Characterizing Lung Particulates Using Quantitative Microscopy in Coal Miners With Severe Pneumoconiosis
Current approaches for characterizing retained lung dust using pathologists' qualitative assessment or scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) have limitations. To explore polarized light microscopy coupled with image-processing software, termed quantitative m...
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Veröffentlicht in: | Archives of pathology & laboratory medicine (1976) 2024-03, Vol.148 (3), p.327-335 |
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creator | 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 |
description | Current approaches for characterizing retained lung dust using pathologists' qualitative assessment or scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) have limitations.
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.
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.
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).
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. |
doi_str_mv | 10.5858/arpa.2022-0427-OA |
format | Article |
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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.
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.
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).
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.</description><identifier>ISSN: 0003-9985</identifier><identifier>ISSN: 1543-2165</identifier><identifier>EISSN: 1543-2165</identifier><identifier>DOI: 10.5858/arpa.2022-0427-OA</identifier><identifier>PMID: 37270802</identifier><language>eng</language><publisher>United States: College of American Pathologists</publisher><subject>Air pollution ; Algorithms ; Automation ; Birefringence ; Blood & organ donations ; Carbonates ; Care and treatment ; Cigarette smoke ; Coal ; Coal dust ; Coal industry ; Coal miners ; Coal Mining ; Combustion products ; Comparative analysis ; Computer programs ; Diagnosis ; Dust ; Electronics industry ; Humans ; Image processing ; Inhalation ; Light microscopy ; Lung - diagnostic imaging ; Lung - pathology ; Lung diseases ; Medical screening ; Microscope and microscopy ; Microscopy, Electron, Scanning ; Mineral industry ; Mining industry ; Occupational exposure ; Occupational Exposure - adverse effects ; Particulate matter ; Pneumoconiosis ; Pneumoconiosis - diagnostic imaging ; Pneumoconiosis - pathology ; Polarized light ; Scanning electron microscopy ; Silica ; Silicates ; Silicon Dioxide ; Spectroscopy ; Spectrum analysis</subject><ispartof>Archives of pathology & laboratory medicine (1976), 2024-03, Vol.148 (3), p.327-335</ispartof><rights>2024 College of American Pathologists.</rights><rights>COPYRIGHT 2024 College of American Pathologists</rights><rights>Copyright College of American Pathologists Mar 2024</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c564t-76050e46bfcb74a465dae7f18420554f0e05f21d7d8a8d738dec99db612943143</citedby><cites>FETCH-LOGICAL-c564t-76050e46bfcb74a465dae7f18420554f0e05f21d7d8a8d738dec99db612943143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,776,780,881,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/37270802$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hua, Jeremy T</creatorcontrib><creatorcontrib>Cool, Carlyne D</creatorcontrib><creatorcontrib>Lowers, Heather A</creatorcontrib><creatorcontrib>Go, Leonard H T</creatorcontrib><creatorcontrib>Zell-Baran, Lauren M</creatorcontrib><creatorcontrib>Sarver, Emily A</creatorcontrib><creatorcontrib>Almberg, Kirsten S</creatorcontrib><creatorcontrib>Pang, Kathy D</creatorcontrib><creatorcontrib>Majka, Susan M</creatorcontrib><creatorcontrib>Franko, Angela D</creatorcontrib><creatorcontrib>Vorajee, Naseema I</creatorcontrib><creatorcontrib>Cohen, Robert A</creatorcontrib><creatorcontrib>Rose, Cecile S</creatorcontrib><title>Characterizing Lung Particulates Using Quantitative Microscopy in Coal Miners With Severe Pneumoconiosis</title><title>Archives of pathology & laboratory medicine (1976)</title><addtitle>Arch Pathol Lab Med</addtitle><description>Current approaches for characterizing retained lung dust using pathologists' qualitative assessment or scanning electron microscopy with energy-dispersive spectroscopy (SEM/EDS) have limitations.
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.
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.
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).
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.</description><subject>Air pollution</subject><subject>Algorithms</subject><subject>Automation</subject><subject>Birefringence</subject><subject>Blood & organ donations</subject><subject>Carbonates</subject><subject>Care and treatment</subject><subject>Cigarette smoke</subject><subject>Coal</subject><subject>Coal dust</subject><subject>Coal industry</subject><subject>Coal miners</subject><subject>Coal Mining</subject><subject>Combustion products</subject><subject>Comparative analysis</subject><subject>Computer programs</subject><subject>Diagnosis</subject><subject>Dust</subject><subject>Electronics industry</subject><subject>Humans</subject><subject>Image processing</subject><subject>Inhalation</subject><subject>Light microscopy</subject><subject>Lung - diagnostic imaging</subject><subject>Lung - pathology</subject><subject>Lung diseases</subject><subject>Medical screening</subject><subject>Microscope and microscopy</subject><subject>Microscopy, Electron, Scanning</subject><subject>Mineral industry</subject><subject>Mining industry</subject><subject>Occupational exposure</subject><subject>Occupational Exposure - adverse effects</subject><subject>Particulate matter</subject><subject>Pneumoconiosis</subject><subject>Pneumoconiosis - diagnostic imaging</subject><subject>Pneumoconiosis - pathology</subject><subject>Polarized