Thesis

13 Introduction, aims and outline of the thesis 1 15. Bhoday J, Smith F, Siddiqui MR, et al (2016) Magnetic Resonance Tumor Regression Grade and Residual Mucosal Abnormality as Predictors for Pathological Complete Response in Rectal Cancer Postneoadjuvant Chemoradiotherapy. Dis Colon Rectum 59:925–933. https://doi. org/10.1097/DCR.0000000000000667 16. Lee MA, Cho SH, Seo AN, et al (2017) Modified 3-point mri-based tumor regression grade incorporating DWI for locally advanced rectal cancer. American Journal of Roentgenology 209:1247–1255. https://doi.org/10.2214/AJR.16.17242 17. Lambregts DMJ, Pizzi AD, Lahaye MJ, et al (2018) A pattern-based approach combining tumor morphology on MRI with distinct signal patterns on diffusion-weighted imaging to assess response of rectal tumors after chemoradiotherapy. Dis Colon Rectum 61:328–337. https://doi. org/10.1097/DCR.0000000000000915 18. Santiago I, Barata M, Figueiredo N, et al (2020) The split scar sign as an indicator of sustained complete response after neoadjuvant therapy in rectal cancer. Eur Radiol 30:224–238. https:// doi.org/10.1007/s00330-019-06348-9 19. Bregendahl S, Bondeven P, Grønborg TK, et al (2022) Training of radiology specialists in local staging of primary rectal cancer on MRI: a prospective intervention study exploring the impact of various educational elements on the interpretive performance. BMJ Open Qual 11:. https:// doi.org/10.1136/BMJOQ-2021-001716 20. Sluckin TC, Hazen SMJA, Horsthuis K, et al (2022) Significant improvement after training in the assessment of lateral compartments and short-axis measurements of lateral lymph nodes in rectal cancer. Eur Radiol. https://doi.org/10.1007/S00330-022-08968-0 21. Wang S, Li XT, Zhang XY, et al (2019) MRI evaluation of extramural vascular invasion by inexperienced radiologists. Br J Radiol 92:. https://doi.org/10.1259/BJR.20181055 22. Siddiqui MRS, Gormly KL, Bhoday J, et al (2016) Interobserver agreement of radiologists assessing the response of rectal cancers to preoperative chemoradiation using the MRI tumour regression grading (mrTRG). Clin Radiol 71:854–862. https://doi.org/10.1016/J. CRAD.2016.05.005 23. Marcus DS, Olsen TR, Ramaratnam M, Buckner RL (2007) The extensible neuroimaging archive toolkit: An informatics platform for managing, exploring, and sharing neuroimaging data. Neuroinformatics 5:11–33. https://doi.org/10.1385/NI:5:1:11 24. Ziegler E, Urban T, Brown D, et al (2020) Open Health Imaging Foundation Viewer: An Extensible Open-Source Framework for Building Web-Based Imaging Applications to Support Cancer Research. JCO Clin Cancer Inform 4:336–345

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