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Prevalence and Degree of Breast Arterial Calcifications on Mammography: A Cross-sectional Analysis.乳腺钼靶摄影中乳腺动脉钙化的患病率及程度:一项横断面分析。
J Clin Imaging Sci. 2013 Sep 27;3:36. doi: 10.4103/2156-7514.119013. eCollection 2013.
2
Clinical features and pattern of presentation of breast diseases in surgical outpatient clinic of a suburban tertiary hospital in South-west Nigeria.尼日利亚西南部一家郊区三级医院外科门诊中乳腺疾病的临床特征及表现模式
Niger J Surg. 2012 Jan;18(1):13-6. doi: 10.4103/1117-6806.95476.
3
Mammographic breast pattern in Nigerian women in Ibadan, Nigeria.尼日利亚伊巴丹市尼日利亚女性的乳腺钼靶影像模式。
Breast Dis. 2011;33(1):9-15. doi: 10.3233/BD-2010-0313.
4
Breast tissue composition and susceptibility to breast cancer.乳房组织成分与乳腺癌易感性。
J Natl Cancer Inst. 2010 Aug 18;102(16):1224-37. doi: 10.1093/jnci/djq239. Epub 2010 Jul 8.
5
Pattern of breast masses in Lagos: a private health facility review of 189 consecutive patients.拉各斯乳腺肿块的模式:一家私立医疗机构对189例连续患者的回顾。
Nig Q J Hosp Med. 2010 Jan-Mar;20(1):38-41. doi: 10.4314/nqjhm.v20i1.58015.
6
Medical audit of diagnostic mammographic examination at the lagos university teaching hospital (luth), Nigeria.尼日利亚拉各斯大学教学医院(LUTH)诊断性乳房X光检查的医学审计。
Niger Postgrad Med J. 2009 Mar;16(1):25-30.
7
Sonomammography for evaluation of solid breast masses in young patients.超声乳腺造影用于评估年轻患者的乳腺实性肿块。
J Ayub Med Coll Abbottabad. 2006 Apr-Jun;18(2):34-7.
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Classification of breast masses in mammograms using genetic programming and feature selection.利用遗传编程和特征选择对乳腺钼靶片中的乳腺肿块进行分类。
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Breast density and parenchymal patterns as markers of breast cancer risk: a meta-analysis.乳腺密度和实质模式作为乳腺癌风险标志物的荟萃分析。
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Use of border information in the classification of mammographic masses.乳腺钼靶肿块分类中边界信息的应用。
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尼日利亚中北部一家三级医院的五年乳腺钼靶检查审计

A five year audit of mammography in a tertiary hospital, North Central Nigeria.

作者信息

Akande Halimat Jumai, Olafimihan Bola Bamidele, Oyinloye Olalekan Ibikun

机构信息

Department of Radiology, College of Health Sciences, Faculty of Clinical Science, University of Ilorin/Teaching Hospital, Ilorin, Kwara, Nigeria.

出版信息

Niger Med J. 2015 May-Jun;56(3):213-7. doi: 10.4103/0300-1652.160401.

DOI:10.4103/0300-1652.160401
PMID:26229232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4518340/
Abstract

BACKGROUND

Breast imaging plays a vital role in the multidisciplinary approach to management of breast disease. A baseline data is apt and necessary for collaborative studies.

MATERIALS AND METHODS

This is a prospective descriptive study carried out between January 2009 and December 2013 at our institution. Patients who had breast imaging were recruited into the study. Film-screen mammograms were acquired with a General Electric (GE) Senographe DMR machine. Breast ultrasound done using an Aloka Prosound SSD-350+ ultrasound machine equipped with linear and curvilinear 7.5-10 MHz transducer. Findings were categorized using the ACR-BIRADS (American college of Radiologists-Breast imaging reporting and data system). Data was collated and analysed using social statistical package (SPSS) version 17.

RESULT

The mammograms of 824 patients were evaluated during this study period. Their age ranged from 40-85 years with a mean age of 50.9 ± 8.1 years. Eight hundred and sixteen (99%) were females and eight (1%) were males. The commonest clinical indication was breast lump (23.9%). The commonest density pattern was BIRADS 2-scattered fibroglandular pattern (43.9%). Mammograms were normal in 266 (32.3%) and positive in 558 (67.7%). The final BIRADS assessment showed BIRADS 0, 1, 2, 3, 4, 5 and 6 constituted 6.6%, 30.1%, 29.7%, 22.2%, 5.9%, 5.0% and 0.5% respectively.

CONCLUSION

The level of awareness of breast cancer is quite high with the positive mammographic yield emphasizing the value of a multidisciplinary approach in the management of breast diseases.

摘要

背景

乳腺成像在乳腺疾病多学科管理方法中起着至关重要的作用。基线数据对于合作研究而言恰当且必要。

材料与方法

这是一项于2009年1月至2013年12月在我们机构开展的前瞻性描述性研究。招募进行了乳腺成像的患者入组研究。使用通用电气(GE)Senographe DMR机器获取乳腺钼靶片。乳腺超声检查采用配备7.5 - 10 MHz线性和曲线探头的阿洛卡Prosound SSD - 350 +超声机器进行。使用美国放射学会乳腺影像报告和数据系统(ACR - BIRADS)对检查结果进行分类。使用社会统计软件包(SPSS)17版整理和分析数据。

结果

在本研究期间评估了824例患者的乳腺钼靶片。他们的年龄在40 - 85岁之间,平均年龄为50.9±8.1岁。816例(99%)为女性,8例(1%)为男性。最常见的临床指征是乳腺肿块(23.9%)。最常见的密度模式是BIRADS 2级——散在纤维腺体型(43.9%)。266例(32.3%)乳腺钼靶片正常,558例(67.7%)呈阳性。最终的BIRADS评估显示,BIRADS 0、1、2、3、4、5和6级分别占6.6%、30.1%、29.7%、22.2%、5.9%、5.0%和0.5%。

结论

乳腺癌的知晓水平相当高,乳腺钼靶片的阳性率凸显了多学科方法在乳腺疾病管理中的价值。