Results 11 to 20 of about 278,508 (279)

Automated VMAT planning for postoperative adjuvant treatment of advanced gastric cancer [PDF]

Radiation Oncology, 2018
Background Postoperative/adjuvant radiotherapy of advanced gastric cancer involves a large planning target volume (PTV) with multi-concave shapes which presents a challenge for volumetric modulated arc therapy (VMAT) planning. This study investigates the
Abdul Wahab M. Sharfo, Florian Stieler, Oskar Kupfer, Ben J. M. Heijmen, Maarten L. P. Dirkx, Sebastiaan Breedveld, Frederik Wenz, Frank Lohr, Judit Boda-Heggemann, Daniel Buergy   +9 more
doaj   +7 more sources

Dosimetric Evaluation of Pinnacle’s Automated Treatment Planning Software to Manually Planned Treatments [PDF]

Technology in Cancer Research & Treatment, 2018
Introduction: With the advent of complex treatment techniques like volumetric modulated arc therapy, there has been increasing interest in treatment planning technologies aimed at reducing planning time. One of these such technologies is auto-planning, which is an automated planning module within Pinnacle3.
Kristen A. McConnell, Tyler Marston, Brianna Elizabeth Zehren, Aziz Lirani, Dennis N. Stanley, Aaron Bishop, Richard Crownover, Tony Eng, Zheng Shi, Ying Li, Diana Baacke, Neil Kirby, Karl Rasmussen, Niko Papanikolaou, Alonso N. Gutierrez   +14 more
openaire   +3 more sources

Initial evaluation of automated treatment planning software [PDF]

Journal of Applied Clinical Medical Physics, 2016
Even with advanced inverse‐planning techniques, radiation treatment plan optimization remains a very time‐consuming task with great output variability, which prompted the development of more automated approaches. One commercially available technique mimics the actions of experienced human operators to progressively guide the traditional optimization ...
Gintz, Dawn, Latifi, Kujtim, Caudell, Jimmy, Nelms, Benjamin, Zhang, Geoffrey, Moros, Eduardo, Feygelman, Vladimir   +6 more
openaire   +3 more sources

Clinical Experience With Machine Learning-Based Automated Treatment Planning for Whole Breast Radiation Therapy [PDF]

Advances in Radiation Oncology, 2021
Purpose: The machine learning–based automated treatment planning (MLAP) tool has been developed and evaluated for breast radiation therapy planning at our institution. We implemented MLAP for patient treatment and assessed our clinical experience for its
Sua Yoo, PhD, Yang Sheng, PhD, Rachel Blitzblau, MD, PhD, Susan McDuff, MD, PhD, Colin Champ, MD, Jay Morrison, BS, CMD, Leigh O’Neill, BS, CMD, Suzanne Catalano, BS, CMD, Fang-Fang Yin, PhD, Q. Jackie Wu, PhD   +9 more
doaj   +2 more sources

An automated treatment planning portfolio for whole breast radiotherapy [PDF]

Medical Physics
AbstractBackgroundAutomation in radiotherapy presents a promising solution to the increasing cancer burden and workforce shortages. However, existing automated methods for breast radiotherapy lack a comprehensive, end‐to‐end solution that meets varying standards of care.PurposeThis study aims to develop a complete portfolio of automated radiotherapy ...
Baroudi, Hana, Che Fru, Leonard, Schofield, Deborah, Roniger, Dominique L., Nguyen, Callistus, Hancock, Donald, Chung, Christine, Beadle, Beth M., Gifford, Kent A., Netherton, Tucker, Niedzielski, Joshua S., Melancon, Adam, Muruganandham, Manickam, Khan, Meena, Shaitelman, Simona F., Shete, Sanjay, Murina, Patricia, Venencia, Daniel, Thengumpallil, Sheeba, Vrieling, Conny, Zhang, Joy, Mitchell, Melissa P., Court, Laurence E.   +22 more
openaire   +3 more sources

Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer [PDF]

Radiation Oncology, 2018
Background Automated treatment planning and/or optimization systems (ATPS) are in the process of broad clinical implementation aiming at reducing inter-planner variability, reducing the planning time allocated for the optimization process and improving ...
J. Krayenbuehl, M. Zamburlini, S. Ghandour, M. Pachoud, S. Tanadini-Lang, J. Tol, M. Guckenberger, W. F. A. R. Verbakel   +7 more
doaj   +2 more sources

Correction to: Planning comparison of five automated treatment planning solutions for locally advanced head and neck cancer [PDF]

Radiation Oncology, 2018
Following publication of the original article [1], the authors reported that one of the authors’ names was processed incorrectly.
J. Krayenbuehl, M. Zamburlini, S. Ghandour, M. Pachoud, S. Tanadini-Lang, J. Tol, M. Guckenberger, W. F. A. R. Verbakel   +7 more
doaj   +2 more sources

Commissioning results of an automated treatment planning verification system [PDF]

Journal of Applied Clinical Medical Physics, 2014
A dose calculation verification system (VS) was acquired and commissioned as a second check on the treatment planning system (TPS). This system reads DICOM CT datasets, RT plans, RT structures, and RT dose from the TPS and automatically, using its own collapsed cone superposition/convolution algorithm, computes dose on the same CT dataset.
Nelson, Christopher L., Mason, Bryan E., Robinson, Ronald C., Kisling, Kelly D., Kirsner, Steven M.   +4 more
openaire   +3 more sources

Fully automated noncoplanar radiation therapy treatment planning [PDF]

Medical Physics, 2021
AbstractPurposeTo perform fully automated noncoplanar (NC) treatment planning, we propose a method called NC‐POPS to produce NC plans using the Pareto optimal projection search (POPS) algorithm.MethodsNC radiation therapy treatment planning has the potential to improve dosimetric quality as compared to traditional coplanar techniques.
Huang, Charles, Yang, Yong, Xing, Lei
openaire   +3 more sources

Meta-optimization for fully automated radiation therapy treatment planning [PDF]

Physics in Medicine & Biology, 2022
Abstract Objective. Radiation therapy treatment planning is a time-consuming process involving iterative adjustments of hyperparameters. To automate the treatment planning process, we propose a meta-optimization framework, called MetaPlanner (MP). Approach.
Charles Huang, Yusuke Nomura, Yong Yang, Lei Xing   +3 more
openaire   +3 more sources