A. Brentnall

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Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholds

Jack Cuzick, Elaine F Harkness, Adam R Brentnall, 2018, Breast Cancer Research.

A novel and fully automated mammographic texture analysis for risk prediction: results from two case-control studies

Jack Cuzick, Elaine F Harkness, Adam R Brentnall, 2017, Breast Cancer Research.

Mammographic features of breast cancers at single reading with computer-aided detection and at double reading in a large multicenter prospective trial of computer-aided detection: CADET II.

S. Astley, S. Duffy, M. Wallis, 2010, Radiology.

Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

Kristen S Purrington, Jack A. Taylor, A. Whittemore, 2018, American Journal of Human Genetics.

The integrin αvβ6 drives pancreatic cancer through diverse mechanisms and represents an effective target for therapy

A. Biankin, S. Barry, A. Scarpa, 2019, The Journal of pathology.

A Cost-effectiveness Analysis of Multigene Testing for All Patients With Breast Cancer

J. Cuzick, I. Dos Santos Silva, J. Hopper, 2019, JAMA oncology.

Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort

Susan M. Astley, Elaine F. Harkness, Yit Lim, 2015, Breast Cancer Research.

Therapeutic Targeting of Integrin αvβ6 in Breast Cancer

Rhian Gabe, Andrew R. Green, Ian O. Ellis, 2014, Journal of the National Cancer Institute.

Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta-analysis

Stephen W Duffy, Adam Brentnall, Valentina Assi, 2018, British Journal of Cancer.

A comparison of five methods of measuring mammographic density: a case-control study

Susan M. Astley, Elaine F. Harkness, Yit Lim, 2018, Breast Cancer Research.

Predictive-sequential forecasting system development for cash machine stocking

David J. Hand, Martin Crowder, Adam R. Brentnall, 2010 .

Mammographic density, endocrine therapy and breast cancer risk: a prognostic and predictive biomarker review.

J. Cuzick, A. Brentnall, M. Thorat, 2018, The Cochrane database of systematic reviews.

Credentialing of DNA methylation assays for human genes as diagnostic biomarkers of cervical intraepithelial neoplasia in high-risk HPV positive women

J. Cuzick, A. Brentnall, A. Lorincz, 2014, Gynecologic oncology.

Breast cancer risk in a screening cohort of Asian and white British/Irish women from Manchester UK

S. Astley, J. Cuzick, A. Howell, 2018, BMC Public Health.

Mammographic density change in a cohort of premenopausal women receiving tamoxifen for breast cancer prevention over 5 years

S. Astley, P. Hall, J. Cuzick, 2020, Breast cancer research : BCR.

Genome-wide association study of germline variants and breast cancer-specific mortality

A. Whittemore, W. Willett, S. Cross, 2019, British Journal of Cancer.

Breast-Cancer Tumor Size and Screening Effectiveness.

S. Duffy, J. Cuzick, A. Brentnall, 2017, New England Journal of Medicine.

Competing Risks for a Diagnosis of Invasive Breast Cancer-Reply.

J. Cuzick, D. Buist, A. Brentnall, 2019, JAMA oncology.

16/18 genotyping in triage of persistent human papillomavirus infections with negative cytology in the English cervical screening pilot

H. Kitchener, A. Brentnall, A. Sargent, 2019, British Journal of Cancer.

On standardized relative survival

P. Sasieni, A. Brentnall, 2016, Biometrics.

Strategy for power calculation for interactions: application to a trial of interventions to improve uptake of bowel cancer screening.

S. Duffy, G. Baio, A. Brentnall, 2012, Contemporary clinical trials.

A Cost-effectiveness Analysis of Multigene Testing for All Patients With Breast Cancer

J. Cuzick, I. Dos Santos Silva, J. Hopper, 2019, JAMA Oncology.

EMBASE search filter

Susan M. Astley, D. Gareth Evans, Katherine Payne, 2016 .

