Evidence map›Paper›PMID 35301607›Full record

ArticleEuropean radiology experimental2022

Influence of cellular models and individual factor in the biological response to chest CT scan exams.

Clément Devic, Larry Bodgi, Laurène Sonzogni, Frank Pilleul, Hervé Ribot, Charlotte De Charry, François Le Moigne, Didier Paul, Fanny Carbillet, Mélodie Munier and 1 more

Open access · goldAbstract read
In one paragraph

Article in European radiology experimental, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
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

11 authors at 4 institutions in 2 countries.

Clément DevicInstitut National de la Santé et de la Recherche Médicale, U1296, « Radiations: Defense, Health and Environment », Bât Cheney A 28 Rue Laennec Centre Léon-Bérard, 69008, Lyon, France.
Larry BodgiRadiation Oncology Department, American University of Beirut Medical Center, Beirut, 1107 2020, Lebanon.
Laurène SonzogniInstitut National de la Santé et de la Recherche Médicale, U1296, « Radiations: Defense, Health and Environment », Bât Cheney A 28 Rue Laennec Centre Léon-Bérard, 69008, Lyon, France.
Frank PilleulDépartement de Radiologie, Centre Léon Bérard, 28 rue Laennec, 69008, Lyon, France.
Hervé RibotService de Radiologie, Hôpital d'Instruction des Armées « Desgenettes », Boulevard Pinel, 69003, Lyon, France.
Charlotte De CharryService de Radiologie, Hôpital d'Instruction des Armées « Desgenettes », Boulevard Pinel, 69003, Lyon, France.
François Le MoigneService de Radiologie, Hôpital d'Instruction des Armées « Desgenettes », Boulevard Pinel, 69003, Lyon, France.
Didier PaulInstitut National de la Santé et de la Recherche Médicale, U1296, « Radiations: Defense, Health and Environment », Bât Cheney A 28 Rue Laennec Centre Léon-Bérard, 69008, Lyon, France.
Fanny CarbilletInstitut National de la Santé et de la Recherche Médicale, U1296, « Radiations: Defense, Health and Environment », Bât Cheney A 28 Rue Laennec Centre Léon-Bérard, 69008, Lyon, France.
Mélodie MunierInstitut National de la Santé et de la Recherche Médicale, U1296, « Radiations: Defense, Health and Environment », Bât Cheney A 28 Rue Laennec Centre Léon-Bérard, 69008, Lyon, France.
Nicolas ForayInstitut National de la Santé et de la Recherche Médicale, U1296, « Radiations: Defense, Health and Environment », Bât Cheney A 28 Rue Laennec Centre Léon-Bérard, 69008, Lyon, France. nicolas.foray@inserm.fr.ORCID http://orcid.org/0000-0002-1282-1303
Inserm · FRHôpital d'instruction des Armées Desgenettes · FRAmerican University of Beirut Medical Center · LBCentre Léon Bérard · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhile computed tomography (CT) exams are the major cause of medical exposure to ionising radiation, there is increasing evidence that the potential radiation-induced risks must be documented. We investigated the impact of cellular models and individual factor on the deoxyribonucleic acid double-strand breaks (DSB) recognition and repair in human fibroblasts and mammary epithelial cells exposed to current chest CT scan conditions.

methodTwelve human primary fibroblasts and four primary human mammary epithelial cell lines with different levels of radiosensitivity/susceptibility were exposed to a standard chest CT scan exam using adapted phantoms. Cells were exposed to a single helical irradiation (14.4 mGy) or to a topogram followed, after 1 min, by one single helical examination (1.1 mGy + 14.4 mGy). DSB signalling and repair was assessed through anti-γH2AX and anti-pATM immunofluorescence.

resultsChest CT scan induced a significant number of γH2AX and pATM foci. The kinetics of both biomarkers were found strongly dependent on the individual factor. The topogram may also influence the biological response of radiosensitive/susceptible fibroblasts to irradiation. Altogether, our findings show that a chest CT scan exam may result in 2 to 3 times more unrepaired DSB in cells from radiosensitive/susceptible patients.

conclusionsBoth individual and tissue factors in the recognition and repair of DSB after current CT scan exams are important. Further investigations are needed to better define the radiosensitivity/susceptibility of individual humans.

Indexed as

DNA Breaks, Double-StrandedHistonesAtaxia Telangiectasia Mutated ProteinsDNA RepairHumansTomography, X-Ray ComputedAtaxia Telangiectasia Mutated ProteinsHistonesDNA breaks (double-stranded)Genes (BRCA1/2)Li-Fraumeni syndromeNeurofibromatosis 1Radiobiology

Identifiers

PMID35301607
PMCPMC8931147
OpenAlexW4220714627

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.