Semi‐automated imaging system to quantitate Her‐2/neu membrane receptor immunoreactivity in human breast cancer

Joshi, Aparna; Sharangpani, Girish M.; Porter, Kyle; Keyhani, Sedigheh; Morrison, Carl; Basu, Amitabha S.; Gholap, Gauri A.; Gholap, Abhi; Barsky, Sanford H.

doi:10.1002/cyto.a.20374

Cited by 47 publications

(36 citation statements)

References 12 publications

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“…[34][35][36] Rizzardi et al 37 also reported a good performance of computerassisted image classification and immunohistochemistry quantification in ovarian serous carci- noma. Our algorithms performed well in the highly varied histologic types of ovarian carcinoma, with a relatively low level of manual correction needed (B8%, data not shown).…”

Section: Discussionmentioning

confidence: 97%

Visual and automated assessment of matrix metalloproteinase-14 tissue expression for the evaluation of ovarian cancer prognosis

et al. 2014

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The purpose of this study was to evaluate whether the membrane type 1 matrix metalloproteinase-14 (or MT1-MMP) tissue expression, as assessed visually on digital slides and by digital image analysis, could predict outcomes in women with ovarian carcinoma. Tissue microarrays from a cohort of 211 ovarian carcinoma women who underwent a debulking surgery between 1993 and 2006 at the CHU de Québec (Canada) were immunostained for matrix metalloproteinase-14. The percentage of MMP-14 staining was assessed visually and with the Calopix software. Progression was evaluated using the CA-125 and/or the RECIST criteria according to the GCIG criteria. Dates of death were obtained by record linkage with the Qué bec mortality files. Adjusted hazard ratios of death and progression with their 95% confidence intervals were estimated using the Cox model. Comparisons between the two modalities of MMP-14 assessment were done using the box plots and the Kruskal-Wallis test. The highest levels of MMP-14 immunostaining were associated with nonserous histology, early FIGO stage, and low preoperative CA-125 levels (Po0.05). In bivariate analyses, the higher level of MMP-14 expression (440% of MMP-14-positive cells) was inversely associated with progression using visual assessment (hazard ratio ¼ 0.39; 95% confidence interval: 0.18-0.82). A similar association was observed with the highest quartile of MMP-14-positive area assessed by digital image analysis (hazard ratio ¼ 0.48; 95% confidence interval: 0.28-0.82). After adjustment for standard prognostic factors, these associations were no longer significant in the ovarian carcinoma cohort. However, in women with serous carcinoma, the highest quartile of MMP-14-positive area was associated with progression (adjusted hazard ratio ¼ 0.48; 95% confidence interval: 0.24-0.99). There was no association with overall survival. The digital image analysis of MMP-14-positive area matched the visual assessment using three categories (440% vs 21-40 vs o20%). Higher levels of MMP-14 immunostaining were associated with standard factors of better ovarian carcinoma prognosis. In women with serous carcinoma, high expression of MMP-14 was associated with lower progression. Modern Pathology (2014Pathology ( ) 27, 1394Pathology ( -1404 doi:10.1038/modpathol.2014 published online 7 March 2014 Keywords: digital image analysis; immunohistochemistry; matrix metalloproteinase-14; ovarian carcinoma; prognosisIn the western world, ovarian cancer is the leading cause of death among gynecological malignancies and the fifth leading cause of cancer death. 1-3 Most patients present with advanced stage disease, partly because of its anatomic location, nonspecific symptoms, and lack of reliable screening methods. Despite a high rate of complete remission rate after radical surgery followed by taxane and platinumbased chemotherapy, relapse occurs in the majority

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Section: Discussionmentioning

confidence: 97%

Visual and automated assessment of matrix metalloproteinase-14 tissue expression for the evaluation of ovarian cancer prognosis

et al. 2014

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“…In the literature, there are several publications on automatic detection and classification of nuclei and FISH analysis on fluorescent images (35)(36)(37) and complex automated segmentation methods for membrane and muscle fiber for example (31,38).…”

