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...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2024-03-01
|
Series: | Heliyon |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2405844024031037 |
_version_ | 1797259767412948992 |
---|---|
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. |
first_indexed | 2024-03-07T15:46:09Z |
format | Article |
id | doaj.art-13b4e7450e95427aa8487667335a3733 |
institution | Directory Open Access Journal |
issn | 2405-8440 |
language | English |
last_indexed | 2024-04-24T23:14:40Z |
publishDate | 2024-03-01 |
publisher | Elsevier |
record_format | Article |
series | Heliyon |
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 |
work_keys_str_mv | AT zihanyu aprognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT yunlin aprognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT peishanwu aprognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT chaohsienlee aprognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT chenpinchou aprognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT zihanyu prognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT yunlin prognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT peishanwu prognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT chaohsienlee prognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging AT chenpinchou prognosticnomogramforpredictingbreastcancersurvivalbasedonmammographyandajccstaging |