PET / CT and MRI for Identifying Axillary Lymph Node Metastases in Breast Cancer Patients: Systematic Review and Meta‐Analysis

2020 ◽  
Vol 52 (6) ◽  
pp. 1840-1851 ◽  
Author(s):  
Xin Zhang ◽  
Yuanyuan Liu ◽  
Hongbing Luo ◽  
Jianhui Zhang
2012 ◽  
Vol 53 (5) ◽  
pp. 518-523 ◽  
Author(s):  
Steffen Hahn ◽  
Jennifer Hecktor ◽  
Florian Grabellus ◽  
Verena Hartung ◽  
Thorsten Pöppel ◽  
...  

2010 ◽  
Vol 37 (6) ◽  
pp. 1069-1076 ◽  
Author(s):  
Marieke E. Straver ◽  
Tjeerd S. Aukema ◽  
Renato A. Valdes Olmos ◽  
Emiel J. T. Rutgers ◽  
Kenneth G. A. Gilhuijs ◽  
...  

Oncology ◽  
2021 ◽  
pp. 1-5
Author(s):  
Vilma Madekivi ◽  
Antti Karlsson ◽  
Pia Boström ◽  
Eeva Salminen

Background: Nomograms can help in estimating the nodal status among clinically node-negative patients. Yet their validity in external cohorts over time is unknown. If the nodal stage can be estimated preoperatively, the need for axillary dissection can be decided. Objectives: The aim of this study was to validate three existing nomograms predicting 4 or more axillary lymph node metastases. Method: The risk for ≥4 lymph node metastases was calculated for n = 529 eligible breast cancer patients using the nomograms of Chagpar et al. [Ann Surg Oncol. 2007;14:670–7], Katz et al. [J Clin Oncol. 2008;26(13):2093–8], and Meretoja et al. [Breast Cancer Res Treat. 2013;138(3):817–27]. Discrimination and calibration were calculated for each nomogram to determine their validity. Results: In this cohort, the AUC values for the Chagpar, Katz, and Meretoja models were 0.79 (95% CI 0.74–0.83), 0.87 (95% CI 0.83–0.91), and 0.82 (95% CI 0.76–0.86), respectively, showing good discrimination between patients with and without high nodal burdens. Conclusion: This study presents support for the use of older breast cancer nomograms and confirms their current validity in an external population.


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