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"Digital pathology"

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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
#1
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
#2
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
#3
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 at high resolution, creating a digital slide. METHODS: In this study, we examine the concordance in diagnoses made on 40 digital slides (DS) versus traditional glass slides (GS) 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
#4
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
#5
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
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
https://www.readbyqxmd.com/read/28653011/influence-of-study-design-on-digital-pathology-image-quality-evaluation-the-need-to-define-a-clinical-task
#12
Ljiljana Platiša, Leen Van Brantegem, Asli Kumcu, Richard Ducatelle, Wilfried Philips
Despite the current rapid advance in technologies for whole slide imaging, there is still no scientific consensus on the recommended methodology for image quality assessment of digital pathology slides. For medical images in general, it has been recommended to assess image quality in terms of doctors' success rates in performing a specific clinical task while using the images (clinical image quality, cIQ). However, digital pathology is a new modality, and already identifying the appropriate task is difficult...
April 2017: Journal of Medical Imaging
https://www.readbyqxmd.com/read/28640523/computer-aided-diagnostics-in-digital-pathology
#13
EDITORIAL
Ewert Bengtsson, Håvard Danielsen, Darren Treanor, Metin N Gurcan, Calum MacAulay, Béla Molnár
No abstract text is available yet for this article.
June 2017: Cytometry. Part A: the Journal of the International Society for Analytical Cytology
https://www.readbyqxmd.com/read/28634789/detection-and-grading-of-prostate-cancer-using-temporal-enhanced-ultrasound-combining-deep-neural-networks-and-tissue-mimicking-simulations
#14
Shekoofeh Azizi, Sharareh Bayat, Pingkun Yan, Amir Tahmasebi, Guy Nir, Jin Tae Kwak, Sheng Xu, Storey Wilson, Kenneth A Iczkowski, M Scott Lucia, Larry Goldenberg, Septimiu E Salcudean, Peter A Pinto, Bradford Wood, Purang Abolmaesumi, Parvin Mousavi
PURPOSE  : Temporal Enhanced Ultrasound (TeUS) has been proposed as a new paradigm for tissue characterization based on a sequence of ultrasound radio frequency (RF) data. We previously used TeUS to successfully address the problem of prostate cancer detection in the fusion biopsies. METHODS  : In this paper, we use TeUS to address the problem of grading prostate cancer in a clinical study of 197 biopsy cores from 132 patients. Our method involves capturing high-level latent features of TeUS with a deep learning approach followed by distribution learning to cluster aggressive cancer in a biopsy core...
August 2017: International Journal of Computer Assisted Radiology and Surgery
https://www.readbyqxmd.com/read/28602907/an-efficient-architecture-to-support-digital-pathology-in-standard-medical-imaging-repositories
#15
Tiago Marques Godinho, Rui Lebre, Luís Bastião Silva, Carlos Costa
In the past decade, digital pathology and whole-slide imaging (WSI) have been gaining momentum with the proliferation of digital scanners from different manufacturers. The literature reports significant advantages associated with the adoption of digital images in pathology, namely, improvements in diagnostic accuracy and better support for telepathology. Moreover, it also offers new clinical and research applications. However, numerous barriers have been slowing the adoption of WSI, among which the most important are performance issues associated with storage and distribution of huge volumes of data, and lack of interoperability with other hospital information systems, most notably Picture Archive and Communications Systems (PACS) based on the DICOM standard...
July 2017: Journal of Biomedical Informatics
https://www.readbyqxmd.com/read/28584684/current-state-of-the-regulatory-trajectory-for-whole-slide-imaging-devices-in-the-usa
#16
REVIEW
Esther Abels, Liron Pantanowitz
The regulatory field for digital pathology (DP) has advanced significantly. A major milestone was accomplished when the FDA allowed the first vendor to market their device for primary diagnostic use in the USA and published in the classification order that this device, and substantially equivalent devices of this generic type, should be classified into class II instead of class III as previously proposed. The Digital Pathology Association (DPA) regulatory task force had a major role in the accomplishment of getting the application request for Whole Slide Imaging (WSI) Systems recommended for a de novo...
2017: Journal of Pathology Informatics
https://www.readbyqxmd.com/read/28584625/digital-pathology-imaging-as-a-novel-platform-for-standardization-and-globalization-of-quantitative-nephropathology
#17
Laura Barisoni, Charlotte Gimpel, Renate Kain, Arvydas Laurinavicius, Gloria Bueno, Caihong Zeng, Zhihong Liu, Franz Schaefer, Matthias Kretzler, Lawrence B Holzman, Stephen M Hewitt
The introduction of digital pathology to nephrology provides a platform for the development of new methodologies and protocols for visual, morphometric and computer-aided assessment of renal biopsies. Application of digital imaging to pathology made substantial progress over the past decade; it is now in use for education, clinical trials and translational research. Digital pathology evolved as a valuable tool to generate comprehensive structural information in digital form, a key prerequisite for achieving precision pathology for computational biology...
April 2017: Clinical Kidney Journal
https://www.readbyqxmd.com/read/28578626/the-pathologist-2-0-an-update-on-digital-pathology-in-veterinary-medicine
#18
Christof A Bertram, Robert Klopfleisch
Using light microscopy to describe the microarchitecture of normal and diseased tissues has changed very little since the middle of the 19th century. While the premise of histologic analysis remains intact, our relationship with the microscope is changing dramatically. Digital pathology offers new forms of visualization, and delivery of images is facilitated in unprecedented ways. This new technology can untether us entirely from our light microscopes, with many pathologists already performing their jobs using virtual microscopy...
January 1, 2017: Veterinary Pathology
https://www.readbyqxmd.com/read/28573988/updates-in-ophthalmic-pathology
#19
REVIEW
Pia R Mendoza, Hans E Grossniklaus
Ophthalmic pathology has a long history and rich heritage in the field of ophthalmology. This review article highlights updates in ophthalmic pathology that have developed significantly through the years because of the efforts of committed individuals and the confluence of technology such as molecular biology and digital pathology. This is an exciting period in the history of ocular pathology, with cutting-edge techniques paving the way for new developments in diagnostics, therapeutics, and research. Collaborations between ocular oncologists and pathologists allow for improved and comprehensive patient care...
May 2017: Indian Journal of Ophthalmology
https://www.readbyqxmd.com/read/28549410/large-scale-tissue-histopathology-image-classification-segmentation-and-visualization-via-deep-convolutional-activation-features
#20
Yan Xu, Zhipeng Jia, Liang-Bo Wang, Yuqing Ai, Fang Zhang, Maode Lai, Eric I-Chao Chang
BACKGROUND: Histopathology image analysis is a gold standard for cancer recognition and diagnosis. Automatic analysis of histopathology images can help pathologists diagnose tumor and cancer subtypes, alleviating the workload of pathologists. There are two basic types of tasks in digital histopathology image analysis: image classification and image segmentation. Typical problems with histopathology images that hamper automatic analysis include complex clinical representations, limited quantities of training images in a dataset, and the extremely large size of singular images (usually up to gigapixels)...
May 26, 2017: BMC Bioinformatics
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