The advent of digital pathology: A depth review

Digital pathology is an image based information environment which is enabled by computer technology that allows for the management of information generated from a digital slide. Digital pathology is enabled in part by virtual microscopy, which is the practice of converting glass slides into digital slides that can be viewed, managed, shared and analyzed on a computer monitor. Growing demand for accurate and reliable diagnosis along with issues of patient safety is pushing traditional diagnosis towards an update. Over the last two-three decades the field of optics has made great advancements in the form of ever-improving optics and digital cameras. Persistent gains in computer processing power, data transfer speeds, advances in software and cloud storage solutions have enabled the use of digital images for a wide variety of purposes in pathology. High-resolution images are generated from whole glass slides which can be analyzed and managed using software. Digital Pathology has become a useful and valuable tool in clinical and research pathology. A fully digital workflow would mean that image analysis could be performed on any pathology image without the need for specific image preparation. Image analysis software is already widely available, and has FDA regulatory approval. The digital decade will likely redefine how pathology is practiced and the role of the pathologist.

[1]  P. Klonowski,et al.  Current usage and future trends in gross digital photography in Canada , 2014, BMC medical education.

[2]  Navid Farahani,et al.  Overview of Telepathology. , 2016, Clinics in laboratory medicine.

[3]  Liron Pantanowitz,et al.  Digital Imaging in Cytopathology , 2011, Pathology research international.

[4]  Trupti Dinesh Chordia,et al.  Current status and future trends in telepathology and digital pathology , 2016, Journal of oral and maxillofacial pathology : JOMFP.

[5]  Anil Vasdev Parwani,et al.  Digital imaging in pathology. , 2012, Clinics in laboratory medicine.

[6]  Mari Mino-Kenudson,et al.  Whole-slide imaging digital pathology as a platform for teleconsultation: a pilot study using paired subspecialist correlations. , 2009, Archives of pathology & laboratory medicine.

[7]  Andrew Janowczyk,et al.  Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases , 2016, Journal of pathology informatics.

[8]  M K Baruah The practice of telepathology in India. , 2005, Journal of postgraduate medicine.

[9]  Gloria Bueno García,et al.  Critical Comparison of 31 Commercially Available Digital Slide Systems in Pathology , 2006, International journal of surgical pathology.

[10]  Mislabeling of Cases, Specimens, Blocks, and Slides: A College of American Pathologists Study of 136 Institutions , 2012 .

[11]  Ronald S Weinstein,et al.  Reconciliation of diverse telepathology system designs. Historic issues and implications for emerging markets and new applications , 2012, APMIS : acta pathologica, microbiologica, et immunologica Scandinavica.

[12]  Rajendra Singh,et al.  Standardization in digital pathology: Supplement 145 of the DICOM standards , 2011, Journal of pathology informatics.

[13]  Rhona J. Souers,et al.  Laboratory compliance with the American Society of Clinical Oncology/college of American Pathologists guidelines for human epidermal growth factor receptor 2 testing: a College of American Pathologists survey of 757 laboratories. , 2010, Archives of pathology & laboratory medicine.

[14]  Liron Pantanowitz,et al.  Practice evolution: decentralized computer-assisted immunohistochemical image analysis. , 2009, Archives of Pathology & Laboratory Medicine.

[15]  C Higgins,et al.  Applications and challenges of digital pathology and whole slide imaging , 2015, Biotechnic & histochemistry : official publication of the Biological Stain Commission.

[16]  Fangru Lian,et al.  Virtual slide telepathology for an academic teaching hospital surgical pathology quality assurance program. , 2009, Human pathology.

[17]  Alexis B. Carter,et al.  Validating whole slide imaging for diagnostic purposes in pathology: guideline from the College of American Pathologists Pathology and Laboratory Quality Center. , 2013, Archives of pathology & laboratory medicine.

[18]  L. Pantanowitz Digital images and the future of digital pathology , 2010, Journal of pathology informatics.

[19]  Yee-Wah Tsang,et al.  Validation of digital pathology imaging for primary histopathological diagnosis , 2016, Histopathology.

[20]  Anil V. Parwani,et al.  Use of contextual inquiry to understand anatomic pathology workflow: Implications for digital pathology adoption , 2012, Journal of pathology informatics.

[21]  M Indu,et al.  “Slide less pathology”: Fairy tale or reality? , 2016, Journal of oral and maxillofacial pathology : JOMFP.

[22]  Stefan M Willems,et al.  The estimation of tumor cell percentage for molecular testing by pathologists is not accurate , 2014, Modern Pathology.

[23]  Jon Griffin,et al.  Digital pathology in clinical use: where are we now and what is holding us back? , 2017, Histopathology.

[24]  R Redondo,et al.  Quality evaluation of microscopy and scanned histological images for diagnostic purposes. , 2012, Micron.

[25]  A. Jara-Lazaro,et al.  Digital pathology: exploring its applications in diagnostic surgical pathology practice , 2010, Pathology.

[26]  Lim Chai Ling,et al.  Telepathology - An Update , 2012 .

[27]  Janina Słodkowska,et al.  Use of the virtual slide and the dynamic real-time telepathology systems for a consultation and the frozen section intra-operative diagnosis in thoracic/pulmonary pathology. , 2010, Folia histochemica et cytobiologica.

[28]  Navid Farahani,et al.  whole slide imaging in pathology: advantages, limitations, and emerging perspectives , 2015 .

[29]  K. Washington,et al.  Assessment of Hepatic Steatosis by Expert Pathologists: The End of a Gold Standard , 2009, Annals of surgery.

[30]  Yan Peng,et al.  Quantification of Human Epidermal Growth Factor Receptor 2 Immunohistochemistry Using the Ventana Image Analysis System: Correlation With Gene Amplification by Fluorescence In Situ Hybridization The Importance of Instrument Validation for Achieving High (>95%) Concordance Rate , 2015, The American journal of surgical pathology.

[31]  Anil Parwani,et al.  Validation of Digital Pathology In a Healthcare Environment , 2011 .

[32]  Yinhai Wang,et al.  Automated tumor analysis for molecular profiling in lung cancer , 2015, Oncotarget.

[33]  Liron Pantanowitz,et al.  Imaging file management to support international telepathology , 2015, Journal of pathology informatics.

[34]  Andrea Botti,et al.  A Filmless Radiology Department in a Full Digital Regional Hospital: Quantitative Evaluation of the Increased Quality and Efficiency , 2007, Journal of Digital Imaging.