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"Digital pathology"

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https://www.readbyqxmd.com/read/28325451/multiview-boosting-digital-pathology-analysis-of-prostate-cancer
#1
Jin Tae Kwak, Stephen M Hewitt
BACKGROUND AND OBJECTIVE: Various digital pathology tools have been developed to aid in analyzing tissues and improving cancer pathology. The multi-resolution nature of cancer pathology, however, has not been fully analyzed and utilized. Here, we develop an automated, cooperative, and multi-resolution method for improving prostate cancer diagnosis. METHODS: Digitized tissue specimen images are obtained from 5 tissue microarrays (TMAs). The TMAs include 70 benign and 135 cancer samples (TMA1), 74 benign and 89 cancer samples (TMA2), 70 benign and 115 cancer samples (TMA3), 79 benign and 82 cancer samples (TMA4), and 72 benign and 86 cancer samples (TMA5)...
April 2017: Computer Methods and Programs in Biomedicine
https://www.readbyqxmd.com/read/28320627/maximal-ambient-noise-levels-and-type-of-voice-material-required-for-valid-use-of-smartphones-in-clinical-voice-research
#2
Jean Lebacq, Jean Schoentgen, Giovanna Cantarella, Franz Thomas Bruss, Claudia Manfredi, Philippe DeJonckere
PURPOSE: Smartphone technology provides new opportunities for recording standardized voice samples of patients and transmitting the audio files to the voice laboratory. This drastically improves the achievement of baseline designs, used in research on efficiency of voice treatments. However, the basic requirement is the suitability of smartphones for recording and digitizing pathologic voices (mainly characterized by period perturbations and noise) without significant distortion. In a previous article, this was tested using realistic synthesized deviant voice samples (/a:/) with three precisely known levels of jitter and of noise in all combinations...
March 17, 2017: Journal of Voice: Official Journal of the Voice Foundation
https://www.readbyqxmd.com/read/28275608/design-and-implementation-of-the-retinoblastoma-collaborative-laboratory
#3
Seemi Qaiser, Alice Limo, Josiah Gichana, Kahaki Kimani, Jessie Githanga, Wairimu Waweru, Elizabeth A O Dimba, Helen Dimaras
PURPOSE: The purpose of this work was to describe the design and implementation of a digital pathology laboratory, the Retinoblastoma Collaborative Laboratory (RbCoLab) in Kenya. METHOD: The RbCoLab is a central lab in Nairobi that receives retinoblastoma specimens from all over Kenya. Specimens were processed using evidence-based standard operating procedures. Images were produced by a digital scanner, and pathology reports were disseminated online. RESULTS: The lab implemented standard operating procedures aimed at improving the accuracy, completeness, and timeliness of pathology reports, enhancing the care of Kenyan retinoblastoma patients...
January 2017: Ocular Oncology and Pathology
https://www.readbyqxmd.com/read/28236118/expression-of-vista-correlated-with-immunosuppression-and-synergized-with-cd8-to-predict-survival-in-human-oral-squamous-cell-carcinoma
#4
Lei Wu, Wei-Wei Deng, Cong-Fa Huang, Lin-Lin Bu, Guang-Tao Yu, Liang Mao, Wen-Feng Zhang, Bing Liu, Zhi-Jun Sun
V-domain Ig suppressor of T cell activation (VISTA), a novel immune checkpoint regulatory molecule, suppresses T cell mediated immune responses. The aim of the present study was to profile the immunological expression, clinical significance and correlation of VISTA in human oral squamous cell carcinoma (OSCC). Human tissue microarrays, containing 165 primary OSCCs, 48 oral epithelial dysplasias and 43 normal oral mucosae, were applied to investigate the expression levels of VISTA, CD8, cytotoxic T lymphocyte-associated antigen 4 (CTLA-4), programmed death ligand 1 (PD-L1), PI3Kα p110, IL13Rα2, phospho-STAT3 at tyrosine 705 (p-STAT3) and myeloid-derived suppressor cell (MDSC) markers (CD11b and CD33) by immunohistochemistry and digital pathology analysis...
