Evidence map›Paper›PMID 31309360›Full record

ArticleEuropean radiology experimental2019

Analysis of a multicentre cloud-based CT dosimetric database: preliminary results.

Francesca Calderoni, Federica Campanaro, Paola Enrica Colombo, Mauro Campoleoni, Cristina De Mattia, Federica Rottoli, Giannicola Galetta, Fabio Zucconi, Andrea Pola, Andrea Righini and 3 more

Open access · goldAbstract readMulticenter Study
In one paragraph

Article in European radiology experimental, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

13 authors at 5 institutions in 1 country.

Francesca CalderoniDepartment of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Federica CampanaroDepartment of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Paola Enrica ColomboDepartment of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Mauro CampoleoniMedical Physics Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122, Milan, Italy.
Cristina De MattiaDepartment of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Federica RottoliDepartment of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Giannicola GalettaMedical Physics, ASST Fatebenefratelli Sacco, via G.B. Grassi 74, 20157, Milan, Italy.
Fabio ZucconiMedical Physics, ASST Fatebenefratelli Sacco, via G.B. Grassi 74, 20157, Milan, Italy.
Andrea PolaDepartment of Energy, Politecnico di Milano, via La Masa 34, 20156, Milan, Italy.
Andrea RighiniPediatric Radiology and Neuroradiology Unit, Children's Hospital V. Buzzi, Via Castelvetro 32, 20154, Milan, Italy.
Fabio TriulziDepartment of Neuroradiology, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Via Pace 9, 20122, Milan, Italy.
Angelo VanzulliDepartment of Radiology, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy. angelo.vanzulli@ospedaleniguarda.it.ORCID 0000-0002-2452-3370
Alberto TorresinDepartment of Medical Physics, ASST Grande Ospedale Metropolitano Niguarda, Piazza Ospedale Maggiore 3, 20162, Milan, Italy.
Ospedale Maggiore · ITASST Fatebenefratelli Sacco · ITFondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITOspedale dei Bambini Vittore Buzzi · ITPolitecnico di Milano · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo manage and analyse dosimetric data provided by computed tomography (CT) scanners from four Italian hospitals.

methodsA radiation dose index monitoring (RDIM) software was used to collect anonymised exams stored in a cloud server. Since hospitals use different names for the same procedure, digital imaging and communications in medicine (DICOM) tags more appropriate to describe exams were selected and associated to study common names (SCNs) from a radiology playbook according to scan region and use of contrast media. Retrospective analysis was carried out to describe population and to evaluate dosimetric indexes and inaccuracies associated with SCNs.

resultsMore than 400 procedures were clustered into 95 SCNs, but 78% of exams on adults were described with only 10 SCNs. Median values of dose-length product (DLP) and volumetric CT dose index (CTDI

conclusionsImplementation of a cloud-based RDIM software and related issues were described, showing the strength of the chosen playbook-based clustering and its usefulness for homogeneous data analysis. This approach may allow for optimisation actions, accurate assessment of the risk associated with radiation exposure, comparison of different facilities, and, last but not least, collection of information for the implementation of the 2013/59 Euratom Directive.

Indexed as

Cloud ComputingDatabases, FactualRadiation DosageTomography, X-Ray ComputedHumansItalyRetrospective StudiesRadiation dosageRadiation dose index monitoring softwareRadiation exposureSoftwareTomography scanners (x-ray computed)

Identifiers

PMID31309360
PMCPMC6629733
OpenAlexW2962480316

What OpenQuestion holds

Textmetadata
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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.