Implementation of Whole Slide Imaging for Clinical Purposes: Issues to Consider From the Perspective of Early Adopters

Evans, Andrew; Salama, Mohamed E.; Henricks, Walter H.; Pantanowitz, Liron

doi:10.5858/arpa.2016-0074-oa

Cited by 95 publications

(81 citation statements)

References 51 publications

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“…Future work is needed to increase the size and resolution of the generated images, as well as to investigate other technical variations within the GAN framework. Furthermore, with the increasing use of digital pathology in clinical practice 29 , generative models can be used for various digital image processing applications 30 , 31 , 32 and applied to forms of semi-supervised learning such as anomaly detection. 33 Our use of two data sets demonstrates the breadth of input images that can be incorporated into our pipeline.…”

Section: Discussionmentioning

confidence: 99%

Synthesis of diagnostic quality cancer pathology images

Peng

Farnell

et al. 2020

Preprint

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Keyboards: cancer, pathology, deep learning, artificial intelligence, quality assurance, education Link to the demo website: http://gan.aimlab.ca/ 1 ABSTRACT Deep learning-based computer vision methods have recently made remarkable breakthroughs in the analysis and classification of cancer pathology images. However, there has been relatively little investigation of the utility of deep neural networks to synthesize medical images. In this study, we evaluated the efficacy of generative adversarial networks (GANs) to synthesize high resolution pathology images of ten histological types of cancer, including five cancer types from The Cancer Genome Atlas (TCGA) and the five major histological subtypes of ovarian carcinoma. The quality of these images was assessed using a comprehensive survey of board-certified pathologists (n = 9) and pathology trainees (n = 6). Our results show that the real and synthetic images are classified by histotype with comparable accuracies, and the synthetic images are visually indistinguishable from real images. Furthermore, we trained deep convolutional neural networks (CNNs) to diagnose the different cancer types and determined that the synthetic images perform as well as additional real images when used to supplement a small training set. These findings have important applications in proficiency testing of medical practitioners and quality assurance in clinical laboratories. Furthermore, training of computer-aided diagnostic systems can benefit from synthetic images where labeled datasets are limited (e.g., rare cancers). We have created a publicly available website where clinicians and researchers can attempt questions from the image survey at http://gan.aimlab.ca/ .

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Section: Discussionmentioning

confidence: 99%

Synthesis of diagnostic quality cancer pathology images

Peng

Farnell

et al. 2020

Preprint

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“…Digital telecytology has several potential clinical applications, as listed in Table . Among these, the use of telepathology for consultation and expert opinion in difficult cases has been used most successfully with surgical pathology slides, and this has been well‐described in the literature . The adoption of telecytology consultation into clinical practice has been slower, however, due to the unique technical challenges inherent to cytopathology materials and the difficulties these materials impose on digital imaging, especially on digital whole slide scanning.…”

Section: Overview Of Telecytologymentioning

confidence: 99%

“…Among these, the use of telepathology for consultation and expert opinion in difficult cases has been used most successfully with surgical pathology slides, and this has been well-described in the literature. 3,[7][8][9] The adoption of telecytology consultation into clinical practice has been slower, however, due to the unique technical challenges inherent to cytopathology materials and the difficulties these Dynamic or live-streaming telecytology requires a microscope coupled to a video camera, a fast internet connection, and a reliable method for telecommunication (such as a head set). 4,12 With this modality, slides are viewed remotely by a cytopathologist in real-time.…”

Section: Ov Er V Ie W Of Te Le Cy Tolog Ymentioning

confidence: 99%

International telecytology: Current applications and future potential

Caron

Yan

et al. 2018

Diagnostic Cytopathology

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International telecytology can improve patient care by increasing access to regional and international expertise in cytopathology. The majority of international telecytology studies published to date have been based on static telepathology platforms. Overall concordance rates for these studies ranged from 71% to 93%. This is comparable to the concordance rates published for other studies comparing diagnoses made by digital still images to reference glass slides, which vary from 80% to 95%. Static telepathology systems are relatively cheap and easy to use, and have the potential to increase access to international experts in developing countries with limited resources. In contrast, resource-rich academic and private medical centers can use whole slide digital imaging (WSI) for telecytology consultation, though few studies have been published addressing this topic. International telepathology consultation services with digital whole slide image capabilities have been established at several academic medical centers including the University of Pittsburgh Medical Center (UPMC) and the University of California at Los Angeles (UCLA), through the UCLA Center for Telepathology and Digital Pathology. In a small series of 20 telecytology cases submitted to UCLA from 2014 to 2017 (10 gynecologic and 10 fine needle aspiration cases), a meaningful diagnosis was rendered for 100% of cases, with 100% concordance between the submitting institution, versus consultation diagnosis provided by UCLA. These limited results are promising, and in the future both WSI and static telecytology consultation may have a place serving clinical needs in different practice settings.

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“…As stated in our editorial, 1 we hope to address as many of the problems as possible. During the past year we have taken the time to reflect on the strengths and weaknesses of the cancer protocols and have started to change our process for protocol revision and review.…”

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confidence: 97%

“…5(p45) Undoubtedly, the diagnostic use of WSI will prove to be as safe as light microscopy, a technology that never needed regulatory approval by the US Food and Drug Administration, or faced any of the other WSI barriers. 1 …”

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confidence: 99%