Review of the current state of whole slide imaging in pathology
By Liron Pantanowitz, P. Valenstein, A. Evans, K. Kaplan, J. Pfeifer, D. Wilbur, L. Collins, T. Colgan. Journal of Pathology Informatics, 2011
428 citations recorded by the source corpus.
Whole slide imaging (WSI), or "virtual" microscopy, involves the scanning (digitization) of glass slides to produce "digital slides". WSI has been advocated for diagnostic, educational and research purposes. When used for remote frozen section diagnosis, WSI requires a thorough implementation period coupled with trained support personnel. Adoption of WSI for rendering pathologic diagnoses on a routine basis has been shown to be successful in only a few "niche" applications. Wider adoption will most likely require full integration with the laboratory information system, continuous automated scanning, high-bandwidth connectivity, massive storage capacity, and more intuitive user interfaces. Nevertheless, WSI has been reported to enhance specific pathology practices, such as scanning slides received in consultation or of legal cases, of slides to be used for patient care conferences, for quality assurance purposes, to retain records of slides to be sent out or destroyed by ancillary testing, and for performing digital image analysis. In addition to technical issues, regulatory and validation requirements related to WSI have yet to be adequately addressed. Although limited validation studies have been published using WSI there are currently no standard guidelines for validating WSI for diagnostic use in the clinical laboratory. This review addresses the current status of WSI in pathology related to regulation and validation, the provision of remote and routine pathologic diagnoses, educational uses, implementation issues, and the cost-benefit analysis of adopting WSI in routine clinical practice.
Subfields: Artificial Intelligence, Biophysics, Public Health, Environmental and Occupational Health
View Paper: https://www.semanticscholar.org/paper/3f390c9b714f3e604ea9af1f9709c81e270ae4ef
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Citations in the corpus
- Artificial Intelligence and Digital Pathology: Challenges and Opportunities (2018, neutral): “of the widespread adoption of whole slide imaging (WSI) in lieu of traditional light microscopes.[1,2] Depicting”
- Dual-stream Multiple Instance Learning Network for Whole Slide Image Classification with Self-supervised Contrastive Learning (2020, methodology): “Whole slide scanning is a powerful and widely used tool to visualize tissue sections in disease diagnosis, medical education, and pathological research [9, 34, 35].”
- DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification (2022, background): “The increasing use of WSIs in histopathology results in digital pathology providing huge improvements in workflow and diagnosis decision-making by pathologists [7,21,24,29,31], but it also stimulates the need for intelligent or automatic analytical tools of WSIs [11, 20, 36, 40, 44, 48, 49].”