Evidence map›Paper›PMID 27391236›Full record

Trial reportPloS one2016

Quantification of Diaphragm Mechanics in Pompe Disease Using Dynamic 3D MRI.

Katja Mogalle, Adria Perez-Rovira, Pierluigi Ciet, Stephan C A Wens, Pieter A van Doorn, Harm A W M Tiddens, Ans T van der Ploeg, Marleen de Bruijne

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
3.1field-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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Paediatric lung imaging: the times they are a-changin'.European respiratory review : an official journal of the European Respiratory Society · 2018
    Review
  12. Holistic segmentation of the lung in cine MRI.Journal of medical imaging (Bellingham, Wash.) · 2017
    Article
  13. Respiratory magnetic resonance imaging biomarkers in Duchenne muscular dystrophy.Annals of clinical and translational neurology · 2017
    Article
  14. Article
  15. Review
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

8 authors at 2 institutions in 2 countries.

Katja MogalleBiomedical Imaging Group Rotterdam, Departments of Medical Informatics & Radiology, Erasmus MC, Rotterdam, the Netherlands.
Adria Perez-RoviraBiomedical Imaging Group Rotterdam, Departments of Medical Informatics & Radiology, Erasmus MC, Rotterdam, the Netherlands.
Pierluigi CietDepartment of Radiology, Erasmus MC, Rotterdam, the Netherlands.
Stephan C A WensDepartment of Neurology, Erasmus MC, Rotterdam, the Netherlands.
Pieter A van DoornDepartment of Neurology, Erasmus MC, Rotterdam, the Netherlands.
Harm A W M TiddensDepartment of Radiology, Erasmus MC, Rotterdam, the Netherlands.
Ans T van der PloegCentre for Lysosomal and Metabolic Diseases, Erasmus MC-Sophia, Rotterdam, the Netherlands.
Marleen de BruijneBiomedical Imaging Group Rotterdam, Departments of Medical Informatics & Radiology, Erasmus MC, Rotterdam, the Netherlands.
Erasmus MC - Sophia Children’s Hospital · NLErasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDiaphragm weakness is the main reason for respiratory dysfunction in patients with Pompe disease, a progressive metabolic myopathy affecting respiratory and limb-girdle muscles. Since respiratory failure is the major cause of death among adult patients, early identification of respiratory muscle involvement is necessary to initiate treatment in time and possibly prevent irreversible damage. In this paper we investigate the suitability of dynamic MR imaging in combination with state-of-the-art image analysis methods to assess respiratory muscle weakness.

methodsThe proposed methodology relies on image registration and lung surface extraction to quantify lung kinematics during breathing. This allows for the extraction of geometry and motion features of the lung that characterize the independent contribution of the diaphragm and the thoracic muscles to the respiratory cycle.

resultsResults in 16 3D+t MRI scans (10 Pompe patients and 6 controls) of a slow expiratory maneuver show that kinematic analysis from dynamic 3D images reveals important additional information about diaphragm mechanics and respiratory muscle involvement when compared to conventional pulmonary function tests. Pompe patients with severely reduced pulmonary function showed severe diaphragm weakness presented by minimal motion of the diaphragm. In patients with moderately reduced pulmonary function, cranial displacement of posterior diaphragm parts was reduced and the diaphragm dome was oriented more horizontally at full inspiration compared to healthy controls.

conclusionDynamic 3D MRI provides data for analyzing the contribution of both diaphragm and thoracic muscles independently. The proposed image analysis method has the potential to detect less severe diaphragm weakness and could thus be used to determine the optimal start of treatment in adult patients with Pompe disease in prospect of increased treatment response.

Indexed as

DiaphragmGlycogen Storage Disease Type IIMovementRespiratory MechanicsAdultAgedFemaleHumansImaging, Three-DimensionalMagnetic Resonance ImagingMaleMiddle Aged

Identifiers

PMID27391236
PMCPMC4938606
OpenAlexW2469505871

What OpenQuestion holds

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LicenceCC BY
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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.