型,早期增强率5例≥60%。将恶性病变形态特征、早期增强率≥60%、I型TIC曲线作为联合诊断标准,其中符合两项为确诊,诊断灵敏度为92%、特异度为90%、准确率为95%。结论:乳腺肿块的MRI形态学特征结合TIC曲线及早期强化率联合诊断提高了乳腺小肿块的定性诊断特异性及敏感性,可为小乳腺癌的诊断和鉴别提供重要的信息。
目的:研究小乳腺癌在磁共振成像(MRI)動態增彊掃描圖像上的影像錶現及其動態增彊掃描時間—信號麯線的特徵,評價MRI動態增彊掃描技術在小乳腺癌診斷中的臨床應用價值。方法:將39例鉬靶不能明確診斷的女性患者納入研究(病理證實病竈≤2 cm)併行雙側乳腺動態高分辨對比增彊MRI。利用MRI工作站功能軟件描繪時間—信號彊度麯線(TIC)。結果:39例患者中19例為乳腺癌,20例為良性乳腺腫瘤。19例小乳腺癌SI-Time麯線中15例呈I型,3例呈II型,1例呈III型,早期增彊率11例≥60%。20例良性腫瘤TIC麯線中2例呈I型,2例呈II型,16例呈III型,早期增彊率5例≥60%。將噁性病變形態特徵、早期增彊率≥60%、I型TIC麯線作為聯閤診斷標準,其中符閤兩項為確診,診斷靈敏度為92%、特異度為90%、準確率為95%。結論:乳腺腫塊的MRI形態學特徵結閤TIC麯線及早期彊化率聯閤診斷提高瞭乳腺小腫塊的定性診斷特異性及敏感性,可為小乳腺癌的診斷和鑒彆提供重要的信息。
목적:연구소유선암재자공진성상(MRI)동태증강소묘도상상적영상표현급기동태증강소묘시간—신호곡선적특정,평개MRI동태증강소묘기술재소유선암진단중적림상응용개치。방법:장39례목파불능명학진단적녀성환자납입연구(병리증실병조≤2 cm)병행쌍측유선동태고분변대비증강MRI。이용MRI공작참공능연건묘회시간—신호강도곡선(TIC)。결과:39례환자중19례위유선암,20례위량성유선종류。19례소유선암SI-Time곡선중15례정I형,3례정II형,1례정III형,조기증강솔11례≥60%。20례량성종류TIC곡선중2례정I형,2례정II형,16례정III형,조기증강솔5례≥60%。장악성병변형태특정、조기증강솔≥60%、I형TIC곡선작위연합진단표준,기중부합량항위학진,진단령민도위92%、특이도위90%、준학솔위95%。결론:유선종괴적MRI형태학특정결합TIC곡선급조기강화솔연합진단제고료유선소종괴적정성진단특이성급민감성,가위소유선암적진단화감별제공중요적신식。
Objective: To study the imaging features and time- signal intensity curve of small breast lesions, and to evaluate the value of clinical application of dynamic contrast-enhanced MRI scan technique in diagnosis of small breast cancers. Methods: Thirty nine female patients pathologically confirmed small breast lesions(≤2 cm)underwent bilateral breast dynamic contrast enhanced MRI. Use MRI workstation function software to describe the time- signal intensity curve(TIC). Results: 19 cases were pathologically confirmed as small breast cancer, 20 cases were benign breast tumor. 15 cases of small breast cancer showed TIC typeI, 3 cases showed type II, 1 cases showed type III.Eleven among 19 cases of early enhancement rate ≥60%. Two among 20 cases of benign tumor TIC curve showed type I, 2 cases showed type II , 16 cases showedtype III, 5 cases of benign tumor early enhancement rate≥60%. The morphological characteristics, early enhanced rate≥60%, TIC type I as the diagnostic criteria.The combination of two types of information in the presented diagnostic algorithm achieved an optimized sensitivity of 92%, specificity of 90%, accuracy of 95%. Conclusion:MRI features of breast lesions in combination with the TIC and the early phase enhancement rate improves breast small tumor diagnosis sensitivity and specificity, which can provide valuable information in diagnosis of small breast cancer.