期刊文献+

自动乳腺全容积扫描与磁共振成像诊断乳腺癌的临床研究 被引量:15

Clinical research of automated breast volume scanner and MRI in diagnosis of breast cancer
原文传递
导出
摘要 目的评价自动乳腺全容积扫描(automated breast volume scanner,ABVS)和动态增强磁共振(magnetic resonance imaging,MRI)检查及其联合应用对乳腺癌的诊断价值。方法选取经手术病理证实的37例乳腺疾病患者共50个病灶,术前均行乳腺ABVS和MRI动态增强检查并进行BLRADS分级,比较两种方法及其联合应用诊断乳腺癌的效能;同时分析ABVS和MRI图像特征对乳腺良恶性病灶的鉴别诊断价值。结果ABVs和MRI对乳腺癌诊断的敏感度、特异度、准确度、阳性预测值和阴性预测值分别为91.67%和95.83%、88.46%和80.77%、90.00%和88.00%、88.00%和82.14%、92.OO%和95.45%,差异无统计学意义(P〉0.05),两者联合应用诊断的敏感度和特异度为99.65%和97.78%;乳腺良恶性病灶的ABVS冠状面特征和MRI动态增强曲线类型差异均有统计学意义(P〈0.05)。结论ABVS与MRI对乳腺癌的诊断效能均较高,两者联合应用有助于提高诊断准确性。 Objective To evaluate the effectiveness of automated breast volume scanner(ABVS) and magnetic resonance imaging(MRI) in the detection and diagnosis of breast cancer and to assess the value of these modalities as well as the joint use of the two. Methods In this study, a total of 50 breast lesions in 37 patients proved by surgery and pathology were included. Before operation, all patients were underwent both ABVS and dynamic contrast-enhanced (DCE-MRI) examinations, and classified into groups according to BI- RADS classification. Then the effectiveness of the two examinations were contrasted, the image features on the two techniques were analyzed, and their differential diagnosis in benign and malignant breast lesions were compared. Results The sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value(NPV) of ABVS and MRI for the diagnosis of breast cancer were 91.67% and 95.83%, 88.46 % and 80.77 %, 90.00 % and 88.00 %, 88.00 % and 82.14 %, 92.00 % and 95.45 %, respectively, and there was no statistical difference between ABVS and MRI( P 〈0.05) ;The sensitivity and specificity of the combination of the two were 99.650% and 97.78%, respectively. The difference of the ABVS coronal features and MRI dynamic enhancement curve types between malignant breast lesions and the benign were statistically significant ( P 〈 0.05). Conclusions Both ABVS and MRI are effective to diagnose breast cancer well, while the combination of the two can improve the diagnosis more accurately.
出处 《中华超声影像学杂志》 CSCD 北大核心 2017年第8期687-692,共6页 Chinese Journal of Ultrasonography
基金 复旦大学附属中山医院住院医师专项基金-001
关键词 超声检查 乳腺肿瘤 自动乳腺全容积扫描 磁共振成像 三维 Ultrasonography Breast neoplasms Automated breast volume scanner Magnetic resonance imaging, three-dimensional
  • 相关文献

参考文献6

二级参考文献86

  • 1Michael.圆梦的孩子[J].网球大师,2013,0(8):40-43. 被引量:1
  • 2娄丽,李吉昌,马玉香,从新丽.超声对乳腺叶状囊肉瘤的诊断价值[J].中华超声影像学杂志,2005,14(11):871-872. 被引量:17
  • 3严松莉,唐旭平,曹亚丽.超声在乳腺叶状肿瘤和纤维腺瘤鉴别诊断中的价值[J].中华超声影像学杂志,2006,15(3):202-204. 被引量:37
  • 4顾继英,苏一巾,杜联芳.三维超声成像对乳腺肿块诊断价值的初步探讨[J].中国超声医学杂志,2007,23(1):67-69. 被引量:33
  • 5Sternberg,主编.回允中,主译.诊断外科病理学.北京:北京大学医学出版社,2003.366~367.
  • 6Mendelson EB, Baum JK, Berg WA, et al. BI RADS : Ultrasound. In:D'Orsi CJ, Mendelson EB, Ikeda DM, et al. Breast Imaging Reporting and Data System:ACR BI RADS-Breast Imaging Atlas. Reston, VA: American College of Radiology, 2003.
  • 7McCavert M, O' Donnell ME, Aroori S, et al. Ultrasound is a useful adjunct to mammography in the assessment of breast tumors in all patients. Int J Clin Pract,2009,63:1589-1594.
  • 8Chan SW,Cheung PS, Chan S, et al. Benefit of ultrasonography in the detection of clinically and mammographically occult breast cancer. World J Surg, 2008,32:2593-2598.
  • 9Wells PN,Evans KT. An immersion scanner for twodimensional ultrasonic examination of the human breast. Ultrasonics, 1968, 6 : 220-228.
  • 10Maturo VG, Zusmer NR, Gilson AJ, et al. Ultrasound of the whole breast utilizing a dedicated automated breast scanner. Radiology, 1980,137 : 457-463.

共引文献73

同被引文献118

引证文献15

二级引证文献74

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部