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Whole Slide Imaging: Applications

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Whole Slide Imaging

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Abstract

Whole slide imaging (WSI) represents a paradigm shift in pathology, serving as a necessary first step for a wide array of digital tools to enter the field. Its impact on pathology workflow, reproducibility, dissemination of educational material, expansion of service to underprivileged areas, and institutional collaboration exemplifies a significant innovative movement. The US FDA approval to the WSI system for its use in primary surgical pathology diagnosis has opened opportunities for wider application of this technology in routine practice. The ongoing technological advances in digital scanners, image visualization methods, and the integration of artificial intelligence-derived algorithms with these systems provide further avenues to exploit its applications. Its benefits are innumerable such as ease of access through internet, avoidance of physical storage space, and no risk of deterioration of staining quality or breakage of slides to name a few. Some barriers including the high cost, technical glitches, and most importantly professional hesitation to adopt a new technology have hindered its use in pathology. Herein we summarize the technical aspects of WSI, its applications in diagnostic pathology, training, and research along with future perspectives. It also highlights improved understanding of the current challenges to implementation, as well as the benefits and successes of the technology.

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References

  1. Parwani AV. Next generation diagnostic pathology: use of digital pathology and artificial intelligence tools to augment a pathological diagnosis. Diagn Pathol. 2019;14:138.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Thorstenson S, Molin J, Lundstrom C. Implementation of large-scale routine diagnostics using whole slide imaging in Sweden: digital pathology experiences 2006-2013. J Pathol Inform. 2014;5:14.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Pantanowitz L, Sharma A, Carter AB, et al. Twenty years of digital pathology: an overview of the road travelled, what is on the horizon, and the emergence of vendor-neutral archives. J Pathol Inform. 2018;9:40.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Parwani AV. Digital pathology enhances cancer diagnostics. MLO Med Lab Obs. 2017;49:25.

    PubMed  Google Scholar 

  5. Ordi J, Castillo P, Saco A, et al. Validation of whole slide imaging in the primary diagnosis of gynaecological pathology in a University Hospital. J Clin Pathol. 2015;68:33–9.

    Article  PubMed  Google Scholar 

  6. Saco A, Bombi JA, Garcia A, et al. Current status of whole-slide imaging in education. Pathobiology. 2016;83:79–88.

    Article  PubMed  Google Scholar 

  7. Borowsky AD, Glassy EF, Wallace WD, et al. Digital whole slide imaging compared with light microscopy for primary diagnosis in surgical pathology. Arch Pathol Lab Med. 2020;144:1245–53.

    Article  PubMed  Google Scholar 

  8. Glassy EF. Rebooting the pathology journal: learning in the age of digital pathology. Arch Pathol Lab Med. 2014;138:728–9.

    Article  PubMed  Google Scholar 

  9. Parwani AV, Amin MB. Convergence of digital pathology and artificial intelligence tools in anatomic pathology practice: current landscape and future directions. Adv Anat Pathol. 2020;27:221–6.

    Article  PubMed  Google Scholar 

  10. Zarella MD, Bowman D, Aeffner F, et al. A practical guide to whole slide imaging: a white paper from the digital pathology association. Arch Pathol Lab Med. 2019;143:222–34.

    Article  PubMed  Google Scholar 

  11. Hanna MG, Parwani A, Sirintrapun SJ. Whole slide imaging: technology and applications. Adv Anat Pathol. 2020;27:251–9.

    Article  PubMed  Google Scholar 

  12. Parwani A. Overcoming barriers to digital pathology. MLO Med Lab Obs. 2016;48:38.

    PubMed  Google Scholar 

  13. Ho J, Ahlers SM, Stratman C, et al. Can digital pathology result in cost savings? A financial projection for digital pathology implementation at a large integrated health care organization. J Pathol Inform. 2014;5:33.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Farris AB, Cohen C, Rogers TE, Smith GH. Whole slide imaging for analytical anatomic pathology and telepathology: practical applications today, promises, and perils. Arch Pathol Lab Med. 2017;141:542–50.

    Article  CAS  PubMed  Google Scholar 

  15. Cucoranu IC, Parwani AV, Pantanowitz L. Digital whole slide imaging in cytology. Arch Pathol Lab Med. 2014;138:300.

    Article  PubMed  Google Scholar 

  16. Indu M, Rathy R, Binu MP. “Slide less pathology”: fairy tale or reality? J Oral Maxillofac Pathol. 2016;20:284–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Higgins C. Applications and challenges of digital pathology and whole slide imaging. Biotech Histochem. 2015;90:341–7.

