Journal Article
. 2015 Aug; 2015:498746.
doi: 10.1155/2015/498746.

Comparison of the manual, semiautomatic, and automatic selection and leveling of hot spots in whole slide images for Ki-67 quantification in meningiomas

Zaneta Swiderska 1 Anna Korzynska 2 Tomasz Markiewicz 3 Malgorzata Lorent 4 Jakub Zak 5 Anna Wesolowska 2 Lukasz Roszkowiak 2 Janina Slodkowska 4 Bartlomiej Grala 4 
Affiliations
  • PMID: 26240787
  •     31 References
  •     8 citations

Abstract

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.

Observer variability in the interpretation of HER2/neu immunohistochemical expression with unaided and computer-aided digital microscopy.
Marios A Gavrielides, Brandon D Gallas, +2 authors, Stephen M Hewitt.
Arch Pathol Lab Med, 2011 Feb 03; 135(2). PMID: 21284444    Free PMC article.
A visual latent semantic approach for automatic analysis and interpretation of anaplastic medulloblastoma virtual slides.
Angel Cruz-Roa, Fabio González, +5 authors, Eduardo Romero.
Med Image Comput Comput Assist Interv, 2013 Jan 05; 15(Pt 1). PMID: 23285547
Comparative analysis of methods for accurate recognition of cells through nuclei staining of Ki-67 in neuroblastoma and estrogen/progesterone status staining in breast cancer.
Tomasz Markiewicz, Piotr Wisniewski, +3 authors, Robert Koktysz.
Anal Quant Cytol Histol, 2009 Mar 27; 31(1). PMID: 19320193
Automated quantification of nuclear immunohistochemical markers with different complexity.
Carlos López, Marylène Lejeune, +8 authors, Joaquín Jaén.
Histochem Cell Biol, 2008 Jan 04; 129(3). PMID: 18172664
Digital slide and virtual microscopy based routine and telepathology evaluation of routine gastrointestinal biopsy specimens.
B Molnar, L Berczi, +4 authors, Z Tulassay.
J Clin Pathol, 2003 Jun 05; 56(6). PMID: 12783970    Free PMC article.
Sum and difference histograms for texture classification.
M Unser.
IEEE Trans Pattern Anal Mach Intell, 1986 Jan 01; 8(1). PMID: 21869331
Pathology imaging informatics for quantitative analysis of whole-slide images.
Sonal Kothari, John H Phan, Todd H Stokes, May D Wang.
J Am Med Inform Assoc, 2013 Aug 21; 20(6). PMID: 23959844    Free PMC article.
Highly Cited. Review.
Interpretation and quantification of immunostains.
T Seidal, A J Balaton, H Battifora.
Am J Surg Pathol, 2001 Nov 02; 25(9). PMID: 11688582
Review.
Towards an automated virtual slide screening: theoretical considerations and practical experiences of automated tissue-based virtual diagnosis to be implemented in the Internet.
Klaus Kayser, Dominik Radziszowski, +2 authors, Gian Kayser.
Diagn Pathol, 2006 Jun 13; 1. PMID: 16764733    Free PMC article.
New automated image analysis method for the assessment of Ki-67 labeling index in meningiomas.
Bartłomiej Grala, Tomasz Markiewicz, +3 authors, Wielisław Papierz.
Folia Histochem Cytobiol, 2009 Jan 01; 47(4). PMID: 20430724
TMA vessel segmentation based on color and morphological features: application to angiogenesis research.
M Milagro Fernández-Carrobles, Irene Tadeo, +4 authors, Marcial García-Rojo.
ScientificWorldJournal, 2014 Feb 04; 2013. PMID: 24489494    Free PMC article.
Observer performance in the use of digital and optical microscopy for the interpretation of tissue-based biomarkers.
Marios A Gavrielides, Catherine Conway, +2 authors, Stephen M Hewitt.