February 24, 2017: Cancer Immunology, Immunotherapy: CII
https://www.readbyqxmd.com/read/28220842/image-processing-in-digital-pathology-an-opportunity-to-solve-inter-batch-variability-of-immunohistochemical-staining
#5
Yves-Rémi Van Eycke, Justine Allard, Isabelle Salmon, Olivier Debeir, Christine Decaestecker
Immunohistochemistry (IHC) is a widely used technique in pathology to evidence protein expression in tissue samples. However, this staining technique is known for presenting inter-batch variations. Whole slide imaging in digital pathology offers a possibility to overcome this problem by means of image normalisation techniques. In the present paper we propose a methodology to objectively evaluate the need of image normalisation and to identify the best way to perform it. This methodology uses tissue microarray (TMA) materials and statistical analyses to evidence the possible variations occurring at colour and intensity levels as well as to evaluate the efficiency of image normalisation methods in correcting them...
February 21, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28193010/variations-in-the-abundance-of-lipid-biomarker-ions-in-mass-spectrometry-images-correlate-to-tissue-density
#6
Jade Bilkey, Alessandra Tata, Trevor D McKee, Andreia M Porcari, Emma Bluemke, Michael Woolman, Manuela Ventura, Marcos N Eberlin, Arash Zarrine-Afsar
While mass spectrometry (MS) imaging is widely used to investigate the molecular composition of ex vivo slices of cancerous tumors, little is known about how variations in the cellular properties of cancer tissue can influence cancer biomarker ion images. To better understand the basis for variations in the abundances of cancer biomarker ions seen in MS images of relatively homogeneous ex vivo tumor samples, sections of snap frozen human breast cancer murine xenografts were subjected to desorption electrospray ionization mass spectrometry (DESI-MS) imaging...
December 20, 2016: Analytical Chemistry
https://www.readbyqxmd.com/read/28179316/correlation-of-blood-t-cells-to-intratumoural-density-and-location-of-cd3-and-cd8-t-cells-in-colorectal-cancer
#7
Hanne R Hagland, Dordi Lea, Martin M Watson, Kjetil Søreide
AIM: To test the feasibility of conducting parallel analyses of circulating T-cells in blood and intratumoural T-cells in colorectal cancer. A pre-operative 'liquid biopsy' to determine immune status would facilitate clinical decision-making. MATERIALS AND METHODS: A total of 18 patients with stage I-III colorectal cancer (CRC) were included. Blood was analyzed for T-cell type (CD3(+), CD4(+) and CD8(+)) and count using flow cytometry. Intratumoural T-cells were stained using immunohistochemistry and quantified by digital pathology...
2017: Anticancer Research
https://www.readbyqxmd.com/read/28138402/construction-and-analysis-of-tissue-microarrays-in-the-era-of-digital-pathology-a-pilot-study-targeting-cdx1-and-cdx2-in-a-colon-cancer-cohort-of-612-patients
#8
Sarah Nolte, Inti Zlobec, Alessandro Lugli, Werner Hohenberger, Roland Croner, Susanne Merkel, Arndt Hartmann, Carol I Geppert, Tilman T Rau
CDX1 and CDX2 are possibly predictive biomarkers in colorectal cancer. We combined digitally-guided (next generation) TMA construction (ngTMA) and the utility of digital image analysis (DIA) to assess accuracy, tumour heterogeneity and the selective impact of different combined intensity-percentage levels on prognosis.CDX1 and CDX2 immunohistochemistry was performed on ngTMAs covering normal tissue, tumour centre and invasive front. The percentages of all epithelial cells per staining intensity per core were analysed digitally...
January 2017: Journal of Pathology. Clinical Research
https://www.readbyqxmd.com/read/28121069/a-stiff-extracellular-matrix-is-associated-with-malignancy-in-peripheral-neuroblastic-tumors
#9
Irene Tadeo, Ana P Berbegall, Samuel Navarro, Victoria Castel, Rosa Noguera
PURPOSE AND OBJECTIVE: Improved prognosis for patients with peripheral neuroblastic tumors (PNB) depends on enhanced pretreatment risk stratification combined with research into new therapeutic targets. This study investigated the potential contribution of extracellular matrix (ECM) elements toward this endeavor. METHODS: We characterized certain elements such as reticulin fibers, collagen type I fibers, and elastic fibers by digital pathology in almost 400 untreated PNB...