    Article  CAS  PubMed  Google Scholar 

  18. Pantanowitz L, Szymas J, Yagi Y, Wilbur D. Whole slide imaging for educational purposes. J Pathol Inform. 2012;3:46.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Pantanowitz L, Wiley CA, Demetris A, et al. Experience with multimodality telepathology at the University of Pittsburgh Medical Center. J Pathol Inform. 2012;3:45.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Park S, Pantanowitz L, Parwani AV. Digital imaging in pathology. Clin Lab Med. 2012;32:557–84.

    Article  PubMed  Google Scholar 

  21. Isaacs M, Lennerz JK, Yates S, et al. Implementation of whole slide imaging in surgical pathology: a value added approach. J Pathol Inform. 2011;2:39.

    Article  PubMed  PubMed Central  Google Scholar 

  22. Saco A, Diaz A, Hernandez M, et al. Validation of whole-slide imaging in the primary diagnosis of liver biopsies in a University Hospital. Dig Liver Dis. 2017;49:1240–6.

    Article  PubMed  Google Scholar 

  23. Parwani AV, Hassell L, Glassy E, Pantanowitz L. Regulatory barriers surrounding the use of whole slide imaging in the United States of America. J Pathol Inform. 2014;5:38.

    Article  PubMed  PubMed Central  Google Scholar 

  24. Ho J, Aridor O, Glinski DW, et al. Needs and workflow assessment prior to implementation of a digital pathology infrastructure for the US Air Force Medical Service. J Pathol Inform. 2013;4:32.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Evans AJ, Bauer TW, Bui MM, et al. US Food and Drug Administration Approval of whole slide imaging for primary diagnosis: a key milestone is reached and new questions are raised. Arch Pathol Lab Med. 2018;142:1383–7.

    Article  PubMed  Google Scholar 

  26. Evans AJ, Kiehl TR, Croul S. Frequently asked questions concerning the use of whole-slide imaging telepathology for neuropathology frozen sections. Semin Diagn Pathol. 2010;27:160–6.

    Article  PubMed  Google Scholar 

  27. Abels E, Pantanowitz L. Current state of the regulatory trajectory for whole slide imaging devices in the USA. J Pathol Inform. 2017;8:23.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Pantanowitz L, Sinard JH, Henricks WH, et al. Validating whole slide imaging for diagnostic purposes in pathology: guideline from the College of American Pathologists Pathology and Laboratory Quality Center. Arch Pathol Lab Med. 2013;137:1710–22.

    Article  PubMed  PubMed Central  Google Scholar 

  29. Evans AJ, Vajpeyi R, Henry M, Chetty R. Establishment of a remote diagnostic histopathology service using whole slide imaging (digital pathology). J Clin Pathol. 2021;74(7):421–4.

    Google Scholar 

  30. Romero Lauro G, Cable W, Lesniak A, et al. Digital pathology consultations-a new era in digital imaging, challenges and practical applications. J Digit Imaging. 2013;26:668–77.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Hanna MG, Reuter VE, Ardon O, et al. Validation of a digital pathology system including remote review during the COVID-19 pandemic. Mod Pathol. 2020;33(11):2115–27.

    Google Scholar 

  32. Jukic DM, Drogowski LM, Martina J, Parwani AV. Clinical examination and validation of primary diagnosis in anatomic pathology using whole slide digital images. Arch Pathol Lab Med. 2011;135:372–8.

    Article  PubMed  Google Scholar 

  33. Clunie D, Hosseinzadeh D, Wintell M, et al. Digital imaging and communications in medicine whole slide imaging connectathon at digital pathology association pathology visions 2017. J Pathol Inform. 2018;9:6.

    Article  PubMed  PubMed Central  Google Scholar 

  34. Yagi Y. Color standardization and optimization in whole slide imaging. Diagn Pathol. 2011; 6 Suppl 1: S15.

    Google Scholar 

  35. Wack K, Drogowski L, Treloar M, et al. A multisite validation of whole slide imaging for primary diagnosis using standardized data collection and analysis. J Pathol Inform. 2016;7:49.

