Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans.
about
Is 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?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.An Automated Treatment Plan Quality Control Tool for Intensity-Modulated Radiation Therapy Using a Voxel-Weighting Factor-Based Re-Optimization Algorithm.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.Establishing the feasibility of the dosimetric compliance criteria of RTOG 1308: phase III randomized trial comparing overall survival after photon versus proton radiochemotherapy for inoperable stage II-IIIB NSCLCKnowledge-driven decision support for assessing dose distributions in radiation therapy of head and neck cancer.Incorporating single-side sparing in models for predicting parotid dose sparing in head and neck IMRT.RapidPlan head and neck model: the objectives and possible clinical benefit.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 centersSemiautomated head-and-neck IMRT planning using dose warping and scaling to robustly adapt plans in a knowledge database containing potentially suboptimal plans.Knowledge-based radiation therapy (KBRT) treatment planning versus planning by experts: validation of a KBRT algorithm for prostate cancer treatment planningEvaluating inter-campus plan consistency using a knowledge based planning modelModeling the dosimetry of organ-at-risk in head and neck IMRT planning: an intertechnique and interinstitutional study.Predicting liver SBRT eligibility and plan quality for VMAT and 4π plansAssessment of a model based optimization engine for volumetric modulated arc therapy for patients with advanced hepatocellular cancer.Interobserver variability in radiation therapy plan output: Results of a single-institution study.Standardized beam bouquets for lung IMRT planning.Atlas-guided prostate intensity modulated radiation therapy (IMRT) planning.Promoting the Appropriate Use of Advanced Radiation Technologies in Oncology: Summary of a National Cancer Policy Forum Workshop.Models for predicting objective function weights in prostate cancer IMRT.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.Iterative dataset optimization in automated planning: Implementation for breast and rectal cancer radiotherapy.Outlier identification in radiation therapy knowledge-based planning: A study of pelvic cases.Artificial intelligence will reduce the need for clinical medical physicists.Development and evaluation of a clinical model for lung cancer patients using stereotactic body radiotherapy (SBRT) within a knowledge-based algorithm for treatment planning.Automatic planning of head and neck treatment plans.Detailed evaluation of an automated approach to interactive optimization for volumetric modulated arc therapy plans.Automated VMAT planning for postoperative adjuvant treatment of advanced gastric cancer.An Ensemble Approach to Knowledge-Based Intensity-Modulated Radiation Therapy Planning.Patient feature based dosimetric Pareto front prediction in esophageal cancer radiotherapy.Creation of knowledge-based planning models intended for large scale distribution: Minimizing the effect of outlier plans.Evaluation of multiple institutions' models for knowledge-based planning of volumetric modulated arc therapy (VMAT) for prostate cancer.Quantitative comparison of automatic and manual IMRT optimization for prostate cancer: the benefits of DVH prediction.
P2860
Q33717005-92C70F5C-CA1C-43DA-9293-4FBFB960FA3FQ35607117-AC249FF3-04ED-405D-9EC4-BA91902E30ECQ35846257-9BE09714-F9CE-4B6F-85C5-D225CA52462CQ35874856-1E7C534F-EAD0-4FE5-A0BE-CC27A95EAA14Q35940849-7C2E5A7B-4335-49C0-8864-8D9815BA0567Q36377724-69A0083D-DDFF-4B8C-9ECB-692E96E6378CQ36866800-37ACD88C-6C54-4FCB-A119-3C58D64816FAQ38381389-900F3CCC-0B48-4A30-8D7E-A16406BEE560Q38634724-34F74A8D-5BAE-437B-A531-ED57BDB68E23Q38816399-35EFF0F6-1AEF-4D76-ABE7-ECD89B679271Q39254486-A95F9A60-D727-4117-A5F0-E42CF59C8B42Q40128435-AFFA42F4-F09D-4E0B-B9BB-30FA5B97C48DQ40370484-2378C361-C086-40A0-B167-D4BDC9762E56Q40670520-5EED1160-425C-41B7-83D1-21D61F0C8DCFQ40706704-37ED457C-FA4E-46C0-8C67-1E905DAE5BDCQ40968625-0D1E2A27-7AD9-44EF-A1E0-FBCB171F6DE6Q41833485-35B9C26D-28F7-43EF-99D4-0AE39AF48AC4Q41992922-9299CF81-2F90-4E42-8B01-CFF9D1E55A53Q42210918-12361CF4-BA75-4749-B90E-D4FC56C9CBF7Q42688881-593CCDF4-AC05-492B-B5DA-F41DE1C2E822Q43215842-4881FEB7-7D2D-4381-A620-5740031863A1Q43221898-E10820F0-2762-413B-9244-3EC0456E3D13Q45212989-0627BB4E-3D1B-4948-AACD-68632F5058EDQ45954684-B99595D2-489A-472E-8F07-C146F5B2D82DQ47321392-32691449-5471-46E5-A70C-914A031F4F5BQ47738654-331F829A-3C4A-4EEA-A4E5-9C3881C0AB83Q47916395-323FE66A-C688-49FF-AFEB-DD5973D116A5Q48571451-C22855D1-CEB1-4D9F-90A0-9921E1D4116BQ50048263-4DBC688B-6071-44D6-969F-F517B46A84FDQ50538147-6D2A751B-3200-46B3-8B77-CE2003173A70Q50709135-14238CD7-D7F5-4954-8278-6941BE9DE367Q50864932-810191EE-91F5-4C06-A94E-DBB305E84F7DQ52312337-57DE5ACB-F408-4D3E-AB84-205FA72C72DCQ52608420-F86E4D4A-D1BB-41AF-90E1-8392C2F186EFQ54218114-F8054B86-9E81-4253-8141-0AB37F052971Q55009258-526DD0BD-FD83-4060-AAEF-1F6FF98C01FFQ55339422-95F73B02-93E5-4871-87A0-7336987484D7Q55688437-E16A757A-08F9-4D71-B8AB-A528B6D2B0A8
P2860
Quantitative analysis of the factors which affect the interpatient organ-at-risk dose sparing variation in IMRT plans.
description
2012 nî lūn-bûn
@nan
2012年の論文
@ja
2012年学术文章
@wuu
2012年学术文章
@zh
2012年学术文章
@zh-cn
2012年学术文章
@zh-hans
2012年学术文章
@zh-my
2012年学术文章
@zh-sg
2012年學術文章
@yue
2012年學術文章
@zh-hant
name
Quantitative analysis of the f ...... aring variation in IMRT plans.
@en
Quantitative analysis of the f ...... aring variation in IMRT plans.
@nl
type
label
Quantitative analysis of the f ...... aring variation in IMRT plans.
@en
Quantitative analysis of the f ...... aring variation in IMRT plans.
@nl
prefLabel
Quantitative analysis of the f ...... aring variation in IMRT plans.
@en
Quantitative analysis of the f ...... aring variation in IMRT plans.
@nl
P2093
P2860
P356
P1433
P1476
Quantitative analysis of the f ...... aring variation in IMRT plans.
@en
P2093
Fang Fang Yin
Lulin Yuan
Q Jackie Wu
W Robert Lee
Yaorong Ge
P2860
P304
P356
10.1118/1.4757927
P407
P577
2012-11-01T00:00:00Z