OpiCalc Logo

OpiCalc

935 Clinical Tools

Logo
OpiCalc
ACMG/AMP Variant ClassifierAmsterdam Criteria IICYP2C19 Phenotype InterpreterDLCN Score (FH)GJB2 Variant InterpreterGhent-2 Criteria (Marfan)HTT CAG Repeat (Huntington)Hereditary Thrombophilia VTE RiskRevised Bethesda GuidelinesSchwartz Score (LQTS)Tyrer-Cuzick Breast Risk
OpiCalc Logo

OpiCalc

Open-access clinical infrastructure. Built to the standard every clinician deserves — fast, private, and free.

Zero data stored
Always free
Our mission & transparency

Get in Touch

Tool request, clinical feedback, or partnership inquiry — we read everything.

WhatsApp feedback
Email us
Partnership inquiry

© 2026 OpiCalc • Calculated Care

MissionPrivacyTerms

Tyrer-Cuzick Breast Risk

Simplified Estimation Only

For full clinical IBIS Tyrer-Cuzick calculation, use ibis-risk-calculator.magview.com. This module provides a risk category approximation based on key variables.

Tyrer-Cuzick (IBIS) Breast Cancer Risk

Multifactorial breast cancer risk model integrating family history, hormonal factors, BRCA probability, ADH/LCIS, and density. Endorsed by NICE NG101, ACMG, NCCN.

1st-Degree Relatives with Breast Cancer

2nd-Degree Relatives with Breast Cancer

BRCA Status

Atypical Ductal Hyperplasia (ADH) or ALH on Biopsy?

LCIS (Lobular Carcinoma In Situ)?

Mammographic Density (BI-RADS)

Ashkenazi Jewish Ancestry?

Guidelines & Evidence

Clinical Details

Section 1

When to Use

When to Use

Estimating 10-year and lifetime risk of breast cancer for surveillance and chemoprevention decisions.
Identifying women who should be offered enhanced surveillance (annual MRI) beyond standard mammography.
Triaging candidates for BRCA1/2 and expanded hereditary breast cancer gene panel testing.
Endorsed by NICE (UK), ACMG, NCCN, and ASBrS as a comprehensive multifactorial risk model.

What Makes IBIS Different

Tyrer-Cuzick is the most comprehensive individual risk model — integrating family history (both sides), hormonal factors, BRCA carrier probability, density, and atypical hyperplasia in a single Bayesian framework. It consistently outperforms Gail model for women with strong family history.
Section 2

Formula & Logic

Input Variables

Current age; menopausal status; age at menarche; age at first live birth
HRT use; OCP use; current BMI (post-menopausal women)
Maternal AND paternal family history (age at diagnosis, type of cancer, bilateral vs unilateral)
Personal history of LCIS, ADH, ALH (atypical hyperplasia — major risk multiplier)
Ashkenazi Jewish ancestry (BRCA prior)
Known BRCA1/2 status (if tested)
Mammographic breast density (BI-RADS / Volpara)

Risk Output and Thresholds

10-Year RiskCategorySurveillance Recommendation (NICE NG101)
< 3%Population (average) riskNHS screening programme (mammography from 50)
3–8%Moderate riskAnnual mammography from 40; discuss chemoprevention (tamoxifen/raloxifene)
> 8% OR Lifetime > 30%High riskAnnual MRI + mammography from 30–40; BRCA testing; chemoprevention
Lifetime > 60% OR BRCA ≥ 30% probabilityVery High / BRCA-equivalent riskRisk-reducing surgery discussion; intensive MRI surveillance
Section 3

Pearls/Pitfalls

Key Pearls

Atypical hyperplasia (ADH/ALH) is a ~4× risk multiplier — amplified further by family history. Women with both features are at very high risk.
IBIS version 8 incorporates SNP polygenic risk score option — not yet standard in most clinical workflows.
Output includes estimated BRCA1 and BRCA2 carrier probability — use this to guide genetic testing decisions.
IBIS tool does NOT account for endogenous oestrogen level — for post-menopausal women on aromatase inhibitors, risk may be further modified.
Section 4

Next Steps

Clinical Actions

01
Moderate risk (3–8%): Annual mammography from 40; pharmacological chemoprevention discussion (tamoxifen 5yr for pre-menopausal; raloxifene/anastrozole for post-menopausal).
02
High risk (> 8% or lifetime > 30%): Annual MRI + mammography protocol starting age 30–40; refer to genetics clinic; BRCA panel testing.
03
Very high risk / BRCA-equivalent: Multidisciplinary discussion for risk-reducing mastectomy vs surveillance; BSO consideration for ovarian risk.
04
All risk levels: Lifestyle counselling (weight, alcohol, exercise); optimise HRT duration and form.
Section 5

Evidence Appraisal

Primary Reference

A breast cancer prediction model incorporating familial and personal risk factors

Tyrer J et al. • Statistics in Medicine. 2004;23(7): 1111–1130

Section 6

Literature

Development

Developed by Jonathan Tyrer and Jack Cuzick at the International Agency for Research on Cancer (IARC) and Queen Mary University of London, published in Statistics in Medicine in 2004. The model was designed specifically to overcome the limitations of the Gail model in women with significant family history, incorporating BRCA carrier probability as a latent variable in a Bayesian framework.

IBIS (International Breast Cancer Intervention Study) Tool

The Tyrer-Cuzick model is implemented as the IBIS Breast Cancer Risk Evaluation Tool, available freely online and integrated into clinical risk assessment pathways. It was validated in multiple prospective cohorts including the Prospective Family Study Cohort (ProF-SC) and consistently demonstrates superior calibration to Gail in high-risk populations. NICE NG101 in the UK mandates its use for risk stratification in familial breast cancer clinics.

Last Comprehensive Review: 2026

Related Medical Genetics Tools

DLCN Score
Amsterdam Criteria II
Revised Bethesda Guidelines
Schwartz Score
Ghent-2 Criteria
CYP2C19 Phenotype Interpreter
ACMG/AMP Variant Classifier
HTT CAG Repeat
GJB2 Variant Interpreter
Hereditary Thrombophilia VTE Risk
Have feedback about this calculator?Let us know.