Purpose We explored the under-debate association between mammographic breast density (MBD) and survival. Methods From the Piedmont Cancer Registry, we identified 693 invasive breast cancer (BC) cases. We analyzed the overall survival in strata of MBD through the Kaplan-Meier method. Using the Cox proportional hazards model, we estimated the hazard ratios (HRs) of death; using the cause-specific hazards regression model, we estimated the HRs of BC-related and other causes of death. Models included term for Breast Imaging-Reporting and Data System (BI-RADS) MBD (categorized as BI-RADS 1 and BI-RADS 2-4) and were adjusted for selected patient and tumour characteristics. Results There were 102 deaths, of which 49 were from BC. After 5 years, the overall survival was 69% in BI-RADS 1 and 88% in BI-RADS 2-4 (p < 0.01). Compared to BI-RADS 2-4, the HRs of death for BI-RADS 1 were 1.65 (95% CI 1.06-2.58) in the crude model and 1.35 (95% CI 0.84-2.16) in the fully adjusted model. Compared to BI-RADS 2-4, the fully adjusted HRs for BI-RADS 1 were 1.52 (95% CI 0.74-3.13) for BC-related death and 1.83 (95% CI 0.84-4.00) for the other causes of death. Conclusion Higher MBD is one of the strongest independent risk factors for BC, but it seems not to have an unfavorable impact on survival.

Mammographic breast density and survival in women with invasive breast cancer / M. Pizzato, G. Carioli, S. Rosso, R. Zanetti, C. La Vecchia. - In: CANCER CAUSES & CONTROL. - ISSN 0957-5243. - 33:9(2022), pp. 1207-1213. [10.1007/s10552-022-01590-x]

Mammographic breast density and survival in women with invasive breast cancer

M. Pizzato
Primo
;
G. Carioli
Secondo
;
C. La Vecchia
Ultimo
2022

Abstract

Purpose We explored the under-debate association between mammographic breast density (MBD) and survival. Methods From the Piedmont Cancer Registry, we identified 693 invasive breast cancer (BC) cases. We analyzed the overall survival in strata of MBD through the Kaplan-Meier method. Using the Cox proportional hazards model, we estimated the hazard ratios (HRs) of death; using the cause-specific hazards regression model, we estimated the HRs of BC-related and other causes of death. Models included term for Breast Imaging-Reporting and Data System (BI-RADS) MBD (categorized as BI-RADS 1 and BI-RADS 2-4) and were adjusted for selected patient and tumour characteristics. Results There were 102 deaths, of which 49 were from BC. After 5 years, the overall survival was 69% in BI-RADS 1 and 88% in BI-RADS 2-4 (p < 0.01). Compared to BI-RADS 2-4, the HRs of death for BI-RADS 1 were 1.65 (95% CI 1.06-2.58) in the crude model and 1.35 (95% CI 0.84-2.16) in the fully adjusted model. Compared to BI-RADS 2-4, the fully adjusted HRs for BI-RADS 1 were 1.52 (95% CI 0.74-3.13) for BC-related death and 1.83 (95% CI 0.84-4.00) for the other causes of death. Conclusion Higher MBD is one of the strongest independent risk factors for BC, but it seems not to have an unfavorable impact on survival.
Invasive breast cancer; Breast density; Survival; Breast cancer prognostic factors; Population-based data
Settore MED/01 - Statistica Medica
Settore MED/06 - Oncologia Medica
Settore MED/42 - Igiene Generale e Applicata
2022
Article (author)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/930976
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