Thesis

149 General Discussion 8 32. van Griethuysen JJM, Lambregts DMJ, Trebeschi S, et al (2020) Radiomics performs comparable to morphologic assessment by expert radiologists for prediction of response to neoadjuvant chemoradiotherapy on baseline staging MRI in rectal cancer. Abdominal Radiology 45:632– 643. https://doi.org/10.1007/s00261-019-02321-8 33. Miranda J, Tan GXV, Fernandes MC, et al (2022) Rectal MRI radiomics for predicting pathological complete response: Where we are. Clin Imaging 82:141–149. https://doi.org/10.1016/J. CLINIMAG.2021.10.005 34. Meng Y, Zhang Y, Dong D, et al (2018) Novel radiomic signature as a prognostic biomarker for locally advanced rectal cancer. Journal of Magnetic Resonance Imaging 48:605–614. https:// doi.org/10.1002/JMRI.25968 35. Petkovska I, Tixier F, Ortiz EJ, et al (2020) Clinical utility of radiomics at baseline rectal MRI to predict complete response of rectal cancer after chemoradiation therapy. Abdominal Radiology 45:3608–3617. https://doi.org/10.1007/S00261-020-02502-W/FIGURES/4 36. Cui Y, Yang X, Shi Z, et al (2019) Radiomics analysis of multiparametric MRI for prediction of pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer. Eur Radiol 29:1211–1220. https://doi.org/10.1007/S00330-018-5683-9/FIGURES/6 37. Smolskas E, Mikulskytė G, Sileika E, et al (2022) Tissue-Based Markers as a Tool to Assess Response to Neoadjuvant Radiotherapy in Rectal Cancer-Systematic Review. Int J Mol Sci 23:6040. https://doi.org/10.3390/IJMS23116040 38. Lee HH, Chen CH, Huang YH, et al (2022) Biomarkers of Favorable vs. Unfavorable Responses in Locally Advanced Rectal Cancer Patients Receiving Neoadjuvant Concurrent Chemoradiotherapy. Cells 11:. https://doi.org/10.3390/CELLS11101611 39. Dizdarevic E, Hansen TF, Jakobsen A (2022) The Prognostic Importance of ctDNA in Rectal Cancer: A Critical Reappraisal. Cancers (Basel) 14:. https://doi.org/10.3390/CANCERS14092252

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