Diffuse lung disease of infancy: a pattern-based, algorithmic approach to histological diagnosis

Armes, Jane E., Mifsud, William and Ashworth, Michael (2014) Diffuse lung disease of infancy: a pattern-based, algorithmic approach to histological diagnosis. Journal of Clinical Pathology, 68 2: 100-110. doi:10.1136/jclinpath-2014-202685

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Author Armes, Jane E.
Mifsud, William
Ashworth, Michael
Title Diffuse lung disease of infancy: a pattern-based, algorithmic approach to histological diagnosis
Journal name Journal of Clinical Pathology   Check publisher's open access policy
ISSN 0021-9746
1472-4146
Publication date 2014-12-04
Year available 2014
Sub-type Article (original research)
DOI 10.1136/jclinpath-2014-202685
Open Access Status DOI
Volume 68
Issue 2
Start page 100
End page 110
Total pages 11
Place of publication London, United Kingdom
Publisher B M J Group
Collection year 2015
Language eng
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.
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ
Additional Notes Published online ahead of print 4 December 2014.

Document type: Journal Article
Sub-type: Article (original research)
Collections: Mater Research Institute-UQ (MRI-UQ)
Official 2015 Collection
School of Medicine Publications
 
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