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Journal of Pathology Informatics

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https://read.qxmd.com/read/30662795/comprehensive-study-of-telecytology-using-robotic-digital-microscope-and-single-z-stack-digital-scan-for-fine-needle-aspiration-rapid-on-site-evaluation
#1
Keluo Yao, Rulong Shen, Anil Parwani, Zaibo Li
Background: The current technology for remote assessment of fine-needle aspiration-rapid on-site evaluation (FNA-ROSE) is limited. Recent advances may provide solutions. This study compared the performance of VisionTek digital microscope (VDM) (Sakura, Japan) and Hamamatsu NanoZoomer C9600-12 single Z-stack digital scan (SZDS) to conventional light microscopy (CLM) for FNA-ROSE. Methods: We assembled sixty FNA cases from the thyroid ( n = 16), lymph node ( n = 16), pancreas ( n = 9), head and neck ( n = 9), salivary gland ( n = 5), lung ( n = 4), and rectum ( n = 1) based on a single institution's routine workflow...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30662794/super-resolution-digital-pathology-image-processing-of-bone-marrow-aspirate-and-cytology-smears-and-tissue-sections
#2
Amol Singh, Robert S Ohgami
Background: Accurate digital pathology image analysis depends on high-quality images. As such, it is imperative to obtain digital images with high resolution for downstream data analysis. While hematoxylin and eosin (H&E)-stained tissue section slides from solid tumors contain three-dimensional information, these data have been ignored in digital pathology. In addition, in cytology and bone marrow aspirate smears, the three-dimensional nature of the specimen has precluded efficient analysis of such morphologic data...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30662793/integration-of-cancer-registry-data-into-the-text-information-extraction-system-leveraging-the-structured-data-import-tool
#3
Faina Linkov, Jonathan C Silverstein, Michael Davis, Brenda Crocker, Degan Hao, Althea Schneider, Melissa Schwenk, Sharon Winters, Joyce Zelnis, Adrian V Lee, Michael J Becich
Introduction/Background: Cancer registries in the US collect timely and systematic data on new cancer cases, extent of disease, staging, biomarker status, treatment, survival, and mortality of cancer cases. Existing methodologies for accessing local cancer registry data for research are time-consuming and often rely on the manual merging of data by staff registrars. In addition, existing registries do not provide direct access to these data nor do they routinely provide linkage to discrete electronic health record (EHR) data, reports, or imaging data...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30662792/the-importance-of-eslide-macro-images-for-primary-diagnosis-with-whole-slide-imaging
#4
Filippo Fraggetta, Yukako Yagi, Marcial Garcia-Rojo, Andrew J Evans, J Mark Tuthill, Alexi Baidoshvili, Douglas J Hartman, Junya Fukuoka, Liron Pantanowitz
Introduction: A whole slide image (WSI) is typically comprised of a macro image (low-power snapshot of the entire glass slide) and stacked tiles in a pyramid structure (with the lowest resolution thumbnail at the top). The macro image shows the label and all pieces of tissue on the slide. Many whole slide scanner vendors do not readily show the macro overview to pathologists. We demonstrate that failure to do so may result in a serious misdiagnosis. Materials and Methods: Various examples of errors were accumulated that occurred during the digitization of glass slides where the virtual slide differed from the macro image of the original glass slide...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30622835/computer-aided-laser-dissection-a-microdissection-workflow-leveraging-image-analysis-tools
#5
Jason D Hipp, Donald J Johann, Yun Chen, Anant Madabhushi, James Monaco, Jerome Cheng, Jaime Rodriguez-Canales, Martin C Stumpe, Greg Riedlinger, Avi Z Rosenberg, Jeffrey C Hanson, Lakshmi P Kunju, Michael R Emmert-Buck, Ulysses J Balis, Michael A Tangrea
Introduction: The development and application of new molecular diagnostic assays based on next-generation sequencing and proteomics require improved methodologies for procurement of target cells from histological sections. Laser microdissection can successfully isolate distinct cells from tissue specimens based on visual selection for many research and clinical applications. However, this can be a daunting task when a large number of cells are required for molecular analysis or when a sizeable number of specimens need to be evaluated...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30622834/laboratory-computer-performance-in-a-digital-pathology-environment-outcomes-from-a-single-institution
#6
Mark D Zarella, Adam Feldscher
Background: In an effort to provide improved user experience and system reliability at a moderate cost, our department embarked on targeted upgrades of a total of 87 computers over a period of 3 years. Upgrades came in three forms: (i) replacement of the computer with newer architecture, (ii) replacement of the computer's hard drive with a solid-state drive (SSD), or (iii) replacement of the computer with newer architecture and a SSD. Methods: We measured the impact of each form of upgrade on a set of pathology-relevant tasks that fell into three categories: standard use, whole-slide navigation, and whole-slide analysis...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30607310/artificial-intelligence-in-cytopathology-a-neural-network-to-identify-papillary-carcinoma-on-thyroid-fine-needle-aspiration-cytology-smears
#7
Parikshit Sanyal, Tanushri Mukherjee, Sanghita Barui, Avinash Das, Prabaha Gangopadhyay