    Article  PubMed  PubMed Central  Google Scholar 

  36. Singh R, Chubb L, Pantanowitz L, Parwani A. Standardization in digital pathology: supplement 145 of the DICOM standards. J Pathol Inform. 2011;2:23.

    Article  PubMed  PubMed Central  Google Scholar 

  37. Ho J, Parwani AV, Jukic DM, et al. Use of whole slide imaging in surgical pathology quality assurance: design and pilot validation studies. Hum Pathol. 2006;37:322–31.

    Article  PubMed  Google Scholar 

  38. Hartman DJ. Whole-slide imaging: clinical workflows and primary diagnosis. Adv Anat Pathol. 2020;27:236–40.

    Article  PubMed  Google Scholar 

  39. Hartman DJ, Parwani AV, Cable B, et al. Pocket pathologist: a mobile application for rapid diagnostic surgical pathology consultation. J Pathol Inform. 2014;5:10.

    Article  PubMed  PubMed Central  Google Scholar 

  40. Volynskaya Z, Evans AJ, Asa SL. Clinical applications of whole-slide imaging in anatomic pathology. Adv Anat Pathol. 2017;24:215–21.

    Article  PubMed  Google Scholar 

  41. Pantanowitz L, Parwani AV, Khalbuss WE. Digital imaging for cytopathology: are we there yet? Cytopathology. 2011;22:73–4.

    Article  CAS  PubMed  Google Scholar 

  42. Li L, Dangott BJ, Parwani AV. Development and use of a genitourinary pathology digital teaching set for trainee education. J Pathol Inform. 2010;1:2.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Scarl RT, Parwani A, Yearsley M. From glass-time to screen-time. Arch Pathol Laeb Med. 2021;145:644.

    Article  Google Scholar 

  44. Singh A, Monroe R. Diagnosis for digital pathology. MLO Med Lab Obs. 2009;41:28–9.

    PubMed  Google Scholar 

  45. Yoshida H, Yokota H, Singh R, et al. Meeting report: the international workshop on harmonization and standardization of digital pathology image, held on April 4, 2019 in Tokyo. Pathobiology. 2019;86:322–4.

    Article  PubMed  Google Scholar 

  46. Girolami I, Parwani A, Barresi V, et al. The landscape of digital pathology in transplantation: from the beginning to the virtual E-slide. J Pathol Inform. 2019;10:21.

    Article  PubMed  PubMed Central  Google Scholar 

  47. Rhoads DD, Habib-Bein NF, Hariri RS, et al. Comparison of the diagnostic utility of digital pathology systems for telemicrobiology. J Pathol Inform. 2016;7:10.

    Article  PubMed  PubMed Central  Google Scholar 

  48. Rohde GK, Ozolek JA, Parwani AV, Pantanowitz L. Carnegie Mellon University bioimaging day 2014: Challenges and opportunities in digital pathology. J Pathol Inform. 2014;5:32.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Evans AJ, Salama ME, Henricks WH, Pantanowitz L. Implementation of whole slide imaging for clinical purposes: issues to consider from the perspective of early adopters. Arch Pathol Lab Med. 2017;141:944–59.

    Article  PubMed  Google Scholar 

  50. Lee BC, Hsieh ST, Chang YL, et al. A web-based virtual microscopy platform for improving academic performance in histology and pathology laboratory courses: a pilot study. Anat Sci Educ. 2020;13:743–58.

    Article  PubMed  Google Scholar 

  51. Arnold MA, Chenever E, Baker PB, et al. The College of American Pathologists guidelines for whole slide imaging validation are feasible for pediatric pathology: a pediatric pathology practice experience. Pediatr Dev Pathol. 2015;18:109–16.

    Article  PubMed  Google Scholar 

  52. Chen YK, Hsue SS, Lin DC, et al. An application of virtual microscopy in the teaching of an oral and maxillofacial pathology laboratory course. Oral Surg Oral Med Oral Pathol Oral Radiol Endod. 2008;105:342–7.

    Article  PubMed  Google Scholar 

  53. Fraggetta F, Yagi Y, Garcia-Rojo M, et al. The importance of eSlide macro images for primary diagnosis with whole slide imaging. J Pathol Inform. 2018;9:46.

    Article  PubMed  PubMed Central  Google Scholar 

  54. Guo H, Birsa J, Farahani N, et al. Digital pathology and anatomic pathology laboratory information system integration to support digital pathology sign-out. J Pathol Inform. 2016;7:23.

