Literature DB >> 27908168

Examining credentialing criteria and poor performance indicators for IROC Houston's anthropomorphic head and neck phantom.

Mallory E Carson1, Andrea Molineu2, Paige A Taylor2, David S Followill2, Francesco C Stingo3, Stephen F Kry2.   

Abstract

PURPOSE: To analyze the most recent results of the Imaging and Radiation Oncology Core Houston Quality Assurance Center's (IROC-H) anthropomorphic head and neck (H&N) phantom to determine the nature of failing irradiations and the feasibility of altering credentialing criteria.
METHODS: IROC-H's H&N phantom, used for intensity-modulated radiation therapy credentialing for National Cancer Institute-sponsored clinical trials, requires that an institution's treatment plan agrees within ±7% of measured thermoluminescent dosimeter (TLD) doses; it also requires that ≥85% of pixels pass ±4 mm distance to agreement (7%/4 mm gamma analysis for film). The authors re-evaluated 156 phantom irradiations (November 1, 2014-October 31, 2015) according to the following tighter criteria: (1) 5% TLD and 5%/4 mm, (2) 5% TLD and 5%/3 mm, (3) 4% TLD and 4%/4 mm, and (4) 3% TLD and 3%/3 mm. Failure rates were evaluated with respect to individual film and TLD performance by location in the phantom. Overall poor phantom results were characterized qualitatively as systematic errors (correct shape and position but wrong magnitude of dose), setup errors/positional shifts, global but nonsystematic errors, and errors affecting only a local region.
RESULTS: The pass rate for these phantoms using current criteria was 90%. Substituting criteria 1-4 reduced the overall pass rate to 77%, 70%, 63%, and 37%, respectively. Statistical analyses indicated that the probability of noise-induced TLD failure, even at the 5% criterion, was <0.5%. Phantom failures were generally identified by TLD (≥66% failed TLD, whereas ≥55% failed film), with most failures occurring in the primary planning target volume (≥77% of cases). Results failing current criteria or criteria 1 were primarily diagnosed as systematic >58% of the time (11/16 and 21/36 cases, respectively), with a greater extent due to underdosing. Setup/positioning errors were seen in 11%-13% of all failing cases (2/16 and 4/36 cases, respectively). Local errors (8/36 cases) could only be demonstrated at criteria 1. Only three cases of global errors were identified in these analyses. For current criteria and criteria 1, irradiations that failed from film only were overwhelmingly associated with phantom shifts/setup errors (≥80% of cases).
CONCLUSIONS: This study highlighted that the majority of phantom failures are the result of systematic dosimetric discrepancies between the treatment planning system and the delivered dose. Further work is necessary to diagnose and resolve such dosimetric inaccuracy. In addition, the authors found that 5% TLD and 5%/4 mm gamma criteria may be both practically and theoretically achievable as an alternative to current criteria.

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Year:  2016        PMID: 27908168      PMCID: PMC5106427          DOI: 10.1118/1.4967344

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  16 in total

1.  Uncertainty analysis of absorbed dose calculations from thermoluminescence dosimeters.

Authors:  T H Kirby; W F Hanson; D A Johnston
Journal:  Med Phys       Date:  1992 Nov-Dec       Impact factor: 4.071

2.  Evaluating IMRT and VMAT dose accuracy: practical examples of failure to detect systematic errors when applying a commonly used metric and action levels.

Authors:  Benjamin E Nelms; Maria F Chan; Geneviève Jarry; Matthieu Lemire; John Lowden; Carnell Hampton; Vladimir Feygelman
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

3.  Per-beam, planar IMRT QA passing rates do not predict clinically relevant patient dose errors.

Authors:  Benjamin E Nelms; Heming Zhen; Wolfgang A Tomé
Journal:  Med Phys       Date:  2011-02       Impact factor: 4.071

4.  Mailable TLD system for photon and electron therapy beams.

Authors:  T H Kirby; W F Hanson; R J Gastorf; C H Chu; R J Shalek
Journal:  Int J Radiat Oncol Biol Phys       Date:  1986-02       Impact factor: 7.038

5.  Independent evaluations of IMRT through the use of an anthropomorphic phantom.

Authors:  Geoffrey S Ibbott; Andrea Molineu; David S Followill
Journal:  Technol Cancer Res Treat       Date:  2006-10

6.  Toward optimizing patient-specific IMRT QA techniques in the accurate detection of dosimetrically acceptable and unacceptable patient plans.

Authors:  Elizabeth M McKenzie; Peter A Balter; Francesco C Stingo; Jimmy Jones; David S Followill; Stephen F Kry
Journal:  Med Phys       Date:  2014-12       Impact factor: 4.071

7.  Patient-specific point dose measurement for IMRT monitor unit verification.

Authors:  Lei Dong; John Antolak; Mohammad Salehpour; Kenneth Forster; Laura O'Neill; Robin Kendall; Isaac Rosen
Journal:  Int J Radiat Oncol Biol Phys       Date:  2003-07-01       Impact factor: 7.038

8.  Agreement Between Institutional Measurements and Treatment Planning System Calculations for Basic Dosimetric Parameters as Measured by the Imaging and Radiation Oncology Core-Houston.

