Open AccessValidation of a Novel Nomogram for Prediction of Local Relapse after Surgery for Invasive Breast Carcinoma
Author(s) -
Giovanni Corso,
Patrick Maisonneuve,
Giulia Massari,
Alessandra Invento,
Gabriella Pravettoni,
Alessandra Margherita De Scalzi,
Mattia Intra,
Viviana Galimberti,
Consuelo Morigi,
Milena Lauretta,
Virgilio Sacchini,
Giulia Veronesi
Publication year - 2020
Publication title -
annals of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.764
H-Index - 173
eISSN - 1534-4681
pISSN - 1068-9265
DOI - 10.1245/s10434-019-08160-7
Subject(s) - nomogram , medicine , mastectomy , breast cancer , breast conserving surgery , oncology , proportional hazards model , retrospective cohort study , surgical oncology , cancer
Around 7% of women who undergo breast-conserving surgery (BCS) or mastectomy are at risk of developing ipsilateral breast tumor recurrence (IBTR). When assessing risks that, like that of IBTR, depend on multiple clinicopathological variables, nomograms are the predictive tools of choice. In this study, two independent nomograms were constructed to estimate the individualized risk of IBTR after breast surgery.