A Guide to Outcome Modeling In Radiotherapy and Oncology: Listening to the Data

Description

This book explores outcome modeling in cancer from a data-centric perspective to enable a better understanding of complex treatment response, to guide the design of advanced clinical trials, and to aid personalized patient care and improve their quality of life. It contains coverage of the relevant data sources available for model construction (panomics), ranging from clinical or preclinical resources to basic patient and treatment characteristics, medical imaging (radiomics), and molecular biological markers such as those involved in genomics, proteomics and metabolomics. It also includes discussions on the varying methodologies for predictive model building with analytical and data-driven approaches. This book is primarily intended to act as a tutorial for newcomers to the field of outcome modeling, as it includes in-depth how-to recipes on modeling artistry while providing sufficient instruction on how such models can approximate the physical and biological realities of clinical treatment. The book will also be of value to seasoned practitioners as a reference on the varying aspects of outcome modeling and their current applications. Content: Clinical data in outcome models / Michael T. Milano -- Imaging data (radiomics) / Issam El Naqa -- Dosimetric data / Issam El Naqa and Randall K. Ten Haken -- Pre-clinical radiobiological insights to inform modelling of radiotherapy outcome / Peter van Luijk and Robert P. Coppes -- Radiogenomics / Issam El Naqa, Sarah L. Kerns, James Coates, Yi Luo, Corey Speers, Randall K. Ten Haken, Catharine M.L. West, and Barry S. Rosenstein -- Analytical models / Vitali Moiseenko, Jimm Grimm, James D. Murphy, David J. Carlson, and Issam El Naqa -- Conventional modeling / Tiziana Rancati and Claudio Fiorino -- Machine learning modeling / Sarah Gulliford -- Multiscale modeling: Monte Carlo / Werner Friedland and Pavel Kundrát -- Multi-scale modeling approaches: application in chemo- and immuno-therapies / Issam El Naqa -- Outcome modeling in treatment planning / X. Sharon Qi, Mariana Guerrero, and X. Allen Li -- Utility / Matthew J. Schipper -- Outcome modeling in particle therapy / J. Schuemann, A.L. McNamara, and C. Grassberger -- Modeling response to oncological surgery / J. Jesús Naveja, Leonardo Zapata-Fonseca, and Flavio F. Contreras-Torres -- Developing personalized treatment recommendations using SMARTs / Elizabeth F. Krakow and Erica E.M. Moodie.