期刊文献+

ABVS和HHUS鉴别诊断良恶性乳腺肿瘤的meta分析 被引量:6

Diagnostic accuracy of ABVS versus HHUS for benign and malignant lesions in breasts :a meta-analysis
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摘要 目的:运用Meta分析评价自动乳腺全容积成像系统(automated breast volume scanning,ABVS)与手持探头超声(hand-held ultrasound,HHUS)对乳腺良、恶性肿瘤的诊断价值。方法 :采用计算机自动配合手工检索COCHRANE、WEB OF SCIENCE、PUBMED、EMBASE、中文科技期刊全文数据库、中国生物医学文献数据库、中国知网(CNKI)、万方数字化期刊全文数据库(检索时间:建库至2015年3月7日),搜集并筛选出HHUS与ABVS鉴别诊断女性良恶性乳腺肿瘤的文献,应用STATA12.0软件对入选文献的试验数据进行分析。结果 :17篇文献符合纳入标准。ABVS和HHUS合并诊断比值比分别为95.21(53.85-168.36)、28.88(16.15-51.66),合并特异度分别为0.90(0.86-0.93)、0.84(0.78-0.89),合并敏感度分别为0.91(0.88-0.93)、0.84(0.79-0.88)。结论 :ABVS在乳腺良、恶性肿瘤鉴别诊断方面较HHUS具有更高的临床价值。 Objective:To assess the diagnostic value of automated breast volume scanning(ABVS) versus hand-held ultrasound(HHUS) in benign and malignant breast tumor by meta-analysis. Methods: The Cochrane Library,Web of Science,the Pub Med,EMBASE,VIP,CBM,CNKI and Wanfang databases(From date of creating database to 2015 / 03 / 07) were searched for studies on the diagnosis of breast cancer with ABVS and HHUS according to inclusion criteria,and then STATA12.0 software was performed to analyze the selected documents. Results: A total of 17 studies were included after screening. The pooled diagnostic odds ratio,specificity and sensitivity of ABVS and HHUS were 95.21(53.85-168.36)and 28.88(16.15-51.66), 0.90(0.86-0.93) and 0.84(0.78-0.89), 0.91(0.88-0.93)and 0.84(0.79-0.88), respectively. Conclusion:The results of meta-analysis suggest that ABVS has higher value than HHUS in the diagnosis of benign and malignant breast tumor.
出处 《南京医科大学学报(自然科学版)》 CAS CSCD 北大核心 2015年第11期1637-1642,共6页 Journal of Nanjing Medical University(Natural Sciences)
基金 江苏省卫生计生委项目(H201534)
关键词 乳腺肿瘤 超声 自动乳腺全容积成像系统 META分析 breast neoplasm ultrasound automated breast volume scanning meta-analysis
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  • 1Siegel RL,Miller KD,Jemal A. Cancer statistics,2015 [J]. CA : Cancer J Clin, 2015,65 (1) : 5-29. 被引量:1
  • 2陈万青,郑荣寿,曾红梅,邹小农,张思维,赫捷.2011年中国恶性肿瘤发病和死亡分析[J].中国肿瘤,2015,24(1):1-10. 被引量:865
  • 3Agrawal AK,Jelen M,Rudnicki J,et al. The importance of preoperative elevated serum levels of CEA and CA15-3 in patients with breast cancer in predicting its histological type [ J ]. Folia histocbem, 2010,48 ( 1 ) : 26-29. 被引量:1
  • 4Wild JJ, Reid JM. Application of echo-ranging techniques to the determination of structure of biological tissues[J]. Science, 1952,115 (2983) : 226-230. 被引量:1
  • 5李娜..乳腺自动全容积成像技术对乳腺癌诊断价值研究[D].北京协和医学院,2014:
  • 6程淑珍,朱剑芳,王广珊.自动乳腺全容积扫查与手持超声诊断乳腺病灶价值的对比研究[J].实用临床医学(江西),2014,15(8):78-81. 被引量:7
  • 7P'aulinelli RR,Freitas-Junior R,Moreira MA,et al. Risk of malignancy in solid breast nodules according to their sonographie features [J]. J Ultrasound Med, 2005,24 (5) : 635-641. 被引量:1
  • 8Alvarez S, Anorbe E, Alcorta P, et al. Role of sonography in the diagnosis of axillary lymph node metastases in breast cancer:a systematic review[J]. AJR ,2006,186(5) : 1342-1348. 被引量:1
  • 9Watermann DO,Foldi M,Hanjalic-Beck A,et al. Three- dimensional ultrasound for the assessment of breast le- sions[Jl. Ultras Obstetri Gynecol,2005,25 (6) : 592-598. 被引量:1
  • 10陈林,陈悦,庞芸,裘之瑛,柴启亮,朱隽,詹嘉,王海尔.超声自动乳腺全容积扫描在乳腺占位性病变中的初步应用[J].中国医学影像技术,2011,27(7):1378-1382. 被引量:63

二级参考文献115

  • 1郑丽,黄国倩,王成.实时三维超声定量评价急性心肌梗死左室重构及功能[J].上海交通大学学报(医学版),2011,31(2):194-197. 被引量:11
  • 2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
  • 3Weinstein SP, Localio AR, Conant EF, el al. Multimodality screening of high-risk women: a prospective cohort study. J Clin Oncol, 2009, 27(36) :6124-6128. 被引量:1
  • 4Kotsitanos-Hermle D, Hiltawsky KM, Wirth S, et al. Analysis of 107 breast lesions with automated 3D ultrasound and comparison with mammography and manual ultrasound. Eur J Radiol, 2009, 71(1) :109-115. 被引量:1
  • 5Boyd NF, Guo H, Martin LJ, et al. Mammographic density and the risk and detection of breast cancer. N Engl J Med, 2007,356 (3) :227-236. 被引量:1
  • 6Tozaki M, Isobe S, Yamaguchi M, et al. Optimal scanning technique to cover the whole breast using an automated breast volume scanner. Jpn J Radiol, 2010,28(4) :325-328. 被引量:1
  • 7Kelly KM, Dean J, Comulada WS, et al. Breast cancer detection using automated whole breast ultrasound and mammography in radiographically dense breasts. Eur Radiol, 2010, 20 (3) : 734-742. 被引量:1
  • 8Wenkel E, Heckmann M, Heinrich M, et al. Automated breast ultrasound: lesion detection and BI-RADS classilication--a pilot study. Rofo, 2008, 180(9) :804-808. 被引量:1
  • 9Chang RF, Chang-Chien KC, Takada E, et al. Breast density a- nalysis in 3-D whole breast ultrasound images. Conf Proc IEEE Eng Med Biol Soe, 2006, 1:2795-2798. 被引量:1
  • 10Narayanasamy G, LeCarpentier GL, Zabuawala S, et al. Non rigid registration of three-dimensional (3D) grayscale and Doppler ultrasound breast images. Coal Proc IEEE Eng Med Biol Soc, 2007,2007 : 91-94. 被引量:1

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