Evidence map›Paper›PMID 36819217›Full record

ArticlePolish journal of radiology2023

Congenital lung malformations: can we avoid computed tomography? A five-year study.

Filomena Carfagnini, Donatella Vivacqua, Michelangelo Baldazzi, Laura Marcolin, Stefano Giusto Picchi, Giulia Lassandro, Igino Simonetti, Piero Trovato, Giuliana Giacobbe, Antonio Corvino and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2023. 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
0.6field-weighted citation impact, top 33% 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

11 authors at 6 institutions in 1 country.

Filomena CarfagniniRadiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant'Orsola Hospital, University of Bologna, Bologna, Italy.
Donatella VivacquaRadiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant'Orsola Hospital, University of Bologna, Bologna, Italy.
Michelangelo BaldazziRadiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant'Orsola Hospital, University of Bologna, Bologna, Italy.
Laura MarcolinRadiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant'Orsola Hospital, University of Bologna, Bologna, Italy.
Stefano Giusto PicchiGeneral and Interventional Radiology, Diagnostic Imaging Department, Oncological Radiotherapy and Haematology, Diagnostic Imaging Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Giulia LassandroGeneral and Interventional Radiology, Diagnostic Imaging Department, Oncological Radiotherapy and Haematology, Diagnostic Imaging Area, Fondazione Policlinico Universitario A. Gemelli IRCCS, Rome, Italy.
Igino SimonettiRadiology Division, "Istituto Nazionale Tumori - IRCCS - Fondazione G. Pascale, Napoli, Italia", Naples, Italy.
Piero TrovatoRadiology Unit, "Santa Maria delle Grazie" Hospital, Pozzuoli, Italy.
Giuliana GiacobbeDepartment of Precision Medicine, University of Campania "L. Vanvitelli", Naples, Italy.
Antonio CorvinoMovement Sciences and Wellbeing Department, University of Naples "Parthenope", Naples, Italy.
Laura GrecoRadiology Unit, Department of Experimental, Diagnostic and Speciality Medicine, Sant'Orsola Hospital, University of Bologna, Bologna, Italy.
University of Bologna · ITAgostino Gemelli University Polyclinic · ITIstituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · ITOspedale Santa Maria · ITParthenope University of Naples · ITUniversity of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Congenital lung malformations (CLMs) consist of a variety of pulmonary development disorders. In the CLM approach, computed tomography (CT) is considered the gold standard imaging technique due to the high-resolution for the lung parenchyma evaluation, the study of the vascular system after contrast injection, and the multiplanar reconstructions. In the paediatric population CT is considered too invasive due to ionizing radiation and the use of contrast agent. Therefore, the indications for the use of magnetic resonance imaging (MRI) are increasing. The aim of our study is to compare retrospectively MRI and CT in the evaluation of CLMs, to reduce or avoid the use of contrast-enhanced CT in the paediatric population. Material and methods: We retrospectively evaluated 22 paediatric patients with prenatal diagnosis of CLMs. All the patients underwent postnatal MRI in the first 2 weeks of life (except for a patient) and pre-surgery contrast-enhanced CT. A total of 7 blinded radiologists divided into 3 different groups independently reviewed each MRI and CT examination. Sensitivity and specificity of radiologists with different years of experience on the field, as well as of MRI findings regarding every pathology, were evaluated using a ROC curve. The interobserver agreement regarding the MRI findings was also measured. Results: Analysing the ROC curves, we observed that MRI provided a satisfactory accuracy for diagnosing most congenital pulmonary diseases. Conclusions: Our study showed that MRI without contrast agent allows us to reach a CLM diagnosis in good agreement with contrast-enhanced CT, which is considered the gold standard imaging technique.

Indexed as

bronchopulmonary sequestrationcomputed tomographycontrast mediainfantlung diseasesmagnetic resonance imaging

Identifiers

PMID36819217
PMCPMC9907164
OpenAlexW4315646933

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.