Imaging of bronchial pathology in antibody deficiency

Autor: Cinzia Milito, Maria Pia Bondioni, Scott Hackett, Esther de Vries, Alessandro Plebani, Vassilios Lougaris, Nicholas Screaton, Isabelle Meyts, Goffredo Serra, Nermeen Galal, Jamanda Haddock, M Lucas, Arpan K. Banerjee, Michael R. Loebinger, Vojtech Thon, Katharina Schütz, Peter M. van Hagen, Alison M. Condliffe, Robert G Stirling, Bodo Grimbacher, Annarosa Soresina, Luis Ignacio Gonzalez-Granado, John R. Hurst, Gertjan J. Driessen, Klaus Warnatz, Vera Postranecka, Peter Kelleher, Jiri Litzman, Dinakantha S. Kumararatne, Andrew Exley, Isabella Quinti, Judith Babar, Cesare Sirignano, Smita Y. Patel, Ieneke Hartmann, Ulrich Baumann, Giuseppe Spadaro, Francesco Fraioli, Sabine Dettmer, Alison Jones, Annemarie Bruining, Helen Chapel, Milica Mitrevski, Claire-Michèle Farber, Benjamin Gathmann, Diana Alecsandru

Publikováno v: Journal of Clinical Immunology, 39(1), 45-54. Springer New York
Journal of clinical immunology (Dordr., Online) (2018). doi:10.1007/s10875-018-0577-9
info:cnr-pdr/source/autori:Schütz K, Alecsandru D, Grimbacher B, Haddock J, Bruining A, Driessen G, de Vries E, van Hagen PM, Hartmann I, Fraioli F, Milito C, Mitrevski M, Quinti I, Serra G, Kelleher P, Loebinger M, Litzman J, Postranecka V, Thon V, Babar J, Condliffe AM, Exley A, Kumararatne D, Screaton N, Jones A, Bondioni MP, Lougaris V, Plebani A, Soresina A, Sirignano C, ... (2018). Imaging of Bronchial Pathology in Antibody Deficiency: Data from the European Chest CT Group/titolo:Imaging of Bronchial Pathology in Antibody Deficiency: Data from the European Chest CT Group/doi:10.1007%2Fs10875-018-0577-9/rivista:Journal of clinical immunology (Dordr., Online)/anno:2018/pagina_da:/pagina_a:/intervallo_pagine:/volume

Studies of chest computed tomography (CT) in patients with primary antibody deficiency syndromes (ADS) suggest a broad range of bronchial pathology. However, there are as yet no multicentre studies to assess the variety of bronchial pathology in this

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::51d49c16e61431ddd66177e86b84bf44
https://doi.org/10.1007/s10875-018-0577-9

Automated classification of hyperlucency, fibrosis, ground glass, solid, and focal lesions in high-resolution CT of the lung

Autor: Ingrid C, Sluimer, Mathias, Prokop, Ieneke, Hartmann, Bram, van Ginneken

Publikováno v: Medical physics. 33(7)

An automatic method for textural analysis of complete HRCT lung slices is presented. The system performs classification of regions of interest (ROIs) into one of six classes: normal, hyperlucency, fibrosis, ground glass, solid, and focal. We propose

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::87aed27aad18a07f919ff5d230b5296b
https://pubmed.ncbi.nlm.nih.gov/16898465