Mallory E Carson1, Andrea Molineu2, Paige A Taylor2, David S Followill2, Francesco C Stingo3, Stephen F Kry2. 1. Graduate School of Biomedical Sciences, The University of Texas Health Science Center at Houston, Houston, Texas 77030. 2. IROC Houston Quality Assurance Center, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030. 3. Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030.
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.
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.
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
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
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
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
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
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
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
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
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
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
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
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
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