    Article  PubMed  PubMed Central  Google Scholar 

  55. Krupinski EA, Silverstein LD, Hashmi SF, et al. Observer performance using virtual pathology slides: impact of LCD color reproduction accuracy. J Digit Imaging. 2012;25:738–43.

    Article  PubMed  PubMed Central  Google Scholar 

  56. Pantanowitz L, Valenstein PN, Evans AJ, et al. Review of the current state of whole slide imaging in pathology. J Pathol Inform. 2011;2:36.

    Article  PubMed  PubMed Central  Google Scholar 

  57. Bruch LA, De Young BR, Kreiter CD, et al. Competency assessment of residents in surgical pathology using virtual microscopy. Hum Pathol. 2009;40:1122–8.

    Article  PubMed  Google Scholar 

  58. Girolami I, Pantanowitz L, Marletta S, et al. Diagnostic concordance between whole slide imaging and conventional light microscopy in cytopathology: a systematic review. Cancer Cytopathol. 2020;128:17–28.

    Article  PubMed  Google Scholar 

  59. Eccher A, Brunelli M, Pantanowitz L, et al. Innovation in transplantation: the digital era. J Pathol Inform. 2018;9:33.

    Article  PubMed  PubMed Central  Google Scholar 

  60. Hanna MG, Reuter VE, Hameed MR, et al. Whole slide imaging equivalency and efficiency study: experience at a large academic center. Mod Pathol. 2019;32:916–28.

    Article  PubMed  Google Scholar 

  61. Kayser K, Ogilvie R, Borkenfeld S, Kayser G. E-education in pathology including certification of e-institutions. Diagn Pathol. 2011; 6 Suppl 1: S11.

    Google Scholar 

  62. Wilbur DC, Madi K, Colvin RB, et al. Whole-slide imaging digital pathology as a platform for teleconsultation: a pilot study using paired subspecialist correlations. Arch Pathol Lab Med. 2009;133:1949–53.

    Article  PubMed  PubMed Central  Google Scholar 

  63. Parwani AV. Preface. Pathology informatics. Surg Pathol Clin. 2015;8:xi–xii.

    Article  PubMed  Google Scholar 

  64. Pantanowitz L, Dickinson K, Evans AJ, et al. ATA clinical guidelines for telepathology. Telemed J E Health. 2014;20:1049–56.

    Article  PubMed  Google Scholar 

  65. Evans AJ, Depeiza N, Allen SG, et al. Use of whole slide imaging (WSI) for distance teaching. J Clin Pathol. 2021;74(7):425–8.

    Google Scholar 

  66. Camparo P, Egevad L, Algaba F, et al. Utility of whole slide imaging and virtual microscopy in prostate pathology. APMIS. 2012;120:298–304.

    Article  PubMed  Google Scholar 

  67. Al Habeeb A, Evans A, Ghazarian D. Virtual microscopy using whole-slide imaging as an enabler for teledermatopathology: a paired consultant validation study. J Pathol Inform. 2012;3:2.

    Article  PubMed  PubMed Central  Google Scholar 

  68. Ghaznavi F, Evans A, Madabhushi A, Feldman M. Digital imaging in pathology: whole-slide imaging and beyond. Annu Rev Pathol. 2013;8:331–59.

    Article  CAS  PubMed  Google Scholar 

  69. Williams BJ, Fraggetta F, Hanna MG, et al. The future of pathology: what can we learn from the COVID-19 pandemic? J Pathol Inform. 2020;11:15.

    Article  PubMed  PubMed Central  Google Scholar 

  70. Afework A, Beynon MD, Bustamante F, et al. Digital dynamic telepathology–the Virtual Microscope. Proc AMIA Symp. 1998:912–6.

    Google Scholar 

  71. Park S, Pantanowitz L, Parwani AV, et al. Workflow organization in pathology. Clin Lab Med. 2012;32:601–22.

    Article  PubMed  Google Scholar 

  72. Pantanowitz L, Dickinson K, Evans AJ, et al. American Telemedicine Association clinical guidelines for telepathology. J Pathol Inform. 2014;5:39.

    Article  PubMed  PubMed Central  Google Scholar 

  73. Pantanowitz L, McHugh J, Cable W, et al. Imaging file management to support international telepathology. J Pathol Inform. 2015;6:17.

