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"Digital pathology"

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https://www.readbyqxmd.com/read/28877052/diagnostic-efficiency-in-digital-pathology-a-comparison-of-optical-versus-digital-assessment-in-510-surgical-pathology-cases
#1
Anne M Mills, Sarah E Gradecki, Bethany J Horton, Rebecca Blackwell, Christopher A Moskaluk, James W Mandell, Stacey E Mills, Helen P Cathro
Prior work has shown that digital images and microscopic slides can be interpreted with comparable diagnostic accuracy. Although accuracy has been well-validated, the interpretative time for digital images has scarcely been studied and concerns about efficiency remain a major barrier to adoption. We investigated the efficiency of digital pathology when compared with glass slide interpretation in the diagnosis of surgical pathology biopsy and resection specimens. Slides were pulled from 510 surgical pathology cases from 5 organ systems (gastrointestinal, gynecologic, liver, bladder, and brain)...
September 4, 2017: American Journal of Surgical Pathology
https://www.readbyqxmd.com/read/28858910/digital-pathology-in-nephrology-clinical-trials-research-and-pathology-practice
#2
Laura Barisoni, Jeffrey B Hodgin
PURPOSE OF REVIEW: In this review, we will discuss (i) how the recent advancements in digital technology and computational engineering are currently applied to nephropathology in the setting of clinical research, trials, and practice; (ii) the benefits of the new digital environment; (iii) how recognizing its challenges provides opportunities for transformation; and (iv) nephropathology in the upcoming era of kidney precision and predictive medicine. RECENT FINDINGS: Recent studies highlighted how new standardized protocols facilitate the harmonization of digital pathology database infrastructure and morphologic, morphometric, and computer-aided quantitative analyses...
August 30, 2017: Current Opinion in Nephrology and Hypertension
https://www.readbyqxmd.com/read/28855392/neuropathology-of-white-matter-lesions-blood-brain-barrier-dysfunction-and-dementia
#3
Atticus H Hainsworth, Thais Minett, Joycelyn Andoh, Gillian Forster, Ishaan Bhide, Thomas R Barrick, Kay Elderfield, Jamuna Jeevahan, Hugh S Markus, Leslie R Bridges
BACKGROUND AND PURPOSE: We tested whether blood-brain barrier dysfunction in subcortical white matter is associated with white matter abnormalities or risk of clinical dementia in older people (n=126; mean age 86.4, SD: 7.7 years) in the MRC CFAS (Medical Research Council Cognitive Function and Ageing Study). METHODS: Using digital pathology, we quantified blood-brain barrier dysfunction (defined by immunohistochemical labeling for the plasma marker fibrinogen)...
August 30, 2017: Stroke; a Journal of Cerebral Circulation
https://www.readbyqxmd.com/read/28851404/computer-assisted-stereology-and-automated-image-analysis-for-quantification-of-tumor-infiltrating-lymphocytes-in-colon-cancer
#4
Ann C Eriksen, Johnnie B Andersen, Martin Kristensson, René dePont Christensen, Torben F Hansen, Sanne Kjær-Frifeldt, Flemming B Sørensen
BACKGROUND: Precise prognostic and predictive variables allowing improved post-operative treatment stratification are missing in patients treated for stage II colon cancer (CC). Investigation of tumor infiltrating lymphocytes (TILs) may be rewarding, but the lack of a standardized analytic technique is a major concern. Manual stereological counting is considered the gold standard, but digital pathology with image analysis is preferred due to time efficiency. The purpose of this study was to compare manual stereological estimates of TILs with automatic counts obtained by image analysis, and at the same time investigate the heterogeneity of TILs...
August 29, 2017: Diagnostic Pathology
https://www.readbyqxmd.com/read/28840365/radiology-and-enterprise-medical-imaging-extensions-remix
#5
Barbaros S Erdal, Luciano M Prevedello, Songyue Qian, Mutlu Demirer, Kevin Little, John Ryu, Thomas O'Donnell, Richard D White
Radiology and Enterprise Medical Imaging Extensions (REMIX) is a platform originally designed to both support the medical imaging-driven clinical and clinical research operational needs of Department of Radiology of The Ohio State University Wexner Medical Center. REMIX accommodates the storage and handling of "big imaging data," as needed for large multi-disciplinary cancer-focused programs. The evolving REMIX platform contains an array of integrated tools/software packages for the following: (1) server and storage management; (2) image reconstruction; (3) digital pathology; (4) de-identification; (5) business intelligence; (6) texture analysis; and (7) artificial intelligence...
