Medica l Image Ana lysis & Ar t i f icia l Intel l igence Symposium 2022 Nr. 1: Maria Delgado-Ortet, PhD: Lesion-Specific 3D-Printed Moulds of Pelvic Tumours for Image-Guided Tissue Sampling of High Grade Serous Ovarian Carcinoma Curriculum Vitae: Maria Delgado-Ortet graduated in Biomedical Engineering from the University of Barcelona and completed postgraduate courses at Chalmers University of Technology (Sweden) and Trinity College Dublin (Ireland). She joined the University of Cambridge as a PhD student in joint collaboration between the Department of Radiology Radiogenomics and Quantitative Imaging Group and the Department of Engineering. Maria’s doctoral research is mainly focused on understanding spatial and temporal tumour heterogeneity in High Grade Serous Ovarian Carcinoma (HGSOC) applying artificial intelligence (AI) and image analysis. She has led the technical development of image-guided tissue sampling techniques for HGSOC both in vivo –multimodal image registration for realtime ultrasound-guided biopsies using CTderived maps– and ex vivo –lesion-specific 3D-printed moulds for image-guided sampling of tumours surgically resected. Abstract: Lesion-Specific 3D-Printed Moulds of Pelvic Tumours for Image-Guided Tissue Sampling of High Grade Serous Ovarian Carcinoma High-Grade Serous Ovarian Cancer (HGSOC) is the most prevalent and lethal subtype of ovarian cancer. Integration of radiology and tissue-derived (histopathological and genomic) data can improve prediction of patient outcome and treatment response. With the aim of allowing detailed spatial correlation of imaging and molecular pathology data, we introduce a computational pipeline for 3D printing lesion-specific moulds of pelvic gynaecological lesions. The moulds are modelled and printed prior to surgical resection through an automated computational pipeline that computes the shape and size of the delineated tumour on routinely acquired CT or MR imaging. A prospective pilot study on five patients with suspected HGSOC scheduled for debulking surgery in Addenbrooke’s Cambridge University Hospital concluded the successful development of a precision tissue sampling technique to guide the sampling of resected tumours that can be integrated in the clinical routine for patients with HGSOC which involves radiology, surgery and pathology.