Characterizing Lung Particulates Using Quantitative Microscopy in Coal Miners With Severe Pneumoconiosis.
Context.--Current approaches for characterizing retained lung dust using pathologists' qualitative assessment or scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) have limitations. Objective.--To explore polarized light microscopy coupled with image-processing software, term...
| Published in: | Archives of Pathology & Laboratory Medicine Vol. 148; no. 3; pp. 327 - 336 |
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| Main Authors: | , , , , , , , , , , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
College of American Pathologists
Mar2024
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=175867463&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 175867463 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00039985 1FS jtl: Archives of Pathology & Laboratory Medicine issn: 00039985 maglogo: N pubinfo: dt: Mar2024 vid: 148 iid: 3 pid: 2550 pub: College of American Pathologists place: Northfield, Illinois artinfo: ui: 175867463 175867463 175867463 10.5858/arpa.2022-0427-OA 175867463 ppf: 327 ppct: 9 formats: fmt: @attributes: type: P tig: atl: Characterizing Lung Particulates Using Quantitative Microscopy in Coal Miners With Severe Pneumoconiosis. aug: au: Hua, Jeremy T. Cool, Carlyne D. Lowers, Heather A. Go, Leonard H. T. Zell-Baran, Lauren M. Sarver, Emily A. Almberg, Kirsten S. Pang, Kathy D. Majka, Susan M. Franko, Angela D. Vorajee, Naseema I. Cohen, Robert A. Rose, Cecile S. affil: Division of Environmental and Occupational Health Sciences, National Jewish Health, Denver, Colorado sug: subj: Anthracosis Pathology Pulmonary Fibrosis Pathology Dust Analysis Lung Analysis Microscopy Methods Image Processing, Computer Assisted Human United States Silicates Particulate Matter Pathologists Occupational Exposure Comparative Studies Descriptive Statistics Blue Collar Workers Funding Source ab: Context.--Current approaches for characterizing retained lung dust using pathologists' qualitative assessment or scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) have limitations. Objective.--To explore polarized light microscopy coupled with image-processing software, termed quantitative microscopy-particulate matter (QM-PM), as a tool to characterize in situ dust in lung tissue of US coal miners with progressive massive fibrosis. Design.--We developed a standardized protocol using microscopy images to characterize the in situ burden of birefringent crystalline silica/silicate particles (mineral density) and carbonaceous particles (pigment fraction). Mineral density and pigment fraction were compared with pathologists' qualitative assessments and SEM/EDS analyses. Particle features were compared between historical (born before 1930) and contemporary coal miners, who likely had different exposures following changes in mining technology. Results.--Lung tissue samples from 85 coal miners (62 historical and 23 contemporary) and 10 healthy controls were analyzed using QM-PM. Mineral density and pigment fraction measurements with QM-PM were comparable to consensus pathologists' scoring and SEM/EDS analyses. Contemporary miners had greater mineral density than historical miners (186 456 versus 63 727/mm³; P = .02) and controls (4542/mm³), consistent with higher amounts of silica/silicate dust. Contemporary and historical miners had similar particle sizes (median area, 1.00 versus 1.14 µm² P = .46) and birefringence under polarized light (median grayscale brightness: 80.9 versus 87.6; P = .29). Conclusions.--QM-PM reliably characterizes in situ silica/silicate and carbonaceous particles in a reproducible, automated, accessible, and time/cost/labor-efficient manner, and shows promise as a tool for understanding occupational lung pathology and targeting exposure controls. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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