Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent
Mitotic count (MC) is an important element for grading canine cutaneous mast cell tumors (ccMCTs) and is determined in 10 consecutive high-power fields with the highest mitotic activity. However, there is variability in area selection between pathologists. In this study, the MC distribution and the...
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| Veröffentlicht in: | Veterinary pathology 2020-03, Vol.57 (2), p.214-226 |
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| creator | Bertram, Christof A. Aubreville, Marc Gurtner, Corinne Bartel, Alexander Corner, Sarah M. Dettwiler, Martina Kershaw, Olivia Noland, Erica L. Schmidt, Anja Sledge, Dodd G. Smedley, Rebecca C. Thaiwong, Tuddow Kiupel, Matti Maier, Andreas Klopfleisch, Robert |
| description | Mitotic count (MC) is an important element for grading canine cutaneous mast cell tumors (ccMCTs) and is determined in 10 consecutive high-power fields with the highest mitotic activity. However, there is variability in area selection between pathologists. In this study, the MC distribution and the effect of area selection on the MC were analyzed in ccMCTs. Two pathologists independently annotated all mitotic figures in whole-slide images of 28 ccMCTs (ground truth). Automated image analysis was used to examine the ground truth distribution of the MC throughout the tumor section area, which was compared with the manual MCs of 11 pathologists. Computerized analysis demonstrated high variability of the MC within different tumor areas. There were 6 MCTs with consistently low MCs (MC |
| doi_str_mv | 10.1177/0300985819890686 |
| format | Article |
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However, there is variability in area selection between pathologists. In this study, the MC distribution and the effect of area selection on the MC were analyzed in ccMCTs. Two pathologists independently annotated all mitotic figures in whole-slide images of 28 ccMCTs (ground truth). Automated image analysis was used to examine the ground truth distribution of the MC throughout the tumor section area, which was compared with the manual MCs of 11 pathologists. Computerized analysis demonstrated high variability of the MC within different tumor areas. There were 6 MCTs with consistently low MCs (MC<7 in all tumor areas), 13 cases with mostly high MCs (MC ≥7 in ≥75% of 10 high-power field areas), and 9 borderline cases with variable MCs around 7, which is a cutoff value for ccMCT grading. There was inconsistency among pathologists in identifying the areas with the highest density of mitotic figures throughout the 3 ccMCT groups; only 51.9% of the counts were consistent with the highest 25% of the ground truth MC distribution. Regardless, there was substantial agreement between pathologists in detecting tumors with MC ≥7. Falsely low MCs below 7 mainly occurred in 4 of 9 borderline cases that had very few ground truth areas with MC ≥7. The findings of this study highlight the need to further standardize how to select the region of the tumor in which to determine the MC.</description><identifier>ISSN: 0300-9858</identifier><identifier>EISSN: 1544-2217</identifier><identifier>DOI: 10.1177/0300985819890686</identifier><identifier>PMID: 31808382</identifier><language>eng</language><publisher>Los Angeles, CA: SAGE Publications</publisher><subject>Animals ; Cell Count - veterinary ; Dog Diseases - pathology ; Dogs ; Histological Techniques - veterinary ; Image Processing, Computer-Assisted ; Mast Cells - pathology ; Mitotic Index - veterinary ; Neoplasm Grading - veterinary ; Observer Variation ; Pathologists ; Skin Neoplasms - pathology ; Skin Neoplasms - veterinary ; Software</subject><ispartof>Veterinary pathology, 2020-03, Vol.57 (2), p.214-226</ispartof><rights>The Author(s) 2019</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-a8754114be781271f3aefe0f9e04afb3141ec8553d38a3344c2e6b2df6d5974a3</citedby><cites>FETCH-LOGICAL-c379t-a8754114be781271f3aefe0f9e04afb3141ec8553d38a3344c2e6b2df6d5974a3</cites><orcidid>0000-0002-1280-6138 ; 0000-0003-4429-9529 ; 0000-0002-6308-0568 ; 0000-0001-9404-7122 ; 0000-0002-2402-9997</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://journals.sagepub.com/doi/pdf/10.1177/0300985819890686$$EPDF$$P50$$Gsage$$H</linktopdf><linktohtml>$$Uhttps://journals.sagepub.com/doi/10.1177/0300985819890686$$EHTML$$P50$$Gsage$$H</linktohtml><link.rule.ids>314,776,780,21798,27901,27902,43597,43598</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31808382$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bertram, Christof A.</creatorcontrib><creatorcontrib>Aubreville, Marc</creatorcontrib><creatorcontrib>Gurtner, Corinne</creatorcontrib><creatorcontrib>Bartel, Alexander</creatorcontrib><creatorcontrib>Corner, Sarah M.</creatorcontrib><creatorcontrib>Dettwiler, Martina</creatorcontrib><creatorcontrib>Kershaw, Olivia</creatorcontrib><creatorcontrib>Noland, Erica L.</creatorcontrib><creatorcontrib>Schmidt, Anja</creatorcontrib><creatorcontrib>Sledge, Dodd G.</creatorcontrib><creatorcontrib>Smedley, Rebecca C.