Literature DB >> 16463073

Validation of a breast cancer nomogram for predicting nonsentinel lymph node metastases after a positive sentinel node biopsy.

Laura A Lambert1, Gregory D Ayers, Rosa F Hwang, Kelly K Hunt, Merrick I Ross, Henry M Kuerer, S Eva Singletary, Gildy V Babiera, Frederick C Ames, Barry Feig, Anthony Lucci, Savitri Krishnamurthy, Funda Meric-Bernstam.   

Abstract

BACKGROUND: Although completion lymph node dissection (CLND) is the standard of care for breast cancer patients with sentinel lymph node (SLN) metastases, the SLN is the only node with tumor in 40% to 60% of cases. To assist with decision-making regarding CLND, investigators at Memorial Sloan-Kettering Cancer Center devised and validated a nomogram for predicting the likelihood of non-SLN metastases. To assess the generalizable use of this nomogram, validation analysis was performed by using an external database.
METHODS: Eight clinicopathologic variables for 200 consecutive breast cancer patients at the University of Texas M. D. Anderson Cancer Center with SLN metastases and CLND were entered into the nomogram. The accuracy of the nomogram to predict non-SLN metastases was assessed by the receiver operating characteristic (ROC) curve and linear regression analysis. The accuracy of the nomogram with touch-imprint cytology (TIC) as a substitute variable for frozen section was also evaluated.
RESULTS: The linear correlation coefficient of the nomogram-predicted probabilities correlated with the observed incidence of non-SLN metastases for all patients (.97). The accuracy of the nomogram as measured by the area under the ROC curve was .71. When applied solely to patients who had TIC assessment of the SLN, the area under the ROC curve was .74.
CONCLUSIONS: This study validated the Memorial Sloan-Kettering Cancer Center breast cancer nomogram by using an external database. TIC seems to be an acceptable substitute for frozen section as a nomogram variable. The nomogram may help predict an individual's risk of non-SLN metastases and assist in patient decision making regarding the benefit of CLND.

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Year:  2006        PMID: 16463073     DOI: 10.1245/ASO.2006.03.078

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  21 in total

1.  Postoperative Nomogram for Predicting Cancer-Specific Mortality in Medullary Thyroid Cancer.

Authors:  Allen S Ho; Lu Wang; Frank L Palmer; Changhong Yu; Arnbjorn Toset; Snehal Patel; Michael W Kattan; R Michael Tuttle; Ian Ganly
Journal:  Ann Surg Oncol       Date:  2014-11-04       Impact factor: 5.344

2.  Memorial Sloan-Kettering Cancer Center Nomogram to predict the risk of non-sentinel lymph node metastasis in Japanese breast cancer patients.

Authors:  Tatsunari Sasada; Shigeru Murakami; Tsuyoshi Kataoka; Masahiro Ohara; Shinji Ozaki; Morihito Okada; Hideki Ohdan
Journal:  Surg Today       Date:  2011-12-14       Impact factor: 2.549

3.  Value of frozen section and primary tumor factors in determining sentinel lymph node spread in early breast carcinoma.

Authors:  Rajshekhar C Jaka; Shabber S Zaveri; S P Somashekhar; R V Parameswaran
Journal:  Indian J Surg Oncol       Date:  2010-08-07

4.  Prediction of involvement of sentinel and nonsentinel lymph nodes in a Canadian population with breast cancer.

Authors:  Ravi Ramjeesingh; May Lynn Quan; Sandra Gardner; Claire M B Holloway
Journal:  Can J Surg       Date:  2009-02       Impact factor: 2.089

5.  Evaluation of the stage IB designation of the American Joint Committee on Cancer staging system in breast cancer.

Authors:  Elizabeth A Mittendorf; Karla V Ballman; Linda M McCall; Min Yi; Aysegul A Sahin; Isabelle Bedrosian; Nora Hansen; Sheryl Gabram; Thelma Hurd; Armando E Giuliano; Kelly K Hunt
Journal:  J Clin Oncol       Date:  2014-12-08       Impact factor: 44.544

6.  Lymphovascular invasion and lobular histology are associated with increased incidence of isolated tumor cells in sentinel lymph nodes from early-stage breast cancer patients.

Authors:  Elizabeth A Mittendorf; Aysegul A Sahin; Susan L Tucker; Funda Meric-Bernstam; Min Yi; Khazi M Nayeemuddin; Gildy V Babiera; Merrick I Ross; Barry W Feig; Henry M Kuerer; Kelly K Hunt
Journal:  Ann Surg Oncol       Date:  2008-09-25       Impact factor: 5.344

7.  Predicting non-sentinel lymph node status after positive sentinel biopsy in breast cancer: what model performs the best in a Czech population?

Authors:  Oldrich Coufal; Tomás Pavlík; Pavel Fabian; Rita Bori; Gábor Boross; István Sejben; Róbert Maráz; Jaroslav Koca; Eva Krejcí; Iva Horáková; Vendula Foltinová; Pavlína Vrtelová; Vojtech Chrenko; Wolde Eliza Tekle; Mária Rajtár; Mihály Svébis; Vuk Fait; Gábor Cserni
Journal:  Pathol Oncol Res       Date:  2009-05-15       Impact factor: 3.201

Review 8.  Completion of axillary dissection for a positive sentinel node: necessary or not?

Authors:  Kathleen M Erb; Thomas B Julian
Journal:  Curr Oncol Rep       Date:  2009-01       Impact factor: 5.075

9.  Factors Influencing Non-sentinel Node Involvement in Sentinel Node Positive Patients and Validation of MSKCC Nomogram in Indian Breast Cancer Population.

Authors:  Naveen Padmanabhan; Muhamed Faizal Ayub; Khadher Hussain; Ann Kurien; Selvi Radhakrishna
Journal:  Indian J Surg Oncol       Date:  2015-12-05

10.  Factors predicting additional disease in the axilla in patients with positive sentinel lymph nodes after neoadjuvant chemotherapy.

Authors:  Jacqueline S Jeruss; Lisa A Newman; Gregory D Ayers; Massimo Cristofanilli; Kristine R Broglio; Funda Meric-Bernstam; Min Yi; Jennifer F Waljee; Merrick I Ross; Kelly K Hunt
Journal:  Cancer       Date:  2008-06-15       Impact factor: 6.860

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