ASO Author Reflections: Use of Axillary Staging Surgery Before Systemic Therapy in Breast Cancer Highlights a Need for Implementation Science in Surgery

Author(s):  
Kathleen Iles ◽  
Stephanie Downs-Canner
2019 ◽  
Vol 269 (3) ◽  
pp. 432-442 ◽  
Author(s):  
Janine M. Simons ◽  
Thiemo J. A. van Nijnatten ◽  
Carmen C. van der Pol ◽  
Ernest J. T. Luiten ◽  
Linetta B. Koppert ◽  
...  

Breast Care ◽  
2021 ◽  
pp. 1-6
Author(s):  
Sabine R. de Wild ◽  
Janine M. Simons ◽  
Marie-Jeanne T.F.D. Vrancken Peeters ◽  
Marjolein L. Smidt ◽  
Linetta B. Koppert

<b><i>Background:</i></b> There is a trend towards de-escalating axillary staging and treatment in breast cancer patients. On account of neoadjuvant systemic therapy, node-positive breast cancer patients can achieve a pathological complete response of the axilla. It is hypothesized that these patients do not benefit from an axillary lymph node dissection (ALND), and thus may be spared the risk of severe post-surgical morbidity. In an effort to omit standard ALND, less invasive axillary staging procedures are being implemented to establish response-guided treatment. However, it is unclear which less invasive staging procedure is most accurate, and long-term data are missing with regard to their oncologic safety. <b><i>Summary:</i></b> This article provides an overview of the literature on currently used less invasive axillary staging procedures, the accuracy and feasibility of these procedures in clinical practice, important issues concerning axillary treatment, and issues to be addressed in ongoing or future studies. <b><i>Key messages:</i></b> More evidence is needed regarding the safety of replacing standard ALND by less invasive axillary staging procedures in terms of long-term prognosis. These less invasive staging procedures not only serve to select patients who may benefit from treatment de-escalation, but also to select patients who may benefit from treatment escalation.


2019 ◽  
Vol 106 (12) ◽  
pp. 1632-1639 ◽  
Author(s):  
J. M. Simons ◽  
M. L. M. A. van Pelt ◽  
A. W. K. S. Marinelli ◽  
M. E. Straver ◽  
A. M. Zeillemaker ◽  
...  

2004 ◽  
Vol 43 (01) ◽  
pp. 4-9 ◽  
Author(s):  
A. Bembenek ◽  
H. Büchels ◽  
T. Decker ◽  
J. Dunst ◽  
U. Müllerleile ◽  
...  

SummaryThe international consensus conference from St. Gallen concerning the treatment of early breast cancer concluded in 2003, that sentinel node biopsy was now accepted as method allowing axillary staging in breast cancer. This procedure may avoid complete lymph node dissection in appropriate cases. Since numerous questions associated with the technique are still not defined and the procedure itself is not yet standardized, the German Society of Senology defined the conditions for the routine clinical use of sentinel node biopsy in an interdisciplinary consensus meeting.


Cancers ◽  
2021 ◽  
Vol 13 (10) ◽  
pp. 2447
Author(s):  
Renée W. Y. Granzier ◽  
Abdalla Ibrahim ◽  
Sergey P. Primakov ◽  
Sanaz Samiei ◽  
Thiemo J. A. van Nijnatten ◽  
...  

This retrospective study investigated the value of pretreatment contrast-enhanced Magnetic Resonance Imaging (MRI)-based radiomics for the prediction of pathologic complete tumor response to neoadjuvant systemic therapy in breast cancer patients. A total of 292 breast cancer patients, with 320 tumors, who were treated with neo-adjuvant systemic therapy and underwent a pretreatment MRI exam were enrolled. As the data were collected in two different hospitals with five different MRI scanners and varying acquisition protocols, three different strategies to split training and validation datasets were used. Radiomics, clinical, and combined models were developed using random forest classifiers in each strategy. The analysis of radiomics features had no added value in predicting pathologic complete tumor response to neoadjuvant systemic therapy in breast cancer patients compared with the clinical models, nor did the combined models perform significantly better than the clinical models. Further, the radiomics features selected for the models and their performance differed with and within the different strategies. Due to previous and current work, we tentatively attribute the lack of improvement in clinical models following the addition of radiomics to the effects of variations in acquisition and reconstruction parameters. The lack of reproducibility data (i.e., test-retest or similar) meant that this effect could not be analyzed. These results indicate the need for reproducibility studies to preselect reproducible features in order to properly assess the potential of radiomics.


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