August 24, 2017: Journal of Digital Imaging: the Official Journal of the Society for Computer Applications in Radiology
https://www.readbyqxmd.com/read/28828200/pathedex-uncovering-high-explanatory-visual-diagnostics-heuristics-using-digital-pathology-and-multiscale-gaze-data
#6
Dmitriy Shin, Mikhail Kovalenko, Ilker Ersoy, Yu Li, Donald Doll, Chi-Ren Shyu, Richard Hammer
BACKGROUND: Visual heuristics of pathology diagnosis is a largely unexplored area where reported studies only provided a qualitative insight into the subject. Uncovering and quantifying pathology visual and nonvisual diagnostic patterns have great potential to improve clinical outcomes and avoid diagnostic pitfalls. METHODS: Here, we present PathEdEx, an informatics computational framework that incorporates whole-slide digital pathology imaging with multiscale gaze-tracking technology to create web-based interactive pathology educational atlases and to datamine visual and nonvisual diagnostic heuristics...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/28828198/teaching-digital-pathology-the-international-school-of-digital-pathology-and-proposed-syllabus
#7
Vincenzo Della Mea, Antonino Carbone, Carla Di Loreto, Gloria Bueno, Paolo De Paoli, Marcial García-Rojo, David de Mena, Annunziata Gloghini, Mohammad Ilyas, Arvydas Laurinavicius, Allan Rasmusson, Massimo Milione, Riccardo Dolcetti, Marco Pagani, Andrea Stoppini, Sandro Sulfaro, Michelangelo Bartolo, Emanuela Mazzon, H Peter Soyer, Liron Pantanowitz
Digital pathology is an interdisciplinary field where competency in pathology, laboratory techniques, informatics, computer science, information systems, engineering, and even biology converge. This implies that teaching students about digital pathology requires coverage, expertise, and hands-on experience in all these disciplines. With this in mind, a syllabus was developed for a digital pathology summer school aimed at professionals in the aforementioned fields, as well as trainees and doctoral students. The aim of this communication is to share the context, rationale, and syllabus for this school of digital pathology...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/28819021/phenotypic-heterogeneity-of-circulating-tumor-cells-informs-clinical-decisions-between-ar-signaling-inhibitors-and-taxanes-in-metastatic-prostate-cancer
#8
Howard I Scher, Ryon P Graf, Nicole Schreiber, Brigit McLaughlin, Adam Jendrisak, Yipeng Wang, Jerry Lee, Stephanie Greene, Rachel Krupa, David Lu, Pascal Bamford, Jessica Louw, Lyndsey Dugan, Hebert Alberto Vargas, Martin Fleisher, Mark Landers, Glenn Heller, Ryan V Dittamore
The heterogeneity of an individual patient's tumor has been linked to treatment resistance, but quantitative biomarkers to rapidly and reproducibly evaluate heterogeneity in a clinical setting are currently lacking. Using established tools available in a CAP-accredited and CLIA-certified clinical laboratory, we quantified digital pathology features on 9,225 individual circulating tumor cells (CTCs) from 179 unique metastatic castration-resistant prostate cancer (mCRPC) patients to define phenotypically distinct cell types...
August 17, 2017: Cancer Research
https://www.readbyqxmd.com/read/28815110/development-of-a-framework-for-large-scale-three-dimensional-pathology-and-biomarker-imaging-and-spatial-analytics
#9
Yanhui Liang, Fusheng Wang, Pengyue Zhang, Joel H Saltz, Daniel J Brat, Jun Kong
With the rapid advancement in large-throughput scanning technologies, digital pathology has emerged as platform with promise for diagnostic approaches, but also for high-throughput quantitative data extraction and analysis for translational research. Digital pathology and biomarker images are rich sources of information on tissue architecture, cell diversity and morphology, and molecular pathway activation. However, the understanding of disease in three-dimension (3D) has been hampered by their traditional two-dimension (2D) representations on histologic slides...
2017: AMIA Summits on Translational Science Proceedings
https://www.readbyqxmd.com/read/28800708/multiplanar-correction-of-the-lesser-digital-deviation-and-indirect-plantar-plate-rupture-repair-using-a-braided-polyethylene-nylon-suture-a-technique-guide
#10
Cody D Blazek, Roberto A Brandão, Jeffrey M Manway, Patrick R Burns
Forefoot and lesser digital pathology continues to be a challenging area of surgical correction for foot and ankle surgeons. Many techniques for the correction of digital deformities secondary to plantar plate rupture, regardless of planal dominance, have been described including direct repair and metatarsal shortening osteotomies for repair. The authors present a new technique for multiplanar correction of deformed lesser digits without direct repair of the plantar plate rupture utilizing a specialty suture...