Anal Cell Pathol (Amst), 2014 Jan 01; 2014. PMID: 25763314    Free PMC article.
Assessment and prognostic significance of mitotic index using the mitosis marker phospho-histone H3 in low and intermediate-grade infiltrating astrocytomas.
Howard Colman, Caterina Giannini, +9 authors, Ken Aldape.
Am J Surg Pathol, 2006 May 16; 30(5). PMID: 16699322
Validation of various adaptive threshold methods of segmentation applied to follicular lymphoma digital images stained with 3,3'-Diaminobenzidine&Haematoxylin.
Anna Korzynska, Lukasz Roszkowiak, +3 authors, Marylene Lejeune.
Diagn Pathol, 2013 Mar 28; 8. PMID: 23531405    Free PMC article.
Comparison of virtual microscopy and glass slide microscopy among dermatology residents during a simulated in-training examination.
Katherine E Brick, Jason C Sluzevich, +3 authors, Carilyn N Wieland.
J Cutan Pathol, 2013 Jul 03; 40(9). PMID: 23808673
The significance of immunohistochemical expression of Ki-67, p53, p21, and p16 in meningiomas tissue arrays.
Aysen Terzi, E Arzu Saglam, Anil Barak, Figen Soylemezoglu.
Pathol Res Pract, 2008 Apr 01; 204(5). PMID: 18374497
Immunohistochemical patterns of reactive microenvironment are associated with clinicobiologic behavior in follicular lymphoma patients.
Tomás Alvaro, Marylène Lejeune, +4 authors, Lluis E Pons.
J Clin Oncol, 2006 Dec 01; 24(34). PMID: 17135637
Achieving the way for automated segmentation of nuclei in cancer tissue images through morphology-based approach: a quantitative evaluation.
S Di Cataldo, E Ficarra, A Acquaviva, E Macii.
Comput Med Imaging Graph, 2010 Jan 12; 34(6). PMID: 20060681
Digital image analysis in breast cancer: an example of an automated methodology and the effects of image compression.
Carlos López, Marylène Lejeune, +7 authors, Joaquín Jaén.
Stud Health Technol Inform, 2012 Aug 29; 179. PMID: 22925796
Significance of MIB-1 staining indices in meningiomas: comparison of two counting methods.
S Nakasu, D H Li, +2 authors, M Matsuda.
Am J Surg Pathol, 2001 Mar 21; 25(4). PMID: 11257621
Primary histologic diagnosis using automated whole slide imaging: a validation study.
John R Gilbertson, Jonhan Ho, +3 authors, Anil V Parwani.
BMC Clin Pathol, 2006 Apr 29; 6. PMID: 16643664    Free PMC article.
Comparing virtual with conventional microscopy for the consensus diagnosis of Barrett's neoplasia in the AspECT Barrett's chemoprevention trial pathology audit.
D S A Sanders, H Grabsch, +8 authors, AspECT Trial Management Group andTrial Principal Investigators.
Histopathology, 2012 Jun 22; 61(5). PMID: 22716297
Validating whole slide imaging for diagnostic purposes in pathology: guideline from the College of American Pathologists Pathology and Laboratory Quality Center.
Liron Pantanowitz, John H Sinard, +8 authors, College of American Pathologists Pathology and Laboratory Quality Center.
Arch Pathol Lab Med, 2013 May 03; 137(12). PMID: 23634907    Free PMC article.
Highly Cited. Review.
Image processing for accurate cell recognition and count on histologic slides.
Tomasz Markiewicz, Stanislaw Osowski, Janusz Patera, Wojciech Kozlowski.
Anal Quant Cytol Histol, 2006 Oct 28; 28(5). PMID: 17067010
Review of meningioma histopathology.
Deborah L Commins, Roscoe D Atkinson, Margaret E Burnett.
Neurosurg Focus, 2007 Oct 27; 23(4). PMID: 17961040
Review.