January 25, 2017: Pediatric Blood & Cancer
https://www.readbyqxmd.com/read/28116576/enterprise-implementation-of-digital-pathology-feasibility-challenges-and-opportunities
#10
D J Hartman, L Pantanowitz, J S McHugh, A L Piccoli, M J OLeary, G R Lauro
Digital pathology is becoming technically possible to implement for routine pathology work. At our institution, we have been using digital pathology for second opinion intraoperative consultations for over 10 years. Herein, we describe our experience in converting to a digital pathology platform for primary pathology diagnosis. We implemented an incremental rollout for digital pathology on subspecialty benches, beginning with cases that contained small amounts of tissue (biopsy specimens). We successfully scanned over 40,000 slides through our digital pathology system...
January 23, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28062660/digital-pathology-in-the-diagnostic-setting-beyond-technology-into-best-practice-and-service-management
#11
Chee Leong Cheng, Puay Hoon Tan
Digital pathology (DP) and whole-slide imaging (WSI) technology have matured substantially over the last few years and there is growing evidence from validation studies that WSI is comparable to glass slides for histopathology diagnosis, although with some limitations, which can be appropriately minimised. Whether the controlled environment of validation studies translates to the same level of robustness when WSI is used in the actual diagnostic setting depends on the technical quality of WSI acquisition and on factors that influence the pre-image acquisition variables including the quality of glass slide inputs, and postimage acquisition variables such as access and use of WSI...
January 6, 2017: Journal of Clinical Pathology
https://www.readbyqxmd.com/read/27992735/morphological-classification-of-odontogenic-keratocysts-using-bouligand-minkowski-fractal-descriptors
#12
Joao B Florindo, Odemir M Bruno, Gabriel Landini
The Odontogenic keratocyst (OKC) is a cystic lesion of the jaws, which has high growth and recurrence rates compared to other cysts of the jaws (for instance, radicular cyst, which is the most common jaw cyst type). For this reason OKCs are considered by some to be benign neoplasms. There exist two sub-types of OKCs (sporadic and syndromic) and the ability to discriminate between these sub-types, as well as other jaw cysts, is an important task in terms of disease diagnosis and prognosis. With the development of digital pathology, computational algorithms have become central to addressing this type of problem...
February 1, 2017: Computers in Biology and Medicine
https://www.readbyqxmd.com/read/27960232/digital-pathology-in-clinical-use-where-are-we-now-and-what-is-holding-us-back
#13
REVIEW
Jon Griffin, Darren Treanor
Whole slide imaging is being used increasingly in research applications and in frozen section, consultation and external quality assurance practice. Digital pathology, when integrated with other digital tools such as barcoding, specimen tracking and digital dictation, can be integrated into the histopathology workflow, from specimen accession to report sign-out. These elements can bring about improvements in the safety, quality and efficiency of a histopathology department. The present paper reviews the evidence for these benefits...
January 2017: Histopathology
https://www.readbyqxmd.com/read/27942094/glioma-grading-using-cell-nuclei-morphologic-features-in-digital-pathology-images
#14
Syed M S Reza, Khan M Iftekharuddin
This work proposes a computationally efficient cell nuclei morphologic feature analysis technique to characterize the brain gliomas in tissue slide images. In this work, our contributions are two-fold: 1) obtain an optimized cell nuclei segmentation method based on the pros and cons of the existing techniques in literature, 2) extract representative features by k-mean clustering of nuclei morphologic features to include area, perimeter, eccentricity, and major axis length. This clustering based representative feature extraction avoids shortcomings of extensive tile [1] [2] and nuclear score [3] based methods for brain glioma grading in pathology images...
February 27, 2016: Proceedings of SPIE
https://www.readbyqxmd.com/read/27818565/multi-scale-learning-based-segmentation-of-glands-in-digital-colonrectal-pathology-images
#15
Yi Gao, William Liu, Shipra Arjun, Liangjia Zhu, Vadim Ratner, Tahsin Kurc, Joel Saltz, Allen Tannenbaum
Digital histopathological images provide detailed spatial information of the tissue at micrometer resolution. Among the available contents in the pathology images, meso-scale information, such as the gland morphology, texture, and distribution, are useful diagnostic features. In this work, focusing on the colon-rectal cancer tissue samples, we propose a multi-scale learning based segmentation scheme for the glands in the colon-rectal digital pathology slides. The algorithm learns the gland and non-gland textures from a set of training images in various scales through a sparse dictionary representation...
