Automated bone healing evaluation: New approach to histomorphometric analysis
This study aimed to assess different approaches for bone healing evaluation on histological images and to introduce a new automatic evaluation method based on segmentation with distinct thresholds. We evaluated the hyperbaric oxygen therapy (HBO) effects on bone repair in type 1 diabetes mellitus ra...
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| Veröffentlicht in: | Microscopy research and technique 2022-10, Vol.85 (10), p.3339-3346 |
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| creator | Linhares, Camila Rodrigues Borges Rabelo, Gustavo Davi Limirio, Pedro Henrique Justino Oliveira Venâncio, Jessyca Figueira Ribeiro Silva, Igor Gonçalves Dechichi, Paula |
| description | This study aimed to assess different approaches for bone healing evaluation on histological images and to introduce a new automatic evaluation method based on segmentation with distinct thresholds. We evaluated the hyperbaric oxygen therapy (HBO) effects on bone repair in type 1 diabetes mellitus rats. Twelve animals were divided into four groups (n = 3): non‐diabetic, non‐diabetic + HBO, diabetic, and diabetic + HBO. Diabetes was induced by intravenous administration of streptozotocin (50 mg/kg). Bone defects were created in femurs and HBO was immediately started at one session/day. After 7 days, the animals were euthanized, femurs were removed, demineralized, and embedded in paraffin. Histological sections were stained with hematoxylin and eosin (HE) and Mallory's trichrome (MT), and evaluated using three approaches: (1) conventional histomorphometric analysis (HE images) using a 144‐point grid to quantify the bone matrix; (2) a semi‐automatic method based on bone matrix segmentation to assess the bone matrix percentage (MT images); and (3) automatic approach, with the creation of a plug‐in for ImageJ software. The time required to perform the analysis in each method was measured and subjected to Bland–Altman statistical analysis. All three methods were satisfactory for measuring bone formation and were not statistically different. The automatic approach reduced the working time compared to visual grid and semi‐automated method (p |
| doi_str_mv | 10.1002/jemt.24188 |
| format | Article |
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Graphic sketch of the methodologies used to evaluate bone tissue in histomorphometric analysis.</description><identifier>ISSN: 1059-910X</identifier><identifier>EISSN: 1097-0029</identifier><identifier>DOI: 10.1002/jemt.24188</identifier><language>eng</language><publisher>Hoboken, USA: John Wiley & Sons, Inc</publisher><subject>Animals ; automated image analysis ; Automation ; Bone growth ; Bone healing ; Bone matrix ; bone regeneration ; computer‐assisted ; Diabetes ; Diabetes mellitus ; Diabetes mellitus (insulin dependent) ; Evaluation ; Healing ; Hyperbaric oxygen therapy ; hyperbaric oxygenation ; Image segmentation ; Intravenous administration ; Osteogenesis ; Paraffin ; Paraffins ; Statistical analysis ; Streptozocin ; type 1 diabetes mellitus</subject><ispartof>Microscopy research and technique, 2022-10, Vol.85 (10), p.3339-3346</ispartof><rights>2022 Wiley Periodicals LLC.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3348-59e0340b93c7af8073aafccf28e61f1a98102b6e290e27d817193f1751b9ca4e3</citedby><cites>FETCH-LOGICAL-c3348-59e0340b93c7af8073aafccf28e61f1a98102b6e290e27d817193f1751b9ca4e3</cites><orcidid>0000-0002-0089-3772 ; 0000-0001-5509-8138 ; 0000-0001-9511-5078</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fjemt.24188$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fjemt.24188$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,776,780,1411,27903,27904,45553,45554</link.rule.ids></links><search><creatorcontrib>Linhares, Camila Rodrigues Borges</creatorcontrib><creatorcontrib>Rabelo, Gustavo Davi</creatorcontrib><creatorcontrib>Limirio, Pedro Henrique Justino Oliveira</creatorcontrib><creatorcontrib>Venâncio, Jessyca Figueira</creatorcontrib><creatorcontrib>Ribeiro Silva, Igor Gonçalves</creatorcontrib><creatorcontrib>Dechichi, Paula</creatorcontrib><title>Automated bone healing evaluation: New approach to histomorphometric analysis</title><title>Microscopy research and technique</title><description>This study aimed to assess different approaches for bone healing evaluation on histological images and to introduce a new automatic evaluation method based on segmentation with distinct thresholds. We evaluated the hyperbaric oxygen therapy (HBO) effects on bone repair in type 1 diabetes mellitus rats. Twelve animals were divided into four groups (n = 3): non‐diabetic, non‐diabetic + HBO, diabetic, and diabetic + HBO. Diabetes was induced by intravenous administration of streptozotocin (50 mg/kg). Bone defects were created in femurs and HBO was immediately started at one session/day. After 7 days, the animals were euthanized, femurs were removed, demineralized, and embedded in paraffin. Histological sections were stained with hematoxylin and eosin (HE) and Mallory's trichrome (MT), and evaluated using three approaches: (1) conventional histomorphometric analysis (HE images) using a 144‐point grid to quantify the bone matrix; (2) a semi‐automatic method based on bone matrix segmentation to assess the bone matrix percentage (MT images); and (3) automatic approach, with the creation of a plug‐in for ImageJ software. The time required to perform the analysis in each method was measured and subjected to Bland–Altman statistical analysis. All three methods were satisfactory for measuring bone formation and were not statistically different. The automatic approach reduced the working time compared to visual grid and semi‐automated method (p < .01). Although histological evaluation of bone healing was performed successfully using all three methods, the novel automatic approach significantly shortened the time required for analysis and had high accuracy.
