Evidence map›Paper›PMID 38536632›Full record

ArticlePhysical and engineering sciences in medicine2024

Estimation of organ and effective doses of CBCT scans of radiotherapy using size-specific field of view (FOV): a Monte Carlo study.

Abdullah Abuhaimed, Huda Mujammami, Khaled AlEnazi, Ahmed Abanomy, Yazeed Alashban, Colin J Martin

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Physical and engineering sciences in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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 3 institutions in 2 countries.

Abdullah AbuhaimedKing Abdulaziz City for Science and Technology (KACST), P.O Box 6086, 11442, Riyadh, Saudi Arabia. aabuhaimed@kacst.edu.sa.ORCID http://orcid.org/0000-0003-4635-2047
Huda MujammamiRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, 4545, Riyadh, Saudi Arabia.
Khaled AlEnaziRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, 4545, Riyadh, Saudi Arabia.
Ahmed AbanomyRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, 4545, Riyadh, Saudi Arabia.
Yazeed AlashbanRadiological Sciences Department, College of Applied Medical Sciences, King Saud University, P.O. Box 145111, 4545, Riyadh, Saudi Arabia.
Colin J MartinDepartment of Clinical Physics and Bio-Engineering, Gartnavel Royal Hospital, University of Glasgow, Glasgow, G12 8QQ, UK.
King Saud University · SAKing Abdulaziz City for Science and Technology · SAUniversity of Ulster · GB

Funding

King Saud University RSPD2024R780
6 · The paper itself

Abstract

The kV cone beam computed tomography (CBCT) is one of the most common imaging modalities used for image-guided radiation therapy (IGRT) procedures. Additional doses are delivered to patients, thus assessment and optimization of the imaging doses should be taken into consideration. This study aimed to investigate the influence of using fixed and patient-specific FOVs on the patient dose. Monte Carlo simulations were performed to simulate kV beams of the imaging system integrated into Truebeam linear accelerator using BEAMnrc code. Organ and size-specific effective doses resulting from chest and pelvis scanning protocols were estimated with DOSXYZnrc code using a phantom library developed by the National Cancer Institute (NCI) of the US. The library contains 193 (100 male and 93 female) mesh-type computational human adult phantoms, and it covers a large ratio of patient sizes with heights and weights ranging from 150 to 190 cm and 40 to 125 kg. The imaging doses were assessed using variable FOV of three sizes, small (S), medium (M), and large (L) for each scan region. The results show that the FOV and the patient size played a major role in the scan dose. The average percentage differences (PDs) for doses of organs that were fully inside the different FOVs were relatively low, all within 11% for both protocols. However, doses to organs that were scanned partially or near the FOVs were affected significantly. For the chest protocol, the inclusion of the thyroid in the scan field could give a dose of 1-7 mGy/100 mAs to the thyroid, compared to 0.4-1 mGy/100 mAs when it was excluded. Similarly, on average, testes doses could be 6 mGy/100 mAs for the male pelvis protocol compared to 3 mGy/100 mAs when it did not lie in the field irradiated. These dose differences resulted in an average increase of up to 27% in the size-specific effective dose of the protocols. Since changing the field size is possible for CBCT scans, the results suggest that patient-specific scanning protocols could be applied for each scan area in a manner similar to that used for CT scans. Adjustment of the FOV size should be subject to the clinical needs, and assist in improving the treatment accuracy. The patient's height and weight might be considered as the main factors upon which, the selection of the appropriate patient-specific protocol is based. This approach should optimize the imaging doses used for IGRT procedures by minimizing doses of a large ratio of patients.

Indexed as

Cone-Beam Computed TomographyMonte Carlo MethodPhantoms, ImagingAdultFemaleHumansMaleRadiation DosageRadiotherapy DosageRadiotherapy, Image-GuidedCone beam CT (CBCT)DosimetryField of view (FOV)Image-guided radiation therapy (IGRT)Monte Carlo simulations

Identifiers

PMID38536632
OpenAlexW4393222744

What OpenQuestion holds

Textmetadata
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.