The diagnostic value of both mammography and MRI in combination with clinical features in high-risk breast lesions
10.3760/cma.j.issn.1005-1201.2020.03.006
- VernacularTitle:乳腺X线摄影及MRI结合临床特征对乳腺高危病变诊断价值
- Author:
Chao YOU
1
;
Weijun PENG
;
Yajia GU
;
Sheng CHEN
;
Xiaohang LIU
;
Tingting JIANG
;
Wentao YANG
Author Information
1. 复旦大学附属肿瘤医院放射诊断科，复旦大学上海医学院肿瘤学系 200032
- From:
Chinese Journal of Radiology
2020;54(3):203-208
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To evaluate the value of mammography and MRI combined with clinical features in predicting upgrade to malignancy in high-risk breast lesions.Methods:Data from 230 patients who were diagnosed with high-risk breast lesions and underwent both mammography and MRI examinations before biopsy were analyzed retrospectively from Jan 2017 to Mar 2018 in Fudan University Shanghai Cancer Hospital. The imaging features of both mammography and MRI were analyzed, and the association between mammography, MRI and clinical features were evaluated using pathology as the gold standard. Independent t test and χ 2 test were used to compare the difference of clinical and imaging features between upgrade and non-upgrade groups, using receiver operating characteristic (ROC) curve to test the diagnostic value between mammography and MRI. Binary logistic regression was used to evaluate the correlation between upgrade and clinical, imaging findings. Results:Two hundred and thirty patients had 230 lesions, and 47 cases had atypia upgrade to malignancy during second surgery (upgrade rate was 20.4%). There were statistically significant differences in age, maximum diameter of lesion, and menopausal status between the upgraded and non-upgraded groups ( P<0.05). There was no statistically significant difference in mammographic features between two groups ( P>0.05), while there was statistically significant difference in breast MRI features and background parenchymal enhancement ( P<0.05). For the diagnostic value in predicting upgrade of high-risk lesions, MRI was better than mammography (the areas under ROC curve were 0.913 and 0.606, Z=6.919, P<0.01). Single factor analysis showed that age, lesion size, menopausal status, MRI negative and background parenchymal enhancement on MRI were significantly different for upgrade to malignancy ( P<0.05). Multiple factors analysis showed age and background parenchymal enhancement on MRI were independent factors for predicting upgrade ( P<0.01). Conclusion:For the upgrade to malignancy in high-risk lesions, the diagnostic value of MRI is better than mammography. The elder age and moderate or marked background parenchymal enhancement on MRI may serve as useful predictors of upgrade.