    Article  PubMed  PubMed Central  Google Scholar 

  74. Tetu B. The Canadian Association of Pathology guidelines for establishing a diagnostic telepathology service using whole-slide imaging. Ann Pathol. 2014;34:256–7.

    PubMed  Google Scholar 

  75. Zhao C, Wu T, Ding X, et al. International telepathology consultation: three years of experience between the University of Pittsburgh Medical Center and KingMed Diagnostics in China. J Pathol Inform. 2015;6:63.

    Article  PubMed  PubMed Central  Google Scholar 

  76. Montalto MC. Pathology RE-imagined: the history of digital radiology and the future of anatomic pathology. Arch Pathol Lab Med. 2008;132:764–5.

    Article  PubMed  Google Scholar 

  77. Montalto MC. An industry perspective: an update on the adoption of whole slide imaging. J Pathol Inform. 2016;7:18.

    Article  PubMed  PubMed Central  Google Scholar 

  78. Weinstein RS, Graham AR, Richter LC, et al. Overview of telepathology, virtual microscopy, and whole slide imaging: prospects for the future. Hum Pathol. 2009;40:1057–69.

    Article  PubMed  Google Scholar 

  79. Weinstein RS, Descour MR, Liang C, et al. Telepathology overview: from concept to implementation. Hum Pathol. 2001;32:1283–99.

    Article  CAS  PubMed  Google Scholar 

  80. Lopez AM, Graham AR, Barker GP, et al. Virtual slide telepathology enables an innovative telehealth rapid breast care clinic. Hum Pathol. 2009;40:1082–91.

    Article  PubMed  Google Scholar 

  81. Feldman MD. Beyond morphology: whole slide imaging, computer-aided detection, and other techniques. Arch Pathol Lab Med. 2008;132:758–63.

    Article  PubMed  Google Scholar 

  82. Aeffner F, Zarella MD, Buchbinder N, et al. Introduction to digital image analysis in whole-slide imaging: a white paper from the digital pathology association. J Pathol Inform. 2019;10:9.

    Article  PubMed  PubMed Central  Google Scholar 

  83. Mindiola Romero AE, Black CC, Jackson CR. Overcoming Educational challenges and impact of COVID-19 in a pathology residency program. Acad Pathol. 2021;8:2374289521994235.

    Article  PubMed  PubMed Central  Google Scholar 

  84. Hipp JD, Fernandez A, Compton CC, Balis UJ. Why a pathology image should not be considered as a radiology image. J Pathol Inform. 2011;2:26.

    Article  PubMed  PubMed Central  Google Scholar 

  85. Patterson ES, Rayo M, Gill C, Gurcan MN. Barriers and facilitators to adoption of soft copy interpretation from the user perspective: lessons learned from filmless radiology for slideless pathology. J Pathol Inform. 2011;2:1.

    Article  PubMed  PubMed Central  Google Scholar 

  86. Iyengar JN. Whole slide imaging: the futurescape of histopathology. Indian J Pathol Microbiol. 2021;64:8–13.

    PubMed  Google Scholar 

  87. Lundstrom C, Thorstenson S, Waltersson M, et al. Summary of 2(nd) Nordic symposium on digital pathology. J Pathol Inform. 2015;6:5.

    Article  PubMed  PubMed Central  Google Scholar 

  88. Jantti T, Luhtala S, Maenpaa J, Staff S. Characterization of immunoreactivity with whole-slide imaging and digital analysis in high-grade serous ovarian cancer. Tumour Biol. 2020;42:1010428320971404.

    Article  CAS  PubMed  Google Scholar 

  89. Cornish TC, Swapp RE, Kaplan KJ. Whole-slide imaging: routine pathologic diagnosis. Adv Anat Pathol. 2012;19:152–9.

    Article  PubMed  Google Scholar 

  90. Ammendola S, Bariani E, Eccher A, et al. The histopathological diagnosis of atypical meningioma: glass slide versus whole slide imaging for grading assessment. Virchows Arch. 2021;478:747–56.

    Article  CAS  PubMed  Google Scholar 

  91. Rao V, Subramanian P, Sali AP, et al. Validation of Whole Slide Imaging for primary surgical pathology diagnosis of prostate biopsies. Indian J Pathol Microbiol. 2021;64:78–83.