</creatorcontrib><creatorcontrib>Thaiwong, Tuddow</creatorcontrib><creatorcontrib>Kiupel, Matti</creatorcontrib><creatorcontrib>Maier, Andreas</creatorcontrib><creatorcontrib>Klopfleisch, Robert</creatorcontrib><title>Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent</title><title>Veterinary pathology</title><addtitle>Vet Pathol</addtitle><description>Mitotic count (MC) is an important element for grading canine cutaneous mast cell tumors (ccMCTs) and is determined in 10 consecutive high-power fields with the highest mitotic activity. However, there is variability in area selection between pathologists. In this study, the MC distribution and the effect of area selection on the MC were analyzed in ccMCTs. Two pathologists independently annotated all mitotic figures in whole-slide images of 28 ccMCTs (ground truth). Automated image analysis was used to examine the ground truth distribution of the MC throughout the tumor section area, which was compared with the manual MCs of 11 pathologists. Computerized analysis demonstrated high variability of the MC within different tumor areas. There were 6 MCTs with consistently low MCs (MC<7 in all tumor areas), 13 cases with mostly high MCs (MC ≥7 in ≥75% of 10 high-power field areas), and 9 borderline cases with variable MCs around 7, which is a cutoff value for ccMCT grading. There was inconsistency among pathologists in identifying the areas with the highest density of mitotic figures throughout the 3 ccMCT groups; only 51.9% of the counts were consistent with the highest 25% of the ground truth MC distribution. Regardless, there was substantial agreement between pathologists in detecting tumors with MC ≥7. Falsely low MCs below 7 mainly occurred in 4 of 9 borderline cases that had very few ground truth areas with MC ≥7. The findings of this study highlight the need to further standardize how to select the region of the tumor in which to determine the MC.</description><subject>Animals</subject><subject>Cell Count - veterinary</subject><subject>Dog Diseases - pathology</subject><subject>Dogs</subject><subject>Histological Techniques - veterinary</subject><subject>Image Processing, Computer-Assisted</subject><subject>Mast Cells - pathology</subject><subject>Mitotic Index - veterinary</subject><subject>Neoplasm Grading - veterinary</subject><subject>Observer Variation</subject><subject>Pathologists</subject><subject>Skin Neoplasms - pathology</subject><subject>Skin Neoplasms - veterinary</subject><subject>Software</subject><issn>0300-9858</issn><issn>1544-2217</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp1kLtOxDAQRS0EgmWhp0IuaQJ-JXboUJaXBKJgqSMnmSCjxF78KKDmw8myQIFENcU9czRzETqi5JRSKc8IJ6RUuaKlKkmhii00o7kQGWNUbqPZOs7W-R7aD-GFEMZKJXfRHqeKKK7YDH1UblylCN68Q4crPbRp0NE4i12P70100bS4cslGvDAhetOkr9TYCbbGAq5S1BZcCvheh4grGAa8TKPz-BHaNRvO_4huA77woPECVmA7sPEA7fR6CHD4Pefo6epyWd1kdw_Xt9XFXdZyWcZMK5kLSkUDUlEmac819ED6EojQfcOpoNCqPOcdV5pzIVoGRcO6vujyUgrN5-hk411595ogxHo0oZ0O3jxQM84mLSk4n1CyQVvvQvDQ1ytvRu3fakrqdff13-6nleNve2pG6H4XfsqegGwDBP0M9YtL3k7f_i_8BFSbjNc</recordid><startdate>202003</startdate><enddate>202003</enddate><creator>Bertram, Christof A.</creator><creator>Aubreville, Marc</creator><creator>Gurtner, Corinne</creator><creator>Bartel, Alexander</creator><creator>Corner, Sarah M.</creator><creator>Dettwiler, Martina</creator><creator>Kershaw, Olivia</creator><creator>Noland, Erica L.</creator><creator>Schmidt, Anja</creator><creator>Sledge, Dodd G.</creator><creator>Smedley, Rebecca C.</creator><creator>Thaiwong, Tuddow</creator><creator>Kiupel, Matti</creator><creator>Maier, Andreas</creator><creator>Klopfleisch, Robert</creator><general>SAGE Publications</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>7X8</scope><orcidid>https://orcid.org/0000-0002-1280-6138</orcidid><orcidid>https://orcid.org/0000-0003-4429-9529</orcidid><orcidid>https://orcid.org/0000-0002-6308-0568</orcidid><orcidid>https://orcid.org/0000-0001-9404-7122</orcidid><orcidid>https://orcid.org/0000-0002-2402-9997</orcidid></search><sort><creationdate>202003</creationdate><title>Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent</title><author>Bertram, Christof A. ; 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However, there is variability in area selection between pathologists. In this study, the MC distribution and the effect of area selection on the MC were analyzed in ccMCTs. Two pathologists independently annotated all mitotic figures in whole-slide images of 28 ccMCTs (ground truth). Automated image analysis was used to examine the ground truth distribution of the MC throughout the tumor section area, which was compared with the manual MCs of 11 pathologists. Computerized analysis demonstrated high variability of the MC within different tumor areas. There were 6 MCTs with consistently low MCs (MC<7 in all tumor areas), 13 cases with mostly high MCs (MC ≥7 in ≥75% of 10 high-power field areas), and 9 borderline cases with variable MCs around 7, which is a cutoff value for ccMCT grading. There was inconsistency among pathologists in identifying the areas with the highest density of mitotic figures throughout the 3 ccMCT groups; only 51.9% of the counts were consistent with the highest 25% of the ground truth MC distribution. Regardless, there was substantial agreement between pathologists in detecting tumors with MC ≥7. Falsely low MCs below 7 mainly occurred in 4 of 9 borderline cases that had very few ground truth areas with MC ≥7. 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| ispartof | Veterinary pathology, 2020-03, Vol.57 (2), p.214-226 |
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| subjects | Animals Cell Count - veterinary Dog Diseases - pathology Dogs Histological Techniques - veterinary Image Processing, Computer-Assisted Mast Cells - pathology Mitotic Index - veterinary Neoplasm Grading - veterinary Observer Variation Pathologists Skin Neoplasms - pathology Skin Neoplasms - veterinary Software |
| title | Computerized Calculation of Mitotic Count Distribution in Canine Cutaneous Mast Cell Tumor Sections: Mitotic Count Is Area Dependent |
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