Evidence map›Paper›PMID 31821573›Full record

ArticleMedical physics2020

Optical imaging method to quantify spatial dose variation due to the electron return effect in an MR-linac.

Jacqueline M Andreozzi, Petr Brůža, Jochen Cammin, Brian W Pogue, David J Gladstone, Olga Green

Abstract read
In one paragraph

Article in Medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Commissioning a secondary dose calculation software for a 0.35 T MR-linac.Journal of applied clinical medical physics · 2022
    Article
  6. Article
  7. Review
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 1 country.

Jacqueline M AndreozziThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Petr BrůžaThayer School of Engineering, Dartmouth College, Hanover, NH, 03755, USA.
Jochen CamminDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Brian W PogueThayer School of Engineering and Department of Physics and Astronomy, Dartmouth College, Hanover, NH, 03755, USA.
David J GladstoneNorris Cotton Cancer Center, Dartmouth-Hitchcock Medical Center, Lebanon, NH, 03756, USA.
Olga GreenDepartment of Radiation Oncology, Washington University School of Medicine, St. Louis, MO, 63110, USA.
Dartmouth College · USWashington University in St. Louis · US

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
OPTICAL CHERENKOV IMAGING DOSIMETRY IN HUMAN RADIOTHERAPYR01EB023909 · NIBIB · UNIVERSITY OF WISCONSIN-MADISON · PI GLADSTONE, DAVID J., JARVIS, LESLEY A · 2017 to 2024
$4.4M
Real-time Cherenkov imaging system for whole-breast radiotherapy verificationF31CA192473 · NCI · DARTMOUTH COLLEGE · PI ANDREOZZI, JACQUELINE · 2016 to 2017
$88k
NCI NIH HHS F31 CA192473NCI NIH HHS P30 CA023108NIBIB NIH HHS R01 EB023909NIH HHS F31 CA192473NIH HHS P30 CA 23108NIH HHS R01 EB023909
6 · The paper itself

Abstract

purposeTreatment planning systems (TPSs) for MR-linacs must employ Monte Carlo-based simulations of dose deposition to model the effects of the primary magnetic field on dose. However, the accuracy of these simulations, especially for areas of tissue-air interfaces where the electron return effect (ERE) is expected, is difficult to validate due to physical constraints and magnetic field compatibility of available detectors. This study employs a novel dosimetric method based on remotely captured, real-time optical Cherenkov and scintillation imaging to visualize and quantify the ERE.

methodsAn intensified CMOS camera was used to image two phantoms with designed ERE cavities. Phantom A was a 40 cm × 10 cm × 10 cm clear acrylic block drilled with five holes of increasing diameters (0.5, 1, 2, 3, 4 cm). Phantom B was a clear acrylic block (25 cm × 20 cm × 5 cm) with three cavities of increasing diameter (3, 2, 1 cm) split into two halves in the transverse plane to accommodate radiochromic film. Both phantoms were imaged while being irradiated by 6 MV flattening filter free (FFF) beams within a MRIdian Viewray (Viewray, Cleveland, OH) MR-linac (0.34 T primary field). Phantom A was imaged while being irradiated by 6 MV FFF beams on a conventional linac (TrueBeam, Varian Medical Systems, San Jose, CA) to serve as a control. Images were post processed in Matlab (Mathworks Inc., Natick, MA) and compared to TPS dose volumes.

resultsControl imaging of Phantom A without the presence of a magnetic field supports the validity of the optical image data to a depth of 6 cm. In the presence of the magnetic field, the optical data shows deviations from the commissioned TPS dose in both intensity and localization. The largest air cavity examined (3 cm) indicated the largest dose differences, which were above 20% at some locations. Experiments with Phantom B illustrated similar agreement between optical and film dosimetry comparisons with TPS data in areas not affected by ERE.

conclusionThere are some appreciable differences in dose intensity and spatial dose distribution observed between the novel experimental data set and the dose models produced by the current clinically implemented MR-IGRT TPS.

Indexed as

Computer SimulationElectronsHumansMagnetic FieldsMagnetic Resonance ImagingMonte Carlo MethodOptical ImagingParticle AcceleratorsPhantoms, ImagingRadiotherapy DosageCherenkovelectron return effectscintillation

Identifiers

PMID31821573
PMCPMC7112467
OpenAlexW2994689160

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.