Alikhassi Afsaneh, Li Xuan, Au Frederick, Kulkarni Supriya, Ghai Sandeep, Allison Grant, Freitas Vivianne
Division of Breast Imaging, Department of Medical Imaging, Sunnybrook Health Sciences Centre, University of Toronto, 2075 Bayview Ave, Toronto, ON, M4N 3M5, Canada.
Department of Biostatistics-Princess Margaret Cancer Centre, University Health Network, 610 University Avenue, 10Th Floor, Room 10-509, Toronto, ON, M5G 2M9, Canada.
Breast Cancer Res Treat. 2023 Apr;198(2):321-334. doi: 10.1007/s10549-023-06861-y. Epub 2023 Feb 6.
To identify demographic and imaging features of MRI-detected enhancing lesions without clinical, ultrasound, and mammographic correlation associated with false-positive outcomes, impacting patient care.
A retrospective multi-institutional study of imaging studies and patient's chart review of consecutive women with MRI-detected enhancing lesions without clinical, mammogram, or ultrasound correlation between January and December 2018, who underwent MRI-guided biopsy. According to the BI-RADS lexicon, lesions' frequency and imaging features were recorded. The demographic and imaging characteristics variables were correlated with histopathology as the gold standard and an uneventful follow-up of at least one year. Univariate logistic regression analysis was used to explore the correlation between the baseline variables such as age, genetic mutation, family history of breast cancer, personal history of breast cancer, MRI indication, background parenchymal enhancement, and MRI characteristic of the lesion with the false-positive results in main data and subgroup analysis.
Two hundred nineteen women (median age 49 years; range 26-85 years) with 219 MRI-detected enhancing lesions that underwent MRI-guided vacuum-assisted biopsy during the study period fulfilled the study criteria and formed the study cohort. Out of 219, 180 lesions (82.2%) yielded benign pathology results, including 137 benign outcomes (76%) and 43 high-risk lesions (24%). Most demographic and imaging characteristics variables did not help to differentiate malignant from benign lesions. The variables that showed statistically significant association with true-positive results in univariate analyses were age (OR 1.05; 95% CI 1.02-1.08; p = 0.0015), irregular mass-lesion shape when compared with oval/round mass lesion (OR 11.2; 95% CI 1.6-78.4; p = 0.015), and clumped and clustered ring of enhancement when compared with homogeneous (OR 3.22, 95% CI 1.40-7.40; p = 0.0058). For participants with mass breast lesion, the hyperintense signal on the T2-weighted sequence (compared to the normal fibroglandular signal) was significantly related to the false-positive result (OR 0.13; 95% CI 0.02-0.76; p = 0.024).
Young patients, oval/round mass-lesion shape, and homogeneous pattern of non-mass enhancement showed the strongest association with false-positive results of enhancing lesions depicted by MRI. For participants with mass breast lesion, T2-bright mass lesion showed significant association with false-positive result. It may impact the patient's management with a suggestion of follow-up rather than interventional procedure when these demographic and imaging parameters are present, consequently decreasing the patient's anxiety and health care costs.
识别MRI检测到的强化病变的人口统计学和影像学特征,这些病变无临床、超声和乳腺X线摄影相关性,与假阳性结果相关,影响患者护理。
一项回顾性多机构研究,对2018年1月至12月间连续的MRI检测到强化病变且无临床、乳腺X线摄影或超声相关性的女性进行影像学研究和患者病历回顾,这些女性均接受了MRI引导下活检。根据BI-RADS词典,记录病变的频率和影像学特征。将人口统计学和影像学特征变量与作为金标准的组织病理学以及至少一年的平稳随访结果进行相关性分析。采用单因素逻辑回归分析探讨年龄、基因突变、乳腺癌家族史、个人乳腺癌病史、MRI检查指征、背景实质强化以及病变的MRI特征等基线变量与主要数据和亚组分析中的假阳性结果之间的相关性。
219名女性(中位年龄49岁;范围26 - 85岁)在研究期间有219个MRI检测到的强化病变并接受了MRI引导下真空辅助活检,符合研究标准并形成研究队列。在这219个病变中,180个(82.2%)病理结果为良性,包括137个良性结果(76%)和43个高危病变(24%)。大多数人口统计学和影像学特征变量无助于区分恶性病变和良性病变。在单因素分析中与真阳性结果显示出统计学显著关联的变量有年龄(OR 1.05;95%CI 1.02 - 1.08;p = 0.0015),与椭圆形/圆形肿块病变相比的不规则肿块病变形状(OR 11.2;95%CI 1.6 - 78.4;p = 0.015),以及与均匀强化相比的聚集和簇状强化环(OR 3.22,9/%CI 1.40 - 7.40;p = 0.0058)。对于有乳腺肿块病变的参与者,T2加权序列上的高信号(与正常纤维腺体信号相比)与假阳性结果显著相关(OR 0.13;95%CI 0.02 - 0.76;p = 0.024)。
年轻患者、椭圆形/圆形肿块病变形状以及非肿块强化的均匀模式与MRI显示的强化病变假阳性结果关联最强。对于有乳腺肿块病变的参与者,T2高信号肿块病变与假阳性结果显著相关。当出现这些人口统计学和影像学参数时,可能会影响患者的管理,建议进行随访而非介入性操作,从而降低患者的焦虑和医疗费用。