Results 31 to 40 of about 278,508 (279)

Radiotherapy planning for glioblastoma based on a tumor growth model: Improving target volume delineation [PDF]

, 2013
Glioblastoma are known to infiltrate the brain parenchyma instead of forming a solid tumor mass with a defined boundary. Only the part of the tumor with high tumor cell density can be localized through imaging directly.
Ayache, Nicholas, Dittmann, Florian, Konukoglu, Ender, Le, Matthieu, Menze, Bjoern H., Shih, Helen A., Unkelbach, Jan   +6 more
core   +5 more sources

Benchmarking daily adaptation using fully automated radiotherapy treatment plan optimization for rectal cancer

Physics and Imaging in Radiation Oncology, 2022
Background/purpose: In daily plan adaptation the radiotherapy treatment plan is adjusted just prior to delivery. A simple approach is taking the planning objectives of the reference plan and directly applying these in re-optimization.
Thyrza Z. Jagt, Tomas M. Janssen, Anja Betgen, Lisa Wiersema, Rick Verhage, Sanne Garritsen, Tineke Vijlbrief-Bosman, Peter de Ruiter, Peter Remeijer, Corrie A.M. Marijnen, Femke P. Peters, Jan-Jakob Sonke   +11 more
doaj   +1 more source

An Automated Treatment Plan Quality Control Tool for Intensity-Modulated Radiation Therapy Using a Voxel-Weighting Factor-Based Re-Optimization Algorithm. [PDF]

, 2016
Intensity-modulated radiation therapy (IMRT) currently plays an important role in radiotherapy, but its treatment plan quality can vary significantly among institutions and planners.
Cerviño, Laura, Gautier, Quentin, Jiang, Steve, Li, Nan, Li, Yongbao, Mell, Loren, Song, Ting, Zarepisheh, Masoud, Zhou, Linghong   +8 more
core   +4 more sources

Automated Hypofractionated IMRT treatment planning for early-stage breast Cancer

Radiation Oncology, 2020
Background Hypofractionated whole-breast irradiation is a standard adjuvant therapy for early-stage breast cancer. This study evaluates the plan quality and efficacy of an in-house-developed automated radiotherapy treatment planning algorithm for ...
Ting-Chun Lin, Chih-Yuan Lin, Kai-Chiun Li, Jin-Huei Ji, Ji-An Liang, An-Cheng Shiau, Liang-Chih Liu, Ti-Hao Wang   +7 more
doaj   +1 more source

Radiation Planning Assistant - A Streamlined, Fully Automated Radiotherapy Treatment Planning System [PDF]

Journal of Visualized Experiments, 2018
The Radiation Planning Assistant (RPA) is a system developed for the fully automated creation of radiotherapy treatment plans, including volume-modulated arc therapy (VMAT) plans for patients with head/neck cancer and 4-field box plans for patients with cervical cancer.
Court, Laurence E., Kisling, Kelly, McCarroll, Rachel, Zhang, Lifei, Yang, Jinzhong, Simonds, Hannah, Du Toit, Monique, Trauernicht, Chris, Burger, Hester, Parkes, Jeannette, Mejia, Mike, Bojador, Maureen, Balter, Peter, Branco, Daniela, Steinmann, Angela, Baltz, Garrett, Gay, Skylar, Anderson, Brian, Cardenas, Carlos, Jhingran, Anuja, Shaitelman, Simona, Bogler, Oliver, Schmeller, Kathleen, Followill, David, Howell, Rebecca, Nelson, Christopher, Peterson, Christine, Beadle, Beth   +27 more
openaire   +3 more sources

Leveraging intelligent optimization for automated, cardiac-sparing accelerated partial breast treatment planning

Frontiers in Oncology, 2023
BackgroundAccelerated partial breast irradiation (APBI) yields similar rates of recurrence and cosmetic outcomes as compared to whole breast radiation therapy (RT) when patients and treatment techniques are appropriately selected.
Joel A. Pogue, Carlos E. Cardenas, Yanan Cao, Richard A. Popple, Michael Soike, Drexell Hunter Boggs, Dennis N. Stanley, Joseph Harms   +7 more
doaj   +1 more source

Addressing the Global Expertise Gap in Radiation Oncology: The Radiation Planning Assistant

JCO Global Oncology, 2023
PURPOSEAutomation, including the use of artificial intelligence, has been identified as a possible opportunity to help reduce the gap in access and quality for radiotherapy and other aspects of cancer care.
Laurence Court, Ajay Aggarwal, Hester Burger, Carlos Cardenas, Christine Chung, Raphael Douglas, Monique du Toit, David Jaffray, Anuja Jhingran, Michael Mejia, Raymond Mumme, Sikudhani Muya, Komeela Naidoo, Jerry Ndumbalo, Kelly Nealon, Tucker Netherton, Callistus Nguyen, Niki Olanrewaju, Jeannette Parkes, Willie Shaw, Christoph Trauernicht, Melody Xu, Jinzhong Yang, Lifei Zhang, Hannah Simonds, Beth M. Beadle   +25 more
doaj   +1 more source

Automated diagnosis and treatment planning in dentistry

International journal of health sciences, 2023
This study aims to investigate the perceptions and experiences regarding automated diagnosis and treatment planning in dentistry. The field of automated diagnosis and treatment planning is rapidly evolving, leveraging advanced technologies such as artificial intelligence (AI) and machine learning to enhance patient care and outcomes.
Salman Aziz, Kashif Adnan, Hijab Fatemah, Umair Farrukh, Ehsan Rathore, Muhammad Umer   +5 more
openaire   +1 more source

Validating Dose Uncertainty Estimates Produced by AUTODIRECT: An Automated Program to Evaluate Deformable Image Registration Accuracy. [PDF]

, 2017
Deformable image registration is a powerful tool for mapping information, such as radiation therapy dose calculations, from one computed tomography image to another. However, deformable image registration is susceptible to mapping errors.
Chen, Josephine, Kim, Hojin, Kirby, Neil, Phillips, Justin, Pukala, Jason, Yom, Sue S   +5 more
core   +3 more sources

Accuracy of Patient-Specific Organ Dose Estimates Obtained Using an Automated Image Segmentation Algorithm [PDF]

, 2016
The overall goal of this work is to develop a rapid, accurate, and automated software tool to estimate patient-specific organ doses from computed tomography (CT) scans using simulations to generate dose maps combined with automated segmentation ...
Coradi, Thomas, Gilat-Schmidt, Taly, Haas, Benjamin, Star-Lack, Josh, Wang, Adam S.   +4 more
core   +2 more sources