Pathology Image Exchange: The Dutch Digital Pathology Platform for Exchange of Whole-Slide Images for Efficient Teleconsultation, Telerevision, and Virtual Expert Panels

Diest, Paul J. van; Huisman, André; Ekris, Jaap van; Meijer, Jos W. R.; Willems, Stefan M.; Hofhuis, Hannelore; Verbeek, Xander; Wel, Myrtle van der; Vos, Shoko; Leguit, Roos J.; Brand, Michiel van den; Hebeda, Konnie M.; Grünberg, Katrien

doi:10.1200/cci.18.00146

Cited by 19 publications

(15 citation statements)

References 9 publications

(10 reference statements)

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“…From a technical perspective, digital consultation pathology necessitates a vendor-independent platform for slide review of different provenance. A Dutch initiative has recently reported the setting up of a platform for the exchange of WSI for teleconsultation, and virtual expert panels [ 46 ].…”

Section: Medical Education and The Consultation Setting—advantagesmentioning

confidence: 99%

Digital Pathology: Advantages, Limitations and Emerging Perspectives

Jahn

Plass

Moinfar

2020

JCM

176

123

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Digital pathology is on the verge of becoming a mainstream option for routine diagnostics. Faster whole slide image scanning has paved the way for this development, but implementation on a large scale is challenging on technical, logistical, and financial levels. Comparative studies have published reassuring data on safety and feasibility, but implementation experiences highlight the need for training and the knowledge of pitfalls. Up to half of the pathologists are reluctant to sign out reports on only digital slides and are concerned about reporting without the tool that has represented their profession since its beginning. Guidelines by international pathology organizations aim to safeguard histology in the digital realm, from image acquisition over the setup of work-stations to long-term image archiving, but must be considered a starting point only. Cost-efficiency analyses and occupational health issues need to be addressed comprehensively. Image analysis is blended into the traditional work-flow, and the approval of artificial intelligence for routine diagnostics starts to challenge human evaluation as the gold standard. Here we discuss experiences from past digital pathology implementations, future possibilities through the addition of artificial intelligence, technical and occupational health challenges, and possible changes to the pathologist’s profession.

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Section: Medical Education and The Consultation Setting—advantagesmentioning

confidence: 99%

Digital Pathology: Advantages, Limitations and Emerging Perspectives

Jahn

Plass

Moinfar

2020

JCM

176

123

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“…The question remains, when should the use of clinical software support become routine? Other clinical disciplines have already embraced this 'disruptive' technology as the digital interface with the global community of domain experts [41], and to allow the real-time accessibility of all available data and the best solutions for comprehensive patient profiling and optimal therapy matching [42,43].…”

Section: Discussionmentioning

confidence: 99%

Software‐assisted decision support in digital histopathology

Huss

Coupland

2020

The Journal of Pathology

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Tissue diagnostics is the world of pathologists, and it is increasingly becoming digitalised to leverage the enormous potential of personalised medicine and of stratifying patients, enabling the administration of modern therapies. Therefore, the daily task for pathologists is changing drastically and will become increasingly demanding in order to take advantage of the development of modern computer technologies. The role of pathologist has rapidly evolved from exclusively describing the morphology and phenomenology of a disease, to becoming a gatekeeper for novel and most effective treatment options. This is possible based on the retrieval and management of a wide range of complex information from tissue or a group of cells and associated meta-data. Intelligent and self-learning software solutions can support and guide pathologists to score clinically relevant decisions based on the accurate and robust quantification of multiple target molecules or surrogate biomarker as companion or complimentary diagnostics along with relevant spatial relationships and contextual information from digital H&E and multiplexed images. With the availability of multiplex staining techniques on a single slide, high-resolution image analysis tools, and high-end computer hardware, machine and deep learning solutions now offer diagnostic rulesets and algorithms that still require clinical validation in well-designed studies. Before entering the clinical practice, the 'human factor' pathologist needs to develop trust in the output coming from the 'digital black box of computational pathology', including image analysis solutions and artificial intelligence algorithms to support critical clinical decisions which otherwise would not be available.

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“…This study is one of the only few focus group studies in digital pathology,[1112] which has the advantage of exploring the issues and challenges in greater depth compared to quantitative studies. Results from this study can be used as the basis to develop further quantitative surveys as an increasing number of UK departments transition to digital pathology.…”

Section: Discussionmentioning

confidence: 99%

On the Edge of a Digital Pathology Transformation: Views from a Cellular Pathology Laboratory Focus Group

Turnquist

Roberts-Gant

Hemsworth

et al. 2019

Journal of Pathology Informatics

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Introduction:Digital pathology has the potential to revolutionize the way clinical diagnoses are made while improving safety and quality. With a few notable exceptions in the UK, few National Health Service (NHS) departments have deployed digital pathology platforms. Thus, in the next few years, many departments are anticipated to undergo the transition to digital pathology. In this period of transition, capturing attitudes and experiences can elucidate issues to be addressed and foster collaboration between NHS Trusts. This study aims to qualitatively ascertain the benefits and challenges of transitioning to digital pathology from the perspectives of pathologists and biomedical scientists in a department about to undergo the transition from diagnostic reporting via traditional microscopy to digital pathology.Methods:A focus group discussion was held in the setting of a large NHS teaching hospital's cellular pathology department which was on the brink of transitioning to digital pathology. A set of open questions were developed and posed to a group of pathologists and biomedical scientists in a focus group setting. Notes of the discussion were made along with an audio recording with permission. The discussion was subsequently turned into a series of topic headings and analyzed using content analysis.Results:Identified benefits of digital pathology included enhanced collaboration, teaching, cost savings, research, growth of specialty, multidisciplinary teams, and patient-centered care. Barriers to transitioning to digital pathology included standardization, validation, national implementation, storage and backups, training, logistical implementation, cost-effectiveness, privacy, and legality.Conclusion:Many benefits of digital pathology were identified, but key barriers need to be addressed in order to fully implement digital pathology on a trust and national level.

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Pathology Image Exchange: The Dutch Digital Pathology Platform for Exchange of Whole-Slide Images for Efficient Teleconsultation, Telerevision, and Virtual Expert Panels

Cited by 19 publications

References 9 publications

Digital Pathology: Advantages, Limitations and Emerging Perspectives

Digital Pathology: Advantages, Limitations and Emerging Perspectives

Software‐assisted decision support in digital histopathology

On the Edge of a Digital Pathology Transformation: Views from a Cellular Pathology Laboratory Focus Group

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