    PubMed  Google Scholar 

  92. Mukhopadhyay S, Feldman MD, Abels E, et al. Whole slide imaging versus microscopy for primary diagnosis in surgical pathology: a multicenter blinded randomized noninferiority study of 1992 cases (Pivotal Study). Am J Surg Pathol. 2018;42:39–52.

    Article  PubMed  Google Scholar 

  93. Graham AR, Bhattacharyya AK, Scott KM, et al. Virtual slide telepathology for an academic teaching hospital surgical pathology quality assurance program. Hum Pathol. 2009;40:1129–36.

    Article  PubMed  Google Scholar 

  94. Khushi M, Edwards G, de Marcos DA, et al. Open source tools for management and archiving of digital microscopy data to allow integration with patient pathology and treatment information. Diagn Pathol. 2013;8:22.

    Article  PubMed  PubMed Central  Google Scholar 

  95. Daniel C, Rojo MG, Klossa J, et al. Standardizing the use of whole slide images in digital pathology. Comput Med Imaging Graph. 2011;35:496–505.

    Article  PubMed  Google Scholar 

  96. Jara-Lazaro AR, Thamboo TP, Teh M, Tan PH. Digital pathology: exploring its applications in diagnostic surgical pathology practice. Pathology. 2010;42:512–8.

    Article  PubMed  Google Scholar 

  97. Blum AE, Murphy GF, Lee JJ. Digital dermatopathology: the time is now. J Cutan Pathol. 2021;48:469–71.

    Article  PubMed  Google Scholar 

  98. Chordia TD, Vikey A, Choudhary AB, et al. Current status and future trends in telepathology and digital pathology. J Oral Maxillofac Pathol. 2016;20:178–82.

    Article  PubMed  PubMed Central  Google Scholar 

  99. Farahani N, Pantanowitz L. Overview of telepathology. Surg Pathol Clin. 2015;8:223–31.

    Article  PubMed  Google Scholar 

  100. Abels E, Pantanowitz L, Aeffner F, et al. Computational pathology definitions, best practices, and recommendations for regulatory guidance: a white paper from the Digital Pathology Association. J Pathol. 2019;249:286–94.

    Article  PubMed  PubMed Central  Google Scholar 

  101. Lara H, Li Z, Abels E et al. Quantitative image analysis for tissue biomarker use: a white paper from the digital pathology association. Appl Immunohistochem Mol Morphol. 2021.

    Google Scholar 

  102. Kim D, Pantanowitz L, Schuffler P, et al. (Re) Defining the high-power field for digital pathology. J Pathol Inform. 2020;11:33.

    Article  PubMed  PubMed Central  Google Scholar 

  103. Niazi MKK, Parwani AV, Gurcan MN. Digital pathology and artificial intelligence. Lancet Oncol. 2019;20:e253–61.

    Article  PubMed  PubMed Central  Google Scholar 

  104. Turner OC, Aeffner F, Bangari DS, et al. Society of Toxicologic Pathology Digital Pathology and Image Analysis Special Interest Group Article*: Opinion on the application of artificial intelligence and machine learning to digital toxicologic pathology. Toxicol Pathol. 2020;48:277–94.

    Article  PubMed  Google Scholar 

  105. McClintock DS, Lee RE, Gilbertson JR. Using computerized workflow simulations to assess the feasibility of whole slide imaging full adoption in a high-volume histology laboratory. Anal Cell Pathol (Amst). 2012;35:57–64.

    Article  Google Scholar 

  106. Hassell LA, Parwani AV, Weiss L, et al. Challenges and opportunities in the adoption of College of American Pathologists checklists in electronic format: perspectives and experience of Reporting Pathology Protocols Project (RPP2) participant laboratories. Arch Pathol Lab Med. 2010;134:1152–9.

    Article  PubMed  Google Scholar 

  107. Thrall MJ, Wimmer JL, Schwartz MR. Validation of multiple whole slide imaging scanners based on the guideline from the College of American Pathologists Pathology and Laboratory Quality Center. Arch Pathol Lab Med. 2015;139:656–64.

    Article  CAS  PubMed  Google Scholar 

  108. Fine JL, Grzybicki DM, Silowash R, et al. Evaluation of whole slide image immunohistochemistry interpretation in challenging prostate needle biopsies. Hum Pathol. 2008;39:564–72.

    Article  PubMed  Google Scholar 

  109. Lee KC, Mak LS. Virtual electron microscopy: a simple implementation creating a new paradigm in ultrastructural examination. Int J Surg Pathol. 2011;19:570–5.

