Experience-based quality control of clinical intensity-modulated radiotherapy planning.
about
Initial evaluation of automated treatment planning softwareIs it possible for knowledge-based planning to improve intensity modulated radiation therapy plan quality for planners with different planning experiences in left-sided breast cancer patients?Process-based quality management for clinical implementation of adaptive radiotherapyStandardizing naming conventions in radiation oncology.Automatic interactive optimization for volumetric modulated arc therapy planning.Quantifying Unnecessary Normal Tissue Complication Risks due to Suboptimal Planning: A Secondary Study of RTOG 0126.Can knowledge-based DVH predictions be used for automated, individualized quality assurance of radiotherapy treatment plans?Performance of a Knowledge-Based Model for Optimization of Volumetric Modulated Arc Therapy Plans for Single and Bilateral Breast Irradiation.Intercenter validation of a knowledge based model for automated planning of volumetric modulated arc therapy for prostate cancer. The experience of the German RapidPlan Consortium.Importance of Radiation Oncologist Experience Among Patients With Head-and-Neck Cancer Treated With Intensity-Modulated Radiation TherapyApplying a RapidPlan model trained on a technique and orientation to another: a feasibility and dosimetric evaluationInterobserver variation in parotid gland delineation: a study of its impact on intensity-modulated radiotherapy solutions with a systematic review of the literature.Sparing functional anatomical structures during intensity-modulated radiotherapy: an old problem, a new solution.Knowledge-driven decision support for assessing dose distributions in radiation therapy of head and neck cancer.Highly Efficient Training, Refinement, and Validation of a Knowledge-based Planning Quality-Control System for Radiation Therapy Clinical Trials.A predictive model to guide management of the overlap region between target volume and organs at risk in prostate cancer volumetric modulated arc therapy.Incorporating single-side sparing in models for predicting parotid dose sparing in head and neck IMRT.Clinical implementation of a knowledge based planning tool for prostate VMAT.RapidPlan head and neck model: the objectives and possible clinical benefit.A dosimetric evaluation of knowledge-based VMAT planning with simultaneous integrated boosting for rectal cancer patients.Radiobiological characteristics of cancer stem cells from esophageal cancer cell lines.Toward optimal organ at risk sparing in complex volumetric modulated arc therapy: an exponential trade-off with target volume dose homogeneity.Knowledge-based prediction of three-dimensional dose distributions for external beam radiotherapy.A broad scope knowledge based model for optimization of VMAT in esophageal cancer: validation and assessment of plan quality among different treatment centersEvaluating inter-campus plan consistency using a knowledge based planning modelGeometric dose prediction model for hemithoracic intensity-modulated radiation therapy in mesothelioma patients with two intact lungs.Modeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.Assessment of a model based optimization engine for volumetric modulated arc therapy for patients with advanced hepatocellular cancer.Vision 20/20: Automation and advanced computing in clinical radiation oncology.Interobserver variability in radiation therapy plan output: Results of a single-institution study.A comprehensive comparison of IMRT and VMAT plan quality for prostate cancer treatment.Point/Counterpoint: Within the next ten years treatment planning will become fully automated without the need for human intervention.Knowledge-based prediction of plan quality metrics in intracranial stereotactic radiosurgery.Automatic learning-based beam angle selection for thoracic IMRT.Models for predicting objective function weights in prostate cancer IMRT.Dose-shaping using targeted sparse optimization.Sample size requirements for knowledge-based treatment planning.A method for a priori estimation of best feasible DVH for organs-at-risk: Validation for head and neck VMAT planning.Photon Optimizer (PO) prevails over Progressive Resolution Optimizer (PRO) for VMAT planning with or without knowledge-based solution.Automated inverse optimization facilitates lower doses to normal tissue in pancreatic stereotactic body radiotherapy.
P2860
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P2860
Experience-based quality control of clinical intensity-modulated radiotherapy planning.
description
2011 nî lūn-bûn
@nan
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
2011年學術文章
@zh-hant
name
Experience-based quality control of clinical intensity-modulated radiotherapy planning.
@en
Experience-based quality control of clinical intensity-modulated radiotherapy planning.
@nl
type
label
Experience-based quality control of clinical intensity-modulated radiotherapy planning.
@en
Experience-based quality control of clinical intensity-modulated radiotherapy planning.
@nl
prefLabel
Experience-based quality control of clinical intensity-modulated radiotherapy planning.
@en
Experience-based quality control of clinical intensity-modulated radiotherapy planning.
@nl
P2093
P1476
Experience-based quality control of clinical intensity-modulated radiotherapy planning.
@en
P2093
Daniel A Low
Kevin L Moore
R Scott Brame
Sasa Mutic
P304
P356
10.1016/J.IJROBP.2010.11.030
P407
P577
2011-01-27T00:00:00Z