Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas
Background. This paper presents the study concerning hot-spot selection in the assessment of whole slide images of tissue sections collected from meningioma patients. The samples were immunohistochemically stained to determine the Ki-67/MIB-1 proliferation index used for prognosis and treatment plan...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | Analytical Cellular Pathology |
| Online Access: | http://dx.doi.org/10.1155/2015/498746 |
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| author | Zaneta Swiderska Anna Korzynska Tomasz Markiewicz Malgorzata Lorent Jakub Zak Anna Wesolowska Lukasz Roszkowiak Janina Slodkowska Bartlomiej Grala |
| author_facet | Zaneta Swiderska Anna Korzynska Tomasz Markiewicz Malgorzata Lorent Jakub Zak Anna Wesolowska Lukasz Roszkowiak Janina Slodkowska Bartlomiej Grala |
| author_sort | Zaneta Swiderska |
| collection | DOAJ |
| description | Background. This paper presents the study concerning hot-spot selection in the assessment of whole slide images of tissue sections collected from meningioma patients. The samples were immunohistochemically stained to determine the Ki-67/MIB-1 proliferation index used for prognosis and treatment planning. Objective. The observer performance was examined by comparing results of the proposed method of automatic hot-spot selection in whole slide images, results of traditional scoring under a microscope, and results of a pathologist’s manual hot-spot selection. Methods. The results of scoring the Ki-67 index using optical scoring under a microscope, software for Ki-67 index quantification based on hot spots selected by two pathologists (resp., once and three times), and the same software but on hot spots selected by proposed automatic methods were compared using Kendall’s tau-b statistics. Results. Results show intra- and interobserver agreement. The agreement between Ki-67 scoring with manual and automatic hot-spot selection is high, while agreement between Ki-67 index scoring results in whole slide images and traditional microscopic examination is lower. Conclusions. The agreement observed for the three scoring methods shows that automation of area selection is an effective tool in supporting physicians and in increasing the reliability of Ki-67 scoring in meningioma. |
| format | Article |
| id | doaj-art-b84f294f457b444d9a62a6c5b0575ce6 |
| institution | Kabale University |
| issn | 2210-7177 2210-7185 |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Analytical Cellular Pathology |
| spelling | doaj-art-b84f294f457b444d9a62a6c5b0575ce62025-02-03T06:06:41ZengWileyAnalytical Cellular Pathology2210-71772210-71852015-01-01201510.1155/2015/498746498746Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in MeningiomasZaneta Swiderska0Anna Korzynska1Tomasz Markiewicz2Malgorzata Lorent3Jakub Zak4Anna Wesolowska5Lukasz Roszkowiak6Janina Slodkowska7Bartlomiej Grala8Warsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, PolandNalecz Institute of Biocybernetics and Biomedical Engineering PAS, Trojdena 4, 02-109 Warsaw, PolandWarsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, PolandMilitary Institute of Medicine, Szaserow 128, 04-141 Warsaw, PolandWarsaw University of Technology, Pl. Politechniki 1, 00-661 Warsaw, PolandNalecz Institute of Biocybernetics and Biomedical Engineering PAS, Trojdena 4, 02-109 Warsaw, PolandNalecz Institute of Biocybernetics and Biomedical Engineering PAS, Trojdena 4, 02-109 Warsaw, PolandMilitary Institute of Medicine, Szaserow 128, 04-141 Warsaw, PolandMilitary Institute of Medicine, Szaserow 128, 04-141 Warsaw, PolandBackground. This paper presents the study concerning hot-spot selection in the assessment of whole slide images of tissue sections collected from meningioma patients. The samples were immunohistochemically stained to determine the Ki-67/MIB-1 proliferation index used for prognosis and treatment planning. Objective. The observer performance was examined by comparing results of the proposed method of automatic hot-spot selection in whole slide images, results of traditional scoring under a microscope, and results of a pathologist’s manual hot-spot selection. Methods. The results of scoring the Ki-67 index using optical scoring under a microscope, software for Ki-67 index quantification based on hot spots selected by two pathologists (resp., once and three times), and the same software but on hot spots selected by proposed automatic methods were compared using Kendall’s tau-b statistics. Results. Results show intra- and interobserver agreement. The agreement between Ki-67 scoring with manual and automatic hot-spot selection is high, while agreement between Ki-67 index scoring results in whole slide images and traditional microscopic examination is lower. Conclusions. The agreement observed for the three scoring methods shows that automation of area selection is an effective tool in supporting physicians and in increasing the reliability of Ki-67 scoring in meningioma.http://dx.doi.org/10.1155/2015/498746 |
| spellingShingle | Zaneta Swiderska Anna Korzynska Tomasz Markiewicz Malgorzata Lorent Jakub Zak Anna Wesolowska Lukasz Roszkowiak Janina Slodkowska Bartlomiej Grala Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas Analytical Cellular Pathology |
| title | Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas |
| title_full | Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas |
| title_fullStr | Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas |
| title_full_unstemmed | Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas |
| title_short | Comparison of the Manual, Semiautomatic, and Automatic Selection and Leveling of Hot Spots in Whole Slide Images for Ki-67 Quantification in Meningiomas |
| title_sort | comparison of the manual semiautomatic and automatic selection and leveling of hot spots in whole slide images for ki 67 quantification in meningiomas |
| url | http://dx.doi.org/10.1155/2015/498746 |
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