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      Nomograms for preoperative prediction of axillary nodal status in breast cancer

      research-article
      1 , 3 , 2 , 1 , 4 ,
      The British Journal of Surgery
      John Wiley & Sons, Ltd

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          Abstract

          Background

          Axillary staging in patients with breast cancer and clinically node‐negative disease is performed by sentinel node biopsy ( SLNB). The aim of this study was to integrate feasible preoperative variables into nomograms to guide clinicians in stratifying treatment options into no axillary staging for patients with non‐metastatic disease ( N0), SLNB for those with one or two metastases, and axillary lymph node dissection ( ALND) for patients with three or more metastases.

          Methods

          Patients presenting to Skåne University Hospital, Lund, with breast cancer were included in a prospectively maintained registry between January 2009 and December 2012. Those with a preoperative diagnosis of nodal metastases were excluded. Patients with data on hormone receptor status, human epidermal growth factor receptor 2 and Ki‐67 expression were included to allow grouping into surrogate molecular subtypes. Based on logistic regression analyses, nomograms summarizing the strength of the associations between the predictors and each nodal status endpoint were developed. Predictive performance was assessed using the area under the receiver operating characteristic ( ROC) curve. Bootstrap resampling was performed for internal validation.

          Results

          Of the 692 patients eligible for analysis, 248 were diagnosed with node‐positive disease. Molecular subtype, age, mode of detection, tumour size, multifocality and vascular invasion were identified as predictors of any nodal disease. Nomograms that included these predictors demonstrated good predictive abilities, and comparable performances in the internal validation; the area under the ROC curve was 0·74 for N0 versus any lymph node metastasis, 0·70 for one or two involved nodes versus N0, and 0·81 for at least three nodes versus two or fewer metastatic nodes.

          Conclusion

          The nomograms presented facilitate preoperative decision‐making regarding the extent of axillary surgery.

          Abstract

          Defines need for staging?

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          Most cited references40

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          A randomized comparison of sentinel-node biopsy with routine axillary dissection in breast cancer.

          Although numerous studies have shown that the status of the sentinel node is an accurate predictor of the status of the axillary nodes in breast cancer, the efficacy and safety of sentinel-node biopsy require validation. From March 1998 to December 1999, we randomly assigned 516 patients with primary breast cancer in whom the tumor was less than or equal to 2 cm in diameter either to sentinel-node biopsy and total axillary dissection (the axillary-dissection group) or to sentinel-node biopsy followed by axillary dissection only if the sentinel node contained metastases (the sentinel-node group). The number of sentinel nodes found was the same in the two groups. A sentinel node was positive in 83 of the 257 patients in the axillary-dissection group (32.3 percent), and in 92 of the 259 patients in the sentinel-node group (35.5 percent). In the axillary-dissection group, the overall accuracy of the sentinel-node status was 96.9 percent, the sensitivity 91.2 percent, and the specificity 100 percent. There was less pain and better arm mobility in the patients who underwent sentinel-node biopsy only than in those who also underwent axillary dissection. There were 15 events associated with breast cancer in the axillary-dissection group and 10 such events in the sentinel-node group. Among the 167 patients who did not undergo axillary dissection, there were no cases of overt axillary metastasis during follow-up. Sentinel-node biopsy is a safe and accurate method of screening the axillary nodes for metastasis in women with a small breast cancer. Copyright 2003 Massachusetts Medical Society
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            Prognostic and predictive factors in early-stage breast cancer.

