Schoenpflug, Lydia AChatzipli, AikateriniSirinukunwattana, KorsukRichman, SusanBlake, AndrewRobineau, JamesMertz, Kirsten DVerrill, ClareLeedham, Simon JHardy, ClaireWhalley, CelinaRedmond, KearaDunne, PhilipWalker, StevenBeggs, Andrew DMcDermott, UltanMurray, Graeme ISamuel, Leslie MSeymour, MatthewTomlinson, IanQuirke, PhilipS:CORT consortiumRittscher, JensMaughan, TimDomingo, EnricKoelzer, Viktor H2025-01-222025-01-222025-02Schoenpflug, L A, Chatzipli, A, Sirinukunwattana, K, Richman, S, Blake, A, Robineau, J, Mertz, K D, Verrill, C, Leedham, S J, Hardy, C, Whalley, C, Redmond, K, Dunne, P, Walker, S, Beggs, A D, McDermott, U, Murray, G I, Samuel, L M, Seymour, M, Tomlinson, I, Quirke, P, S:CORT consortium, Rittscher, J, Maughan, T, Domingo, E & Koelzer, V H 2025, 'Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysis', The Journal of pathology, vol. 265, no. 2, pp. 184-197. https://doi.org/10.1002/path.63760022-3417RIS: urn:662BBBEC92403715D1E822D7C49938E9ORCID: /0000-0002-8402-8670/work/176747483ORCID: /0000-0003-3981-2420/work/189632009https://hdl.handle.net/2164/24906The authors thank Claire Butler and Michael Youdell for excellent management in S:CORT and the MRC Clinical Trials Unit which provided the clinical data from the FOCUS trial with permission from the FOCUS trial steering group. We would further like to thank Indica Labs for providing the HALO™ software. The results published or shown here are based in part upon data generated by the TCGA Research Network established by the National Cancer Institute and National Human Genome Research Institute. Information about TCGA and the investigators and institutions who constitute the TCGA research network can be found at http://cancergenome.nih.gov. We would especially like to thank all patients who consented to take part in S:CORT and TCGA. The views expressed are those of the author(s) and not necessarily those of the National Health Service, the National Institute for Health and Care Research, or the Department of Health.146057956engSDG 3 - Good Health and Well-beingpathologyartificial intelligencecolorectal cancerdiagnostic molecular pathologypersonalised medicineRC0254 Neoplasms. Tumors. Oncology (including Cancer)RC0254Tumour purity assessment with deep learning in colorectal cancer and impact on molecular analysisJournal article10.1002/path.63762652