Evidence map›Paper›PMID 30567932›Full record

SynthesisEuropean respiratory review : an official journal of the European Respiratory Society2018

The use of chest magnetic resonance imaging in interstitial lung disease: a systematic review.

Chiara Romei, Laura Turturici, Laura Tavanti, Jelle Miedema, Sara Fiorini, Massimo Marletta, Piotr Wielopolski, Harm Tiddens, Fabio Falaschi, Pierluigi Ciet

Open access · diamondAbstract readSystematic Review
In one paragraph

Synthesis in European respiratory review : an official journal of the European Respiratory Society, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

20 citing papers in PubMed, 55 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Flow-Field Inference for Turbulent Exhale Flow Measurement.Diagnostics (Basel, Switzerland) · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Idiopathic pulmonary fibrosis: Current and future treatment.The clinical respiratory journal · 2022
    Review
  9. Article
  10. Article
  11. Article
  12. Novelties in Imaging of Thoracic Sarcoidosis.Journal of clinical medicine · 2021
    Review
  13. Article
  14. Article
  15. Novel Imaging Strategies in Systemic Sclerosis.Current rheumatology reports · 2020
    Review
  16. Review
  17. Molecular Imaging of Pulmonary Inflammation and Infection.International journal of molecular sciences · 2020
    Review
  18. Article
  19. Magnetic resonance imaging (MRI) chest in post-COVID-19 pneumonia.Lung India : official organ of Indian Chest Society
    Article
  20. 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

10 authors at 3 institutions in 2 countries.

Chiara Romei2nd Radiology Unit, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy.
Laura TurturiciRadiology, Azienda USL Toscana nord ovest Sede di Viareggio, Viareggio, Italy.
Laura TavantiDept of Surgical, Medical, Molecular Pathology and Critical Care, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy.
Jelle MiedemaDept of Respiratory Medicine, Erasmus MC, University Medical Centre Rotterdam, Rotterdam, The Netherlands.
Sara Fiorini1st Radiology Unit, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy.
Massimo Marletta1st Radiology Unit, Azienda Ospedaliero Universitaria Pisana, Pisa, Italy.
Piotr WielopolskiDept of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Harm TiddensDept of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Fabio Falaschi2nd Radiology Unit, Azienda Ospedaliera Universitaria Pisana, Pisa, Italy.
Pierluigi CietDept of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands.
Azienda Ospedaliera Universitaria Pisana · ITErasmus MC · NLAzienda Usl Toscana Centro · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Thin-slices multi-detector computed tomography (MDCT) plays a key role in the differential diagnosis of interstitial lung disease (ILD). However, thin-slices MDCT has a limited ability to detect active inflammation, which is an important target of newly developed ILD drug therapy. Magnetic resonance imaging (MRI), thanks to its multi-parameter capability, provides better tissue characterisation than thin-slices MDCT.Our aim was to summarise the current status of MRI applications in ILD and to propose an ILD-MRI protocol. A systematic literature search was conducted for relevant studies on chest MRI in patients with ILD.We retrieved 1246 papers of which 55 original papers were selected for the review. We identified 24 studies comparing image quality of thin-slices MDCT and MRI using several MRI sequences. These studies described new MRI sequences to assess ILD parenchymal abnormalities, such as honeycombing, reticulation and ground-glass opacity. Thin-slices MDCT remains superior to MRI for morphological imaging. However, recent studies with ultra-short echo-time MRI showed image quality comparable to thin-slices MDCT. Several studies demonstrated the added value of chest MRI by using functional imaging, especially to detect and quantify inflammatory changes.We concluded that chest MRI could play a role in ILD patients to differentiate inflammatory and fibrotic changes and to assess efficacy of new ILD drugs.

Indexed as

AgedDiagnosis, DifferentialFemaleHumansLungLung Diseases, InterstitialMagnetic Resonance ImagingMaleMultidetector Computed TomographyPredictive Value of TestsPrognosisReproducibility of ResultsSeverity of Illness Index

Identifiers

PMID30567932
PMCPMC9489061
OpenAlexW2903959550

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.