Dr Adam Brentnall

Profile

I am a Senior Lecturer in Biostatistics in the Centre for Evaluation and Methods, and fellow of the Digital Environment Research Institute (DERI). I work closely with colleagues in the Centre for Prevention, Detection and Diagnosis. I co-lead a research methods module for MSc programmes at Barts Cancer Institute. I have previously worked on problems in operational research, including in retail finance and aircraft scheduling.

I am currently serving as member of a NICE committee for Ovarian cancer guidelines development on identifying and managing familial and genetic risk. I support several clinical trial steering and data safety monitoring committees as statistician. I am standing member Cancer Research UK's Expert Review Panel on Early Detection & Diagnosis Trials, Behavioural, Health Systems and Health Economics Research.

Research

Research Interests:

My work mainly focuses on cancer prevention and early detection, particularly risk stratification. This includes in the design and analysis of epidemiological, clinical trials and laboratory studies, and in developing statistical methodology driven by these studies. I also collaborate in other healthcare and biomedical science areas, such as in helping to design and analyse research studies. I enjoy learning about new areas and working in multidisciplinary teams.

Publications

Please click through to see a complete list of Adam’s publications

Outstanding publications

• Brentnall AR, Cuzick J. Risk Models for Breast Cancer and Their Validation. Stat Sci. 2020;35(1):14-30. doi:10.1214/19-STS729
• Sasieni P, Brentnall AR. On standardized relative survival. Biometrics. 2017 Jun;73(2):473-482. Epub 2016 Aug 23. PMID: 27554303; PMCID: PMC5507182. doi: 10.1111/biom.12578.
• Brentnall AR, Cuzick J, Buist DSM, Bowles EJA. Long-term Accuracy of Breast Cancer Risk Assessment Combining Classic Risk Factors and Breast Density. JAMA Oncol. 2018;4(9):e180174. doi:10.1001/jamaoncol.2018.0174.
• Brentnall AR, Cuzick J. Use of the concordance index for predictors of censored survival data. Statistical Methods in Medical Research. 2018;27(8):2359-2373. doi.org/10.1177/0962280216680245.
• Brentnall, A.R., Harkness, E.F., Astley, S.M. et al. Mammographic density adds accuracy to both the Tyrer-Cuzick and Gail breast cancer risk models in a prospective UK screening cohort. Breast Cancer Res 17, 147 (2015). doi.org/10.1186/s13058-015-0653-5.

• Cullimore VA, Dean T, Chu K et al. (2026). Comparison of Cervical Screening at 6‐ and 12‐Weeks Postnatal: A Paired‐Sample Feasibility Study. nameOfConference

  
  

  DOI: 10.1111/1471-0528.70234

  
  

  QMRO: qmroHref
• Ahmed HU, Sukumar J, Markham H et al. (2026). A0488 A prospective, paired-cohort, blinded, validation of the Ibex prostate artificial intelligence pathology system compared to expert uro-pathology reporting of prostate biopsies: The cancer histology artificial intelligence reliability study (IP6-CHAIROS). nameOfConference

  
  

  DOI: 10.1016/s0302-2838(26)00542-7

  
  

  QMRO: qmroHref
• Schuster EF, Kleijn IT, Dunne K et al. (2026). Abstract PD2-04: Tumor Heterogeneity in the transATAC Breast Cancer Spatial Single Cell Atlas. nameOfConference

  
  

  DOI: 10.1158/1557-3265.sabcs25-pd2-04

  
  

  QMRO: qmroHref
• Ganesan S, Mansour L, Dibden A et al. (2026). Risk of ovarian cancer in women with a pathogenic or likely pathogenic variant in NBN: a systematic review and meta-analysis. nameOfConference

  
  

  DOI: 10.1016/j.ajog.2026.02.020

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/122572
• Chu K, Vidali S, Parberry A et al. (2026). Evaluation of the Quality and Suitability of Self‐Collected Vaginal and Urine Samples for Human Papillomavirus Testing: A Prospective Matched Study. nameOfConference

  
  

  DOI: 10.1111/1471-0528.70170

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/118282
• Sia J, Lane E, Fierheller C et al. (2026). Estimands for clinical effectiveness of risk reducing early salpingectomy in high risk women from prospective observational studies. nameOfConference

  
  

  DOI: 10.1016/j.ijgc.2025.104036

  
  

  QMRO: qmroHref
• Sia J, Dibden A, Oxley S et al. (2026). Evaluating the clinical effectiveness and potential impact of opportunistic bilateral salpingectomy in 21.8 million UK general population women. nameOfConference

  
  

  DOI: 10.1016/j.ijgc.2025.103144

  
  

  QMRO: qmroHref
• Cullimore VA, Dean T, Chu K et al. (2026). PINCS1: A feasibility study of earlier postnatal cervical screening and self-sampling. nameOfConference

  
  

  DOI: 10.1016/j.ijgc.2025.103245

  
  

  QMRO: qmroHref
• Fierheller CT, Deshmukh P, Kalra A et al. (2026). Protocol for the DETECT-2 randomised controlled trial: a comparison of direct-to-patient versus mainstreaming genetic testing at ovarian, endometrial and colorectal cancer diagnosis. nameOfConference

  
  

  DOI: 10.1016/j.ijgc.2025.104034

  
  

  QMRO: https://qmro.qmul.ac.uk/xmlui/handle/123456789/123935
• Ganesan S, Mansour L, Dibden A et al. (2026). Risk of ovarian cancer in women with a pathogenic or likely pathogenic variant in NBN in 38,337 women: a systematic review and meta-analysis. nameOfConference

  
  

  DOI: 10.1016/j.ijgc.2025.102919

  
  

  QMRO: qmroHref