摘要
目的分析MRI、CT与乳腺X线摄影在诊断乳腺疾病中的应用价值。方法选取本院2015年3月至2018年6月收治的103例乳腺疾病患者,术前全部患者均行MRI、CT与乳腺X线摄影检查,以病理学检查结果为金标准将其分为乳腺癌患者(n=41)和良性乳腺疾病患者(n=62),比较不同检查方法和病理检查检出病灶直径的大小,分析上述3种方法诊断乳腺疾病的结果。结果病理检出的病灶直径明显小于CT和乳腺X线(P<0.05),与MRI相比较无明显差异(P>0.05);MRI诊断乳腺癌的敏感性(95.12%)、特异性(91.94%)、准确性(93.20%)明显高于CT的(80.49%、74.19%、76.70%)和乳腺X线的(73.17%、64.52%、67.96%)(P<0.05);MRI诊断CA的漏诊率(4.88%)和误诊率(8.06%)明显低于CT的(19.51%、25.81%)和乳腺X线的(26.83%、35.48%)(P<0.05)。结论与乳腺X线摄影和CT检查方式相比较,MRI检查可有效鉴别乳腺疾病患者病变性质,提高乳腺癌临床诊断的准确性。
Objective To analyze the application value of MRI,CT and mammography in the diagnosis of breast diseases.Methods A total of 103 patients with breast disease admitted to our hospital from March 2015 to June 2018 were enrolled.All patients underwent MRI,CT and mammography before surgery.The pathological examination results were used as the gold standard.Breast cancer patients(n=41)and benign breast disease patients(n=62)were compared with different examination methods and pathological examinations to fi nd out the size of the lesions.The results of the above three methods for diagnosing breast diseases were analyzed.Results The pathologically detected lesions were signifi cantly smaller than CT and mammography(P<0.05),and there was no signifi cant difference compared with MRI(P>0.05).MRI was used to diagnose breast cancer sensitivity(95.12%)and specifi city(91.94%),accuracy(93.20%)was signifi cantly higher than CT(80.49%,74.19%,76.70%)and mammography(73.17%,64.52%,67.96%)(P<0.05);MRI diagnosis of CA missed diagnosis The rate(4.88%)and misdiagnosis rate(8.06%)were signifi cantly lower than those of CT(19.51%,25.81%)and mammography(26.83%,35.48%)(P<0.05).Conclusion Compared with mammography and CT examination,MRI can effectively identify the pathological nature of breast disease patients and improve the accuracy of clinical diagnosis of breast cancer.
作者
李尊强
梁硕
LI Zun-qiang;LIANG Shuo(Panjin Liaoyou Baoshihua Hospital,Panjin 124010,China;Department of Ultrasound,No.24 Hospital,Shenyang 110034,China)
出处
《中国医药指南》
2020年第11期50-51,共2页
Guide of China Medicine