Mammographic breast density classification among Ghanaian population

IF 2.5 Q2 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
E. Dzidzornu , S.K. Angmorterh , N.A. Angaag , E.K. Ofori , K. Dzefi-Tettey , S. Aboagye
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引用次数: 0

Abstract

Introduction

Breast density is an established risk factor for breast cancer. However, there is limited literature on breast density evaluation among the African population. This study aimed to evaluate the breast density classification of patients presenting for mammography examination in a selected hospital in Ghana to inform national policy guidelines on breast cancer screening.

Methods

The study analyzed retrospective data of 960 digital screening and diagnostic mammograms of 245 patients from January to December 2020. Two consultant radiologists with over 10 years of clinical experience evaluated mammogram breast density using the fifth edition of the Breast Imaging-Reporting and Data System (BI-RADS) descriptors. Cohen kappa was used in calculating inter and intraobserver reliability for the breast density. Parameters including compressed breast thickness, and age were also recorded.

Results

The majority (62.0 % by Radiologist 1 and 63.3 % by Radiologist 2) of the patients were classified as having ‘almost entirely fatty’ breasts while a few (3.7 % by Radiologist 1 and 4.5 % by Radiologist 2) had ‘extremely dense’ breasts. Most of the patients aged 50–59 years were found to have ‘almost entirely fatty’ breasts. In general, the interobserver and intraobserver reliability showed an almost perfect agreement for the breast density (κ = 0.844, κ = 0.892). However, the interobserver reliability agreement varied from substantial to almost perfect score, with significant p-values, within each BI-RADS category.

Conclusion

The radiologists demonstrated consistency in both interobserver and intraobserver reliability with an almost perfect agreement for the breast density categories.

Implications for practice

The consistency observed in the BI-RADS assessment will guide future practice to develop models for breast cancer risk stratification and decision making for asymptomatic patients.
加纳人口乳房x线摄影乳腺密度分类
乳腺密度是乳腺癌的一个确定的危险因素。然而,关于非洲人口乳腺密度评估的文献有限。本研究旨在评估在加纳选定的一家医院进行乳房x光检查的患者的乳腺密度分类,为乳腺癌筛查的国家政策指南提供信息。方法回顾性分析2020年1 - 12月245例患者960张数字化筛查和诊断性乳房x线照片的资料。两位具有超过10年临床经验的顾问放射科医生使用第五版乳腺成像报告和数据系统(BI-RADS)描述符评估乳房x光片乳腺密度。Cohen kappa用于计算乳腺密度的观察者间和观察者内信度。还记录了压缩乳房厚度和年龄等参数。结果大多数患者(放射科医生1为62.0%,放射科医生2为63.3%)被归类为“几乎完全脂肪”乳房,而少数患者(放射科医生1为3.7%,放射科医生2为4.5%)被归类为“极度致密”乳房。大多数年龄在50-59岁之间的患者被发现乳房“几乎全是脂肪”。总的来说,观察者之间和观察者内部的信度对乳腺密度几乎完全一致(κ = 0.844, κ = 0.892)。然而,在每个BI-RADS类别中,观察者之间的信度一致性从相当到几乎完美的分数不等,具有显著的p值。结论放射科医师在观察者之间和观察者内部的可靠性方面表现出一致性,对乳腺密度分类几乎完全一致。在BI-RADS评估中观察到的一致性将指导未来的实践,以建立乳腺癌风险分层模型和无症状患者的决策。
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来源期刊
Radiography
Radiography RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING-
CiteScore
4.70
自引率
34.60%
发文量
169
审稿时长
63 days
期刊介绍: Radiography is an International, English language, peer-reviewed journal of diagnostic imaging and radiation therapy. Radiography is the official professional journal of the College of Radiographers and is published quarterly. Radiography aims to publish the highest quality material, both clinical and scientific, on all aspects of diagnostic imaging and radiation therapy and oncology.
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