Evidence map›Paper›PMID 38185693›Full record

ArticleRadiation and environmental biophysics2024

Evaluation of organ dose using size-specific dose estimation (SSDE) and related cancer risk due to chest CT scan during the COVID-19 pandemic.

Mostafa Robatjazi, Mahdis Moayed, Hamid Reza Baghani, Mikaeil Molazadeh, Nematullah Shomoossi

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Article in Radiation and environmental biophysics, 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
1.4field-weighted citation impact, top 17% 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, 5 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

5 authors at 3 institutions in 1 country.

Mostafa RobatjaziDepartment of Medical Physics and Radiological Sciences, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Mahdis MoayedDepartment of Medical Physics and Radiological Sciences, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Hamid Reza BaghaniDepartment of Physics, Hakim Sabzevari University, Sabzevar, Iran. Hamidreza.baghani@gmail.com.
Mikaeil MolazadehDepartment of Medical Physics, Tabriz University of Medical Sciences, Tabriz, Iran.
Nematullah ShomoossiSchool of Medicine, Sabzevar University of Medical Sciences, Sabzevar, Iran.
Sabzevar University of Medical Sciences · IRHakim Sabzevari University · IRTabriz University of Medical Sciences · IR

Funding

Sabzevar University of Medical Sciences 400151
6 · The paper itself

Abstract

This study aimed to estimate lung and breast doses for individual patients using the size-specific dose estimate (SSDE) method, as well as calculating effective doses, in patients who underwent chest CT scans during the COVID-19 pandemic. Cancer risk incidence was estimated using excess relative risk (ERR), excess absolute risk (EAR), and lifetime attributable risk (LAR) models from the Biological Effects of Ionizing Radiation Report VII (BEIR-VII). Data from about 570 patients who underwent CT scans for COVID-19 screening were utilized for this study. Using the header of the CT images in a Python script, SSDE and effective dose were calculated for each patient. The SSDE obtained by water equivalent effective diameter (wSSDE) was considered as lung and breast dose, and applied in organ-specific cancer risk estimation. The mean wSSDE value for females (13.3 mGy) was slightly higher than that for males (13.1 mGy), but the difference was not statistically significant (P value = 0.41). No significant differences were observed between males and females in terms of calculated EAR and ERR for lung cancer at 5 and 30 years after exposure (P value = 0.47, 0.46, respectively). Similarly, there was no significant difference in lung cancer LAR values between females and males (P value = 0.48). The results also indicated a decrease in LAR values for both lung and breast cancers with increasing exposure age. In accordance with the ALARA (as low as reasonably achievable) principle, it is important for medical staff and the general public to consider the benefits of CT imaging in detecting such infections. Additionally, imaging medical physicists and CT scan experts should optimize imaging protocols and strike a balance between image quality for detecting abnormalities and radiation dose, all while adhering to the ALARA principle.

Indexed as

Breast NeoplasmsCOVID-19Lung NeoplasmsFemaleHumansMalePandemicsRadiation DosageRisk FactorsTomography, X-Ray ComputedCancer riskCOVID-19CT scanEffective doseOrgan doseSSDE

Identifiers

PMID38185693
OpenAlexW4390651728

What OpenQuestion holds

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Registered trials

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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.