February 2016: Proceedings of SPIE
https://www.readbyqxmd.com/read/27803941/evaluating-stability-of-histomorphometric-features-across-scanner-and-staining-variations-prostate-cancer-diagnosis-from-whole-slide-images
#16
Patrick Leo, George Lee, Natalie N C Shih, Robin Elliott, Michael D Feldman, Anant Madabhushi
Quantitative histomorphometry (QH) is the process of computerized feature extraction from digitized tissue slide images to predict disease presence, behavior, and outcome. Feature stability between sites may be compromised by laboratory-specific variables including dye batch, slice thickness, and the whole slide scanner used. We present two new measures, preparation-induced instability score and latent instability score, to quantify feature instability across and within datasets. In a use case involving prostate cancer, we examined QH features which may detect cancer on whole slide images...
October 2016: Journal of Medical Imaging
https://www.readbyqxmd.com/read/27747147/image-montaging-for-creating-a-virtual-pathology-slide-an-innovative-and-economical-tool-to-obtain-a-whole-slide-image
#17
Spoorthi Ravi Banavar, Prashanthi Chippagiri, Rohit Pandurangappa, Saileela Annavajjula, Premalatha Bidadi Rajashekaraiah
Background. Microscopes are omnipresent throughout the field of biological research. With microscopes one can see in detail what is going on at the cellular level in tissues. Though it is a ubiquitous tool, the limitation is that with high magnification there is a small field of view. It is often advantageous to see an entire sample at high magnification. Over the years technological advancements in optics have helped to provide solutions to this limitation of microscopes by creating the so-called dedicated "slide scanners" which can provide a "whole slide digital image...
2016: Analytical Cellular Pathology (Amsterdam)
https://www.readbyqxmd.com/read/27739040/image-analysis-of-the-tumor-microenvironment
#18
Mark C Lloyd, Joseph O Johnson, Agnieszka Kasprzak, Marilyn M Bui
In the field of pathology it is clear that molecular genomics and digital imaging represent two promising future directions, and both are as relevant to the tumor microenvironment as they are to the tumor itself (Beck AH et al. Sci Transl Med 3(108):108ra113-08ra113, 2011). Digital imaging, or whole slide imaging (WSI), of glass histology slides facilitates a number of value-added competencies which were not previously possible with the traditional analog review of these slides under a microscope by a pathologist...
2016: Advances in Experimental Medicine and Biology
https://www.readbyqxmd.com/read/27729430/continuous-measurement-of-breast-tumour-hormone-receptor-expression-a-comparison-of-two-computational-pathology-platforms
#19
Thomas P Ahern, Andrew H Beck, Bernard A Rosner, Ben Glass, Gretchen Frieling, Laura C Collins, Rulla M Tamimi
AIMS: Computational pathology platforms incorporate digital microscopy with sophisticated image analysis to permit rapid, continuous measurement of protein expression. We compared two computational pathology platforms on their measurement of breast tumour oestrogen receptor (ER) and progesterone receptor (PR) expression. METHODS: Breast tumour microarrays from the Nurses' Health Study were stained for ER (n=592) and PR (n=187). One expert pathologist scored cases as positive if ≥1% of tumour nuclei exhibited stain...
October 11, 2016: Journal of Clinical Pathology
https://www.readbyqxmd.com/read/27694950/multi-pass-adaptive-voting-for-nuclei-detection-in-histopathological-images
#20
Cheng Lu, Hongming Xu, Jun Xu, Hannah Gilmore, Mrinal Mandal, Anant Madabhushi
Nuclei detection is often a critical initial step in the development of computer aided diagnosis and prognosis schemes in the context of digital pathology images. While over the last few years, a number of nuclei detection methods have been proposed, most of these approaches make idealistic assumptions about the staining quality of the tissue. In this paper, we present a new Multi-Pass Adaptive Voting (MPAV) for nuclei detection which is specifically geared towards images with poor quality staining and noise on account of tissue preparation artifacts...
October 3, 2016: Scientific Reports
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