Comparing treatment uncertainty for ultra- vs. standard-hypofractionated breast radiation therapy based on in-vivo dosimetry

Fiagan, Y.A.C.; Bossuyt, E.; Machiels, Mélanie; Nevens, Daan; Billiet, Charlotte; Poortmans, Philip; Gevaert, Thierry; Verellen, Dirk

doi:10.1016/j.phro.2022.05.003

Cited by 10 publications

(6 citation statements)

References 35 publications

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“…There is only a very small difference in patient positioning problems between the first and the second year, so it’s likely to be the introduction of the 5-fraction scheme in the second year that caused the decrease. Also a retrospective study has been conducted [31] comparing 2 groups of 203 breast cancer patients, one group treated with 5 fractions with daily pre-treatment imaging in 2020, the other group treated in 2019 with 15 fractions. To investigate the influence of the daily imaging, a subgroup was created with the results of the fractions of 15fx-group, after pre-treatment imaging.…”

Section: Discussionmentioning

confidence: 99%

“…Comparison with the subgroup receiving online imaging showed almost no difference though, indicating the daily online IGRT correction protocol is the main cause of the difference between the 2 groups. Also, the difference in breast swelling as a cause disappeared, indicating that using pre-treatment imaging leading to more accurate positioning, could also bring swollen breasts back within constraints [31] .…”

Section: Discussionmentioning

confidence: 99%

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Assessing the impact of adaptations to the clinical workflow in radiotherapy using transit in vivo dosimetry

Bossuyt

Nevens²,

Weytjens³

et al. 2023

Physics and Imaging in Radiation Oncology

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Assessing the impact of adaptations to the clinical workflow in radiotherapy using transit in vivo dosimetry

Bossuyt

Nevens²,

Weytjens³

et al. 2023

Physics and Imaging in Radiation Oncology

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“…For the IMRT dose validation, first, we analyzed MLC characterization using seven sweeping-gap fields (2,4,6,10,14,16, and 20 mm) and a closed MLC field to measure MLC transmission. In both cases the jaws were set to a 10 × 10 cm 2 field.…”

Section: Validation Fieldsmentioning

confidence: 99%

“…Nevertheless, this method is time‐consuming 2 and uncertainties related to the detector positioning and dose‐rate response reduce their utility in modulated plans 3 . To go beyond the bounds of point dosimeter limitations, the use of transit dosimetry is spreading 2,4–9 . Transit dosimetry is based on the transit images formed by the radiation reaching the electronic portal imaging device (EPID), through the patient, during field irradiation.…”

Section: Introductionmentioning

confidence: 99%

Validation of an in vivo transit dosimetry algorithm using Monte Carlo simulations and ionization chamber measurements

Sánchez‐Artuñedo,

Pié‐Padró,

Hermida‐López

et al. 2023

J Applied Clin Med Phys

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PurposeTransit dosimetry is a safety tool based on the transit images acquired during treatment. Forward‐projection transit dosimetry software, as PerFRACTION, compares the transit images acquired with an expected image calculated from the DICOM plan, the CT, and the structure set. This work aims to validate PerFRACTION expected transit dose using PRIMO Monte Carlo simulations and ionization chamber measurements, and propose a methodology based on MPPG5a report.MethodsThe validation process was divided into three groups of tests according to MPPG5a: basic dose validation, IMRT dose validation, and heterogeneity correction validation. For the basic dose validation, the fields used were the nine fields needed to calibrate PerFRACTION and three jaws‐defined. For the IMRT dose validation, seven sweeping gaps fields, the MLC transmission and 29 IMRT fields from 10 breast treatment plans were measured. For the heterogeneity validation, the transit dose of these fields was studied using three phantoms: 10 , 30 , and a 3 cm cork slab placed between 10 cm of solid water. The PerFRACTION expected doses were compared with PRIMO Monte Carlo simulation results and ionization chamber measurements.ResultsUsing the 10 cm solid water phantom, for the basic validation fields, the root mean square (RMS) of the difference between PerFRACTION and PRIMO simulations was 0.6%. In the IMRT fields, the RMS of the difference was 1.2%. When comparing respect ionization chamber measurements, the RMS of the difference was 1.0% both for the basic and the IMRT validation. The average passing rate with a γ(2%/2 mm, TH = 20%) criterion between PRIMO dose distribution and PerFRACTION expected dose was 96.0% ± 5.8%.ConclusionWe validated PerFRACTION calculated transit dose with PRIMO Monte Carlo and ionization chamber measurements adapting the methodology of the MMPG5a report. The methodology presented can be applied to validate other forward‐projection transit dosimetry software.

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“…In recent years, hypofractionated treatments and patient plan complexity have increased greatly. With fewer total treatment fractions for a course of therapy, the accuracy of each treatment delivery has more of an impact than ever [1] . The ability to monitor and readily adapt to a change in patient position during treatment without adding additional radiation exposure to the patient is the optimal method of delivering high quality treatments.…”

Section: Introductionmentioning

confidence: 99%

Clinical implementation of the first Cherenkov imaging system in a community-based hospital

Chen¹,

Pogue²,

Brůža³

et al. 2022

Technical Innovations & Patient Support in Radiation Oncolo

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Comparing treatment uncertainty for ultra- vs. standard-hypofractionated breast radiation therapy based on in-vivo dosimetry

Cited by 10 publications

References 35 publications

Assessing the impact of adaptations to the clinical workflow in radiotherapy using transit in vivo dosimetry

Assessing the impact of adaptations to the clinical workflow in radiotherapy using transit in vivo dosimetry

Validation of an in vivo transit dosimetry algorithm using Monte Carlo simulations and ionization chamber measurements

Clinical implementation of the first Cherenkov imaging system in a community-based hospital

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