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Diffuse lung disease of infancy: a pattern-based, algorithmic approach to histological diagnosis
  1. Jane E Armes1,
  2. William Mifsud2,
  3. Michael Ashworth2
  1. 1Department of Anatomical Pathology, Mater Health Services, South Brisbane, Queensland, Australia
  2. 2Department of Histopathology, Great Ormond Street Hospital, London, UK
  1. Correspondence to Dr Michael Ashworth, Histopathology Department, Camelia Botnar Laboratories, Great Ormond Street Hospital for Children NHS Trust, Great Ormond Street, London WC1N 3JH, UK; Michael.Ashworth{at}gosh.nhs.uk

Abstract

Diffuse lung disease (DLD) of infancy has multiple aetiologies and the spectrum of disease is substantially different from that seen in older children and adults. In many cases, a specific diagnosis renders a dire prognosis for the infant, with profound management implications. Two recently published series of DLD of infancy, collated from the archives of specialist centres, indicate that the majority of their cases were referred, implying that the majority of biopsies taken for DLD of infancy are first received by less experienced pathologists. The current literature describing DLD of infancy takes a predominantly aetiological approach to classification. We present an algorithmic, histological, pattern-based approach to diagnosis of DLD of infancy, which, with the aid of appropriate multidisciplinary input, including clinical and radiological expertise and ancillary diagnostic studies, may lead to an accurate and useful interim report, with timely exclusion of inappropriate diagnoses. Subsequent referral to a specialist centre for confirmatory diagnosis will be dependent on the individual case and the decision of the multidisciplinary team.

  • LUNG
  • HISTOPATHOLOGY
  • PAEDIATRIC PATHOLOGY

This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/

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