Evidence map›Paper›PMID 42596091›Full record

ArticleMagnetic resonance in medicine2026

Adapted Linear Binning Method to Assess Pulmonary Ventilation and Perfusion in Children Using Lung Matrix Pencil Decomposition (MP)-MRI.

Marion Curdy, Carmen Streibel, Oliver Bieri, Elisabeth Kieninger, Florian Wyler, Lukas Ebner, Grzegorz Bauman, Philipp Latzin

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Article in Magnetic resonance in medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Marion CurdyPediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-6034-9103
Carmen StreibelPediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-4781-3418
Oliver BieriDivision of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland.ORCID https://orcid.org/0000-0002-6755-5495
Elisabeth KieningerPediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0003-1741-5221
Florian WylerPediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-1232-1392
Lukas EbnerDepartment of Radiology and Nuclear Medicine, Lucerne Cantonal Hospital, University of Lucerne, Lucerne, Switzerland.
Grzegorz BaumanDivision of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland.ORCID https://orcid.org/0000-0001-6972-0776
Philipp LatzinPediatric Respiratory Medicine, Department of Pediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.ORCID https://orcid.org/0000-0002-5239-1571

Funding

Cystische Fibrose SchweizSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 10002556Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 10004139
6 · The paper itself

Abstract

purposeTo adapt and validate a linear binning technique, developed for hyper-polarized 129Xe MRI, for functional lung MRI with matrix-pencil decomposition (MP)-MRI.

methodsFirst, a dedicated normalization was applied to the perfusion-weighted and the ventilation-weighted map histograms. Then, using 154 MP-MRI scans of healthy children, reference bins were defined around the peak of the averaged histogram as normal (±1 SD), high (> 1 SD), low (between -1 SD and -2 SD), and defect (< -2 SD), and subsequently applied to a validation dataset comprising healthy children (HC, N = 41) and children with cystic fibrosis (CF, N = 30) to evaluate the accuracy of the classification and its discriminatory power. Furthermore, a third dataset comprising children with CF pre and post elexacaftor/tezacaftor/ivacaftor (ETI) therapy (N = 24) was binned to evaluate the method's sensitivity to treatment effects. Standard outcome parameters, computed with a median threshold, served as a comparison.

resultsThe adapted linear binning resulted in significantly higher defect and low percentages for perfusion and ventilation between children with CF and HC (p values < 0.0001) with high discrimination (AUCs > 0.85). This was comparable to the standard median-threshold method. Two illustrative cases were included to demonstrate the complementary granularity of the linear binning method. Although standard thresholding indicated improvement in both ventilation and perfusion defects pre and post ETI, linear binning showed that perfusion improvement was restricted to the low category.

conclusionA linear binning method for MP-MRI was developed and validated, providing a healthy reference based on a large dataset and advancing functional lung image processing.

Indexed as

Cystic FibrosisImage Processing, Computer-AssistedLungMagnetic Resonance ImagingPulmonary VentilationAdolescentAlgorithmsChildChild, PreschoolFemaleHumansMaleReproducibility of ResultsXenon IsotopesXenon Isotopesdefect percentagelinear binninglungMP‐MRIpediatricsventilation and perfusion

Identifiers

PMID42596091
PMCPMC13619853

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