Graphic sketch of the methodologies used to evaluate bone tissue in histomorphometric analysis.</description><subject>Animals</subject><subject>automated image analysis</subject><subject>Automation</subject><subject>Bone growth</subject><subject>Bone healing</subject><subject>Bone matrix</subject><subject>bone regeneration</subject><subject>computer‐assisted</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Diabetes mellitus (insulin dependent)</subject><subject>Evaluation</subject><subject>Healing</subject><subject>Hyperbaric oxygen therapy</subject><subject>hyperbaric oxygenation</subject><subject>Image segmentation</subject><subject>Intravenous administration</subject><subject>Osteogenesis</subject><subject>Paraffin</subject><subject>Paraffins</subject><subject>Statistical analysis</subject><subject>Streptozocin</subject><subject>type 1 diabetes mellitus</subject><issn>1059-910X</issn><issn>1097-0029</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp90E1Lw0AQBuAgCtbqxV-w4EWE1J187a63UuoXrV4qeFs224nZkmRrNrH037s1njx4mmF4ZhjeILgEOgFKo9sN1t0kSoDzo2AEVLDQT8XxoU9FKIC-nwZnzm0oBUghGQXLad_ZWnW4JrltkJSoKtN8EPxSVa86Y5s78oI7orbb1ipdks6S0ji_Y9ttaWvsWqOJalS1d8adByeFqhxe_NZx8HY_X80ew8Xrw9Nsugh1HCc8TAXSOKG5iDVTBacsVqrQuog4ZlCAEhxolGcYCYoRW3NgIOICWAq50CrBeBxcD3f9U589uk7WxmmsKtWg7Z2MMg5JLJjIPL36Qze2b_2_XjHIBGScM69uBqVb61yLhdy2plbtXgKVh2TlIVn5k6zHMOCdqXD_j5TP8-Vq2PkGW3Z7VQ</recordid><startdate>202210</startdate><enddate>202210</enddate><creator>Linhares, Camila Rodrigues Borges</creator><creator>Rabelo, Gustavo Davi</creator><creator>Limirio, Pedro Henrique Justino Oliveira</creator><creator>Venâncio, Jessyca Figueira</creator><creator>Ribeiro Silva, Igor Gonçalves</creator><creator>Dechichi, Paula</creator><general>John Wiley & Sons, Inc</general><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QF</scope><scope>7QO</scope><scope>7QP</scope><scope>7QQ</scope><scope>7SC</scope><scope>7SE</scope><scope>7SP</scope><scope>7SR</scope><scope>7SS</scope><scope>7TA</scope><scope>7TB</scope><scope>7U5</scope><scope>7U7</scope><scope>8BQ</scope><scope>8FD</scope><scope>C1K</scope><scope>F28</scope><scope>FR3</scope><scope>H8D</scope><scope>H8G</scope><scope>JG9</scope><scope>JQ2</scope><scope>K9.</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>P64</scope><scope>RC3</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-0089-3772</orcidid><orcidid>https://orcid.org/0000-0001-5509-8138</orcidid><orcidid>https://orcid.org/0000-0001-9511-5078</orcidid></search><sort><creationdate>202210</creationdate><title>Automated bone healing evaluation: New approach to histomorphometric analysis</title><author>Linhares, Camila Rodrigues Borges ; Rabelo, Gustavo Davi ; Limirio, Pedro Henrique Justino Oliveira ; Venâncio, Jessyca Figueira ; Ribeiro Silva, Igor Gonçalves ; Dechichi, Paula</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3348-59e0340b93c7af8073aafccf28e61f1a98102b6e290e27d817193f1751b9ca4e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Animals</topic><topic>automated image analysis</topic><topic>Automation</topic><topic>Bone growth</topic><topic>Bone healing</topic><topic>Bone matrix</topic><topic>bone regeneration</topic><topic>computer‐assisted</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Diabetes mellitus (insulin dependent)</topic><topic>Evaluation</topic><topic>Healing</topic><topic>Hyperbaric oxygen therapy</topic><topic>hyperbaric oxygenation</topic><topic>Image segmentation</topic><topic>Intravenous administration</topic><topic>Osteogenesis</topic><topic>Paraffin</topic><topic>Paraffins</topic><topic>Statistical analysis</topic><topic>Streptozocin</topic><topic>type 1 diabetes mellitus</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Linhares, Camila Rodrigues