Automated evaluation of probe-based confocal laser endomicroscopy in the lung.
    
    
        
    
    
        
        PLoS ONE 15:e0232847 (2020)
    
    
    
      
      
	
	    RationaleProbe-based confocal endomicroscopy provides real time videos of autoflourescent elastin structures within the alveoli. With it, multiple changes in the elastin structure due to different diffuse parenchymal lung diseases have previously been described. However, these evaluations have mainly relied on qualitative evaluation by the examiner and manually selected parts post-examination.ObjectivesTo develop a fully automatic method for quantifying structural properties of the imaged alveoli elastin and to perform a preliminary assessment of their diagnostic potential.Methods46 patients underwent probe-based confocal endomicroscopy, of which 38 were divided into 4 groups categorizing different diffuse parenchymal lung diseases. 8 patients were imaged in representative healthy lung areas and used as control group. Alveolar elastin structures were automatically segmented with a trained machine learning algorithm and subsequently evaluated with two methods developed for quantifying the local thickness and structural connectivity.Measurements and main resultsThe automatic segmentation algorithm performed generally well and all 4 patient groups showed statistically significant differences with median elastin thickness, standard deviation of thickness and connectivity compared to the control group.ConclusionAlveoli elastin structures can be quantified based on their structural connectivity and thickness statistics with a fully-automated algorithm and initial results highlight its potential for distinguishing parenchymal lung diseases from normal alveoli.
	
	
	    
	
       
      
	
	    
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        Publication type
        Article: Journal article
    
 
    
        Document type
        Scientific Article
    
 
    
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        Keywords
        Idiopathic Pulmonary-fibrosis; Fluorescence Microscopy; Diagnosis; Statement; Criteria; Diseases
    
 
    
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        Language
        english
    
 
    
        Publication Year
        2020
    
 
    
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        2020
    
 
    
    
        ISSN (print) / ISBN
        1932-6203
    
 
    
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	    Volume: 15,  
	    Issue: 5,  
	    Pages: ,  
	    Article Number: e0232847 
	    Supplement: ,  
	
    
 
    
        
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            Public Library of Science (PLoS)
        
 
        
            Publishing Place
            Lawrence, Kan.
        
 
	
        
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        Reviewing status
        Peer reviewed
    
 
     
    
        POF-Topic(s)
        30202 - Environmental Health
    
 
    
        Research field(s)
        Lung Research
    
 
    
        PSP Element(s)
        G-501600-002
    
 
    
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        Erfassungsdatum
        2020-05-13