Printculture of Surgical Pathology and Autopsy Specimens.


Journal

American journal of clinical pathology
ISSN: 1943-7722
Titre abrégé: Am J Clin Pathol
Pays: England
ID NLM: 0370470

Informations de publication

Date de publication:
04 11 2019
Historique:
pubmed: 25 7 2019
medline: 31 3 2020
entrez: 24 7 2019
Statut: ppublish

Résumé

Printculture is a method of microbiologic assessment previously described for use in the autopsy setting. We sought to compare printculture of surgical and autopsy pathology specimens to standard microbiology culture using matrix-assisted laser desorption/ionization-time of flight (MALDI-TOF)-based colony identification. Printculture was performed on 18 frozen samples with corresponding standard culture results. The results of MALDI-TOF identification of colonies recovered by printculture were compared with standard cultures, and percent concordance was calculated. There was 95.8% concordance to standard culture methods for cases with infections and 100% concordance for cases without infection. The pattern of growth was found to aid in the distinction between contamination and true infection. Printculture allows the identification of microorganisms from routinely frozen tissues and provides a bridge between microbiology and histomorphology through the identification of associated histologic features of infection. This technique can be successfully integrated into autopsy and surgical pathology workup of potentially infected tissues.

Identifiants

pubmed: 31334549
pii: 5537116
doi: 10.1093/ajcp/aqz090
doi:

Types de publication

Comparative Study Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

747-756

Informations de copyright

© American Society for Clinical Pathology, 2019. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Auteurs

Phillip D McMullen (PD)

Department of Pathology, University of Chicago Medical Center, Chicago, IL.

Vera Tesic (V)

Department of Pathology, University of Chicago Medical Center, Chicago, IL.

Peter Pytel (P)

Department of Pathology, University of Chicago Medical Center, Chicago, IL.

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Classifications MeSH