Borges</creatorcontrib><creatorcontrib>Rabelo, Gustavo Davi</creatorcontrib><creatorcontrib>Limirio, Pedro Henrique Justino Oliveira</creatorcontrib><creatorcontrib>Venâncio, Jessyca Figueira</creatorcontrib><creatorcontrib>Ribeiro Silva, Igor Gonçalves</creatorcontrib><creatorcontrib>Dechichi, Paula</creatorcontrib><collection>CrossRef</collection><collection>Aluminium Industry Abstracts</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Ceramic Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Corrosion Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Materials Business File</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>Toxicology Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Copper Technical Reference Library</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Microscopy research and technique</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Linhares, Camila Rodrigues Borges</au><au>Rabelo, Gustavo Davi</au><au>Limirio, Pedro Henrique Justino Oliveira</au><au>Venâncio, Jessyca Figueira</au><au>Ribeiro Silva, Igor Gonçalves</au><au>Dechichi, Paula</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Automated bone healing evaluation: New approach to histomorphometric analysis</atitle><jtitle>Microscopy research and technique</jtitle><date>2022-10</date><risdate>2022</risdate><volume>85</volume><issue>10</issue><spage>3339</spage><epage>3346</epage><pages>3339-3346</pages><issn>1059-910X</issn><eissn>1097-0029</eissn><abstract>This study aimed to assess different approaches for bone healing evaluation on histological images and to introduce a new automatic evaluation method based on segmentation with distinct thresholds. We evaluated the hyperbaric oxygen therapy (HBO) effects on bone repair in type 1 diabetes mellitus rats. Twelve animals were divided into four groups (n = 3): non‐diabetic, non‐diabetic + HBO, diabetic, and diabetic + HBO. Diabetes was induced by intravenous administration of streptozotocin (50 mg/kg). Bone defects were created in femurs and HBO was immediately started at one session/day. After 7 days, the animals were euthanized, femurs were removed, demineralized, and embedded in paraffin. Histological sections were stained with hematoxylin and eosin (HE) and Mallory's trichrome (MT), and evaluated using three approaches: (1) conventional histomorphometric analysis (HE images) using a 144‐point grid to quantify the bone matrix; (2) a semi‐automatic method based on bone matrix segmentation to assess the bone matrix percentage (MT images); and (3) automatic approach, with the creation of a plug‐in for ImageJ software. The time required to perform the analysis in each method was measured and subjected to Bland–Altman statistical analysis. All three methods were satisfactory for measuring bone formation and were not statistically different. The automatic approach reduced the working time compared to visual grid and semi‐automated method (p < .01). Although histological evaluation of bone healing was performed successfully using all three methods, the novel automatic approach significantly shortened the time required for analysis and had high accuracy.
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| subjects | Animals automated image analysis Automation Bone growth Bone healing Bone matrix bone regeneration computer‐assisted Diabetes Diabetes mellitus Diabetes mellitus (insulin dependent) Evaluation Healing Hyperbaric oxygen therapy hyperbaric oxygenation Image segmentation Intravenous administration Osteogenesis Paraffin Paraffins Statistical analysis Streptozocin type 1 diabetes mellitus |
| title | Automated bone healing evaluation: New approach to histomorphometric analysis |
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