            Breast cancer is the most common malignancy among American women. Due to increased screening, the majority of patients present with early-stage breast cancer. The Oxford Overview Analysis demonstrates that adjuvant hormonal therapy and polychemotherapy reduce the risk of recurrence and death from breast cancer. Adjuvant systemic therapy, however, has associated risks and it would be useful to be able to optimally select patients most likely to benefit. The purpose of adjuvant systemic therapy is to eradicate distant micrometastatic deposits. It is essential therefore to be able to estimate an individual patient's risk of harboring clinically silent micrometastatic disease using established prognostic factors. It is also beneficial to be able to select the optimal adjuvant therapy for an individual patient based on established predictive factors. It is standard practice to administer systemic therapy to all patients with lymph node-positive disease. However, there are clearly differences among node-positive women that may warrant a more aggressive therapeutic approach. Furthermore, there are many node-negative women who would also benefit from adjuvant systemic therapy. Prognostic factors therefore must be differentiated from predictive factors. A prognostic factor is any measurement available at the time of surgery that correlates with disease-free or overall survival in the absence of systemic adjuvant therapy and, as a result, is able to correlate with the natural history of the disease. In contrast, a predictive factor is any measurement associated with response to a given therapy. Some factors, such as hormone receptors and HER2/neu overexpression, are both prognostic and predictive.
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              A nomogram for predicting the likelihood of additional nodal metastases in breast cancer patients with a positive sentinel node biopsy.

              The standard of care for breast cancer patients with sentinel lymph node (SLN) metastases includes complete axillary lymph node dissection (ALND). However, many question the need for complete ALND in every patient with detectable SLN metastases, particularly those perceived to have a low risk of non-SLN metastases. Accurate estimates of the likelihood of additional disease in the axilla could assist greatly in decision-making regarding further treatment. Pathological features of the primary tumor and SLN metastases of 702 patients who underwent complete ALND were assessed with multivariable logistic regression to predict the presence of additional disease in the non-SLNs of these patients. A nomogram was created using pathological size, tumor type and nuclear grade, lymphovascular invasion, multifocality, and estrogen-receptor status of the primary tumor; method of detection of SLN metastases; number of positive SLNs; and number of negative SLNs. The model was subsequently applied prospectively to 373 patients. The nomogram for the retrospective population was accurate and discriminating, with an area under the receiver operating characteristic (ROC) curve of 0.76. When applied to the prospective group, the model accurately predicted likelihood of non-SLN disease (ROC, 0.77). We have developed a user-friendly nomogram that uses information commonly available to the surgeon to easily and accurately calculate the likelihood of having additional, non-SLN metastases for an individual patient.
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                Author and article information

                Contributors
                lisa.ryden@med.lu.se
                Journal
                Br J Surg
                Br J Surg
                10.1002/(ISSN)1365-2168
                BJS
                The British Journal of Surgery
                John Wiley & Sons, Ltd (Chichester, UK )
                0007-1323
                1365-2168
                18 July 2017
                October 2017
                : 104
                : 11 ( doiID: 10.1002/bjs.2017.104.issue-11 )
                : 1494-1505
                Affiliations
                [ 1 ] Departments of Surgery Clinical Sciences Lund, Lund University Lund Sweden
                [ 2 ] Departments of Oncology and Pathology Clinical Sciences Lund, Lund University Lund Sweden
                [ 3 ] Department of Plastic and Reconstructive Surgery Skåne University Hospital Malmö Sweden
                [ 4 ] Department of Surgery Skåne University Hospital Malmö Sweden
                Author notes
                [*] [* ]Correspondence to: Professor L. Rydén, Lund University, Faculty of Medicine, Department of Clinical Sciences Lund, Surgery, Medicon Village, SE‐223 81, Lund, Sweden (e‐mail: lisa.ryden@ 123456med.lu.se )
                Author information
                http://orcid.org/0000-0001-7515-3130
                Article
                BJS10583
                10.1002/bjs.10583
                5601253
                28718896
                f80b6a8f-bd35-41f0-ad5f-6c22f8325d2d
                © 2017 The Authors. BJS published by John Wiley & Sons Ltd on behalf of BJS Society Ltd.

                This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.

                History
                : 10 October 2016
                : 26 March 2017
                : 04 April 2017
                Page count
                Figures: 4, Tables: 3, Pages: 12, Words: 6469
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                bjs10583
                October 2017
                Converter:WILEY_ML3GV2_TO_NLMPMC version:5.1.9 mode:remove_FC converted:18.09.2017

                Surgery
                Surgery

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