AIMC Topic: Radiotherapy Dosage

Clear Filters Showing 51 to 60 of 480 articles

Automatic plan selection using deep network-A prostate study.

Medical physics Dec 10, 2024
BACKGROUND: Recently, high-dose-rate (HDR) brachytherapy treatment plans generation was improved with the development of multicriteria optimization (MCO) algorithms that can generate thousands of pareto optimal plans within seconds. This brings a shi...
Radiotherapy Planning, Computer-Assisted Deep Learning Automation Prostatic Neoplasms Humans Organs at Risk Brachytherapy Algorithms Radiotherapy Dosage Male
View on PubMed DOI

[Application of artificial intelligence-based organ contouring software and comparison of results in treatment planning for radiotherapy].

Orvosi hetilap Dec 8, 2024
Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Tomography, X-Ray Computed Neoplasms Organs at Risk Artificial Intelligence Software Algorithms
View on PubMed DOI

An assessment of the influence of trade-off optimization in commercial knowledge based planning library creation for tongue cancer patients.

Medical dosimetry : official journal of the American Association of Medical Dosimetrists Dec 6, 2024
This article aims to compare the dosimetric performance between knowledge-based plan (KBP) libraries with and without trade-off (TO) exploration using multicriterial optimization (MCO) for tongue cancer patients. The trade-off optimized library (KBP_...
Tongue Neoplasms Knowledge Bases Organs at Risk Humans Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage
View on PubMed DOI

Federated learning for enhanced dose-volume parameter prediction with decentralized data.

Medical physics Dec 6, 2024
BACKGROUND: The widespread adoption of knowledge-based planning in radiation oncology clinics is hindered by the lack of data and the difficulty associated with sharing medical data.
Humans Machine Learning Male Prostatic Neoplasms Federated Learning Radiotherapy Planning, Computer-Assisted Radiation Dosage Radiotherapy Dosage
View on PubMed DOI

Deep learning dose prediction to approach Erasmus-iCycle dosimetric plan quality within seconds for instantaneous treatment planning.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Dec 6, 2024
BACKGROUND AND PURPOSE: Fast, high-quality deep learning (DL) prediction of patient-specific 3D dose distributions can enable instantaneous treatment planning (IP), in which the treating physician can evaluate the dose and approve the plan immediatel...
Radiotherapy Dosage Radiotherapy, Intensity-Modulated Deep Learning Prostatic Neoplasms Radiotherapy Planning, Computer-Assisted Humans Male
View on PubMed DOI

Estimation of heart dose in left breast cancer radiotherapy: Assessment of vDIBH feasibility using the supervised machine learning algorithm.

Journal of applied clinical medical physics Dec 6, 2024
BACKGROUND AND OBJECTIVE: The volunteer deep inspiration breath hold (vDIBH) technique is used to reduce the heart dose in left breast cancer radiotherapy. Many times, it is faced that despite rigorous exercise and training, not all patients get bene...
Radiotherapy, Intensity-Modulated Breath Holding Unilateral Breast Neoplasms Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Female Adult Breast Neoplasms Feasibility Studies Supervised Machine Learning Middle Aged Heart Humans Algorithms
View on PubMed DOI

Assessing population-based to personalized planning strategies for head and neck adaptive radiotherapy.

Journal of applied clinical medical physics Dec 3, 2024
PURPOSE: Optimal head-and-neck cancer (HNC) treatment planning requires accurate and feasible planning goals to meet dosimetric constraints and generate robust online adaptive treatment plans. A new x-ray-based adaptive radiotherapy (ART) treatment p...
Radiotherapy, Intensity-Modulated Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy Dosage Humans Artificial Intelligence Algorithms Precision Medicine Retrospective Studies Head and Neck Neoplasms
View on PubMed DOI

Breast radiotherapy planning: A decision-making framework using deep learning.

Medical physics Dec 3, 2024
BACKGROUND: Effective breast cancer treatment planning requires balancing tumor control while minimizing radiation exposure to healthy tissues. Choosing between intensity-modulated radiation therapy (IMRT) and three-dimensional conformal radiation th...
Humans Retrospective Studies Decision Making Organs at Risk Radiotherapy Planning, Computer-Assisted Radiotherapy, Conformal Female Breast Neoplasms Deep Learning Radiotherapy Dosage Radiotherapy, Intensity-Modulated
View on PubMed DOI

Deep learning based super-resolution for CBCT dose reduction in radiotherapy.

Medical physics Dec 3, 2024
BACKGROUND: Cone-beam computed tomography (CBCT) is a crucial daily imaging modality in image-guided and adaptive radiotherapy. However, the use of ionizing radiation in CBCT imaging increases the risk of secondary cancers, which is particularly conc...
Head and Neck Neoplasms Radiation Dosage Radiotherapy Dosage Radiotherapy, Image-Guided Deep Learning Humans Cone-Beam Computed Tomography Image Processing, Computer-Assisted
View on PubMed DOI

Evaluating the dosimetric impact of deep-learning-based auto-segmentation in prostate cancer radiotherapy: Insights into real-world clinical implementation and inter-observer variability.

Journal of applied clinical medical physics Dec 1, 2024
PURPOSE: This study aimed to investigate the dosimetric impact of deep-learning-based auto-contouring for clinical target volume (CTV) and organs at risk (OARs) delineation in prostate cancer radiotherapy planning. Additionally, we compared the geome...
Imaging, Three-Dimensional Prostatic Neoplasms Prostate Tomography, X-Ray Computed Male Deep Learning Observer Variation Radiotherapy Dosage Radiotherapy, Intensity-Modulated Humans Radiometry Retrospective Studies Feasibility Studies Organs at Risk Radiotherapy Planning, Computer-Assisted
View on PubMed DOI
Popular Topics
Recent Journals