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Positive Predictive Value of Mammographic Lymphography in the Evaluation of Patients with Breast Cancer: A Preliminary Study.

Abstract：

RATIONALE AND OBJECTIVES:The study aimed to investigate the positive predictive value (PPV) of mammographic lymphography (MLG) for assessing malignant breast disease and lymphatic metastasis in patients in a typical clinical setting. MATERIALS AND METHODS:Patients who underwent mammography with Breast Imaging Reporting and Data System (BI-RADS) category 4 or 5 lesions and had abnormal mammographic findings in the upper-outer quadrant of the breast were enrolled. Next, MLG was performed. A water-soluble agent was subcutaneously injected into the upper-outer periareolar region of the bilateral breast, and mammography was then performed. Morphologic characteristics, including lymphatic vessel development, the presence of lymphatic vessel defects, and dilation, were recorded for evaluation. RESULTS:Fifty-one patients with BI-RADS category 4 lesions and 40 patients with BI-RADS category 5 lesions were included in the study. Sixty-one patients were found to have malignant disease, whereas 30 patients were found to have benign disease. Morphologic characteristics were recorded for evaluation. The interobserver agreement was evaluated and was classified as excellent according to kappa analysis. The PPV of MLG characteristics for malignant breast disease and lymphatic metastasis was analyzed by logistic regression, and the presentation of a lymphatic vessel defect was the most predictive characteristic of a malignancy (PPV: 0.89; P value: 0.02) in patients with BI-RADS category 4 lesions. Meanwhile, in patients with malignant breast disease, the PPVs for predicting lymphatic metastasis with lymphatic vessel defect and dilation were 0.50 (P value: 0.02) and 0.67 (P value: <0.01), respectively. CONCLUSION:The assessment of morphologic characteristics by MLG has the potential to predict malignant breast disease and lymphatic metastasis.

journal_name

Acad Radiol

journal_title

Academic radiology

authors

Zhang K,Lu Q,Hua J,Xu J,Wu G

doi

10.1016/j.acra.2016.05.001

subject

Has Abstract

pub_date

2016-10-01 00:00:00

pages

1278-82

issue

10

eissn

1076-6332

issn

1878-4046

pii

S1076-6332(16)30071-X

journal_volume

23

pub_type

杂志文章

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