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Advances in Imaging and Automated Quantification of Pulmonary Diseases in Non-neoplastic Diseases

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Abstract

Histological examination has always been the gold standard for the detection and quantification of lung remodeling. However, this method has some limitations regarding the invasiveness of tissue acquisition. Quantitative imaging methods enable the acquisition of valuable information on lung structure and function without the removal of tissue from the body; thus, they are useful for disease identification and follow-up. This article reviews the various quantitative imaging modalities used currently for the non-invasive study of chronic obstructive pulmonary disease, asthma, and interstitial lung diseases. Some promising computer-aided diagnosis methods are also described.

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Authors and Affiliations

  1. Federal University of Health Sciences of Porto Alegre, Porto Alegre, Brazil

    Fernanda Balbinot

  2. Federal University of Rio de Janeiro, Rua Thomaz Cameron, 43, Valparaíso, Petrópolis, RJ, 25685120, Brazil

    Giordano Rafael Tronco Alves & Edson Marchiori

  3. Rua Coronel Vicente, 451, Centro, Porto Alegre, RS, 90030041, Brazil

    Fernanda Balbinot

  4. Irmandade Santa Casa de Misericórdia de Porto Alegre, LABIMED - Laboratório de Pesquisas em Imagens Médicas, Rua Prof. Annes Dias, 28, Centro, Porto Alegre, RS, 90020090, Brazil

    Fernanda Balbinot, Álvaro da Costa Batista Guedes, Douglas Zaione Nascimento, Juliana Fischman Zampieri, Adalberto Sperb Rubin & Bruno Hochhegger

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  1. Fernanda Balbinot
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  2. Álvaro da Costa Batista Guedes
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Balbinot, F., da Costa Batista Guedes, Á., Nascimento, D.Z. et al. Advances in Imaging and Automated Quantification of Pulmonary Diseases in Non-neoplastic Diseases. Lung 194, 871–879 (2016). https://doi.org/10.1007/s00408-016-9940-x

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