Results 21 to 30 of about 1,121,145 (324)

Positron Emission Tomography (PET)/Computed Tomography (CT) Imaging in Radiation Therapy Treatment Planning: A Review of PET Imaging Tracers and Methods to Incorporate PET/CT

Advances in Radiation Oncology, 2023
Purpose Positron emission tomography (PET)/computed tomography (CT) has become a critical tool in clinical oncology with an expanding role in guiding radiation treatment planning.
Jacob Trotter, Austin R Pantel, B. Teo, F. E. Escorcia, Taoran Li, D. Pryma, N. Taunk   +6 more
semanticscholar   +1 more source

The Capital Investment Strategy for Radiation therapy in Ontario: A Framework to Ensure Access to Radiation Therapy

Advances in Radiation Oncology, 2020
Purpose: Ontario Health (Cancer Care Ontario), formerly known as CCO, is the provincial governmental agency in Ontario, Canada responsible for developing radiation therapy-specific capital investment strategies, updated every 5 years, to ensure equitable
Rachel M. Glicksman, MD, MSc, Audrey Wong, BSc, MPH, Jonathan Wang, BASc, MASc, Lisa Favell, BA, MBA, Garth Matheson, BComm, MBA, Michael Brundage, MD, FRCPC, Julie Renaud, MRT(T), Kyle Malkoske, PhD, Joanne MacPhail, Derek Finnerty, BA, Sophie Foxcroft, MRT(T), MHSc, Eric Gutierrez, MRT(T), CMD, Padraig Warde, MBChB BAO, FRCPC   +12 more
doaj   +1 more source

Novel method of combined photon beam radiotherapy and brachytherapy for treatment of extensive advanced scalp squamous cell carcinoma

Journal of Contemporary Brachytherapy, 2021
Radiotherapy of extensive malignant scalp lesions has always been a challenge for radiation oncologists considering the proximity of critical structures.
Mostafa Farzin, Ramin Jaberi, Fatemeh Jafari, Mohsen Najafi, Kasra Kolahdouzan   +4 more
doaj   +1 more source

Autosegmentation for thoracic radiation treatment planning: A grand challenge at AAPM 2017. [PDF]

Med Phys, 2018
Purpose: This report presents the methods and results of the Thoracic Auto-Segmentation Challenge organized at the 2017 Annual Meeting of American Association of Physicists in Medicine.
Yang J, Veeraraghavan H, Armato SG, Farahani K, Kirby JS, Kalpathy-Kramer J, van Elmpt W, Dekker A, Han X, Feng X, Aljabar P, Oliveira B, van der Heyden B, Zamdborg L, Lam D, Gooding M, Sharp GC.   +16 more
europepmc   +2 more sources

A convex optimization approach to radiation treatment planning with dose constraints. [PDF]

Optim Eng, 2019
We present a method for handling dose constraints as part of a convex programming framework for inverse treatment planning. Our method uniformly handles mean dose, maximum dose, minimum dose, and dose-volume (i.e., percentile) constraints as part of a ...
Fu A, Ungun B, Xing L, Boyd S.
europepmc   +3 more sources

Quality improvements in radiation oncology clinical trials

Frontiers in Oncology, 2023
Clinical trials have become the primary mechanism to validate process improvements in oncology clinical practice. Over the past two decades there have been considerable process improvements in the practice of radiation oncology within the structure of a ...
Koren Smith, Kenneth Ulin, Michael Knopp, Stephan Kry, Ying Xiao, Mark Rosen, Jeff Michalski, Matthew Iandoli, Fran Laurie, Jean Quigley, Heather Reifler, Juan Santiago, Kathleen Briggs, Shawn Kirby, Kate Schmitter, Fred Prior, Joel Saltz, Ashish Sharma, Maryann Bishop-Jodoin, Janaki Moni, M. Giulia Cicchetti, Thomas J. FitzGerald   +21 more
doaj   +1 more source

Accuracy of Computerized Radiation Treatment Planning [PDF]

Acta Radiologica: Oncology, Radiation, Physics, Biology, 1979
The accuracy of computerized dose planning depends essentially on the computer program. The quickest and simplest way to assess the accuracy of a commercial program is to compare the results of the computer calculations with measured values. The present report deals with the accuracy of the RADPLAN dose planning program in different situations easy to ...
T, Väyrynen, K, Kiviniitty, P J, Taskinen   +2 more
openaire   +2 more sources

Radiation treatment planning and delivery strategies for a pregnant brain tumor patient. [PDF]

J Appl Clin Med Phys, 2018
The management of a pregnant patient in radiation oncology is an infrequent event requiring careful consideration by both the physician and physicist. The aim of this manuscript was to highlight treatment planning techniques and detail measurements of ...
Labby ZE, Barraclough B, Bayliss RA, Besemer AE, Dunkerley DAP, Howard SP.   +5 more
europepmc   +2 more sources

Predicting radiation treatment planning evaluation parameter using artificial intelligence and machine learning

IOP SciNotes, 2020
Purpose: This study suggested a new method predicting the dose-volume parameter for radiation treatment planning evaluation using machine learning, and to evaluate the performance of different learning algorithms in the parameter prediction.
Frederick F. C. Ng, R. Jiang, J. Chow
semanticscholar   +1 more source

Multiobjective, Multidelivery Optimization for Radiation Therapy Treatment Planning

Advances in Radiation Oncology, 2020
Purpose: To introduce multiobjective, multidelivery optimization (MODO), which generates alternative patient-specific plans emphasizing dosimetric trade-offs and conformance to quasi-constrained (QC) conditions for multiple delivery techniques.
William Tyler Watkins, PhD, Hamidreza Nourzadeh, PhD, Jeffrey V. Siebers, PhD   +2 more
doaj   +1 more source