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Defect distribution index: A novel metric for functional lung MRI in cystic fibrosis.
Valk, Anne; Willers, Corin; Shahim, Kamal; Pusterla, Orso; Bauman, Grzegorz; Sandkühler, Robin; Bieri, Oliver; Wyler, Florian; Latzin, Philipp.
Affiliation
  • Valk A; Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Willers C; Division of Paediatric Pulmonology and Allergology, Department of Pediatrics, Amalia Children's Hospital, Radboud University Medical Centre, Nijmegen, The Netherlands.
  • Shahim K; Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Pusterla O; Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Bauman G; Division of Paediatric Respiratory Medicine and Allergology, Department of Paediatrics, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
  • Sandkühler R; Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland.
  • Bieri O; Department of Biomedical Engineering, University of Basel, Allschwil, Switzerland.
  • Wyler F; Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland.
  • Latzin P; Division of Radiological Physics, Department of Radiology, University of Basel Hospital, Basel, Switzerland.
Magn Reson Med ; 86(6): 3224-3235, 2021 12.
Article in En | MEDLINE | ID: mdl-34337778
PURPOSE: Lung impairment from functional MRI is frequently assessed as defect percentage. The defect distribution, however, is currently not quantified. The purpose of this work was to develop a novel measure that quantifies how clustered or scattered defects in functional lung MRI appear, and to evaluate it in pediatric cystic fibrosis. THEORY: The defect distribution index (DDI) calculates a score for each lung voxel categorized as defected. The index increases according to how densely and how far an expanding circle around a defect voxel contains more than 50% defect voxels. METHODS: Fractional ventilation and perfusion maps of 53 children with cystic fibrosis were previously acquired with matrix pencil decomposition MRI. In this work, the DDI is compared to a visual score of 3 raters who evaluated how clustered the lung defects appear. Further, spearman correlations between DDI and lung function parameters were determined. RESULTS: The DDI strongly correlates with the visual scoring (r = 0.90 for ventilation; r = 0.88 for perfusion; P < .0001). Although correlations between DDI and defect percentage are moderate to strong (r = 0.61 for ventilation; r = 0.75 for perfusion; P < .0001), the DDI distinguishes between patients with comparable defect percentage. CONCLUSION: The DDI is a novel measure for functional lung MRI. It provides complementary information to the defect percentage because the DDI assesses defect distribution rather than defect size. The DDI is applicable to matrix pencil MRI data of cystic fibrosis patients and shows very good agreement with human perception of defect distributions.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cystic Fibrosis Limits: Child / Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article Affiliation country: Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Cystic Fibrosis Limits: Child / Humans Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2021 Document type: Article Affiliation country: Country of publication: