A prognostic nomogram for predicting breast cancer survival based on mammography and AJCC staging

Rationale and objectives: To develop a prognostic nomogram using mammography data and AJCC staging to predict breast cancer survival. Materials and methods: A prognostic nomogram was created using data from 1000 women diagnosed with breast cancer at a medical cancer center in Taiwan between 2011 and...

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Main Authors: Zi-Han Yu, Yun Lin, Pei-Shan Wu, Chao-Hsien Lee, Chen-Pin Chou
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Heliyon
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844024031037
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author Zi-Han Yu
Yun Lin
Pei-Shan Wu
Chao-Hsien Lee
Chen-Pin Chou
author_facet Zi-Han Yu
Yun Lin
Pei-Shan Wu
Chao-Hsien Lee
Chen-Pin Chou
author_sort Zi-Han Yu
collection DOAJ
description Rationale and objectives: To develop a prognostic nomogram using mammography data and AJCC staging to predict breast cancer survival. Materials and methods: A prognostic nomogram was created using data from 1000 women diagnosed with breast cancer at a medical cancer center in Taiwan between 2011 and 2015. The variables included age at diagnosis (≤60 or > 60 years), mammography purpose (screening or diagnostic), mammography modality (digital mammogram or digital breast tomosynthesis), and the 7th American Joint Committee on Cancer (AJCC) stage. The outcome predicted was breast cancer-related mortality. The nomogram utilized Kaplan-Meier analysis for all subsets and Cox proportional hazards regression analysis for prediction. The nomogram's accuracy was internally validated using the concordance index and receiver operating characteristic (ROC) curve analysis, focusing on 3-year and 5-year survival predictions. Results: Participants' mean age at breast cancer diagnosis was 54 years (SD = 11.2 years). The 1-year, 3-year, and 5-year overall survival (OS) rates were found to be 99.7%, 95.3%, and 91.4%, respectively. The bootstrap-corrected concordance indices indicated the following: nomogram, 0.807 and AJCC, 0.759. A significant difference was observed between the nomogram's area under the curve (AUC) and the AJCC stage in predicting the probability of 5-year survival (p = 0.005). A nomogram, constructed based on mammography and AJCC, demonstrated excellent calibration through internal validation using bootstrapping. Conclusion: The utilization of a nomogram that incorporates mammography data and the AJCC registry data has been demonstrated to be a reliable predictor of breast cancer survival.
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spelling doaj.art-13b4e7450e95427aa8487667335a37332024-03-17T07:57:15ZengElsevierHeliyon2405-84402024-03-01105e27072A prognostic nomogram for predicting breast cancer survival based on mammography and AJCC stagingZi-Han Yu0Yun Lin1Pei-Shan Wu2Chao-Hsien Lee3Chen-Pin Chou4Department of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Department of Radiology, Jiannren Hospital, Kaohsiung, TaiwanDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, TaiwanDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, TaiwanDepartment of Nursing, Meiho University, Pingtung, TaiwanDepartment of Radiology, Kaohsiung Veterans General Hospital, Kaohsiung, Taiwan; Department of Medical Laboratory Science and Biotechnology, Fooyin University, Kaohsiung, Taiwan; Department of Pharmacy, College of Pharmacy, Tajen University, Pingtung, Taiwan; Corresponding author. Radiology Department of Kaohsiung Veterans General Hospital, 386 Ta-Chung 1st Rd., Kaohsiung City, 813, Taiwan.Rationale and objectives: To develop a prognostic nomogram using mammography data and AJCC staging to predict breast cancer survival. Materials and methods: A prognostic nomogram was created using data from 1000 women diagnosed with breast cancer at a medical cancer center in Taiwan between 2011 and 2015. The variables included age at diagnosis (≤60 or > 60 years), mammography purpose (screening or diagnostic), mammography modality (digital mammogram or digital breast tomosynthesis), and the 7th American Joint Committee on Cancer (AJCC) stage. The outcome predicted was breast cancer-related mortality. The nomogram utilized Kaplan-Meier analysis for all subsets and Cox proportional hazards regression analysis for prediction. The nomogram's accuracy was internally validated using the concordance index and receiver operating characteristic (ROC) curve analysis, focusing on 3-year and 5-year survival predictions. Results: Participants' mean age at breast cancer diagnosis was 54 years (SD = 11.2 years). The 1-year, 3-year, and 5-year overall survival (OS) rates were found to be 99.7%, 95.3%, and 91.4%, respectively. The bootstrap-corrected concordance indices indicated the following: nomogram, 0.807 and AJCC, 0.759. A significant difference was observed between the nomogram's area under the curve (AUC) and the AJCC stage in predicting the probability of 5-year survival (p = 0.005). A nomogram, constructed based on mammography and AJCC, demonstrated excellent calibration through internal validation using bootstrapping. Conclusion: The utilization of a nomogram that incorporates mammography data and the AJCC registry data has been demonstrated to be a reliable predictor of breast cancer survival.http://www.sciencedirect.com/science/article/pii/S2405844024031037Breast cancerBreast cancer survivalMammographyAJCC stagingNomogram
spellingShingle Zi-Han Yu
Yun Lin
Pei-Shan Wu
Chao-Hsien Lee
Chen-Pin Chou
A prognostic nomogram for predicting breast cancer survival based on mammography and AJCC staging
Heliyon
Breast cancer
Breast cancer survival
Mammography
AJCC staging
Nomogram
title A prognostic nomogram for predicting breast cancer survival based on mammography and AJCC staging
title_full A prognostic nomogram for predicting breast cancer survival based on mammography and AJCC staging
title_fullStr A prognostic nomogram for predicting breast cancer survival based on mammography and AJCC staging
title_full_unstemmed A prognostic nomogram for predicting breast cancer survival based on mammography and AJCC staging
title_short A prognostic nomogram for predicting breast cancer survival based on mammography and AJCC staging
title_sort prognostic nomogram for predicting breast cancer survival based on mammography and ajcc staging
topic Breast cancer
Breast cancer survival
Mammography
AJCC staging
Nomogram
url http://www.sciencedirect.com/science/article/pii/S2405844024031037
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