Cloete Daniel J, Minne Cornelia, Schoub Peter K, Becker Jan H R
Dr George Mukhari Academic Hospital, Ga-Rankuwa, South Africa.
Department of Diagnostic Radiology, Sefako Makgatho Health Sciences University, South Africa.
SA J Radiol. 2018 Nov 7;22(2):1532. doi: 10.4102/sajr.v22i2.1532. eCollection 2018.
Multiple breast lesions resembling fibroadenomas are a common imaging finding in patients presenting to the mammography unit at Dr George Mukhari Academic Hospital in the North-West district of Tshwane, South Africa. Patients often present with multiple lesions, up to 20 lesions per breast. These lesions often have atypical features on ultrasound and/or a clinical history of growth is commonly given. Phyllodes tumours may be indistinguishable from fibroadenomas and breast cancers may on occasion present with benign features, which can lead to misdiagnosis. Breast magnetic resonance imaging (bMRI) evaluation of lesions resembling fibroadenomas may improve accurate assessment and identification of lesions requiring biopsy.
To assess the reliability of bMRI to characterise lesions resembling fibroadenomas on ultrasound, using the Breast Imaging-Reporting and Data System (BI-RADS) and Kaiser scoring systems with histopathological correlation.
A quantitative, prospective, investigative study was performed with a sample size of 100 breast lesions among a total of 35 patients at Dr George Mukhari Academic Hospital. Patients were recruited after a breast ultrasound investigation revealed lesions resembling fibroadenomas, but with an indication for ultrasound-guided biopsy, for example, very large size, atypical features on ultrasound or a history of recent growth. The bMRI was performed prior to the ultrasound-guided breast biopsies. Three investigators independently evaluated the bMRI and applied BI-RADS descriptors to each lesion. The Kaiser score was then calculated for each lesion. Statistics were calculated using Pearson's and Spearman's coefficients for inter-reader variability, kappa scores for BI-RADS and Kaiser score correlation with histology.
Evaluation with bMRI, BI-RADS and the Kaiser scoring system showed statistically significant correlation with each other and with histopathology results for each lesion. There was statistically significant agreement among the investigators regarding the interpretation of the lesions and allocation of appropriate BI-RADS scores.
Multiple lesions resembling fibroadenomas can be evaluated with bMRI when multiple breast biopsies would not be feasible. With a good imaging protocol and technique, adequate interpretation skills by the radiologist and the use of the Kaiser scoring system, an accurate diagnosis can be achieved.
在南非茨瓦内西北区乔治·穆哈里学术医院乳腺钼靶检查科室就诊的患者中,出现多个类似纤维腺瘤的乳腺病变是一种常见的影像学表现。患者常出现多个病变,每个乳房多达20个病变。这些病变在超声检查中常具有非典型特征,并且/或者通常有生长的临床病史。叶状肿瘤可能与纤维腺瘤难以区分,乳腺癌有时可能表现出良性特征,这可能导致误诊。对类似纤维腺瘤的病变进行乳腺磁共振成像(bMRI)评估可能会改善对需要活检的病变的准确评估和识别。
使用乳腺影像报告和数据系统(BI-RADS)以及凯泽评分系统,并与组织病理学结果进行相关性分析,评估bMRI对超声检查中类似纤维腺瘤的病变进行特征描述的可靠性。
在乔治·穆哈里学术医院对35例患者中的100个乳腺病变进行了一项定量、前瞻性、调查性研究。在乳腺超声检查发现类似纤维腺瘤但有超声引导下活检指征(例如,非常大的尺寸、超声检查中的非典型特征或近期生长史)后招募患者。在超声引导下乳腺活检之前进行bMRI检查。三名研究人员独立评估bMRI,并对每个病变应用BI-RADS描述符。然后计算每个病变的凯泽评分。使用皮尔逊系数和斯皮尔曼系数计算读者间变异性的统计数据,使用kappa评分评估BI-RADS和凯泽评分与组织学的相关性。
bMRI、BI-RADS和凯泽评分系统的评估结果之间以及与每个病变的组织病理学结果之间均存在统计学上的显著相关性。研究人员在病变解释和适当BI-RADS评分分配方面存在统计学上的显著一致性。
当进行多次乳腺活检不可行时,可以使用bMRI对多个类似纤维腺瘤的病变进行评估。通过良好的成像方案和技术、放射科医生足够的解读技能以及使用凯泽评分系统,可以实现准确的诊断。