Literature DB >> 16021535

Predicting nonsentinel node status after positive sentinel lymph biopsy for breast cancer: clinicians versus nomogram.

Michelle C Specht1, Michael W Kattan, Mithat Gonen, Jane Fey, Kimberly J Van Zee.   

Abstract

BACKGROUND: With increasing frequency, breast cancer patients and clinicians are questioning the need for completion axillary lymph node dissection (ALND) in the setting of a positive sentinel lymph node (SLN). We previously developed a nomogram to estimate the likelihood of residual disease in the axilla after a positive SLN biopsy result. In this study, we compared the predictions of clinical experts with those generated by the nomogram and evaluated the ability of the nomogram to change clinicians' behavior.
METHODS: Pathologic features of the primary tumor and SLN metastases of 33 patients who underwent completion ALND were presented to 17 breast cancer specialists. Their predictions for each patient were recorded and compared with results from our nomogram. Subsequently, clinicians were presented with clinical information for eight patients and asked whether they would perform a completion ALND before and after being presented with the nomogram prediction.
RESULTS: The predictive model achieved an area under the receiver operating characteristic curve of .72 when applied to the test data set of 33 patients. In comparison, the clinicians as a group were associated with an area under the receiver operating characteristic curve of .54 (P < .01 vs. nomogram). With regard to performing a completion ALND, providing nomogram results did not alter surgical planning.
CONCLUSIONS: Our predictive model seemed to substantially outperform clinical experts. Despite this, clinicians were unlikely to change their surgical plan based on nomogram results. It seems that most clinicians can improve their predictive ability by using the nomogram to predict the likelihood of additional non-SLN metastases in a woman with a positive SLN biopsy result.

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Year:  2005        PMID: 16021535     DOI: 10.1245/ASO.2005.06.037

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


  41 in total

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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

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3.  Nomogram Identifies Age as the Most Important Predictor of Overall Survival in Oral Cavity Squamous Cell Cancer After Primary Surgery.

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Journal:  Indian J Otolaryngol Head Neck Surg       Date:  2019-08-16

Review 4.  Role of nomograms for prostate cancer in 2007.

Authors:  Felix K-H Chun; Pierre I Karakiewicz; Hartwig Huland; Markus Graefen
Journal:  World J Urol       Date:  2007-02-27       Impact factor: 4.226

5.  Practice Variation Among Hospitals in Revascularization Therapy and Its Association With Procedure-related Mortality.

Authors:  Jarrod E Dalton; David A Zidar; Belinda L Udeh; Manesh R Patel; Jesse D Schold; Neal V Dawson
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6.  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

Review 7.  Critical review of prostate cancer predictive tools.

Authors:  Shahrokh F Shariat; Michael W Kattan; Andrew J Vickers; Pierre I Karakiewicz; Peter T Scardino
Journal:  Future Oncol       Date:  2009-12       Impact factor: 3.404

8.  Predictive factors for non-sentinel lymph node involvement in breast cancer patients with a positive sentinel node: should we consider sentinel node-related factors?

Authors:  J L Fougo; M Afonso; F Senhorães Senra; T Dias; C Leal; C Araújo; M Dinis-Ribeiro
Journal:  Clin Transl Oncol       Date:  2009-03       Impact factor: 3.405

9.  Development and Internal Validation of a Web-based Tool to Predict Sexual, Urinary, and Bowel Function Longitudinally After Radiation Therapy, Surgery, or Observation.

Authors:  Aaron A Laviana; Zhiguo Zhao; Li-Ching Huang; Tatsuki Koyama; Ralph Conwill; Karen Hoffman; Michael Goodman; Ann S Hamilton; Xiao-Cheng Wu; Lisa E Paddock; Antoinette Stroup; Matthew R Cooperberg; Mia Hashibe; Brock B O'Neil; Sherrie H Kaplan; Sheldon Greenfield; David F Penson; Daniel A Barocas
Journal:  Eur Urol       Date:  2020-02-22       Impact factor: 20.096

Review 10.  Brain Biomarkers of Vulnerability and Progression to Psychosis.

Authors:  Tyrone D Cannon
Journal:  Schizophr Bull       Date:  2015-12-09       Impact factor: 9.306

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