    Article  PubMed  Google Scholar 

  110. Lee RE, McClintock DS, Laver NM, Yagi Y. Evaluation and optimization for liquid-based preparation cytology in whole slide imaging. J Pathol Inform. 2011;2:46.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  111. Khalbuss WE, Pantanowitz L, Parwani AV. Digital imaging in cytopathology. Pathol Res Int. 2011;2011:264683.

    Article  Google Scholar 

  112. Bongaerts O, Clevers C, Debets M, et al. Conventional microscopical versus digital whole-slide imaging-based diagnosis of thin-layer cervical specimens: a validation study. J Pathol Inform. 2018;9:29.

    Article  PubMed  PubMed Central  Google Scholar 

  113. Hanna MG, Pantanowitz L. Why is digital pathology in cytopathology lagging behind surgical pathology? Cancer Cytopathol. 2017;125:519–20.

    Article  PubMed  Google Scholar 

  114. Mosquera-Zamudio A, Hanna MG, Parra-Medina R, et al. Advantage of Z-stacking for teleconsultation between the USA and Colombia. Diagn Cytopathol. 2019;47:35–40.

    Article  PubMed  Google Scholar 

  115. Zarella MD, Jakubowski J. Video compression to support the expansion of whole-slide imaging into cytology. J Med Imaging (Bellingham). 2019;6:047502.

    Google Scholar 

  116. Hanna MG, Monaco SE, Cuda J, et al. Comparison of glass slides and various digital-slide modalities for cytopathology screening and interpretation. Cancer Cytopathol. 2017;125:701–9.

    Article  PubMed  Google Scholar 

  117. Hanna MG, Pantanowitz L. Feasibility of using the Omnyx digital pathology system for cytology practice. J Am Soc Cytopathol. 2019;8:182–9.

    Article  PubMed  Google Scholar 

  118. Wright AM, Smith D, Dhurandhar B, et al. Digital slide imaging in cervicovaginal cytology: a pilot study. Arch Pathol Lab Med. 2013;137:618–24.

    Article  PubMed  Google Scholar 

  119. Van Es SL, Greaves J, Gay S, et al. Constant quest for quality: digital cytopathology. J Pathol Inform. 2018;9:13.

    Article  PubMed  PubMed Central  Google Scholar 

  120. Van Es SL, White V, Ross J, et al. Digital cytopathology: a constant evolution (Comments on Capitanio et al. digital cytology: a short review of technical and methodological approaches and applications). Cytopathology. 2019;30:262–3.

    Article  PubMed  Google Scholar 

  121. Amin W, Srintrapun SJ, Parwani AV. Automated whole slide imaging. Expert Opin Med Diagn. 2008;2:1173–81.

    Article  PubMed  Google Scholar 

  122. Somanchi S, Neill DB, Parwani AV. Discovering anomalous patterns in large digital pathology images. Stat Med. 2018;37:3599–615.

    Article  PubMed  Google Scholar 

  123. Niazi MKK, Yazgan E, Tavolara TE, et al. Semantic segmentation to identify bladder layers from H&E images. Diagn Pathol. 2020;15:87.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  124. Lam AK, Leung M. Whole-slide imaging of esophageal squamous cell carcinoma. Methods Mol Biol. 2020;2129:107–17.

    Article  CAS  PubMed  Google Scholar 

  125. Hanna MG, Pantanowitz L, Evans AJ. Overview of contemporary guidelines in digital pathology: what is available in 2015 and what still needs to be addressed? J Clin Pathol. 2015;68:499–505.

    Article  PubMed  Google Scholar 

  126. Bauer TW, Schoenfield L, Slaw RJ, et al. Validation of whole slide imaging for primary diagnosis in surgical pathology. Arch Pathol Lab Med. 2013;137:518–24.

    Article  PubMed  Google Scholar 

  127. Amin S, Mori T, Itoh T. A validation study of whole slide imaging for primary diagnosis of lymphoma. Pathol Int. 2019;69:341–9.

    PubMed  Google Scholar 

  128. Yu H, Gao F, Jiang L, Ma S. Development of a whole slide imaging system on smartphones and evaluation with frozen section samples. JMIR Mhealth Uhealth. 2017;5:e132.

