Mohindra Namita, Neyaz Zafar, Agrawal Vinita, Agarwal Gaurav, Mishra Prabhakar
Department of Radiodiagnosis, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Department of Pathology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India.
Int J Appl Basic Med Res. 2018 Jan-Mar;8(1):33-37. doi: 10.4103/ijabmr.IJABMR_372_16.
Digital breast tomosynthesis (DBT) is a new development in mammography technology which reduces the effect of overlapping tissue.
The aim is to interrogate whether addition of DBT to digital mammography (DM) helps in better characterization of mammographic abnormalities in breast cancer patients in general and in different breast compositions.
Retrospective, analytical cross-sectional study.
Mammographic findings in 164 patients with 170 pathologically proven lesions were evaluated by using first DM alone and thereafter with addition of DBT to DM. The perceived utility of adjunct DBT was scored using a rating of 0-2. A score of 0 indicating that DM plus DBT was comparable to DM alone, 1 indicating that DM plus DBT was slightly better, and 2 indicating that DM plus DBT was definitely better.
McNemar Chi-squares test, Fisher's exact test.
On DM, 149 lesions were characterized mass with or without calcifications, 18 asymmetries with or without calcifications, 2 as architectural distortion, and 1 as microcalcification alone. Adjunct DBT helped in better morphological characterization of 17 lesions, with revelation of underlying masses in 16 asymmetries and one architectural distortion. Adjunct DBT was perceived to be slightly better than DM alone in 44.7% lesions, and definitely better in 22.9% lesions. Lesions showing score 1 or 2 improvement were significantly higher in heterogeneously and extremely dense breasts ( < 0.001).
Adjunct DBT improves morphological characterization of lesions in patients with breast cancer. It highlights more suspicious features of lesions that indicate the presence of cancer, particularly in dense breasts.
数字乳腺断层合成(DBT)是乳腺摄影技术的一项新进展,可减少组织重叠的影响。
探讨在数字乳腺摄影(DM)基础上增加DBT是否有助于更好地表征乳腺癌患者总体及不同乳腺构成中的乳腺摄影异常。
回顾性分析横断面研究。
对164例患者的170个经病理证实的病变的乳腺摄影结果进行评估,先仅使用DM,然后在DM基础上增加DBT。使用0 - 2评分来评估辅助DBT的实用价值。0分表示DM加DBT与单独使用DM相当,1分表示DM加DBT稍好,2分表示DM加DBT肯定更好。
McNemar卡方检验、Fisher精确检验。
在DM上,149个病变表现为有或无钙化的肿块,18个表现为有或无钙化的不对称性,2个表现为结构扭曲,1个仅表现为微钙化。辅助DBT有助于更好地对17个病变进行形态学表征,在16个不对称性病变和1个结构扭曲病变中揭示了潜在肿块。在44.7%的病变中,辅助DBT被认为比单独使用DM稍好,在22.9%的病变中肯定更好。在异质性和极度致密乳腺中,显示评分提高1分或2分的病变显著更多(<0.001)。
辅助DBT可改善乳腺癌患者病变的形态学表征。它突出了病变更多提示癌症存在的可疑特征,尤其是在致密乳腺中。