Highly Efficient Training, Refinement, and Validation of A Knowledge-Based Plan Quality Control System for Radiotherapy Clinical Trials
In this work we developed a highly efficient method to train, refine, and validate a KBP system automated planning system. The final KBP routine showed improved normal tissue sparing across both training and validation samples, and will be incorporated as an automated QC system in future cervical cancer clinical trials.
Li et al., International Journal of Radiation Oncology • Biology • Physics (2016), doi: 10.1016/j.ijrobp.2016.10.005.
3D knowledge-based dose prediction with artificial neural network
This article describes the mathematical basis of 3D KBP and the initial clinical validation of the technique. Initial treatment site validation in prostate and stereotactic radiosurgery.
Shiraishi and Moore, Med. Phys. 43, 378 (2016)
Sub-optimal planning puts patients at excess risk of complication
This article describes the use of knowledge-based planning to quantify the clinical costs of sub-optimal plan quality on RTOG 0126 (multi-institutional trial in prostate cancer).
Moore et al, IJROBP (92)2, 228-235 (2015)
Knowledge-based planning for vmat-based stereotactic radiosurgery
This article describes the development of a knolwedge-based planning framework for inverse-optimized linear accelerator-based stereotactic radiosurgery.
Shiraishi et al, Med. Phys. 42, 908 (2015)
AUTOMATED TREATMENT PLANNING WORKFLOW USING THE ECLIPSE SCRIPTING API
This article describes the use of the Eclipse application programming interface to automate the real-time planning and quality control of clinical treatment plans.
Olsen et al, Practical Radiation Oncology 4, 358-367 (2014)
knowledge-based prediction of dose-volume histograms for organs-at-risk
This article outlines the parametric modeling framework by which DVHs can be predicted for new patients based on previous optimized treatment plans.
Appenzoller et al, Med. Phys. 39, 7446-7461 (2012)
clinical implementation of KNOWLEDGE-BASED DVH PREDICTIONS IN IMRT PLANNING
This article describes the implementation of knowledge-based DVH prediction in the service of real-time IMRT planning and plan quality control.
Moore et al, Journal of Physics 489, 012155 (2014)
QUANTITATIVE METRICS FOR ASSESSING PLAN QUALITY
This review article outlines traditional metrics for plan quality assessment as well as methods of quantitative patient-specific treatment plan quality factors.
Moore et al, Sem. in Rad. Onc. 22, 62-69 (2012)
AUTOMATION AND ADVANCED COMPUTATION IN CLINICAL RADIATION ONCOLOGY
This Vision paper considers what computational advances are likely to be implemented in the coming years and how their adoption might alter the practice of radiotherapy.
Moore et al, Med. Phys. 41, 010901 (2014)
Experience-based quality control of clinical imrt planning
This article describes the clinical effect of implementing a real-time knowledge-based dose prediction system for IMRT planning.
Moore et al, IJROBP 81, 545-551 (2011)
A full list of Dr. Moore's publications can be found in his curriculum vitae.