Literature DB >> 18172758

The MSKCC nomogram for prediction the likelihood of non-sentinel node involvement in a German breast cancer population.

M Klar1, A Jochmann, M Foeldi, M Stumpf, G Gitsch, E Stickeler, D Watermann.   

Abstract

OBJECTIVE: To assess whether the Memorial Sloan Kettering Cancer Center (MSKCC) nomogram for prediction of NSLN metastasis is useful in a German breast cancer population and whether the characteristics of the breast tumor and the sentinel lymph node (SLN) are able to predict the likelihood of non-sentinel lymph node (NSLN) metastasis.
METHODS: A total of 545 patients with primary breast cancer and SLN examination were evaluated. The MSKCC nomogram was applied to 98 patients with a positive SLN who subsequently had completion axillary lymph node dissection (ALND). Predictive accuracy was assessed by calculating the area under the receiver-operator characteristic (ROC) curve. The collective was evaluated by correlating the prevalence of NSLN and SLN metastasis to pathological features.
RESULTS: The MSKCC nomogram achieved a ROC of 0.58 indicating a bad accuracy of the nomogram. Tumor size, histology, lymphovascular infiltration, multifocality, Her-2-neu positivity, and nuclear grade correlated with the probability of SLN metastasis. Histology and primary tumor localization correlated significantly with the probability of NSLN metastasis.
CONCLUSIONS: The MSKCC nomogram did not provide a reliable predictive model in our study population. However, the likelihood of SLN metastasis correlated with the presumed risk factors and no obvious differences between the MSKCC population and our population could be seen. In order to achieve interinstitutional reproducibility, standardization of surgical procedure and of the pathological assessment of the SLN is desirable.

Entities:  

Mesh:

Year:  2008        PMID: 18172758     DOI: 10.1007/s10549-007-9884-1

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  21 in total

1.  Validation of online calculators to predict the non-sentinel lymph node status in sentinel lymph node-positive breast cancer patients.

Authors:  Satoru Tanaka; Nayuko Sato; Hiroya Fujioka; Yuko Takahashi; Kosei Kimura; Mitsuhiko Iwamoto
Journal:  Surg Today       Date:  2012-06-22       Impact factor: 2.549

2.  Risk factors and a predictive nomogram for non-sentinel lymph node metastases in Chinese breast cancer patients with one or two sentinel lymph node macrometastases and mastectomy.

Authors:  X Y Wang; J T Wang; T Guo; X Y Kong; L Chen; J Zhai; Y Q Gao; Y Fang; J Wang
Journal:  Curr Oncol       Date:  2019-04-01       Impact factor: 3.677

3.  Diagnostic accuracy of dual-energy CT-based nomograms to predict lymph node metastasis in gastric cancer.

Authors:  Jing Li; Mengjie Fang; Rui Wang; Di Dong; Jie Tian; Pan Liang; Jie Liu; Jianbo Gao
Journal:  Eur Radiol       Date:  2018-06-04       Impact factor: 5.315

4.  Nomogram for predicting lymph node metastasis rate of submucosal gastric cancer by analyzing clinicopathological characteristics associated with lymph node metastasis.

Authors:  Zhixue Zheng; Yinan Zhang; Lianhai Zhang; Ziyu Li; Aiwen Wu; Xiaojiang Wu; Yiqiang Liu; Zhaode Bu; Jiafu Ji
Journal:  Chin J Cancer Res       Date:  2015-12       Impact factor: 5.087

5.  Evaluation of the Probability of Non-sentinel Lymph Node Metastasis in Breast Cancer Patients with Sentinel Lymph Node Metastasis using Two Different Methods.

Authors:  İrfan Başoğlu; Muhammet Ferhat Çelik; Ahmet Cem Dural; Mustafa Gökhan Ünsal; Cevher Akarsu; Halil Fırat Baytekin; Selin Kapan; Halil Alış
Journal:  J Breast Health       Date:  2015-10-01

6.  Comparison of two models for predicting non-sentinel lymph node metastases in sentinel lymph node-positive breast cancer patients.

Authors:  Giovanni D'Eredita'; Vito Leopoldo Troilo; Fernando Fischetti; Giuseppe Rubini; Tommaso Berardi
Journal:  Updates Surg       Date:  2011-05-31

7.  Validation of Memorial Sloan Kettering Cancer Center nomogram to detect non-sentinel lymph node metastases in a United Kingdom cohort.

Authors:  A Syed; S Eleti; V Kumar; A Ahmad; H Thomas
Journal:  G Chir       Date:  2018 Jan-Feb

8.  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

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

Review 10.  Prognostic factors in elderly patients with breast cancer.

Authors:  Alessandro Cappellani; Maria Di Vita; Antonio Zanghì; Andrea Cavallaro; Gaetano Piccolo; Marcello Majorana; Giuseppina Barbera; Massimiliano Berretta
Journal:  BMC Surg       Date:  2013-10-08       Impact factor: 2.102

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.