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作 者:吕亚萍[1] 兰庆茂 马雪梅[1] 毛勤香[1] 孙嗣麒[1] 黄忠道[1]
机构地区:[1]广西柳州市柳铁中心医院放射科,柳州市545007
出 处:《广西医学》2012年第8期981-983,共3页Guangxi Medical Journal
基 金:广西医药卫生科研课题(桂卫Z2009322)
摘 要:目的探讨磁共振常规T1W、T2W平扫下病灶信号强度及相应的信噪比(SNR)、对信噪比(CNR),结合病灶动态增强时间-信号强度曲线在乳腺疾病定性与鉴别诊断中的价值。方法经病理检查确诊为乳腺癌患者40例,乳腺增生症61例,纤维瘤24例,囊肿33例。均进行常规T1W、T2W平扫和VIBE序列动态增强扫描,观察病灶在平扫T1W、T2W的信号强度及相应的SNR、CNR和动态增强时间-信号强度曲线模式。结果 158例(158个病灶)MRI平扫T1W呈低信号158个病灶(100%),T2W呈高信号120个病灶(75.9%),呈低信号38个(24.1%);乳腺癌组T1W及T2W的SNR、CNR值小于乳腺增生症、纤维瘤、囊肿组(P<0.05)。158个病灶动态增强时间-信号强度曲线模式呈流出型48个(30.4%),平台型31个(19.6%),波浪型41个(25.9%),流入型38个(24.0%)。乳腺癌组动态增强时间-信号强度曲线模式呈流出型34个(85.0%),平台型6个(15.0%);乳腺增生症组呈流入型30个,波浪型31个;乳腺纤维瘤组呈流入型5个,波浪型10个,流出型9个;乳腺囊肿组33个病灶均无强化。结论 MR信号强度的定性、定量结合动态增强时间-信号强度曲线有助于乳腺疾病的诊断和鉴别诊断。Objective To assess the value of signal intensity,signal-to-noise ratio(SNR) ,contrast-to-noise ratio (CNR), time-signal intensity curve (TIC) of dynamic contrast-enhanced MRI in the qualitative and differential diagnosis of breast disease. Methods One hundred and fifty-eight patients with breast disease confirmed by pathological examination were enrolled in the study,including 40 cases of breast cancer,61 cases of hyperplasia of mammary glands,24 cases of mammary fibroma and 33 cases of breast cyst. Conventional TIWI,T2WI and Gd-enhanced 3D--VIBE were performed to observe signal intensity of T1W,T2W plain scan and the corresponding SNR, CNR and TIC of dynamic contrast-enhanced MRI. Results There were hypointense in 158 (100%) lesions in TIW, hyperintense in 120(75.9% ) lesions and hypointense in 38(24.1% ) lesions in T2W in plain scan. SNR and CNR of breast cancer were the minimal in these 4 types of breast disease in TIW, T2W ( P 〈 0.05 ). The patterns of TIC of dynamic contrast-enhanced MRI in 158 patients included 48(30.4% ) cases of type outflow,31 ( 19.6% ) cases of type platform,41 (25.9%) cases of type wavy and 38(24.0% ) cases of type inflow;34(85.0% ) cases of type outflow and 6( 15.0% ) cases of type platform in breast cancer patients;30 cases of type inflow and 31 cases of type wavy in patients with hyperplasia of mammary glands;5 cases of type inflow,10 cases of type wavy and 9 cases of type outflow in mammary fibroma patients;No enhancement in 33 lesions in breast cyst patients. Conclusion Qualitative and quantitative evaluation of MR signal intensity combined with TIC pattern of dynamic contrast-enhanced MRI will be helpful to the qualitative and differential diagnosis of breast disease.
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