Evidence map›Paper›PMID 37548691›Full record

ArticleEuropean radiology2024

Effect of CFTR modulator therapy with elexacaftor/tezacaftor/ivacaftor on pulmonary ventilation derived by 3D phase-resolved functional lung MRI in cystic fibrosis patients.

Filip Klimeš, Andreas Voskrebenzev, Marcel Gutberlet, Milan Speth, Robert Grimm, Martha Dohna, Gesine Hansen, Frank Wacker, Diane Miriam Renz, Anna-Maria Dittrich and 1 more

Open access · hybridAbstract read
In one paragraph

Article in European radiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
5.4field-weighted citation impact, top 4% 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.

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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 2 institutions in 1 country.

Filip KlimešInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Andreas VoskrebenzevInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Marcel GutberletInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Milan SpethInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Robert GrimmMR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany.
Martha DohnaInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Gesine HansenBiomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany.
Frank WackerInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Diane Miriam RenzInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany.
Anna-Maria DittrichBiomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), German Center for Lung Research (DZL), Hannover, Germany.
Jens Vogel-ClaussenInstitute of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany. vogel-claussen.jens@mh-hannover.de.ORCID http://orcid.org/0000-0001-5595-6948
Medizinische Hochschule Hannover · DESiemens Healthineers (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo investigate whether 3D phase-resolved functional lung (PREFUL)-MRI parameters are suitable to measure response to elexacaftor/tezacaftor/ivacaftor (ETI) therapy and their association with clinical outcomes in cystic fibrosis (CF) patients.

methodsTwenty-three patients with CF (mean age: 21; age range: 14-46) underwent MRI examination at baseline and 8-16 weeks after initiation of ETI. Morphological and 3D PREFUL scans assessed pulmonary ventilation. Morphological images were evaluated using a semi-quantitative scoring system, and 3D PREFUL scans were evaluated by ventilation defect percentage (VDP) values derived from regional ventilation (RVent) and cross-correlation maps. Improved ventilation volume (IVV) normalized to body surface area (BSA) between baseline and post-treatment visit was computed. Forced expiratory volume in 1 second (FEV

resultsAfter ETI therapy, all 3D PREFUL ventilation markers (all p < 0.0056) improved significantly, except for the mean RVent parameter. The BSA normalized IVV

conclusions3D PREFUL MRI is a very promising tool to monitor CFTR modulator-induced regional dynamic ventilation changes in CF patients. CLINICAL RELEVANCE STATEMENT: 3D PREFUL MRI is sensitive to monitor CFTR modulator-induced regional ventilation changes in CF patients. Improved ventilation volume correlates with the relative change of mucus plugging, suggesting that reduced endobronchial mucus is predominantly responsible for regional ventilation improvement. KEY POINTS: • 3D PREFUL MRI-derived ventilation maps show significantly reduced ventilation defects in CF patients after ETI therapy. • Significant post-treatment correlations of 3D PREFUL ventilation measures especially with LCI, FEV

Indexed as

AminophenolsBenzodioxolesCystic FibrosisIndolesPyrazolesPyridinesPyrrolidinesQuinolonesAdolescentAdultCystic Fibrosis Transmembrane Conductance RegulatorHumansLungMagnetic Resonance ImagingMiddle AgedMutationAminophenolsBenzodioxolesCFTR protein, humanCystic Fibrosis Transmembrane Conductance RegulatorelexacaftorIndolesivacaftorPyrazolesPyridinesPyrrolidinesQuinolonestezacaftorCystic fibrosisMagnetic resonance imagingVentilation

Identifiers

PMID37548691
PMCPMC10791851
OpenAlexW4385620969

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.