Authors:  James R Kerns; David S Followill; Jessica Lowenstein; Andrea Molineu; Paola Alvarez; Paige A Taylor; Stephen F Kry
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-04-02       Impact factor: 7.038

9.  On the sensitivity of TG-119 and IROC credentialing to TPS commissioning errors.

Authors:  Drew McVicker; Fang-Fang Yin; Justus D Adamson
Journal:  J Appl Clin Med Phys       Date:  2016-01-08       Impact factor: 2.102

10.  The Radiological Physics Center's standard dataset for small field size output factors.

Authors:  David S Followill; Stephen F Kry; Lihong Qin; Jessica Lowenstein; Andrea Molineu; Paola Alvarez; Jose Francisco Aguirre; Geoffrey S Ibbott
Journal:  J Appl Clin Med Phys       Date:  2012-08-08       Impact factor: 2.102

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  19 in total

1.  Treatment plan complexity does not predict IROC Houston anthropomorphic head and neck phantom performance.

Authors:  Mallory C Glenn; Victor Hernandez; Jordi Saez; David S Followill; Rebecca M Howell; Julianne M Pollard-Larkin; Shouhao Zhou; Stephen F Kry
Journal:  Phys Med Biol       Date:  2018-10-17       Impact factor: 3.609

2.  Credentialing of radiotherapy centres in Australasia for TROG 09.02 (Chisel), a Phase III clinical trial on stereotactic ablative body radiotherapy of early stage lung cancer.

Authors:  Tomas Kron; Brent Chesson; Nicholas Hardcastle; Melissa Crain; Natalie Clements; Mark Burns; David Ball
Journal:  Br J Radiol       Date:  2018-03-06       Impact factor: 3.039

3.  Dose calculation errors as a component of failing IROC lung and spine phantom irradiations.

Authors:  Sharbacha S Edward; Mallory C Glenn; Christine B Peterson; Peter A Balter; Julianne M Pollard-Larkin; Rebecca M Howell; David S Followill; Stephen F Kry
Journal:  Med Phys       Date:  2020-06-23       Impact factor: 4.071

4.  The radiotherapy quality assurance gap among phase III cancer clinical trials.

Authors:  Kelsey L Corrigan; Stephen Kry; Rebecca M Howell; Ramez Kouzy; Joseph Abi Jaoude; Roshal R Patel; Anuja Jhingran; Cullen Taniguchi; Albert C Koong; Mary Fran McAleer; Paige Nitsch; Claus Rödel; Emmanouil Fokas; Bruce D Minsky; Prajnan Das; C David Fuller; Ethan B Ludmir
Journal:  Radiother Oncol       Date:  2021-11-25       Impact factor: 6.280

5.  Treatment Planning System Calculation Errors Are Present in Most Imaging and Radiation Oncology Core-Houston Phantom Failures.

Authors:  James R Kerns; Francesco Stingo; David S Followill; Rebecca M Howell; Adam Melancon; Stephen F Kry
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-04-04       Impact factor: 7.038

Review 6.  The Importance of Imaging in Radiation Oncology for National Clinical Trials Network Protocols.

Authors:  Thomas J FitzGerald; Maryann Bishop-Jodoin; Fran Laurie; Elizabeth O'Meara; Christine Davis; Jeffrey Bogart; John Kalapurakal; Marilyn J Siegel; Bapsi Chakravarthy; Paul Okunieff; Bruce Haffty; Jeff Michalski; Kenneth Ulin; David S Followill; Stephen Kry; Michael Knopp; Jun Zhang; Don Rosen; Mark Rosen; Ying Xiao; Lawrence Schwartz; Janaki Moni; Maria Giulia Cicchetti
Journal:  Int J Radiat Oncol Biol Phys       Date:  2018-10-18       Impact factor: 7.038

7.  Radiation Therapy Deficiencies Identified During On-Site Dosimetry Visits by the Imaging and Radiation Oncology Core Houston Quality Assurance Center.

Authors:  Stephen F Kry; Lainy Dromgoole; Paola Alvarez; Jessica Leif; Andrea Molineu; Paige Taylor; David S Followill
Journal:  Int J Radiat Oncol Biol Phys       Date:  2017-08-24       Impact factor: 7.038

8.  Reference dataset of users' photon beam modeling parameters for the Eclipse, Pinnacle, and RayStation treatment planning systems.

Authors:  Mallory C Glenn; Christine B Peterson; David S Followill; Rebecca M Howell; Julianne M Pollard-Larkin; Stephen F Kry
Journal:  Med Phys       Date:  2019-11-15       Impact factor: 4.071

9.  Survey results of 3D-CRT and IMRT quality assurance practice.

Authors:  Hunter Mehrens; Paige Taylor; David S Followill; Stephen F Kry
Journal:  J Appl Clin Med Phys       Date:  2020-04-30       Impact factor: 2.102

10.  Equivalency of beam scan data collection using a 1D tank and automated couch movements to traditional 3D tank measurements.

Authors:  Nels C Knutson; Matthew C Schmidt; Matthew D Belley; Ngoc Nguyen; Michael Price; Sasa Mutic; Erno Sajo; H Harold Li
Journal:  J Appl Clin Med Phys       Date:  2018-09-06       Impact factor: 2.102

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