Abstract #5293
Evaluation of harmonization strategies for analyzing multi-center diffusion MRI data of rhabdomyosarcoma
Andrey Zhylka1, Giulia De Donno1, Cyrano Chatziantoniou1,2, Roelof van Ewijk2, Madeleine Adams3, Patrizia Bertolini 4, Gianni Bisogno 5, Amine Bouhamama 6, Pablo Caro-Dominguez 7, Valérie Charon 8, Ana Coma 9, Rana Dandis 2, Christine Devalck 10, Andrea Ferrari 11, Giulia Fichera 12, Marta Fiocco 2,13,14, Soledad Gallego 15, Heidi Glosli 16, Simone A.J. ter Horst 17, Meriel Jenney 3, Willemijn M. Klein 18, Julie Leseur 19, Henry C. Mandeville 20, Kieran Mchugh 21, Veronique Minard-Colin 22, Salma Moalla 23, Carlo Morosi 24, Daniel Orbach 25, Lise S. Ording Müller 26, Erika Pace 27, Pier Luigi Di Paolo 28, Katia Perruccio 29, Lucia Quaglietta 30, Marleen Renard 31, Antonio Ruggiero 32, Sara I. Sirvent 33, Reineke A. Schoot 2, Rick R. van Rijn 34, Johannes HM Merks 2,35, Alexander Leemans 1, and Alberto De Luca 1,36
1Image Sciences Institute, UMC Utrecht, Utrecht, The Netherlands, Utrecht, Netherlands, 2Princess Máxima Center for pediatric oncology, Utrecht, The Netherlands, Utrecht, Netherlands, 3Department of Paediatric Oncology, Children's Hospital for Wales, University Hospital, Cardiff, United Kingdom, Cardiff, United Kingdom, 4Pediatric Hematology-Oncology Unit University-Hospital of Parma, Parma, Italy, Parma, Italy, 5Department of Women’s and Children’s Health, University of Padua, and Pediatric Hematology Oncology Division, University Hospital of Padua, Padua, Italy, Padua, Italy, 6Service de radiologie interventionnelle oncologique, Centre Léon Bérard, Lyon, France, Lyon, France, 7Paediatric Radiology Unit, Department of Radiology, Hospital Universitario Virgen del Rocío, Seville, Spain, Seville, Spain, 8CHU Rennes, Radiology Department, Rennes, France, Rennes, France, 9Paediatric Radiology Unit, Vall d´Hebron Hospital Campus, Barcelona, Spain, Barcelona, Spain, 10Department of Hemato-Oncology, HUB, ULB, HUDERF, Brussels, Belgium, Brussels, Belgium, 11Pediatric Oncology Unit, Fondazione IRCCS Istituto Nazionale Tumori, Milano, Italy, Milano, Italy, 12Pediatric Radiology Unit, University Hospital of Padova, Padova, Italy., Padova, Italy, 13Mathematical Institute, Leiden University, Leiden, The Netherlands, Leiden, Netherlands, 14Department of Biomedical data Science, Medical Statistics Section, Leiden University Medical Centre, The Netherlands, Leiden, Netherlands, 15Pediatric Oncology Department. Vall d'Hebron Hospital, Barcelona, Spain, Barcelona, Spain, 16Department of Paediatric Research, Division of Paediatric and Adolescent Medicine, Oslo University Hospital, Oslo, Norway, Oslo, Norway, 17Department of Radiology and Nuclear Medicine, Wilhelmina Children’s Hospital, UMC Utrecht, Utrecht, The Netherlands, Utrecht, Netherlands, 18Department of Medical Imaging, Radboud University Medical Center, Nijmegen, the Netherlands, Nijmegen, Netherlands, 19Service de Radiothérapie, Centre Eugène Marquis, Rennes, France, Rennes, France, 20Department of Radiotherapy, The Royal Marsden Hospital and The Institute of Cancer Research, Sutton, United Kingdom, Sutton, United Kingdom, 21Department of Radiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom, London, United Kingdom, 22Department of Pediatric and Adolescent Oncology, Gustave Roussy Cancer Campus, Université Paris-Saclay, Villejuif, France, Villejuif, France, 23Department of Imaging, Institut Gustave Roussy, Villejuif, France, Villejuif, France, 24Diagnostic and Interventional Radiology, Fondazione IRCCS Istituto Nazionale dei Tumori, Milano, Italy, Milano, Italy, 25SIREDO Oncology Center (Care, Innovation and Research for Children and AYA with Cancer), PSL Research University, Institut Curie, Paris, France, Paris, France, 26Department of Radiology and Intervention Unit for Paediatric Radiology, Oslo University Hospital, Ullevål, Norway, Ullevål, Norway, 27Department of Radiology, The Royal Marsden NHS Foundation Trust, London, United Kingdom, London, United Kingdom, 28Department of Radiology, Bambino Gesù Children's Hospital, IRCCS, Rome, Italy, Rome, Italy, 29Pediatric Hematology Oncology, Azienda Ospedaliera Universitaria, Ospedale Santa Maria Della Misericordia, Perugia, Italy, Perugia, Italy, 30Neuro-Oncology Unit, Department of Paediatric Oncology, Santobono-Pausilipon Children's Hospital, Naples, Italy, Naples, Italy, 31Department of Paediatric Hemato-oncology, University Hospital Leuven, Belgium, Leuven, Belgium, 32Pediatric Oncology Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy, Rome, Italy, 33Pediatric Radiology Department, Hospital Niño Jesús, Madrid, Spain, Madrid, Spain, 34Amsterdam UMC location University of Amsterdam, Department of Radiology and Nuclear Medicine, Amsterdam, the Netherlands, Amsterdam, Netherlands, 35Division of Imaging and Oncology, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands, Utrecht, Netherlands, 36Neurology Department, UMC Utrecht Brain Center, Utrecht, Netherlands
Synopsis
Keywords: Rare Disease, Tumors, Whole Body; Treatment Response
Motivation: Rhabdomyosarcoma is a rare pediatric tumor without known biomarkers for early therapy adjustment. Their investigation requires multi-center patient cohorts and, consequently, data harmonization.
Goal(s): Comparison of two harmonization approaches (“ComBat”, “generalized linear models (GLM) regression”) for evaluating potential differences in performance and outcome.
Approach: Tumorous and healthy tissues were segmented. Healthy and tumorous ADC features were harmonized with ComBat, the regression based GLM – on healthy features and applied to tumors. Tumor histology, body area, center information were provided as covariates.
Results: In head-and-neck tumors, a stronger correlation between ADC change and survival was observed after harmonization, but not in other tumor locations.
Impact: The results suggest that harmonization should be applied to separate groups based on tumor location, thus, allowing the algorithm to focus on inter-center variability. The need for more extensive delineations of healthy tissues is suggested for more robust results.
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