Different Imaging Modalities for the Diagnosis of Axillary Lymph Node Metastases in Breast Cancer: A Systematic Review and Network Meta‐Analysis of Diagnostic Test Accuracy

• Published in: Journal of magnetic resonance imaging Vol. 57; no. 5; pp. 1392 - 1403
• Main Authors: Li, Zhifan, Gao, Ya, Gong, Hengxin, Feng, Wen, Ma, Qinqin, Li, Jinkui, Lu, Xingru, Wang, Xiaohui, Lei, Junqiang
• Format: Journal Article
• Language: English
• Published: Hoboken, USA John Wiley & Sons, Inc 01.05.2023; Wiley Subscription Services, Inc
• Subjects: axillary; Bayes Theorem; Bayesian analysis; Breast cancer; Breast Neoplasms - pathology; Computed tomography; Confidence intervals; Diagnosis; diagnostic test accuracy; Diagnostic tests; Diagnostic Tests, Routine; Female; Field strength; Humans; imaging; Lymph nodes; Lymph Nodes - pathology; Lymphatic Metastasis - pathology; Lymphatic system; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Mammography; Medical imaging; Meta-analysis; Metastases; network meta‐analysis; Patients; Performance evaluation; Positron emission; Positron Emission Tomography Computed Tomography - methods; Positron-Emission Tomography - methods; Risk assessment; Sensitivity analysis; Sensitivity and Specificity; Statistical analysis; Systematic review; United States > US; axillary; breast cancer; diagnostic test accuracy; network meta-analysis; systematic review; imaging
• ISSN: 1053-1807; 1522-2586; 1522-2586
• DOI: 10.1002/jmri.28399

Background Accurate diagnosis of axillary lymph node metastasis (ALNM) of breast cancer patients is important to guide local and systemic treatment. Purpose To evaluate the diagnostic performance of different imaging modalities for ALNM in patients with breast cancer. Study Type Systematic review an...