Evidence map›Paper›PMID 41086465›Full record

ArticleClinical imaging2025

The Tyrer-Cuzick risk model: Is it effective for all races?

Siya Patil, Nikki A Mehran, Joel Erblich, Guy H Montgomery, Julie B Schnur, Laurie R Margolies

Abstract read
In one paragraph

Article in Clinical imaging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Siya PatilDepartment of Diagnostic, Molecular and Interventional Radiology, Mount Sinai West, New York, NY, United States of America. Electronic address: patils20@mskcc.org.
Nikki A MehranDepartment of Diagnostic, Molecular and Interventional Radiology, Mount Sinai West, New York, NY, United States of America.
Joel ErblichCenter for Behavioral Oncology, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Guy H MontgomeryCenter for Behavioral Oncology, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Julie B SchnurCenter for Behavioral Oncology, Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.
Laurie R MargoliesDepartment of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America.

Funding

TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221705 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI Yin Tan · 2018 to 2026
$16.3M
TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221704 · NCI · HUNTER COLLEGE · PI Konstantinos Krampis · 2018 to 2026
$10.6M
Enhancing the public health benefits of mammography screening by informing women of both breast cancer and breast arterial calcification results: A randomized trial to promote cardiovascular healthR01CA251754 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI MONTGOMERY, GUY H · 2021 to 2025
$3.4M
Training Cancer Care Providers to Implement Sensitive Practice Guidelines When Treating Adult Survivors of Sexual Violence: A Blended Learning ApproachR25CA236636 · NCI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Julie B. Schnur · 2019 to 2026
$1.4M
NCI NIH HHS R01 CA251754NCI NIH HHS R25 CA236636NCI NIH HHS U54 CA221704NCI NIH HHS U54 CA221705
6 · The paper itself

Abstract

backgroundThe IBIS/Tyrer-Cuzick [version 8 (TC8)] risk model is widely used to estimate breast cancer risk, and to inform the allocation of magnetic resonance imaging (MRI) screening for high-risk breast patients. No study to date has evaluated the latest TC model in diverse populations.

objectiveTo assess the predictive value of the TC8 Risk Model across diverse racial and ethnic groups in an urban American population.

methodsRetrospective data analysis from five sites within a single urban health care system from January 1, 2018-November 1, 2022. The sample included 73,435 patients; 639 had a history of breast cancer. Average TC risk scores were calculated by racial and ethnic groups for the overall sample, and then for those with a history of breast cancer. Analyses were conducted to evaluate relationships between TC8 risk scores, cancer rates, ethnicity and race.

resultsAs expected, analyses revealed that TC8 scores were significantly associated with increased risk of cancer, with each percentage point increase in TC8 score the odds of cancer caseness increased by 2 %; (OR = 1.02, 95 % CI [1.01, 1.03]). Black/AA patients were less likely to be diagnosed with cancer than Whites; OR = 0.72, 95 % CI [0.59, 0.89]. Hispanic patients were less likely to be diagnosed with cancer than Non-Hispanic patients; OR = 0.49, 95 % CI [0.39, 0.61]. White patients had the highest TC8 scores, followed by Asian, Black/AA, and Other patients. Among cancer patients, White patients had higher TC8 scores than Black/AA patients (p < 0.02). Interestingly, we also found a stronger effect of TC8 scores on cancer caseness among Hispanic patients than Non-Hispanic patients [χ

conclusionA higher TC8 risk score is significantly associated with increased odds of cancer across demographic groups. White patients exhibited the highest TC8 scores, and White patients have the highest odds of reaching the TC8 threshold for qualifying for breast MRI, while the relationship between TC8 scores and caseness was highest for Hispanic patients.Among cancer patients, Black/AA patients continued to have lower TC8 scores, raising the question of whether the cut-off of TC8 = 20 is appropriate for all groups. CLINICAL IMPACT: TC8 scores guide decisions for MRI screening, but the predictive value of the TC8n score may differ based on ethnicity. Furthermore, due to potential score bias, Black and other minority patients may receive fewer breast MRIs than their White counterparts. Such potential bias could potentially contribute to racial disparities in breast cancer care including delayed diagnosis, or increased mortality and morbidity.

Indexed as

Breast NeoplasmsMagnetic Resonance ImagingAdultAgedEthnicityFemaleHumansMiddle AgedRacial GroupsRetrospective StudiesRisk AssessmentUnited States

Identifiers

PMID41086465
PMCPMC13289724

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.