August 1, 2017: Foot & Ankle Specialist
https://www.readbyqxmd.com/read/28799592/rapid-determination-of-the-tumour-stroma-ratio-in-squamous-cell-carcinomas-with-desorption-electrospray-ionization-mass-spectrometry-desi-ms-a-proof-of-concept-demonstration
#11
Michael Woolman, Alessandra Tata, Delaram Dara, Jalna Meens, Elisa D'Arcangelo, Consuelo J Perez, Shamina Saiyara Prova, Emma Bluemke, Howard J Ginsberg, Demian Ifa, Alison McGuigan, Laurie Ailles, Arash Zarrine-Afsar
Squamous cell carcinomas constitute a major class of head & neck cancers, where the tumour stroma ratio (TSR) carries prognostic information. Patients affected by stroma-rich tumours exhibit a poor prognosis and a higher chance of relapse. As such, there is a need for a technology platform that allows rapid determination of the tumour stroma ratio. In this work, we provide a proof-of-principle demonstration that Desorption Electrospray Ionization Mass Spectrometry (DESI-MS) can be used to determine tumour stroma ratios...
August 11, 2017: Analyst
https://www.readbyqxmd.com/read/28796294/feasibility-study-in-teledermatopathology-an-examination-of-the-histopathologic-features-of-mycosis-fungoides-and-spongiotic-dermatitis
#12
Raymond M Fertig, Sudeep Gaudi, Jessica Cervantes, Austin Maddy, Omar Sangueza, John Vu, Jonhan Ho, Drazen M Jukic
BACKGROUND: Digital pathology offers numerous advantages, allowing remote information sharing using whole slide imaging (WSI) to digitize an entire glass slide (GS) at high resolution, creating a digital slide (DS). METHODS: In this study, we examine the concordance in diagnoses made on 40 digital slides (DSs) vs traditional GSs in differentiating between spongiotic dermatitis (SD) and patch/plaque-stage mycosis fungoides (MF). RESULTS: Greater interobserver concordance rate in final diagnosis of SD vs MF was observed with the utilization of DS (86...
August 10, 2017: Journal of Cutaneous Pathology
https://www.readbyqxmd.com/read/28780514/future-proofing-pathology-the-case-for-clinical-adoption-of-digital-pathology
#13
REVIEW
Bethany Jill Williams, David Bottoms, Darren Treanor
This document clarifies the strategic context of digital pathology adoption, defines the different use cases a healthcare provider may wish to consider as part of a digital adoption and summarises existing reasons for digital adoption and its potential benefits. The reader is provided with references to the relevant literature, and illustrative case studies. The authors hope this report will be of interest to healthcare providers, pathology managers, departmental heads, pathologists and biomedical scientists that are considering digital pathology, deployments or preparing business cases for digital pathology adoption in clinical settings...
August 5, 2017: Journal of Clinical Pathology
https://www.readbyqxmd.com/read/28778026/a-survey-on-deep-learning-in-medical-image-analysis
#14
REVIEW
Geert Litjens, Thijs Kooi, Babak Ehteshami Bejnordi, Arnaud Arindra Adiyoso Setio, Francesco Ciompi, Mohsen Ghafoorian, Jeroen A W M van der Laak, Bram van Ginneken, Clara I Sánchez
Deep learning algorithms, in particular convolutional networks, have rapidly become a methodology of choice for analyzing medical images. This paper reviews the major deep learning concepts pertinent to medical image analysis and summarizes over 300 contributions to the field, most of which appeared in the last year. We survey the use of deep learning for image classification, object detection, segmentation, registration, and other tasks. Concise overviews are provided of studies per application area: neuro, retinal, pulmonary, digital pathology, breast, cardiac, abdominal, musculoskeletal...
