Evidence map›Paper›PMID 31144074›Full record

ArticleEuropean radiology2019

Local clinical diagnostic reference levels for chest and abdomen CT examinations in adults as a function of body mass index and clinical indication: a prospective multicenter study.

Hugues Brat, Federica Zanca, Stéphane Montandon, Damien Racine, Benoit Rizk, Eric Meicher, Dominique Fournier

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 44 citations in OpenAlex.

  1. Pooled it
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  15. Recent updates in radioprotection.European radiology · 2021
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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

7 authors at 2 institutions in 1 country.

Hugues BratInstitut de Radiologie de Sion, Groupe 3R, Sion, Switzerland. hugues.brat@groupe3r.ch.ORCID http://orcid.org/0000-0001-9708-5511
Federica ZancaGE Healthcare, Buc, France.ORCID http://orcid.org/0000-0001-9340-5098
Stéphane MontandonPhilips Healthcare, Gland, Switzerland.
Damien RacineInstitute of Radiation Physics (IRA), Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.
Benoit RizkInstitut de Radiologie de Sion, Groupe 3R, Sion, Switzerland.
Eric MeicherInstitut de Radiologie de Sion, Groupe 3R, Sion, Switzerland.
Dominique FournierInstitut de Radiologie de Sion, Groupe 3R, Sion, Switzerland.
Institut de Recherche en Réadaptation-Réinsertion · CHUniversity of Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo compare institutional dose levels based on clinical indication and BMI class to anatomy-based national DRLs (NDRLs) in chest and abdomen CT examinations and to assess local clinical diagnostic reference levels (LCDRLs).

methodsFrom February 2017 to June 2018, after protocol optimization according to clinical indication and body mass index (BMI) class (< 25; ≥ 25), 5310 abdomen and 1058 chest CT series were collected from 5 CT scanners in a Swiss multicenter group. Clinical indication-based institutional dose levels were compared to the Swiss anatomy-based NDRLs. Statistical significance was assessed (p < 0.05). LCDRLs were calculated as the third quartile of the median dose values for each CT scanner.

resultsFor chest examinations, dose metrics based on clinical indication were always below P75 NDRL for CTDI

conclusionThe results suggest the necessity of estimating clinical indication-based DRLs, especially for abdomen examinations. Stratifying per BMI class allows further optimization of the CT doses. KEY POINTS: • Our data show that clinical indication-based DRLs might be more appropriate than anatomy-based DRLs and might help in reducing large variations in dose levels for the same type of examinations. • Stratifying the data per patient-size subgroups (non-overweight, overweight) allows a better optimization of CT doses and therefore the possibility to set LCDRLs based on BMI class. • Institutions who are fostering continuous dose optimization and LDRLs should consider defining protocols based on clinical indication and BMI group, to achieve ALARA.

Indexed as

Body Mass IndexRadiation DosageAbdomenAdolescentAdultAgedAged, 80 and overFemaleHumansMaleMiddle AgedPhysical ExaminationProspective StudiesRadiography, AbdominalRadiography, ThoracicReference ValuesClinical protocolsHealth careMultidetector computed tomographyRadiometry

Identifiers

PMID31144074
OpenAlexW2947635482

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.