|Table of Contents|

Related factors analysis on breast cancer patients' pathologic complete response after neoadjuvant therapy and establishment of a nomogram prediction model

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2021 04
Page:
590-594
Research Field:
Publishing date:

Info

Title:
Related factors analysis on breast cancer patients' pathologic complete response after neoadjuvant therapy and establishment of a nomogram prediction model
Author(s):
QU Tianyu1; GE Yihan2; ZHAO Yi1
1.Department of Breast Surgery,Shengjing Hospital of China Medical University,Liaoning Shenyang 110000，China;2.Big Data College,Fudan University,Shanghai 200000,China.
Keywords:
neoadjuvant chemotherapy; pathological complete response; nomogram
PACS:
R739.4
DOI:
10.3969/j.issn.1672-4992.2021.04.010
Abstract:
Objective：To establish a comprehensive predictive model of pathologic complete response of breast cancer after neoadjuvant chemotherapy,to evaluate the pathological response after neoadjuvant chemotherapy and to guide the choice of clinical operation.Methods:The clinicpathological and imaging data of 148 patients with breast cancer treated with neoadjuvant chemotherapy from January 2015 to March 2020 were retrospectively analyzed and divided into pCR group and npCR group according to postoperative pathology.Chi-square test was used to analyze the indexes of the two groups,then the indexes of P＜0.05 and the indicators that may be of clinical significance were included in the multivariate Logistic regression analysis.A comprehensive predictive model of pathological remission of breast cancer after neoadjuvant chemotherapy was constructed by multivariate analysis with statistically significant indexes,and the performance of the model was evaluated by ROC curve.Results:Univariate analysis showed that background parenchymal enhancement,longest diameter,pathological classification could predict pathological complete response of breast cancer.Multivariate analysis showed that background enhancement type,longest diameter,pathological classification were independent predictors of pathological complete response after neoadjuvant chemotherapy(P＜0.05).The area under the curve,specificity and sensitivity of the comprehensive predictive model of pathological response of breast cancer after neoadjuvant chemotherapy were 0.769,65.5% and 78.9% respectively.Conclusion:The comprehensive prediction model of pathological complete response of breast cancer after neoadjuvant chemotherapy has a good ability to predict the state of pathological response,and this model can provide a reference for breast cancer patients to choose the mode of operation after neoadjuvant chemotherapy.

References:

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Memo

Memo:
辽宁省自然科学基金指导计划(编号:2019-ZD-0780)
Last Update: 1900-01-01