9069 Results

Congress Abstract

Medical physicists will drive the development and implementation of artificial intelligence in Radiation Oncology

Authors: VAN ELMPT|, WOUTER(1)*[wouter.vanelmpt@maastro.nl];JORNET|, N(2);
(1)MAASTRICHT UNIVERSITY, DEPARTMENT OF RADIATION ONCOLOGY, MAASTRICHT, THE NETHERLANDS;(2)HOSPITAL DE LA SANTA CREU I SANT PAU, SERVEI DE RADIOFÍSICA I RADIOPROTECCIÓ, BARCELONA, SPAIN;
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Congress Abstract

First clinical experiences with MR-only treatment planning and delivery for pelvic cancers

Authors: Nissen|, Henrik D.(1)*[henrik.dahl.nissen@rsyd.dk];McIlroy|, Sean P.(1);Havelund|, Birgitte M.(2);Krog|, Carina(1);Pløen|, John(2);Berg|, Martin(1);
(1)Vejle Hospital, Medical Physics, Vejle, Denmark;(2)Vejle Hospital, Oncology, Vejle, Denmark;
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Congress Abstract

PRECISION ANALYSIS OF THE “TEACHH” MODEL FOR DECISION-MAKING IN PALLIATIVE PATIENTS

Authors:

Cecilia Escuin1, Maria Cerrolaza1, Victoria Navarro1, Alberto Lanuza1, Arantxa Campos1, Sonia Flamarique1, Cristina García1, Jose Miguel Ponce1, Reyes Ibañez1

1University Hospital Miguel Servet, Radiation oncology, Zaragoza, Spain

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Journal Article

Predicting radiotherapy-induced xerostomia in head and neck cancer patients using day-to-day kinetics of radiomics features

Authors: Thomas Berger, David J. Noble, Leila E.A. Shelley, Thomas McMullan, Amy Bates, Simon Thomas, Linda J. Carruthers, George Beckett, Aileen Duffton, Claire Paterson, Raj Jena, Duncan B. McLaren, Neil G. Burnet, William H. Nailon

Congress Abstract

High-dose post-operative Protontherapy to improve the outcome of high-grade meningiomas

Authors:

Katarzyna Holub1, Sébastien Froelich2, Homa Adle-Biassette3, Jean-Pierre Guichard4, Karl Champeaux2, Alexandre Carpentier5, Karima Mokhtari6, Loic Feuvret7, Guillaume Lot8, Stéphanie Bolle9, Claire Alapetite10, Sylvie Helfre11, Farid Goudjil10, Isabelle Pasquie10, Catherine Nauraye11, Radouane El Ayachy11, Valentin Calugaru11, Remi Dendale11, Hamid Mammar11

1Institut Curie, France; Universitat de Barcelona, Spain; Spanish Society for Radiation Oncology (SEOR) - CRIS Foundation, Radiation Oncology, Barcelona, Spain; 2Hôpital Lariboisière , Department of Neurosurgery, Paris, France; 3Hôpital Lariboisière , Department of Pathology, Paris, France; 4Hôpital Lariboisière , Department of Radiology, Paris, France; 5Hôpital La Pitié Salpêtrière , Department of Neurosurgery, Paris, France; 6Hôpital La Pitié Salpêtrière , Department of Pathology, Paris, France; 7Hôpital La Pitié Salpêtrière, Institut Curie, Department of Radiation Oncology, Paris, France; 8Fondation Rothschild , Departament of Neurosurgery, Paris, France; 9Institut Gustave Roussy, Institut Curie, Radiation Oncology Department, Villejuif, France; 10Institut Curie, Radiation Oncology Department , Paris, France; 11Institut Curie, Radiation Oncology Department, Paris, France

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Congress Abstract

prophylactic NG tube vs NG tube on demand for feeding, in locally advanced Head-Neck cancer on CCRT

Authors:

Sharif Ahmed1, Rashid Un Nabi2, Ashim Kumar Sengupta1

1United Hospital Ltd, Cancer Care Center, Dhaka, Bangladesh; 2United Hospital Ltd, Cancer Care center, Dhaka, Bangladesh

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Webcast

Adaptive workflow - current status and challenges

Authors: Siarhei Kharuzhyk

Journal Article

Exploratory models comparing ethiodized oil-glue and gold fiducials for bladder radiotherapy image-guidance

Authors: Daryl Lim Joon, Alexandra Berlangieri, Benjamin Harris, Mark Tacey, Rachel O'Meara, Brent Pitt, Angela Viotto, Kerryn Brown, Michal Schneider, Nathan Lawrentschuk, Shomik Sengupta, Colleen Berry, Trish Jenkins, Michael Chao, Morikatsu Wada, Farshad Foroudi, Vincent Khoo

Congress Abstract

Which metric quantifies dose fall-off for SRS treatments of brain lesions?

Authors:

Tomi Nano1, Dante Capaldi2, Cynthia Chuang2, Lei Wang2, Scott Soltys3, Steve Braunstein1, Lijun Ma1

1University of California, San Francisco (UCSF), Radiation Oncology, San Francisco, USA; 2Stanford University, Radiation Oncology, Palo Alto, USA; 3Stanford University , Radiation Oncology, Palo Alto, USA

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Congress Abstract

Machine learning (ML) for predicting patient-reported symptoms during breast and prostate RT

Authors:

Juha Kononen1, Jussi Ekström2, Santeri Mentu2, Vesa Kataja2, Laura Lang2, Henri Virtanen2, Mari Metso-Lintula2, Timo Joensuu3, Christian von Briel4

1Docrates Cancer Center, Personalized Oncology, Helsinki, Finland; 2Kaiku Health, Medical Science, Helsinki, Finland; 3Docrates Cancer Center, Radiotherapy, Helsinki, Finland; 4Hirslanden Medical Center, Institut für Radiotherapie Aarau, Aarau, Switzerland

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