دورية أكاديمية
أعرض في EDS

Ki-67 proliferation index in neuroendocrine tumors: Can augmented reality microscopy with image analysis improve scoring?

التفاصيل البيبلوغرافية
العنوان: Ki-67 proliferation index in neuroendocrine tumors: Can augmented reality microscopy with image analysis improve scoring?
المؤلفون: Satturwar SP; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA., Pantanowitz JL; Department of Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Manko CD; Department of Biology, University of Pittsburgh, Pittsburgh, Pennsylvania, USA., Seigh L; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA., Monaco SE; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA., Pantanowitz L; Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
المصدر: Cancer cytopathology [Cancer Cytopathol] 2020 Aug; Vol. 128 (8), pp. 535-544. Date of Electronic Publication: 2020 May 13.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Wiley-Blackwell Country of Publication: United States NLM ID: 101499453 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1934-6638 (Electronic) Linking ISSN: 1934662X NLM ISO Abbreviation: Cancer Cytopathol Subsets: MEDLINE
أسماء مطبوعة: Original Publication: Hoboken, NJ : Wiley-Blackwell
مواضيع طبية MeSH: Augmented Reality* , Cell Proliferation*, Biomarkers, Tumor/*analysis , Image Processing, Computer-Assisted/*methods , Ki-67 Antigen/*analysis , Microscopy/*methods , Neuroendocrine Tumors/*pathology, Humans ; Liver Neoplasms/secondary ; Neoplasm Grading ; Neuroendocrine Tumors/immunology ; Pancreatic Neoplasms/immunology ; Pancreatic Neoplasms/pathology
مستخلص: Background: The Ki-67 index is important for grading neuroendocrine tumors (NETs) in cytology. However, different counting methods exist. Recently, augmented reality microscopy (ARM) has enabled real-time image analysis using glass slides. The objective of the current study was to compare different traditional Ki-67 scoring methods in cell block material with newer methods such as ARM.
Methods: Ki-67 immunostained slides from 50 NETs of varying grades were retrieved (39 from the pancreas and 11 metastases). Methods with which to quantify the Ki-67 index in up to 3 hot spots included: 1) "eyeball" estimation (EE); 2) printed image manual counting (PIMC); 3) ARM with live image analysis; and 4) image analysis using whole-slide images (WSI) (field of view [FOV] and the entire slide).
Results: The Ki-67 index obtained using the different methods varied. The pairwise kappa results varied from no agreement for image analysis using digital image analysis WSI (FOV) and histology to near-perfect agreement for ARM and PIMC. Using surgical pathology as the gold standard, the EE method was found to have the highest concordance rate (84.2%), followed by WSI analysis of the entire slide (73.7%) and then both the ARM and PIMC methods (63.2% for both). The PIMC method was the most time-consuming whereas image analysis using WSI (FOV) was the fastest method followed by ARM.
Conclusions: The Ki-67 index for NETs in cell block material varied by the method used for scoring, which may affect grade. PIMC was the most time-consuming method, and EE had the highest concordance rate. Although real-time automated counting using image analysis demonstrated inaccuracies, ARM streamlined and hastened the task of Ki-67 quantification in NETs.
(© 2020 American Cancer Society.)
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فهرسة مساهمة: Keywords: Ki-67 quantification; augmented reality microscope; cell block; digital image analysis; manual count; neuroendocrine tumors
المشرفين على المادة: 0 (Biomarkers, Tumor)
0 (Ki-67 Antigen)
تواريخ الأحداث: Date Created: 20200514 Date Completed: 20201118 Latest Revision: 20201118
رمز التحديث: 20240829
DOI: 10.1002/cncy.22272
PMID: 32401429
قاعدة البيانات: MEDLINE
الوصف
تدمد:1934-6638
DOI:10.1002/cncy.22272