Section: Quantitative Imagingmentioning

confidence: 99%

“…Brightfield virtual microscopy or whole slide imaging (WSI)-the naming convention is not consistent yet-became commercially available and starts to be established in pathology (28)(29)(30)(31)(32). WSI means that complete sections, cytospins, and smears can be digitized automatically in high-enough resolution that is appropriate for diagnosis.…”

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confidence: 99%

Automated multichannel fluorescent whole slide imaging and its application for cytometry

Varga¹,

Ficsor²,

Kamaras³

et al. 2009

Cytometry Pt A

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Slide-based image cytometry (SBC) has several advantages over flow cytometry but it is not widely used because of its low throughput, complicated workflow, and high price. Fully automated microscopes became affordable with the advent of whole slide imaging (WSI) and they can be transformed into a cytometer. A MIRAX MIDI automated whole slide imager was used with metal-halide and light emitting diode (LED)-based fluorescent illumination, filter block changer, and a cooled monochrome charge coupled device camera. The MIRAX control software was further developed for fluorescent sample detection, autofocusing, multichannel digitization, and signal correction due to nonuniform illumination. Fluorescent calibration beads were used to verify the linearity of the system. The HistoQuant software package of the MIRAX viewer was used for image segmentation and quantitative analysis. The data was displayed by the histogram, scatter plot, and gallery functions of the same program. Fluorescent samples can be reliably detected, focused, and scanned. The measured integrated fluorescence showed linearity with exposure time and staining intensity. Automated fluorescent WSI with stable LED illumination and high-quality homogeneous fluorescent slides can be used conveniently for SBC. ' 2009 International Society for Advancement of Cytometry

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“…The analysis of immunohistochemical staining patterns usually measures speciWc single targets rather than the relatively complex and intricate disease patterns, for example those seen on haematoxylin and eosin staining, therefore immunohistochemical studies are inherently amenable to automated image analysis (Joshi et al 2007). Sources of variability in immunohistochemistry are numerous and include Wxation conditions, specimen pre-treatment, reagents, detection methods, and interpretation of results.…”

Section: Introductionmentioning

confidence: 99%

Virtual microscopy as an enabler of automated/quantitative assessment of protein expression in TMAs

Conway¹,

Dobson

O’Grady

et al. 2008

Histochem Cell Biol

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Tissue Microarrays facilitate high-throughput immuohistochemistry; however, there are key bottlenecks apparent in their analysis, particularly when conducting microscope-based manual reviews. Traditionally Tissue Microarray assessments were performed using a microscope where results were either transcribed or dictated and subsequently entered into flat-file spreadsheets. This process is labour intensive, prone to error and negates the advantages of the high-throughput Tissue Microarray format. In addition, human interpretations of staining intensity parameters are highly subjective and therefore prone to inter- and intra-observer variability. The advent of Virtual Slides has permitted the review of tissue slides across the Internet. In addition, this new technology enables the creation of software solutions to assist in the manual and automated review of Tissue Microarrays, through the use of computer aided image analysis. There are numerous academically developed and commercially available applications which assist in Tissue Microarray reviews; functionality of these systems range in complexity and application domains. The review which follows describes these systems and outlines technical considerations to be assessed when deciding on a Tissue Microarray workflow solution.

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Semi‐automated imaging system to quantitate Her‐2/neu membrane receptor immunoreactivity in human breast cancer

Cited by 47 publications

References 12 publications

Visual and automated assessment of matrix metalloproteinase-14 tissue expression for the evaluation of ovarian cancer prognosis

Visual and automated assessment of matrix metalloproteinase-14 tissue expression for the evaluation of ovarian cancer prognosis

Automated multichannel fluorescent whole slide imaging and its application for cytometry

Virtual microscopy as an enabler of automated/quantitative assessment of protein expression in TMAs

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