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Updated: Jan 15, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
The Tyrer-Cuzick risk model: Is it effective for all races?
Siya Patil1, Nikki A Mehran1, Joel Erblich2
1Department of Diagnostic, Molecular and Interventional Radiology, Mount Sinai West, New York, NY, United States of America.
The Tyrer-Cuzick 8 (TC8) model predicts breast cancer risk, but its effectiveness varies across racial and ethnic groups. This study highlights potential biases in MRI screening eligibility, particularly for Black and Hispanic patients.
Area of Science:
- Oncology
- Radiology
- Public Health
Background:
- The Tyrer-Cuzick 8 (TC8) risk model is crucial for estimating breast cancer risk and guiding MRI screening eligibility.
- Current evaluations of the TC8 model have not extensively assessed its performance across diverse racial and ethnic populations.
Purpose of the Study:
- To evaluate the predictive accuracy of the TC8 risk model in a diverse urban American population.
- To identify potential disparities in breast cancer risk assessment and MRI screening recommendations among different racial and ethnic groups.
Main Methods:
- A retrospective analysis of 73,435 patients from five urban healthcare sites (2018-2022).
- Calculation of TC8 risk scores stratified by race and ethnicity.
- Statistical analyses to assess the association between TC8 scores, cancer incidence, and demographic factors.
Main Results:
- TC8 scores significantly correlate with increased breast cancer risk (OR=1.02 per percentage point increase).
- White patients had the highest TC8 scores and greatest odds of meeting the 20% MRI screening threshold.
- Black/AA and Hispanic patients were less likely to be diagnosed with cancer and less likely to meet the TC8 threshold, suggesting potential underestimation of risk.
Conclusions:
- While TC8 scores are associated with cancer risk across groups, disparities exist in model performance and threshold attainment.
- The current TC8 threshold of 20% may not be appropriate for all racial and ethnic groups, potentially leading to under-screening of minority populations.
- Potential score bias in the TC8 model could exacerbate racial disparities in breast cancer care, impacting diagnosis, mortality, and morbidity.
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