light</subject><subject>Scanning electron microscopy</subject><subject>Silica</subject><subject>Silicates</subject><subject>Silicon Dioxide</subject><subject>Spectroscopy</subject><subject>Spectrum analysis</subject><issn>0003-9985</issn><issn>1543-2165</issn><issn>1543-2165</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNptUlGPEyEY3BiNV09_gC9mExNzL1uBhYV9Mk3jqUlNz-jFR0LZb7tcKFRgm5y_XjZ3nldTIBA-ZoYwTFG8xmjOBBPvVdirOUGEVIgSXq0XT4oZZrSuCG7Y02KGEKqrthXsrHgR403etoTg58VZzQlHApFZMSwHFZROEMxv47blaszTlQrJ6NGqBLG8jlP926hcMkklc4Dyq9HBR-33t6Vx5dIrm0sOQix_mjSU3-EAAcorB-POa--Mjya-LJ71ykZ4db-eF9eXH38sP1er9acvy8Wq0qyhqeINYghos-n1hlNFG9Yp4D0WlCDGaI8AsZ7gjndCiY7XogPdtt2mwaSlNab1efHhTnc_bnbQaXApKCv3wexUuJVeGXl84swgt_4gcXaONJxlhYt7heB_jRCT3JmowVrlwI9REkGye22Npsve_ge98WNw-X2StIzzPCj_h9oqC9K43ueL9SQqF1zkxghtMqo6gdpC9lVZ76A3uXyEn5_A597BzuiThHePCAMom4bo7ZiMd_EYiO-A0y_HAP2DexjJKXhyCp6cgien4Mn1InPePLb9gfE3afUfLD7T-w</recordid><startdate>20240301</startdate><enddate>20240301</enddate><creator>Hua, Jeremy T</creator><creator>Cool, Carlyne D</creator><creator>Lowers, Heather A</creator><creator>Go, Leonard H T</creator><creator>Zell-Baran, Lauren M</creator><creator>Sarver, Emily A</creator><creator>Almberg, Kirsten S</creator><creator>Pang, Kathy D</creator><creator>Majka, Susan M</creator><creator>Franko, Angela D</creator><creator>Vorajee, Naseema I</creator><creator>Cohen, Robert A</creator><creator>Rose, Cecile S</creator><general>College of American Pathologists</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>4T-</scope><scope>4U-</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88I</scope><scope>8AF</scope><scope>8AO</scope><scope>8C1</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20240301</creationdate><title>Characterizing Lung Particulates Using Quantitative Microscopy in Coal Miners With Severe Pneumoconiosis</title><author>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</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c564t-76050e46bfcb74a465dae7f18420554f0e05f21d7d8a8d738dec99db612943143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Air pollution</topic><topic>Algorithms</topic><topic>Automation</topic><topic>Birefringence</topic><topic>Blood & organ donations</topic><topic>Carbonates</topic><topic>Care and treatment</topic><topic>Cigarette smoke</topic><topic>Coal</topic><topic>Coal dust</topic><topic>Coal industry</topic><topic>Coal miners</topic><topic>Coal Mining</topic><topic>Combustion products</topic><topic>Comparative analysis</topic><topic>Computer programs</topic><topic>Diagnosis</topic><topic>Dust</topic><topic>Electronics industry</topic><topic>Humans</topic><topic>Image processing</topic><topic>Inhalation</topic><topic>Light microscopy</topic><topic>Lung - diagnostic imaging</topic><topic>Lung - pathology</topic><topic>Lung diseases</topic><topic>Medical screening</topic><topic>Microscope and microscopy</topic><topic>Microscopy, Electron, Scanning</topic><topic>Mineral industry</topic><topic>Mining industry</topic><topic>Occupational exposure</topic><topic>Occupational Exposure - adverse effects</topic><topic>Particulate matter</topic><topic>Pneumoconiosis</topic><topic>Pneumoconiosis - diagnostic imaging</topic><topic>Pneumoconiosis - pathology</topic><topic>Polarized light</topic><topic>Scanning electron microscopy</topic><topic>Silica</topic><topic>Silicates</topic><topic>Silicon Dioxide</topic><topic>Spectroscopy</topic><topic>Spectrum analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hua, Jeremy T</creatorcontrib><creatorcontrib>Cool, Carlyne D</creatorcontrib><creatorcontrib>Lowers, Heather A</creatorcontrib><creatorcontrib>Go, Leonard H T</creatorcontrib><creatorcontrib>Zell-Baran, Lauren M</creatorcontrib><creatorcontrib>Sarver, Emily A</creatorcontrib><creatorcontrib>Almberg, Kirsten S</creatorcontrib><creatorcontrib>Pang, Kathy D</creatorcontrib><creatorcontrib>Majka, Susan M</creatorcontrib><creatorcontrib>Franko, Angela D</creatorcontrib><creatorcontrib>Vorajee, Naseema I</creatorcontrib><creatorcontrib>Cohen, Robert A</creatorcontrib><creatorcontrib>Rose, Cecile S</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Docstoc</collection><collection>University Readers</collection><collection>Nursing & Allied Health Database</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Science Database</collection><collection>Biological Science Database</collection><collection>Nursing & Allied Health Premium</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - 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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.
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.
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).
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.</abstract><cop>United States</cop><pub>College of American Pathologists</pub><pmid>37270802</pmid><doi>10.5858/arpa.2022-0427-OA</doi><tpages>9</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Air pollution Algorithms Automation Birefringence Blood & organ donations Carbonates Care and treatment Cigarette smoke Coal Coal dust Coal industry Coal miners Coal Mining Combustion products Comparative analysis Computer programs Diagnosis Dust Electronics industry Humans Image processing Inhalation Light microscopy Lung - diagnostic imaging Lung - pathology Lung diseases Medical screening Microscope and microscopy Microscopy, Electron, Scanning Mineral industry Mining industry Occupational exposure Occupational Exposure - adverse effects Particulate matter Pneumoconiosis Pneumoconiosis - diagnostic imaging Pneumoconiosis - pathology Polarized light Scanning electron microscopy Silica Silicates Silicon Dioxide Spectroscopy Spectrum analysis |
title | Characterizing Lung Particulates Using Quantitative Microscopy in Coal Miners With Severe Pneumoconiosis |
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