Digital Pathology Applications and Research Case Studies

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Prior to slide digitization, skilled pathologists examined clinical trial data to determine evidence of disease and diagnose disease by reviewing glass specimen slides utilizing microscopes. To acquire interpretations, more than a few sets of slides were arranged from each patient’s tissue block, each slide comprising a different level of tissue, and shipped to reviewers. As a result of the alteration in tissue levels, variability in inter-reader interpretations of specimens was improved. Digital pathology decreases such variability by providing reviewers with matching digital images of patients’ tissue.  The field of digital pathology has exploded and is now regarded as one of the most promising avenues of diagnostic medicine in order to attain even better, faster and inexpensive diagnosis, prognosis and prediction of cancer and other significant diseases. Digital pathology and the implementation of image analysis have grown rapidly in the last few years. This is mostly due to the implementation of whole slide scanning, improvements in software and computer processing capacity and the increasing position of tissue-based research for biomarker discovery and stratified medicine. This review sets out the key application regions for digital pathology and image analysis, with a particular emphasis on research and biomarker discovery. Digital pathology and image analysis have significant roles across the drug/companion diagnostic improvement pipeline including biobankingmolecular pathology, tissue microarray analysismolecular profiling of tissue and these significant developments are reviewed. Underpinning all of these significant developments is the necessity for high quality tissue samples and the effect of pre-analytical variables on tissue research is discussed. This requirement is merged with practical advice on setting up and running a digital pathology laboratory.

  • Clinical trials
  • Diagnosis
  • Diagnostics
  • Biomarker analysis /research / quantification
  • Tissue based research / imaging
  • Biobanking
  • Precision / personalized medicine

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