Genome-wide association study of germline variants and breast cancer-speci ﬁ c mortality

A. Whittemore, M. Beckmann, A. Talhouk, 2019 .

A DNA methylation classifier of cervical precancer based on human papillomavirus and human genes

J. Cuzick, A. Brentnall, A. Szarewski, 2014, International journal of cancer.

The impact of a panel of 18 SNPs on breast cancer risk in women attending a UK familial screening clinic: a case–control study

J. Cuzick, A. Howell, D. Evans, 2016, Journal of Medical Genetics.

SNPs for breast cancer risk assessment

J. Cuzick, M. Dowsett, A. Brentnall, 2017, Oncotarget.

Using ISARIC 4C mortality score to predict dynamic changes in mortality risk in COVID-19 patients during hospital admission

J. Myles, A. Brentnall, T. Crocker-Buque, 2022, PloS one.

AMS2010: Asia Modelling Symposium 2010 - 4th International Conference on Mathematical Modelling and Computer Simulation: Welcome message from the chairs

Jasmy Yunus, Ajith Abraham, Zuwairie Ibrahim, 2010 .

Supporting the implementation of new healthcare technologies by investigating generalisability of pilot studies using area-level statistics

A. Brentnall, M. Rebolj, C. Mathews, 2022, BMC Health Services Research.

What are the benefits and harms of risk stratified screening as part of the NHS breast screening Programme? Study protocol for a multi-site non-randomised comparison of BC-predict versus usual screening (NCT04359420)

S. Astley, S. Duffy, J. Cuzick, 2020, BMC Cancer.

Genome-wide association study of germline variants and breast cancer-specific mortality

A. Whittemore, W. Willett, S. Cross, 2019, British Journal of Cancer.

Calculating, Using and Improving Individual Breast Cancer Risk Estimates

S. Duffy, A. Brentnall, 2020 .

A Case-Control Study to Add Volumetric or Clinical Mammographic Density into the Tyrer-Cuzick Breast Cancer Risk Model

W. Knaus, M. Yaffe, J. Cuzick, 2019, Journal of breast imaging.

Relationship of ZNF423 and CTSO with breast cancer risk in two randomised tamoxifen prevention trials

J. Cuzick, A. Howell, T. Powles, 2016, Breast Cancer Research and Treatment.

Breast cancer risk stratification in women of screening age: Incremental effects of adding mammographic density, polygenic risk, and a gene panel.

S. Astley, J. Cuzick, A. Howell, 2022, Genetics in medicine : official journal of the American College of Medical Genetics.

Improvement in risk prediction, early detection and prevention of breast cancer in the NHS Breast Screening Programme and family history clinics: a dual cohort study

Susan M. Astley, Elaine F. Harkness, Katherine Payne, 2016 .

C‐Met in invasive breast cancer

I. Ellis, A. Green, E. Rakha, 2014, Cancer.

Absolute Quantitation of DNA Methylation of 28 Candidate Genes in Prostate Cancer Using Pyrosequencing

J. Cuzick, D. Berney, Keqiang Wu, 2011, Disease markers.

Clinical and functional significance of α9β1 integrin expression in breast cancer: a novel cell‐surface marker of the basal phenotype that promotes tumour cell invasion

C. Chelala, A. Brentnall, S. Dreger, 2011, The Journal of pathology.

A case–control evaluation of 143 single nucleotide polymorphisms for breast cancer risk stratification with classical factors and mammographic density

S. Astley, J. Cuzick, A. Howell, 2019, International journal of cancer.

Use of Single-Nucleotide Polymorphisms and Mammographic Density Plus Classic Risk Factors for Breast Cancer Risk Prediction

S. Astley, J. Cuzick, A. Howell, 2018, JAMA oncology.

Impact of a Panel of 88 Single Nucleotide Polymorphisms on the Risk of Breast Cancer in High-Risk Women: Results From Two Randomized Tamoxifen Prevention Trials

Jack Cuzick, Adam R. Brentnall, Ivana Sestak, 2016, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

Breast cancer risk assessment in 8,824 women attending a family history evaluation and screening programme

A. Howell, A. Brentnall, F. Lalloo, 2013, Familial Cancer.

HPV16 L1 and L2 DNA methylation predicts high-grade cervical intraepithelial neoplasia in women with mildly abnormal cervical cytology

J. Cuzick, A. Fiander, P. Sasieni, 2013, International journal of cancer.

Economic Evaluation of Population-Based BRCA1/BRCA2 Mutation Testing across Multiple Countries and Health Systems

J. Berkhof, J. Hopper, R. Legood, 2020, Cancers.

Prediction of reader estimates of mammographic density using convolutional neural networks

Michael Berks, Susan M Astley, Johan Hulleman, 2019, Journal of medical imaging.

