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Digital Pathology in the Detection of Infectious Microorganisms: An Evaluation of Its Strengths and Weaknesses Across a Panel of Immunohistochemical and Histochemical Stains Routinely Used in Diagnostic Surgical Pathology.
Haghighi, Mehrvash; Bryce, Clare; Paulsen, John D; Hussein, Shafinaz; Veremis, Brandon; Salib, Christian; Alialy, Roshanak; Lahori, Mega; Hao, Yansheng; Liang, Yuanxin; Szporn, Arnold; Westra, William.
Afiliação
  • Haghighi M; From the Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York (Haghighi, Paulsen, Hussein, Veremis, Salib, Alialy, Szporn, Westra).
  • Bryce C; Washoe County Regional Medical Examiner's Office, Reno, Nevada (Bryce).
  • Paulsen JD; From the Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York (Haghighi, Paulsen, Hussein, Veremis, Salib, Alialy, Szporn, Westra).
  • Hussein S; From the Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York (Haghighi, Paulsen, Hussein, Veremis, Salib, Alialy, Szporn, Westra).
  • Veremis B; From the Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York (Haghighi, Paulsen, Hussein, Veremis, Salib, Alialy, Szporn, Westra).
  • Salib C; From the Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York (Haghighi, Paulsen, Hussein, Veremis, Salib, Alialy, Szporn, Westra).
  • Alialy R; From the Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York (Haghighi, Paulsen, Hussein, Veremis, Salib, Alialy, Szporn, Westra).
  • Lahori M; Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York (Lahori).
  • Hao Y; Department of Pathology, University of Rochester Medical Center, Rochester, New York (Hao).
  • Liang Y; the Department of Pathology, Yale School of Medicine, New Haven, Connecticut (Liang).
  • Szporn A; From the Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York (Haghighi, Paulsen, Hussein, Veremis, Salib, Alialy, Szporn, Westra).
  • Westra W; From the Department of Pathology, Icahn School of Medicine at Mount Sinai, New York, New York (Haghighi, Paulsen, Hussein, Veremis, Salib, Alialy, Szporn, Westra).
Arch Pathol Lab Med ; 2024 Feb 22.
Article em En | MEDLINE | ID: mdl-38385999
ABSTRACT
CONTEXT.­ The diagnosis of some infectious diseases requires their identification in tissue specimens. As institutions adopt digital pathology for primary diagnosis, the limits of microorganism detection from digital images must be delineated. OBJECTIVE.­ To assess the reliability of microorganism detection from digitized images of histochemical and immunohistochemical stains commonly used in pathology. DESIGN.­ Original glass slides from 620 surgical pathology cases evaluated for the presence of infectious microorganisms were digitized. Immunohistochemical stains included those for herpes simplex virus (n = 100), cytomegalovirus (n = 100), Helicobacter pylori (n = 100), and spirochetes (n = 80). Histochemical stains included mucicarmine for Cryptococcus spp (n = 20), Grocott methenamine silver for fungi (n = 100), Giemsa for H pylori (n = 100), and Ziehl-Neelsen for acid-fast bacilli (n = 20). The original diagnosis based on the glass slides was regarded as the reference standard. Six pathologists reviewed the digital images. RESULTS.­ Digital review was generally associated with high (ie, ≥90%) specificity and positive predictive value owing to a low percentage of false positive reads, whereas a high percentage of false negatives contributed to low sensitivity and negative predictive value for many stains. Fleiss κ showed substantial interobserver agreement in the interpretation of Grocott methenamine silver and immunostains for herpes simplex virus, H pylori, and cytomegalovirus; moderate agreement for spirochete, Ziehl-Neelsen, and mucicarmine; and poor agreement for Giemsa. CONCLUSIONS.­ Digital immunohistochemistry generally outperforms histochemical stains for microorganism detection. Digital interpretation of Ziehl-Neelsen and mucicarmine stains is associated with low scores for interrater reliability, accuracy, sensitivity, and negative predictive value such that it should not substitute for conventional review of glass slides.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article