Review of imaging solutions for integrated quantitative immunohistochemistry in the Pathology daily practice.
Marcial García Rojo, Gloria Bueno, Janina Slodkowska.
Folia Histochem Cytobiol, 2010 Feb 19; 47(3). PMID: 20164017
Review.
Multi-resolution graph-based analysis of histopathological whole slide images: application to mitotic cell extraction and visualization.
Vincent Roullier, Olivier Lézoray, Vinh-Thong Ta, Abderrahim Elmoataz.
Comput Med Imaging Graph, 2011 May 24; 35(7-8). PMID: 21600733
Diagnostic reproducibility of tumour budding in colorectal cancer: a multicentre, multinational study using virtual microscopy.
Giacomo Puppa, Carlo Senore, +15 authors, Mauro Risio.
Histopathology, 2012 Jul 07; 61(4). PMID: 22765314
Automated Selection of Hotspots (ASH): enhanced automated segmentation and adaptive step finding for Ki67 hotspot detection in adrenal cortical cancer.
Hao Lu, Thomas G Papathomas, +5 authors, Andrew P Stubbs.
Diagn Pathol, 2014 Nov 26; 9. PMID: 25421287    Free PMC article.
Automated segmentation of tissue images for computerized IHC analysis.
S Di Cataldo, E Ficarra, A Acquaviva, E Macii.
Comput Methods Programs Biomed, 2010 Apr 03; 100(1). PMID: 20359767
A parallel solution for high resolution histological image analysis.
G Bueno, R González, +5 authors, J Salido.
Comput Methods Programs Biomed, 2012 Apr 24; 108(1). PMID: 22522064
Content-based analysis of Ki-67 stained meningioma specimens for automatic hot-spot selection.
Zaneta Swiderska-Chadaj, Tomasz Markiewicz, Bartlomiej Grala, Malgorzata Lorent.
Diagn Pathol, 2016 Oct 09; 11(1). PMID: 27717363    Free PMC article.
An Advanced Deep Learning Approach for Ki-67 Stained Hotspot Detection and Proliferation Rate Scoring for Prognostic Evaluation of Breast Cancer.
Monjoy Saha, Chandan Chakraborty, +2 authors, Sanjoy Chatterjee.
Sci Rep, 2017 Jun 14; 7(1). PMID: 28607456    Free PMC article.
Impact of Her-2 Overexpression on Survival of Patients with Metastatic Breast Cancer
Giovana Tavares dos Santos, Natália Dressler Camillo, +6 authors, Claudia Giuliano Bica.
Asian Pac J Cancer Prev, 2017 Oct 27; 18(10). PMID: 29072390    Free PMC article.
Evaluation of the proliferation marker Ki-67 in gliomas: Interobserver variability and digital quantification.
Ljudmilla A G Nielsen, Julie A Bangsø, +4 authors, Bjarne W Kristensen.
Diagn Pathol, 2018 Jun 11; 13(1). PMID: 29885671    Free PMC article.
Molecular profiling predicts meningioma recurrence and reveals loss of DREAM complex repression in aggressive tumors.
Akash J Patel, Ying-Wooi Wan, +19 authors, Tiemo J Klisch.
Proc Natl Acad Sci U S A, 2019 Oct 09; 116(43). PMID: 31591222    Free PMC article.
Improving the accuracy of gastrointestinal neuroendocrine tumor grading with deep learning.
Darshana Govind, Kuang-Yu Jen, +6 authors, Pinaki Sarder.
Sci Rep, 2020 Jul 08; 10(1). PMID: 32632119    Free PMC article.
Mitotic and Proliferative Indices in WHO Grade III Meningioma.
Andrea Daniela Maier, Christian Beltoft Brøchner, +4 authors, Tiit Mathiesen.
Cancers (Basel), 2020 Nov 18; 12(11). PMID: 33198268    Free PMC article.
piNET-An Automated Proliferation Index Calculator Framework for Ki67 Breast Cancer Images.
Rokshana Stephny Geread, Abishika Sivanandarajah, +4 authors, April Khademi.
Cancers (Basel), 2020 Dec 31; 13(1). PMID: 33375043    Free PMC article.