Users Online: 609
Home Print this page Email this page
Home About us Editorial board Search Browse articles Submit article Ahead of Print Instructions Subscribe Contacts Special issues Login 
ORIGINAL ARTICLE
Year : 2022  |  Volume : 11  |  Issue : 1  |  Page : 108

A combined nomogram model to preoperatively predict positive sentinel lymph biopsy for breast cancer in Iranian population


1 Department of General Surgery, School of Medicine, Hazrat-e Rasool General Hospital, Iran University of Medical Sciences, Tehran, Iran
2 Department of Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
3 Department of Operating Room, Faculty of Nursing and Midwifery, Kurdistan University of Medical Sciences, Sanandaj, Iran
4 Department of Surgery, School of Medicine, Kowsar Hospital, Kurdistan University of Medical Sciences, Sanandaj, Iran

Correspondence Address:
Dr. Hassan Moayeri
Department of Surgery, School of Medicine, Kowsar Hospital, Kurdistan University of Medical Sciences, Sanandaj
Iran
Login to access the Email id

Source of Support: None, Conflict of Interest: None


DOI: 10.4103/abr.abr_286_21

Rights and Permissions

Background: Axillary dissection in breast cancer provides useful information on the degree of axillary nodule involvement, which serves as a reliable indicator for the prognosis and staging of breast cancer in patients. The aim of this study was to develop and validate the nomogram model by combining prognostic factors and clinical features to predict the node status of preoperative breast guard positive node cancer. Materials and Methods: Subjects consisted of patients referring to hospitals with the diagnosis of breast cancer. Patients were allowed to substitute molecular subtypes with data on breast cancer diagnosis and prognosis as well as sentinel node status. The bootstrap review was used for internal validation. The predicted performance was evaluated based on the area under the receiver operating characteristic curve. According to the logistic regression analysis, the nomograms reported material strength between predictors and final status reliability. Results: 1172 patients participated in the study, of whom only 539 patients had axillary lymph node involvement. The subtype, family history, calcification, and necrosis were not significantly related to axillary lymph node involvement. Tumor size, histological type, and lymphovascular invasion in multivariate logistic regression were significantly and directly correlated with axillary lymph node involvement. Conclusion: Nomograms, depending on the population, help make decisions to prevent axillary surgery. It seems that the prediction model presented in this study, based on the results of the neuromography, can help surgeons make a more informed decision on underarm surgery. Moreover, in some cases, their surgical program will be informed by accurate medical care and preclusion of major surgeries such as ALND.


[FULL TEXT] [PDF]*
Print this article     Email this article
 Next article
 Previous article
 Table of Contents

 Similar in PUBMED
   Search Pubmed for
   Search in Google Scholar for
 Related articles
 Citation Manager
 Access Statistics
 Reader Comments
 Email Alert *
 Add to My List *
 * Requires registration (Free)
 

 Article Access Statistics
    Viewed726    
    Printed36    
    Emailed0    
    PDF Downloaded102    
    Comments [Add]    

Recommend this journal