    Article  PubMed  PubMed Central  Google Scholar 

  129. Wang S, Yang DM, Rong R, et al. Artificial intelligence in lung cancer pathology image analysis. Cancers (Basel). 2019;11:1673.

    Article  Google Scholar 

  130. Senaras C, Niazi MKK, Lozanski G, Gurcan MN. DeepFocus: Detection of out-of-focus regions in whole slide digital images using deep learning. PLoS One. 2018;13:e0205387.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  131. Slodkowska J, Rojo MG. Digital pathology in personalized cancer therapy. Folia Histochem Cytobiol. 2011;49:570–8.

    Article  CAS  PubMed  Google Scholar 

  132. Bera K, Schalper KA, Rimm DL, et al. Artificial intelligence in digital pathology – new tools for diagnosis and precision oncology. Nat Rev Clin Oncol. 2019;16:703–15.

    Article  PubMed  PubMed Central  Google Scholar 

  133. Yamada M, Saito A, Yamamoto Y, et al. Quantitative nucleic features are effective for discrimination of intraductal proliferative lesions of the breast. J Pathol Inform. 2016;7:1.

    Article  PubMed  PubMed Central  Google Scholar 

  134. Li AC, Zhao J, Zhao C, et al. Quantitative digital imaging analysis of HER2 immunohistochemistry predicts the response to anti-HER2 neoadjuvant chemotherapy in HER2-positive breast carcinoma. Breast Cancer Res Treat. 2020;180:321–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  135. Feng M, Deng Y, Yang L, et al. Automated quantitative analysis of Ki-67 staining and HE images recognition and registration based on whole tissue sections in breast carcinoma. Diagn Pathol. 2020;15:65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  136. Volynskaya Z, Mete O, Pakbaz S, et al. Ki67 quantitative interpretation: insights using image analysis. J Pathol Inform. 2019;10:8.

    Article  PubMed  PubMed Central  Google Scholar 

  137. Mercan E, Mehta S, Bartlett J, et al. Assessment of machine learning of breast pathology structures for automated differentiation of breast cancer and high-risk proliferative lesions. JAMA Netw Open. 2019;2:e198777.

    Article  PubMed  PubMed Central  Google Scholar 

  138. Komura D, Ishikawa S. Machine learning approaches for pathologic diagnosis. Virchows Arch. 2019;475:131–8.

    Article  CAS  PubMed  Google Scholar 

  139. Chang HY, Jung CK, Woo JI, et al. Artificial intelligence in pathology. J Pathol Transl Med. 2019;53:1–12.

    Article  PubMed  Google Scholar 

  140. Colling R, Pitman H, Oien K, et al. Artificial intelligence in digital pathology: a roadmap to routine use in clinical practice. J Pathol. 2019;249:143–50.

    Article  PubMed  Google Scholar 

  141. Kumar A, Prateek M. Localization of nuclei in breast cancer using whole slide imaging system supported by morphological features and shape formulas. Cancer Manag Res. 2020;12:4573–83.

    Article  PubMed  PubMed Central  Google Scholar 

  142. Mahmood T, Arsalan M, Owais M, et al. Artificial intelligence-based mitosis detection in breast cancer histopathology images using faster R-CNN and deep CNNs. J Clin Med. 2020;9

    Google Scholar 

  143. Komura D, Ishikawa S. Machine learning methods for histopathological image analysis. Comput Struct Biotechnol J. 2018;16:34–42.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  144. Griffin J, Treanor D. Digital pathology in clinical use: where are we now and what is holding us back? Histopathology. 2017;70:134–45.

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. Department of Pathology and Laboratory Medicine, Advanced Medical Research Institute, Bhubaneswar, Odisha, India

    Sambit K. Mohanty

  2. Department of Pathology, College of Medicine, The Ohio State University Wexner Medical School, Columbus, OH, USA

    Anil V. Parwani

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  1. Sambit K. Mohanty
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  2. Anil V. Parwani
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  1. Department of Pathology, The Ohio State University Wexner Medical School, Columbus, OH, USA

    Anil V. Parwani

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Mohanty, S.K., Parwani, A.V. (2022). Whole Slide Imaging: Applications. In: Parwani, A.V. (eds) Whole Slide Imaging. Springer, Cham. https://doi.org/10.1007/978-3-030-83332-9_3

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  • DOI: https://doi.org/10.1007/978-3-030-83332-9_3

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