Literature DB >> 30826481

Automated Closed- and Open-Loop Validation of Knowledge-Based Planning Routines Across Multiple Disease Sites.

Robert Kaderka1, Robert C Mundt1, Nan Li1, Benjamin Ziemer2, Victoria N Bry1, Mariel Cornell1, Kevin L Moore3.   

Abstract

PURPOSE: Knowledge-based planning (KBP) clinical implementation necessitates significant upfront effort, even within a single disease site. The purpose of this study was to demonstrate an efficient method for clinicians to assess the noninferiority of KBP across multiple disease sites and estimate any systematic dosimetric differences after implementation. We sought to establish these endpoints in a plurality of previously treated patients (validation set) with both closed-loop (training set overlapping validation set) and open-loop (independent training set) KBP routines. METHODS AND MATERIALS: We identified 53 prostate, 24 prostatic fossa, 54 hypofractionated lung, and 52 head and neck patients treated with volumetric modulated arc therapy in the year directly preceding our clinic's broad adoption of RapidPlan (Varian Medical Systems, Palo Alto, CA). Using the Varian Eclipse Scripting API, our program takes as input a list of patients, then performs semiautomated structure matching, fully automated RapidPlan-driven optimization, and plan comparison. All plans were normalized to the planning target volume (PTV) D95% = 100%. Dose metric differences (ΔDx = Dx,clinical - Dx,KBP) were computed for standard PTV and organ-at-risk (OAR) dose-volume histogram parameters across disease sites. A 2-tailed paired t test quantified statistical significance (P < .001).
RESULTS: Statistically significant organ dose-volume histogram improvements were observed in the KBP cohort: the rectum, bladder, and penile bulb in prostate/prostatic fossa; and the larynx, esophagus, cricopharyngeus, parotid glands, and cochlea in head and neck. No OAR dose metric was statistically worse in any KBP sample. PTV ΔD1% increases in prostatic fossa were deemed acceptable given organ-sparing gains. PTV ΔD1% and internal target volume ΔD99% increase for the lung was by design owing to the prescription normalization variance in the pre-KBP lung sample.
CONCLUSIONS: Our automated method showed multiple disease sites' KBP routines to be noninferior to manual planning, with statistically significant superiority in some aspects of OAR sparing. This method is applicable to any institution implementing either closed-loop or open-loop KBP autoplanning routines.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Year:  2019        PMID: 30826481     DOI: 10.1016/j.prro.2019.02.010

Source DB:  PubMed          Journal:  Pract Radiat Oncol        ISSN: 1879-8500


  4 in total

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Authors:  Brent M Covele; Kartikeya S Puri; Karoline Kallis; James D Murphy; Kevin L Moore
Journal:  JCO Clin Cancer Inform       Date:  2021-01

2.  Integration of automation into an existing clinical workflow to improve efficiency and reduce errors in the manual treatment planning process for total body irradiation (TBI).

Authors:  David H Thomas; Brian Miller; Rachel Rabinovitch; Sarah Milgrom; Brian Kavanagh; Quentin Diot; Moyed Miften; Leah K Schubert
Journal:  J Appl Clin Med Phys       Date:  2020-05-19       Impact factor: 2.102

3.  A practical method to quantify knowledge-based DVH prediction accuracy and uncertainty with reference cohorts.

Authors:  Brent M Covele; Cody J Carroll; Kevin L Moore
Journal:  J Appl Clin Med Phys       Date:  2021-02-26       Impact factor: 2.102

4.  Prospects for daily online adaptive radiotherapy via ethos for prostate cancer patients without nodal involvement using unedited CBCT auto-segmentation.

Authors:  Mojtaba Moazzezi; Brent Rose; Kelly Kisling; Kevin L Moore; Xenia Ray
Journal:  J Appl Clin Med Phys       Date:  2021-08-25       Impact factor: 2.102

  4 in total

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