July 26, 2017: Medical Image Analysis
https://www.readbyqxmd.com/read/28777146/qualitative-comparison-between-carrier-based-and-classical-tissue-microarrays
#15
Katharina Lisenko, Jonas Leichsenring, Christiane Zgorzelski, Rémi Longuespée, Rita Casadonte, Alexander Harms, Daniel Kazdal, Albrecht Stenzinger, Arne Warth, Mark Kriegsmann
Tissue microarrays (TMAs) are commonly used in biomarker research. To enhance the efficacy of TMAs and to avoid floating or folding of tissue cores, various improvements such as the application of carriers and melting techniques have been proposed. Compared with classical TMAs (cTMAs), carrier-based TMAs (cbTMAs) have been shown to have several advantages including sample handling and sectioning. Up to now, little is known about the efficacy and quality of cbTMAs compared with cTMAs. Thus, we set out to compare both types systematically...
August 2, 2017: Applied Immunohistochemistry & Molecular Morphology: AIMM
https://www.readbyqxmd.com/read/28775673/the-image-data-resource-a-bioimage-data-integration-and-publication-platform
#16
Eleanor Williams, Josh Moore, Simon W Li, Gabriella Rustici, Aleksandra Tarkowska, Anatole Chessel, Simone Leo, Bálint Antal, Richard K Ferguson, Ugis Sarkans, Alvis Brazma, Rafael E Carazo Salas, Jason R Swedlow
Access to primary research data is vital for the advancement of science. To extend the data types supported by community repositories, we built a prototype Image Data Resource (IDR) that collects and integrates imaging data acquired across many different imaging modalities. IDR links data from several imaging modalities, including high-content screening, super-resolution and time-lapse microscopy, digital pathology, public genetic or chemical databases, and cell and tissue phenotypes expressed using controlled ontologies...
August 2017: Nature Methods
https://www.readbyqxmd.com/read/28763335/validation-of-digital-pathology-for-primary-histopathological-diagnosis-of-routine-inflammatory-dermatopathology-cases
#17
Jonathan J Lee, Jaroslaw Jedrych, Liron Pantanowitz, Jonhan Ho
BACKGROUND: Digital pathology (DP) systems have been validated for routine, histopathological diagnosis by several investigators. The diagnostic matter in previous studies is composed mostly of neoplasms. However, in dermatopathology, inflammatory diseases constitute a greater proportion of cases and have been under-represented in this literature. Herein, we report the results of a prospective, DP side-by-side validation study comparing the histologic assessment of routine, clinical inflammatory dermatopathology cases by whole slide imaging (WSI) and traditional light microscopy (LM)...
July 28, 2017: American Journal of Dermatopathology
https://www.readbyqxmd.com/read/28753797/-18-f-dcfpyl-positron-emission-tomography-magnetic-resonance-imaging-for-localization-of-dominant-intraprostatic-foci-first-experience
#18
Glenn Bauman, Peter Martin, Jonathan D Thiessen, Reggie Taylor, Madeleine Moussa, Mena Gaed, Irina Rachinsky, Zahra Kassam, Joseph Chin, Stephen Pautler, Ting Yim Lee, John F Valliant, Aaron Ward
An ongoing prospective study is acquiring preoperative imaging data for men with prostate cancer (PCa) using the molecular imaging agent [(18)F]-DCFPyL targeted against prostate-specific membrane antigen (PSMA). To date, six men (of a planned accrual of 24) with clinically localized, biopsy-proven PCa have undergone preoperative [(18)F]-DCFPyL positron emission tomography (PET) imaging and multiparametric magnetic resonance imaging acquired using a hybrid PET/MRI system. Lesions identified by [(18)F]-DCFPyL uptake on PET/MRI were characterized in terms of maximum standardized uptake value (SUVmax) and volume using a boundary threshold of 40% SUVmax...
October 26, 2016: European Urology Focus
https://www.readbyqxmd.com/read/28680908/special-section-guest-editorial-digital-pathology
#19
Metin N Gurcan, John E Tomaszewski, Anant Madabhushi
No abstract text is available yet for this article.
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28656074/detecting-circulating-tumor-material-and-digital-pathology-imaging-during-pancreatic-cancer-progression
#20
REVIEW
Radim Moravec, Rao Divi, Mukesh Verma
Pancreatic cancer (PC) is a leading cause of cancer-related death worldwide. Clinical symptoms typically present late when treatment options are limited and survival expectancy is very short. Metastatic mutations are heterogeneous and can accumulate up to twenty years before PC diagnosis. Given such genetic diversity, detecting and managing the complex states of disease progression may be limited to imaging modalities and markers present in circulation. Recent developments in digital pathology imaging show potential for early PC detection, making a differential diagnosis, and predicting treatment sensitivity leading to long-term survival in advanced stage patients...
June 15, 2017: World Journal of Gastrointestinal Oncology
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