2018
DOI: 10.1016/j.suronc.2018.02.003
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Risk scoring system for predicting axillary response after neoadjuvant chemotherapy in initially node-positive women with breast cancer

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Cited by 16 publications
(27 citation statements)
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“…Tadros et al 9 concluded that the risk of missing nodal metastases if surgical axillary staging is omitted is very small in patients with initial cN0 status and no residual disease in the breast, especially in the triple-negative and HER2-positive subgroups. In the light of de-escalated surgery, risk scoring systems are emerging with the aim of identifying women with the highest likelihood of nodal conversion who might be spared any axillary surgery after NAST 26 . In patients with cN0 disease and a negative SLNB after NAST, most women can now be spared an ALND.…”
Section: Discussionmentioning
confidence: 99%
“…Tadros et al 9 concluded that the risk of missing nodal metastases if surgical axillary staging is omitted is very small in patients with initial cN0 status and no residual disease in the breast, especially in the triple-negative and HER2-positive subgroups. In the light of de-escalated surgery, risk scoring systems are emerging with the aim of identifying women with the highest likelihood of nodal conversion who might be spared any axillary surgery after NAST 26 . In patients with cN0 disease and a negative SLNB after NAST, most women can now be spared an ALND.…”
Section: Discussionmentioning
confidence: 99%
“…Several groups have found that adding MRI response of the primary tumor to clinicopathologic data achieves significantly better predictive power. [74][75][76][77] Ha et al trained an artificial intelligence algorithm to predict pCR in the axilla based on pretreatment MRI of the in-breast tumor alone, achieving an overall accuracy of 83%. 78 These models could improve prediction of axillary disease and allow better preoperative planning and patient counseling regarding surgical and radiation options.…”
Section: Lymph Node Evaluationmentioning
confidence: 99%
“…Negative hormone receptor and positive HER2 receptor status, lower clinical T and N stages, high histologic/nuclear grade, and breast tumor response to neoadjuvant therapy are predictors for axillary pCR. Several groups have found that adding MRI response of the primary tumor to clinicopathologic data achieves significantly better predictive power 74–77 . Ha et al trained an artificial intelligence algorithm to predict pCR in the axilla based on pretreatment MRI of the in‐breast tumor alone, achieving an overall accuracy of 83% 78 .…”
Section: Lymph Node Evaluationmentioning
confidence: 99%
“…The improvement in survival is more likely to occur in triple negative breast cancer, and in human epidermal growth factor 2 (HER2)-positive breast cancer, particularly when trastuzumab is added to the treatment regimen. The patients who achieve axillary pCR, show better loco-regional and survival outcomes, irrespective of the primary tumor response [45710111213141516]. NAT also provides adequate time for genetic testing, and planning for breast reconstruction, when indicated.…”
mentioning
confidence: 99%
“…The rates for axillary pCR are higher, reaching up to 37% (between 5% and 75%). This rate reaches up to 21% in patients with estrogen receptor-positive/HER2-negative tumors, 60% in triple negative tumors, between 67% and 73% in HER2-positive tumors when trastuzumab is used in combination with chemotherapy, and up to 97% when dual HER2 blockage is applied [7810111516202324].…”
mentioning
confidence: 99%