Using a convolutional neural network to predict readers' estimates of mammographic density for breast cancer risk assessment

Susan M. Astley, Elaine F. Harkness, D. Gareth Evans, 2018, Other Conferences.

Integrin αvβ6-specific therapy for pancreatic cancer developed from foot-and-mouth-disease virus

J. Hartley, A. Brentnall, J. Marshall, 2020, Theranostics.

Mammographic breast density refines Tyrer-Cuzick estimates of breast cancer risk in high-risk women: findings from the placebo arm of the International Breast Cancer Intervention Study I

Stephen W Duffy, Jack Cuzick, Jane Warwick, 2014, Breast Cancer Research.

External validation of a mammographic texture marker for breast cancer risk in a case–control study

Jack Cuzick, Jennifer A Harvey, Chao Wang, 2020, Journal of medical imaging.

Errors in determination of net survival: cause-specific and relative survival settings

S. Duffy, P. Sasieni, A. Brentnall, 2020, British Journal of Cancer.

Effective methylation triage of HPV positive women with abnormal cytology in a middle‐income country

J. Cuzick, B. Nedjai, A. Brentnall, 2020, International journal of cancer.

Evaluation of a validated methylation triage signature for human papillomavirus positive women in the HPV FOCAL cervical cancer screening trial

J. Cuzick, A. Brentnall, Lovedeep Gondara, 2018, International journal of cancer.

HPV33 DNA methylation measurement improves cervical pre-cancer risk estimation of an HPV16, HPV18, HPV31 and \textit{EPB41L3} methylation classifier.

J. Cuzick, A. Brentnall, A. Lorincz, 2015, Cancer biomarkers : section A of Disease markers.

Breast cancer pathology and stage are better predicted by risk stratification models that include mammographic density and common genetic variants

S. Astley, J. Cuzick, A. Howell, 2019, Breast Cancer Research and Treatment.

RAZOR: A Phase II Open Randomized Trial of Screening Plus Goserelin and Raloxifene Versus Screening Alone in Premenopausal Women at Increased Risk of Breast Cancer

J. Cuzick, A. Howell, M. Dowsett, 2017, Cancer Epidemiology, Biomarkers & Prevention.

Young adulthood body mass index, adult weight gain and breast cancer risk: the PROCAS Study (United Kingdom)

S. Astley, J. Cuzick, A. Howell, 2020, British Journal of Cancer.

Risk Models for Breast Cancer and Their Validation

Jack Cuzick, Adam R Brentnall, J. Cuzick, 2019, Statistical science : a review journal of the Institute of Mathematical Statistics.

Use of the concordance index for predictors of censored survival data

Jack Cuzick, Adam R Brentnall, J. Cuzick, 2016, Statistical methods in medical research.

Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density

Jack Cuzick, Diana S. M. Buist, Adam R. Brentnall, 2018, JAMA oncology.

Mammographic density, endocrine therapy and breast cancer risk: a prognostic and predictive biomarker review.

J. Cuzick, A. Brentnall, M. Thorat, 2021, The Cochrane database of systematic reviews.

The Relationship between Body Mass Index and Mammographic Density during a Premenopausal Weight Loss Intervention Study

S. Astley, J. Cuzick, A. Howell, 2021, Cancers.

Is Breast Cancer Risk Associated with Menopausal Hormone Therapy Modified by Current or Early Adulthood BMI or Age of First Pregnancy?

A. Howell, D. Evans, A. Brentnall, 2021, Cancers.

Variability Among Breast Cancer Risk Classification Models When Applied at the Level of the Individual Woman

Christoph I. Lee, J. Elmore, William Hsu, 2023, Journal of General Internal Medicine.

