{"title":"Glandular density distribution in digital mammography","authors":"A. Jha, Ritu Panta, S. Shrestha","doi":"10.3126/gmj.v2i1.45080","DOIUrl":null,"url":null,"abstract":"Objectives \nThe aim of this study was to evaluate the breast density distribution in digital mammography of patients. \nMaterials and Methods \nThis prospective study was performed in the Department of Radiology and Imaging of Tribhuvan University Teaching Hospital (TUTH). Data was collected over a period of 4 months from July to October 2019 and included one hundred and seventy patients who came for diagnostic or screening mammography, which was recorded as indication for the test. Appropriate statistical methods were used for analysis. \nResults \nThe mean age of women included in this study was 48.09 ± 9.13 years. Nearly 43% of the patients had dense breasts. According to Breast Imaging, Reporting and Data System (BIRADS) classification of lesions, maximum mammograms i.e.,77.7% were normal or benign while 4.7% were BIRADS category 0 and 17.7% were of BIRADS category 3, 4 or 5. A negative correlation was observed between age and breast density category. The relationship between breast density and BIRADS category or indication for the test was insignificant while a weak correlation was observed between it and mammographic findings. \nConclusion \nOur study showed an inverse linear relationship between age and mammographic density which is consistent with the fact that mammography has higher sensitivity in older age group usually with lesser density. No or weak correlation was present between breast density and BIRADS category, indication or findings on mammography. All patients in BIRADS 0 category had dense breasts.","PeriodicalId":314361,"journal":{"name":"Grande Medical Journal","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Grande Medical Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3126/gmj.v2i1.45080","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objectives
The aim of this study was to evaluate the breast density distribution in digital mammography of patients.
Materials and Methods
This prospective study was performed in the Department of Radiology and Imaging of Tribhuvan University Teaching Hospital (TUTH). Data was collected over a period of 4 months from July to October 2019 and included one hundred and seventy patients who came for diagnostic or screening mammography, which was recorded as indication for the test. Appropriate statistical methods were used for analysis.
Results
The mean age of women included in this study was 48.09 ± 9.13 years. Nearly 43% of the patients had dense breasts. According to Breast Imaging, Reporting and Data System (BIRADS) classification of lesions, maximum mammograms i.e.,77.7% were normal or benign while 4.7% were BIRADS category 0 and 17.7% were of BIRADS category 3, 4 or 5. A negative correlation was observed between age and breast density category. The relationship between breast density and BIRADS category or indication for the test was insignificant while a weak correlation was observed between it and mammographic findings.
Conclusion
Our study showed an inverse linear relationship between age and mammographic density which is consistent with the fact that mammography has higher sensitivity in older age group usually with lesser density. No or weak correlation was present between breast density and BIRADS category, indication or findings on mammography. All patients in BIRADS 0 category had dense breasts.
目的探讨数字乳房x线摄影对乳腺密度的影响。材料与方法本前瞻性研究在特里布万大学教学医院放射与影像科进行。数据是在2019年7月至10月的4个月内收集的,其中包括170名前来诊断或筛查乳房x光检查的患者,这些患者被记录为该检查的指征。采用适当的统计方法进行分析。结果纳入研究的女性平均年龄为48.09±9.13岁。近43%的患者乳房致密。根据BIRADS (Breast Imaging, Reporting and Data System,乳腺成像报告和数据系统)的病变分类,正常或良性的乳腺x线照片占77.7%,BIRADS 0级占4.7%,BIRADS 3、4、5级占17.7%。年龄与乳腺密度类型呈负相关。乳腺密度与BIRADS检查类别或适应症之间的关系不显著,而与乳房x线检查结果之间的相关性较弱。结论年龄与乳腺x线摄影密度呈反比线性关系,这与乳腺x线摄影在年龄较大且密度较小的人群中具有较高的敏感性是一致的。乳腺密度与BIRADS分类、适应症或乳房x光检查结果之间无相关性或弱相关性。BIRADS 0组患者均有致密乳腺。