BACKGROUND: Automated scanning devices and image analysis software provide a means to overcome the limitations of manual semiquantitative scoring of immunohistochemistry. Common drawbacks to automated imaging systems include an inability to classify tissue type and an inability to segregate cytoplasmic and nuclear staining. METHODS: Immunohistochemistry for the membranous marker α-catenin, the cytoplasmic marker stathmin and the nuclear marker Ki-67 was performed on tissue microarrays (TMA) of archival formalin-fixed paraffin-embedded tissue comprising 471 (α-catenin and stathmin) and 511 (Ki-67) cases of prostate adenocarcinoma. These TMA were quantitatively analysed using two commercially available automated image analysers, the Ariol SL-50 system and the Nuance system from CRi. Both systems use brightfield microscopy for automated, unbiased and standardised quantification of immunohistochemistry, while the Nuance system has spectral deconvolution capabilities. RESULTS: Overall concordance between scores from both systems was excellent (r=0.90; 0.83-0.95). The software associated with the multispectral imager allowed accurate automated classification of tissue type into epithelial glandular structures and stroma, and a single-step segmentation of staining into cytoplasmic or nuclear compartments allowing independent evaluation of these areas. The Nuance system, however, was not able to distinguish reliably between tumour and non-tumour tissue. In addition, variance in the labour and time required for analysis between the two systems was also noted. CONCLUSION: Despite limitations, this study suggests some beneficial role for the use of a multispectral imaging system in automated analysis of immunohistochemistry.
BACKGROUND: Automated scanning devices and image analysis software provide a means to overcome the limitations of manual semiquantitative scoring of immunohistochemistry. Common drawbacks to automated imaging systems include an inability to classify tissue type and an inability to segregate cytoplasmic and nuclear staining. METHODS: Immunohistochemistry for the membranous marker α-catenin, the cytoplasmic marker stathmin and the nuclear marker Ki-67 was performed on tissue microarrays (TMA) of archival formalin-fixed paraffin-embedded tissue comprising 471 (α-catenin and stathmin) and 511 (Ki-67) cases of prostate adenocarcinoma. These TMA were quantitatively analysed using two commercially available automated image analysers, the Ariol SL-50 system and the Nuance system from CRi. Both systems use brightfield microscopy for automated, unbiased and standardised quantification of immunohistochemistry, while the Nuance system has spectral deconvolution capabilities. RESULTS: Overall concordance between scores from both systems was excellent (r=0.90; 0.83-0.95). The software associated with the multispectral imager allowed accurate automated classification of tissue type into epithelial glandular structures and stroma, and a single-step segmentation of staining into cytoplasmic or nuclear compartments allowing independent evaluation of these areas. The Nuance system, however, was not able to distinguish reliably between tumour and non-tumour tissue. In addition, variance in the labour and time required for analysis between the two systems was also noted. CONCLUSION: Despite limitations, this study suggests some beneficial role for the use of a multispectral imaging system in automated analysis of immunohistochemistry.
Authors: Amanda Psyrri; Ziwei Yu; Paul M Weinberger; Clarence Sasaki; Bruce Haffty; Robert Camp; David Rimm; Barbara Ann Burtness Journal: Clin Cancer Res Date: 2005-08-15 Impact factor: 12.531
Authors: Lao H Saal; Peter Johansson; Karolina Holm; Sofia K Gruvberger-Saal; Qing-Bai She; Matthew Maurer; Susan Koujak; Adolfo A Ferrando; Per Malmström; Lorenzo Memeo; Jorma Isola; Pär-Ola Bendahl; Neal Rosen; Hanina Hibshoosh; Markus Ringnér; Ake Borg; Ramon Parsons Journal: Proc Natl Acad Sci U S A Date: 2007-04-23 Impact factor: 11.205
Authors: Xiaowei Xu; Phyllis A Gimotty; Dupont Guerry; Giorgos Karakousis; Patricia Van Belle; Haohai Liang; Katharine Montone; Terry Pasha; Michael E Ming; Geza Acs; Michael Feldman; Stephen Barth; Rachel Hammond; Rosalie Elenitsas; Paul J Zhang; David E Elder Journal: Hum Pathol Date: 2008-04-28 Impact factor: 3.466
Authors: Jan-Erik Johansson; Ove Andrén; Swen-Olof Andersson; Paul W Dickman; Lars Holmberg; Anders Magnuson; Hans-Olov Adami Journal: JAMA Date: 2004-06-09 Impact factor: 56.272
Authors: Michelangelo Fiorentino; Giorgia Zadra; Emanuele Palescandolo; Giuseppe Fedele; Dyane Bailey; Christopher Fiore; Paul L Nguyen; Toshiro Migita; Raffaella Zamponi; Dolores Di Vizio; Carmen Priolo; Chandan Sharma; Wanling Xie; Martin E Hemler; Lorelei Mucci; Edward Giovannucci; Stephen Finn; Massimo Loda Journal: Lab Invest Date: 2008-10-06 Impact factor: 5.662
Authors: Richard Flavin; Andreas Pettersson; Whitney K Hendrickson; Michelangelo Fiorentino; Stephen Finn; Lauren Kunz; Gregory L Judson; Rosina Lis; Dyane Bailey; Christopher Fiore; Elizabeth Nuttall; Neil E Martin; Edward Stack; Kathryn L Penney; Jennifer R Rider; Jennifer Sinnott; Christopher Sweeney; Howard D Sesso; Katja Fall; Edward Giovannucci; Philip Kantoff; Meir Stampfer; Massimo Loda; Lorelei A Mucci Journal: Clin Cancer Res Date: 2014-03-31 Impact factor: 12.531
Authors: Daniel Kaemmerer; Maria Athelogou; Amelie Lupp; Isabell Lenhardt; Stefan Schulz; Peter Luisa; Merten Hommann; Vikas Prasad; Gerd Binnig; Richard Paul Baum Journal: Int J Clin Exp Pathol Date: 2014-07-15
Authors: An Sen Tan; Joe Poe Sheng Yeong; Chi Peng Timothy Lai; Chong Hui Clara Ong; Bernett Lee; Jeffrey Chun Tatt Lim; Aye Aye Thike; Jabed Iqbal; Rebecca Alexandra Dent; Elaine Hsuen Lim; Puay Hoon Tan Journal: Virchows Arch Date: 2019-08-12 Impact factor: 4.064
Authors: Neil E Martin; Travis Gerke; Jennifer A Sinnott; Edward C Stack; Ove Andrén; Swen-Olof Andersson; Jan-Erik Johansson; Michelangelo Fiorentino; Stephen Finn; Giuseppe Fedele; Meir Stampfer; Philip W Kantoff; Lorelei A Mucci; Massimo Loda Journal: Mol Cancer Res Date: 2015-06-29 Impact factor: 5.852