Errors in determination of net survival: cause-specific and relative survival settings

S. Duffy, P. Sasieni, A. Brentnall, 2020, British Journal of Cancer.

The importance of ethnicity: Are breast cancer polygenic risk scores ready for women who are not of White European origin?

J. Cuzick, A. Howell, D. Evans, 2021, International Journal of Cancer.

Impact of Multiple COVID-19 Waves on Gynaecological Cancer Services in the UK

S. Dobbs, R. Legood, S. Kehoe, 2023, Cancers.

Novel 18-gene signature for predicting relapse in ER-positive, HER2-negative breast cancer

Jack Cuzick, Richard Buus, Ivana Sestak, 2018, Breast Cancer Research.

Obesity at age 20 and weight gain during adulthood increase risk of total and premature all-cause mortality: findings from women attending breast screening in Manchester

J. Cuzick, A. Howell, A. Brentnall, 2023, BMC Women's Health.

Quantifying the effects of risk-stratified breast cancer screening when delivered in real time as routine practice versus usual screening: the BC-Predict non-randomised controlled study (NCT04359420)

S. Astley, J. Cuzick, A. Howell, 2023, British Journal of Cancer.

Approximate repeated-measures shrinkage

David J. Hand, Martin Crowder, Adam R. Brentnall, 2011, Comput. Stat. Data Anal..

Addition of ultrasound to mammography in the case of dense breast tissue: systematic review and meta-analysis

S. Duffy, A. Brentnall, M. Rebolj, 2018, British Journal of Cancer.

The impact of using weight estimated from mammographic images vs. self-reported weight on breast cancer risk calculation

Susan M. Astley, Elaine F. Harkness, Anthony Howell, 2017, Medical Imaging.

Validation of a DNA methylation HPV triage classifier in a screening sample

J. Cuzick, A. Brentnall, A. Lorincz, 2016, International journal of cancer.

A comparison of methylation levels in HPV18, HPV31 and HPV33 genomes reveals similar associations with cervical precancers☆

J. Cuzick, A. Brentnall, A. Lorincz, 2014, Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology.

A case‐control study to assess the impact of mammographic density on breast cancer risk in women aged 40–49 at intermediate familial risk

S. Duffy, J. Warwick, R. Warren, 2015, International journal of cancer.

Dynamic data-enabled stratified sampling for trial invitations with application in NHS-Galleri.

P. Sasieni, A. Brentnall, M. Sleeth, 2023, Clinical Trials.

Final Results of the Prospective FH02 Mammographic Surveillance Study of Women Aged 35–39 at Increased Familial Risk of Breast Cancer

A. Howell, M. Wallis, D. Eccles, 2019, EClinicalMedicine.

Breast Cancer Risk in Young Women in the National Breast Screening Programme: Implications for Applying NICE Guidelines for Additional Screening and Chemoprevention

J. Ainsworth, I. Buchan, S. Astley, 2014, Cancer Prevention Research.

Breast cancer risk feedback to women in the UK NHS breast screening population

I. Buchan, S. Astley, J. Cuzick, 2016, British Journal of Cancer.

A concordance index for matched case–control studies with applications in cancer risk

Stephen W Duffy, Jack Cuzick, Adam R Brentnall, 2015, Statistics in medicine.

What are the benefits and harms of risk stratified screening as part of the NHS breast screening Programme? Study protocol for a multi-site non-randomised comparison of BC-predict versus usual screening (NCT04359420)

S. Astley, S. Duffy, J. Cuzick, 2020, BMC Cancer.

Breast cancer risk assessment in 8,824 women attending a family history evaluation and screening programme

A. Howell, D. Evans, A. Brentnall, 2014, Familial Cancer.

Exploring the prediction performance for breast cancer risk based on volumetric mammographic density at different thresholds

S. Astley, J. Cuzick, D. Evans, 2018, Breast Cancer Research.

Estimating efficacy in trials with selective crossover

J. Cuzick, P. Sasieni, A. Brentnall, 2017, Statistics in medicine.

Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort

S. Astley, J. Cuzick, A. Howell, 2015, Breast Cancer Research.

Commentary on Terry et al., 10-Year Performance of Four Models of Breast Cancer Risk: A Validation Study. Lancet Oncol. 2019;20(4):504-17

J. Cuzick, A. Brentnall, 2019, Med One.

Distribution of breast cancer risk from SNPs and classical risk factors in women of routine screening age in the UK

J. Cuzick, D. Evans, A. Brentnall, 2014, British Journal of Cancer.

Quality of life after risk-reducing surgery for breast and ovarian cancer prevention: a systematic review and meta-analysis.

