SU-GG-T-131: A Linear Metric of Knowledge-Based IMRT Treatment Plan Quality for the Prostate

2010 ◽  
Vol 37 (6Part17) ◽  
pp. 3214-3214
Author(s):  
M S Freeman ◽  
V Chanyavanich ◽  
S K Das ◽  
J Y Lo
Keyword(s):  
Treatment Plan ◽  
Plan Quality ◽  
Knowledge Based ◽  
Imrt Treatment Plan

Evaluation of MLC leaf transmission on IMRT treatment plan quality of patients with advanced lung cancer

2018 ◽  
Vol 43 (4) ◽  
pp. 313-318 ◽  
Author(s):  
Jiayun Chen ◽  
Guishan Fu ◽  
Minghui Li ◽  
Yixin Song ◽  
Jianrong Dai ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Treatment Plan ◽  
Advanced Lung Cancer ◽  
Plan Quality ◽  
Imrt Treatment Plan

MO-D-105-05: A Novel Web-Based Tool for Quantification of VMAT/IMRT Treatment Plan Quality

2013 ◽  
Vol 40 (6Part23) ◽  
pp. 395-395
Author(s):  
M Fan ◽  
F DeBlois ◽  
K Sultanem ◽  
G Stroian
Keyword(s):  
Treatment Plan ◽  
Plan Quality ◽  
Web Based ◽  
Imrt Treatment Plan

Knowledge-based radiotherapy treatment planning

2015 ◽  
Author(s):  
◽  
Lindsey Appenzoller Olsen
Keyword(s):  
Quality Control ◽  
Treatment Planning ◽  
Treatment Plan ◽  
Radiotherapy Planning ◽  
Patient Specific ◽  
Plan Quality ◽  
Radiotherapy Treatment Planning ◽  
Knowledge Based ◽  
Knowledge Based Planning ◽  
Radiotherapy Treatment

[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT AUTHOR'S REQUEST.] Knowledge-based planning (KBP) has become a prominent area of research in radiation oncology in the last five years. The development of KBP aims to address the lack of systematic quality control and plan quality variability in radiotherapy treatment planning by providing achievable, patient-specific optimization objectives derived from a model trained with a cohort of previously treated, site-specific plans. This dissertation intended to develop, evaluate, and implement a knowledge-based planning system to reduce variability and improve radiotherapy treatment plan quality. The project aimed to 1) develop and validate an algorithm to train mathematical models that predict dose-volume histograms for organs at risk in radiotherapy planning, 2) implement the algorithm into a software application in order to transfer the technology into clinical practice, and 3) evaluate the impact of the software system (algorithm + application) on reducing variability and improving radiotherapy treatment plan quality through knowledge transfer. The presented work demonstrates that a KBP model is beneficial to radiotherapy planning. The developed models adequately describe what is dosimetrically achievable for patient specific anatomy and have proven useful in outlier detection for quality control of radiotherapy planning. The KBP paradigm has also demonstrated ability to improve treatment plan quality through benchmarking and transfer of knowledge between institutions.

scholarly journals PV-0175: Knowledge-based DVH predictions for automated individualised treatment plan quality assurance

2016 ◽  
Vol 119 ◽  
pp. S83-S84
Author(s):  
J. Tol ◽  
M. Dahele ◽  
A. Delaney ◽  
B. Slotman ◽  
W. Verbakel
Keyword(s):  
Quality Assurance ◽  
Treatment Plan ◽  
Plan Quality ◽  
Knowledge Based ◽  
Individualised Treatment

SU-E-T-38: An Overlap-Wall-Histogram Plan Quality Classifier for Automatic Prostate Cancer IMRT Treatment Plan Quality Control

2014 ◽  
Vol 41 (6Part11) ◽  
pp. 230-230
Author(s):  
T Song ◽  
Z Tian ◽  
X Jia ◽  
L Zhou ◽  
S Jiang ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Quality Control ◽  
Treatment Plan ◽  
Plan Quality ◽  
Imrt Treatment Plan

Patient geometry-driven information retrieval for IMRT treatment plan quality control

2009 ◽  
Vol 36 (12) ◽  
pp. 5497-5505 ◽  
Author(s):  
Binbin Wu ◽  
Francesco Ricchetti ◽  
Giuseppe Sanguineti ◽  
Misha Kazhdan ◽  
Patricio Simari ◽  
...  
Keyword(s):  
Quality Control ◽  
Information Retrieval ◽  
Treatment Plan ◽  
Plan Quality ◽  
Imrt Treatment Plan

scholarly journals Personalising treatment plan quality review with knowledge-based planning in the TROG 15.03 trial for stereotactic ablative body radiotherapy in primary kidney cancer

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Nicholas Hardcastle ◽  
Olivia Cook ◽  
Xenia Ray ◽  
Alisha Moore ◽  
Kevin L. Moore ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Real Time ◽  
Kidney Cancer ◽  
Treatment Plan ◽  
Plan Quality ◽  
Knowledge Based ◽  
Trade Offs ◽  
Stereotactic Ablative Body Radiotherapy ◽  
Knowledge Based Planning ◽  
Treatment Plans

Abstract Introduction Quality assurance (QA) of treatment plans in clinical trials improves protocol compliance and patient outcomes. Retrospective use of knowledge-based-planning (KBP) in clinical trials has demonstrated improved treatment plan quality and consistency. We report the results of prospective use of KBP for real-time QA of treatment plan quality in the TROG 15.03 FASTRACK II trial, which evaluates efficacy of stereotactic ablative body radiotherapy (SABR) for kidney cancer. Methods A KBP model was generated based on single institution data. For each patient in the KBP phase (open to the last 31 patients in the trial), the treating centre submitted treatment plans 7 days prior to treatment. A treatment plan was created by using the KBP model, which was compared with the submitted plan for each organ-at-risk (OAR) dose constraint. A report comparing each plan for each OAR constraint was provided to the submitting centre within 24 h of receiving the plan. The centre could then modify the plan based on the KBP report, or continue with the existing plan. Results Real-time feedback using KBP was provided in 24/31 cases. Consistent plan quality was in general achieved between KBP and the submitted plan. KBP review resulted in replan and improvement of OAR dosimetry in two patients. All centres indicated that the feedback was a useful QA check of their treatment plan. Conclusion KBP for real-time treatment plan review was feasible for 24/31 cases, and demonstrated ability to improve treatment plan quality in two cases. Challenges include integration of KBP feedback into clinical timelines, interpretation of KBP results with respect to clinical trade-offs, and determination of appropriate plan quality improvement criteria.

scholarly journals Knowledge-Based Model for the Evaluation of NRG-HN001 Radiotherapy Treatment Plan Quality

2019 ◽  
Vol 105 (1) ◽  
pp. E616
Author(s):  
H. Geng ◽  
T.G. Giaddui ◽  
M. Radden ◽  
N. Lee ◽  
P. Xia ◽  
...  
Keyword(s):  
Treatment Plan ◽  
Plan Quality ◽  
Knowledge Based ◽  
Radiotherapy Treatment
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