Evidence map›Paper›PMID 35321929›Full record

SynthesisEuropean respiratory review : an official journal of the European Respiratory Society2022

State-of-the-art review of lung imaging in cystic fibrosis with recommendations for pulmonologists and radiologists from the "iMAging managEment of cySTic fibROsis" (MAESTRO) consortium.

Pierluigi Ciet, Silvia Bertolo, Mirco Ros, Rosaria Casciaro, Marco Cipolli, Stefano Colagrande, Stefano Costa, Valeria Galici, Andrea Gramegna, Cecilia Lanza and 12 more

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in European respiratory review : an official journal of the European Respiratory Society, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
6.5field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Radiomics and Artificial Intelligence in Pulmonary Fibrosis.Journal of imaging informatics in medicine · 2025
    Review
  14. Best clinical practice for imaging in cystic fibrosis referral centers in Brazil: a Delphi consensus panel approach.Jornal brasileiro de pneumologia : publicacao oficial da Sociedade Brasileira de Pneumologia e Tisilogia · 2025
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Review
  20. Lung functional imaging.Breathe (Sheffield, England) · 2023
    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

22 authors at 11 institutions in 2 countries.

Pierluigi CietRadiology and Nuclear Medicine Dept, Erasmus MC, Rotterdam, The Netherlands p.ciet@erasmusmc.nl.
Silvia BertoloRadiology Dept, Ca'Foncello S. Maria Hospital, Treviso, Italy.
Mirco RosDept of Pediatrics, Ca'Foncello S. Maria Hospital, Treviso, Italy.
Rosaria CasciaroDept of Pediatrics, IRCCS Institute "Giannina Gaslini", Cystic Fibrosis Centre, Genoa, Italy.
Marco CipolliRegional Reference Cystic Fibrosis center, University hospital of Verona, Verona, Italy.
Stefano ColagrandeDept of Experimental and Clinical Biomedical Sciences, Radiodiagnostic Unit n. 2, University of Florence- Careggi Hospital, Florence, Italy.ORCID https://orcid.org/0000-0003-0137-8606
Stefano CostaDept of Pediatrics, Gaetano Martino Hospital, Messina, Italy.
Valeria GaliciCystic Fibrosis Centre, Dept of Paediatric Medicine, Anna Meyer Children's University Hospital, Florence, Italy.
Andrea GramegnaRespiratory Disease and Adult Cystic Fibrosis Centre, Internal Medicine Dept, IRCCS Ca' Granda, Milan, Italy.
Cecilia LanzaRadiology Dept, University Hospital Ospedali Riuniti, Ancona, Italy.
Francesca LuccaRegional Reference Cystic Fibrosis center, University hospital of Verona, Verona, Italy.
Letizia MacconiRadiology Dept, Tuscany Reference Cystic Fibrosis Centre, Meyer Children's Hospital, Florence, Italy.
Fabio MajoDept of Pediatrics, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.
Antonella PaciaroniRadiology Dept, "Santa Maria del Carmine" Hospital, Rovereto, Italy.
Giuseppe Fabio ParisiPediatric Pulmonology Unit, Dept of Clinical and Experimental Medicine, University of Catania, Catania, Italy.ORCID https://orcid.org/0000-0003-4291-0195
Francesca RizzoRadiology Dept, IRCCS Institute "Giannina Gaslini", Cystic Fibrosis Center, Genoa, Italy.
Ignazio SalamoneDept of Radiology, Gaetano Martino Hospital, Messina, Italy.
Teresa SantangeloDept of Radiology, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.
Luigia ScudellerClinical Epidemiology, IRCCS Azienda Ospedaliera Universitaria di Bologna, Bologna, Italy.ORCID https://orcid.org/0000-0001-7240-9567
Luca SabaDepts of Radiology and Medical Science, University of Cagliari, Cagliari, Italy.
Paolo TomàDept of Radiology, IRCCS Bambino Gesù Children's Hospital, Rome, Italy.ORCID https://orcid.org/0000-0002-0158-4760
Giovanni MoranaRadiology Dept, Ca'Foncello S. Maria Hospital, Treviso, Italy.ORCID https://orcid.org/0000-0003-3144-2963
Bambino Gesù Children's Hospital · ITCa' Foncello Hospital · ITIstituto Giannina Gaslini · ITMeyer Children's Hospital · ITUniversity of Cagliari · ITAzienda Ospedaliero Universitaria Ospedali Riuniti · ITAzienda USL di Bologna · ITOspedale Santa Maria · ITUniversity of Catania · ITUniversity of Florence · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveImaging represents an important noninvasive means to assess cystic fibrosis (CF) lung disease, which remains the main cause of morbidity and mortality in CF patients. While the development of new imaging techniques has revolutionised clinical practice, advances have posed diagnostic and monitoring challenges. The authors aim to summarise these challenges and make evidence-based recommendations regarding imaging assessment for both clinicians and radiologists. STUDY

designA committee of 21 experts in CF from the 10 largest specialist centres in Italy was convened, including a radiologist and a pulmonologist from each centre, with the overall aim of developing clear and actionable recommendations for lung imaging in CF. An

resultsAfter a systematic review of the relevant literature, the committee convened to evaluate 167 articles. Following five RAND conferences, consensus statements were developed by an executive subcommittee. The entire consensus committee voted and approved 28 main statements.

conclusionsThere is a need for international guidelines regarding the appropriate timing and selection of imaging modality for patients with CF lung disease; timing and selection depends upon the clinical scenario, the patient's age, lung function and type of treatment. Despite its ubiquity, the use of the chest radiograph remains controversial. Both computed tomography and magnetic resonance imaging should be routinely used to monitor CF lung disease. Future studies should focus on imaging protocol harmonisation both for computed tomography and for magnetic resonance imaging. The introduction of artificial intelligence imaging analysis may further revolutionise clinical practice by providing fast and reliable quantitative outcomes to assess disease status. To date, there is no evidence supporting the use of lung ultrasound to monitor CF lung disease.

Indexed as

Cystic FibrosisArtificial IntelligenceConsensus Statements as TopicHumansMagnetic Resonance ImagingPulmonologistsRadiologistsTomography, X-Ray Computed

Identifiers

PMID35321929
PMCPMC9489084
OpenAlexW4220834780

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.