R. Legood, A. Brentnall, Li Yang, 2023, American journal of obstetrics and gynecology.

Role of quantitative p16INK4A mRNA assay and digital reading of p16INK4A immunostained sections in diagnosis of cervical intraepithelial neoplasia

J. Cuzick, A. Brentnall, A. Lorincz, 2017, International journal of cancer.

Role of quantitative p 16 ( INK 4 A ) mRNA assay and digital reading of p 16 ( INK 4 A ) immunostained sections in diagnosis of cervical intraepithelial

J. Cuzick, A. Brentnall, A. Lorincz, 2018 .

Safety and efficacy of artesunate treatment in severely injured patients with traumatic hemorrhage. The TOP-ART randomized clinical trial

C. Thiemermann, A. Brentnall, J. Tarning, 2023, Intensive Care Medicine.

Value of Phenotypic and Single-Nucleotide Polymorphism Panel Markers in Predicting the Risk of Breast Cancer

J. Cuzick, A. Brentnall, D. Evans, 2013 .

Use of a SNP panel to refine risk estimates in women at high risk of breast cancer: Results from two randomized tamoxifen prevention trials.

J. Cuzick, A. Howell, T. Powles, 2014 .

Polygenic Risk Scores for Prediction of Breast Cancer and Breast Cancer Subtypes

Kristen S Purrington, Jack A. Taylor, A. Whittemore, 2018, American Journal of Human Genetics.

Genome-wide association study of germline variants and breast cancer-specific mortality

A. Whittemore, W. Willett, S. Cross, 2019, British Journal of Cancer.

Breast cancer risk stratification in women of screening age: Incremental effects of adding mammographic density, polygenic risk, and a gene panel.

S. Astley, J. Cuzick, A. Howell, 2022, Genetics in medicine : official journal of the American College of Medical Genetics.

Abstract PD1-07: Mammographic density and SNPs add to Tyrer-Cuzick and Gail model breast cancer risk in a UK screening cohort

S. Astley, J. Cuzick, A. Howell, 2016 .

Some effects of aircraft arrival sequence algorithms

Russell C. H. Cheng, A. R. Brentnall, R. Cheng, 2009, J. Oper. Res. Soc..

Realisation of mammography screening in Khanty-Mansiysk Autonomous State – Yugra

A. Brentnall, Ju. A. Belaya, N. A. Zakharova, 2021, Tumors of female reproductive system.

Mammographic features of breast cancers at single reading with computer-aided detection and at double reading in a large multicenter prospective trial of computer-aided detection: CADET II.

S. Astley, S. Duffy, M. Wallis, 2010, Radiology.

A method for exploratory repeated-measures analysis applied to a breast-cancer screening study

Susan M. Astley, Caroline R. M. Boggis, Fiona J. Gilbert, 2011, 1202.6133.

Evaluation of an AI Model to Assess Future Breast Cancer Risk.

J. Cuzick, A. Brentnall, Grigorios Kalliatakis, 2023, Radiology.

RAZOR: A Phase II Open Randomized Trial of Screening Plus Goserelin and Raloxifene Versus Screening Alone in Premenopausal Women at Increased Risk of Breast Cancer

J. Cuzick, A. Howell, M. Dowsett, 2017, Cancer Epidemiology, Biomarkers & Prevention.

A comparison of methylation levels in HPV18, HPV31 and HPV33 genomes reveals similar associations with cervical precancers

J. Cuzick, A. Brentnall, A. Lorincz, 2014, Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology.

The Barts Health NHS Trust COVID-19 cohort: characteristics, outcomes and risk scoring of patients in East London.

M. Caulfield, R. Pearse, P. Pfeffer, 2021, The international journal of tuberculosis and lung disease : the official journal of the International Union against Tuberculosis and Lung Disease.