Introduction: Fine-needle aspiration cytology (FNAC) for identification of papillary carcinoma thyroid is a moderately sensitive and specific modality. The present machine learning tools can correctly classify images into broad categories. Training software for recognition of papillary thyroid carcinoma on FNAC smears will be a decisive step toward automation of cytopathology. Aim: The aim of this study is to develop an artificial neural network (ANN) for the purpose of distinguishing papillary carcinoma thyroid and nonpapillary carcinoma thyroid on microphotographs from thyroid FNAC smears...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30607309/interactive-digital-microscopy-at-the-center-for-a-cross-continent-undergraduate-pathology-course-in-mozambique
#8
Leonor David, Isabel Martins, Mamudo Rafik Ismail, Fabíola Fernandes, Mohsin Sidat, Mário Seixas, Elsa Fonseca, Carla Carrilho
Background: Recent medical education trends encourage the use of teaching strategies that emphasize student centeredness and self-learning. In this context, the use of new educative technologies is stimulated at the Faculty of Medicine of Eduardo Mondlane University (FMUEM) in Mozambique. The Faculty of Medicine of University of Porto (FMUP) and FMUEM have a long-lasting record of collaborative work. Within this framework, both institutions embarked in a partnership, aimed to develop a blended learning course of pathology for undergraduates, shared between the two faculties and incorporating interactive digital microscopy as a central learning tool...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30607308/parathyroid-frozen-section-interpretation-via-desktop-telepathology-systems-a-validation-study
#9
Edward Chandraratnam, Leonardo D Santos, Shaun Chou, Jun Dai, Juan Luo, Syeda Liza, Ronald Y Chin
Background: Telepathology can potentially be utilized as an alternative to having on-site pathology services for rural and regional hospitals. The goal of the study was to validate two small-footprint desktop telepathology systems for remote parathyroid frozen sections. Subjects and Methods: Three pathologists retrospectively diagnosed 76 parathyroidectomy frozen sections of 52 patients from three pathology services in Australia using the "live-view mode" of MikroScan D2 and Aperio LV1 and in-house direct microscopy...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30607307/twenty-years-of-digital-pathology-an-overview-of-the-road-travelled-what-is-on-the-horizon-and-the-emergence-of-vendor-neutral-archives
#10
REVIEW
Liron Pantanowitz, Ashish Sharma, Alexis B Carter, Tahsin Kurc, Alan Sussman, Joel Saltz
Almost 20 years have passed since the commercial introduction of whole-slide imaging (WSI) scanners. During this time, the creation of various WSI devices with the ability to digitize an entire glass slide has transformed the field of pathology. Parallel advances in computational technology and storage have permitted rapid processing of large-scale WSI datasets. This article provides an overview of important past and present efforts related to WSI. An account of how the virtual microscope evolved from the need to visualize and manage satellite data for earth science applications is provided...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30607306/the-use-of-screencasts-with-embedded-whole-slide-scans-and-hyperlinks-to-teach-anatomic-pathology-in-a-supervised-digital-environment
#11
Mary Wong, Joseph Frye, Stacey Kim, Alberto M Marchevsky
Background: There is an increasing interest in using digitized whole-slide imaging (WSI) for routine surgical pathology diagnoses. Screencasts are digital recordings of computer screen output with advanced interactive features that allow for the preparation of videos. Screencasts that include hyperlinks to WSIs could help teach pathology residents how to become familiar with technologies that they are likely to use in their future career. Materials and Methods: Twenty screencasts were prepared with Camtasia 2...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30607305/artificial-intelligence-and-digital-pathology-challenges-and-opportunities
#12
REVIEW
Hamid Reza Tizhoosh, Liron Pantanowitz
In light of the recent success of artificial intelligence (AI) in computer vision applications, many researchers and physicians expect that AI would be able to assist in many tasks in digital pathology. Although opportunities are both manifest and tangible, there are clearly many challenges that need to be overcome in order to exploit the AI potentials in computational pathology. In this paper, we strive to provide a realistic account of all challenges and opportunities of adopting AI algorithms in digital pathology from both engineering and pathology perspectives...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30533276/implementing-the-dicom-standard-for-digital-pathology
#13
Markus D Herrmann, David A Clunie, Andriy Fedorov, Sean W Doyle, Steven Pieper, Veronica Klepeis, Long P Le, George L Mutter, David S Milstone, Thomas J Schultz, Ron Kikinis, Gopal K Kotecha, David H Hwang, Katherine P Andriole, A John Iafrate, James A Brink, Giles W Boland, Keith J Dreyer, Mark Michalski, Jeffrey A Golden, David N Louis, Jochen K Lennerz
Background: Digital Imaging and Communications in Medicine (DICOM® ) is the standard for the representation, storage, and communication of medical images and related information. A DICOM file format and communication protocol for pathology have been defined; however, adoption by vendors and in the field is pending. Here, we implemented the essential aspects of the standard and assessed its capabilities and limitations in a multisite, multivendor healthcare network. Methods: We selected relevant DICOM attributes, developed a program that extracts pixel data and pixel-related metadata, integrated patient and specimen-related metadata, populated and encoded DICOM attributes, and stored DICOM files...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30505622/complete-routine-remote-digital-pathology-services
#14
Aleksandar Vodovnik, Mohammad Reza F Aghdam
Background: Validation studies in digital pathology addressed so far diverse aspects of the routine work. We aimed to establish a complete remote digital pathology service. Methods: Altogether 2295 routine cases (8640 slides) were reported in our studies on digital versus microscopic diagnostics, remote reporting, diagnostic time, fine-needle aspiration cytology (FNAC) clinics, frozen sections, and diagnostic sessions with residents. The same senior pathologist was involved in all studies...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30450264/network-analysis-of-autopsy-diagnoses-insights-into-the-cause-of-death-from-unbiased-disease-clustering
#15
Romulo Celli, Miguel Divo, Monica Colunga, Bartolome Celli, Kisha Anne Mitchell-Richards
Background: Autopsies usually serve to inform specific "causes of death" and associated mechanisms. However, multiple diseases can co-exist and interact leading to a final demise. We approached autopsy-produced data using network analysis in an unbiased fashion to inform about interaction among different diseases and identify possible targets of system-level health care. Methods: Reports of 261 full autopsies from one institution between 2011 and 2013 were reviewed...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30450263/validation-of-remote-digital-frozen-sections-for-cancer-and-transplant-intraoperative-services
#16
Luca Cima, Matteo Brunelli, Anil Parwani, Ilaria Girolami, Andrea Ciangherotti, Giulio Riva, Luca Novelli, Francesca Vanzo, Alessandro Sorio, Vito Cirielli, Mattia Barbareschi, Antonietta D'Errico, Aldo Scarpa, Chiara Bovo, Filippo Fraggetta, Liron Pantanowitz, Albino Eccher
Introduction: Whole-slide imaging (WSI) technology can be used for primary diagnosis and consultation, including intraoperative (IO) frozen section (FS). We aimed to implement and validate a digital system for the FS evaluation of cancer and transplant specimens following recommendations of the College of American Pathologists. Materials and Methods: FS cases were routinely scanned at ×20 employing the "Navigo" scanner system. IO diagnoses using glass versus digital slides after a 3-week washout period were recorded...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30294502/innovation-in-transplantation-the-digital-era
#17
Albino Eccher, Matteo Brunelli, Liron Pantanowitz, Anil Parwani, Ilaria Girolami, Aldo Scarpa
The international symposium entitled "Innovation in Transplantation: The Digital Era" took place on June 7 and 8, 2018 in Verona, Italy. This meeting was borne out of the productive collaboration between the Universities and Hospital Trusts of Verona and Padua in Italy, in the context of a vast regional project called Research and innovation project within the Health Technology Assessment. The project aimed to create an innovative digital platform for teleconsultation and delivering diagnostic second opinions in the field of organ transplantation within the Veneto region...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30294501/diagnostic-performance-of-deep-learning-algorithms-applied-to-three-common-diagnoses-in-dermatopathology
#18
Thomas George Olsen, B Hunter Jackson, Theresa Ann Feeser, Michael N Kent, John C Moad, Smita Krishnamurthy, Denise D Lunsford, Rajath E Soans
Background: Artificial intelligence is advancing at an accelerated pace into clinical applications, providing opportunities for increased efficiency, improved accuracy, and cost savings through computer-aided diagnostics. Dermatopathology, with emphasis on pattern recognition, offers a unique opportunity for testing deep learning algorithms. Aims: This study aims to determine the accuracy of deep learning algorithms to diagnose three common dermatopathology diagnoses...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30294500/using-heatmaps-to-identify-opportunities-for-optimization-of-test-utilization-and-care-delivery
#19
Yonah C Ziemba, Liya Lomsadze, Yehuda Jacobs, Tylis Y Chang, Nina Haghi
Background: When a provider orders a test in a pattern that is substantially different than their peers, it may indicate confusion in the test name or inappropriate use of the test, which can be elucidated by initiating dialog between clinicians and the laboratory. However, the analysis of ordering patterns can be challenging. We propose a utilization index (UI) as a means to quantify utilization patterns for individual providers and demonstrate the use of heatmaps to identify opportunities for improvement...
2018: Journal of Pathology Informatics
https://read.qxmd.com/read/30237909/the-human-interface-of-biomedical-informatics
#20
REVIEW
Edward C Klatt
Biomedical informatics is the science of information, where information is defined as data with meaning. This definition identifies a fundamental challenge for informaticians: connecting with the healthcare team by enabling the acquisition, retrieval, and processing of information within the cognitive capabilities of the human brain. Informaticians can become aware of the constraints involved with cognitive processing and with workplace factors that impact how information is acquired and used to facilitate an improved user interface providing information to healthcare teams...
2018: Journal of Pathology Informatics
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