1
|
Lempp C, Arms S, Bertram CA, Klopfleisch R, Igl BW, Hezler L, Nolte T, Pohlmeyer-Esch G. A Minimal Approach to Demonstrate Concordance of Digital and Conventional Microscopy in Toxicologic Pathology. Toxicol Pathol 2024:1926233241255125. [PMID: 38829005 DOI: 10.1177/01926233241255125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/05/2024]
Abstract
Digitalization of pathology workflows has undergone a rapid evolution and has been widely established in the diagnostic field but remains a challenge in the nonclinical safety context due to lack of regulatory guidance and validation experience for good laboratory practice (GLP) use. One means to demonstrate that digital slides are fit for purpose, that is, provide sufficient quality for pathologists to reach a diagnosis, is conduction of comparison studies, which have been published both, for veterinary and human diagnostic pathology, but not for toxicologic pathology. Here, we present an approach that uses study material from nonclinical safety studies and that allows for the statistical comparison of concordance rates for glass and digital slide evaluation while minimizing time and effort for the involved personnel. Using a benchmark study design, we demonstrate that evaluation of digital slides fits the purpose of nonclinical safety evaluation. These results add to reports of successful workflow validations and support the full adaptation of digital pathology in the regulatory field.
Collapse
Affiliation(s)
- Charlotte Lempp
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
| | - Stefanie Arms
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
| | | | | | | | - Leonie Hezler
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
| | - Thomas Nolte
- Boehringer Ingelheim Pharma GmbH & Co. KG, Biberach an der Riß, Germany
| | | |
Collapse
|
2
|
Boothe P, Martinez-Amador C, Hajarat T, Gonsalves C, Donthi D, Mukhtar F, Kresak J, Leon M. Validation and implementation of telecytology at an academic medical center using digital cameras and Microsoft Teams software. J Am Soc Cytopathol 2024:S2213-2945(24)00040-1. [PMID: 38834385 DOI: 10.1016/j.jasc.2024.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 03/22/2024] [Accepted: 04/17/2024] [Indexed: 06/06/2024]
Abstract
INTRODUCTION Rapid On-Site Evaluation of cytological samples obtained through fine needle aspiration for adequacy is a critical component of a cytology service; however, it imposes a significant time and cost burden for the practicing pathologist and the cytology service. Telecytology enables adequacy assessment by a pathologist remotely, greatly saving time. Telecytology also allows slide preparation and manipulation at the procedure site by an employee with less training requirements, liberating the cytotechnologist to screen cases and perform other laboratory duties - an important aspect to consider during times of cytotechnologist shortages. We propose a telecytology system with a simple setup of a microscope, microscope camera, laptop, and Microsoft Teams software. MATERIALS AND METHODS We designed a system consisting of a mobile cart, backup battery, microscope, digital camera, and a laptop computer with microscope imaging software and Microsoft Teams software for image transmission. Validation was performed by 4 pathologists making adequacy assessments on randomly selected previously signed out cases using the telecytology system. RESULTS Our validation of this system demonstrated a greater than 90% concurrence rate between the original adequacy call and the call made by pathologists using the telecytology system - a benchmark used by most, if not all, published validations of similar telecytology systems. In addition, the adequacy assessment concordance rate between select pathologists exceeded 90%. CONCLUSIONS In summary, our telecytology system provides excellent adequacy services for the clinicians and patients we serve. The Microsoft Teams software is a great tool for transmission of video microscopy. This system will be used with the goal of saving time and increasing efficiency for the cytopathology department.
Collapse
Affiliation(s)
- Paul Boothe
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida.
| | - Claudia Martinez-Amador
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - Tara Hajarat
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - Catherine Gonsalves
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - Deepak Donthi
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - Faisal Mukhtar
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - Jesse Kresak
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| | - Marino Leon
- Department of Pathology, Immunology and Laboratory Medicine, University of Florida, Gainesville, Florida
| |
Collapse
|
3
|
Li JW, Wang LM, Ichimasa K, Lin KW, Ngu JCY, Ang TL. Use of artificial intelligence in the management of T1 colorectal cancer: a new tool in the arsenal or is deep learning out of its depth? Clin Endosc 2024; 57:24-35. [PMID: 37743068 PMCID: PMC10834280 DOI: 10.5946/ce.2023.036] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Accepted: 05/11/2023] [Indexed: 09/26/2023] Open
Abstract
The field of artificial intelligence is rapidly evolving, and there has been an interest in its use to predict the risk of lymph node metastasis in T1 colorectal cancer. Accurately predicting lymph node invasion may result in fewer patients undergoing unnecessary surgeries; conversely, inadequate assessments will result in suboptimal oncological outcomes. This narrative review aims to summarize the current literature on deep learning for predicting the probability of lymph node metastasis in T1 colorectal cancer, highlighting areas of potential application and barriers that may limit its generalizability and clinical utility.
Collapse
Affiliation(s)
- James Weiquan Li
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore
- Academic Medicine Center, Duke-NUS Medical School, Singapore
| | - Lai Mun Wang
- Department of Laboratory Medicine, Changi General Hospital, Singapore Health Services, Singapore
| | - Katsuro Ichimasa
- Digestive Disease Center, Showa University Northern Yokohama Hospital, Yokohama, Japan
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Kenneth Weicong Lin
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore
- Academic Medicine Center, Duke-NUS Medical School, Singapore
| | - James Chi-Yong Ngu
- Department of General Surgery, Changi General Hospital, Singapore Health Services, Singapore
| | - Tiing Leong Ang
- Department of Gastroenterology and Hepatology, Changi General Hospital, Singapore Health Services, Singapore
- Academic Medicine Center, Duke-NUS Medical School, Singapore
| |
Collapse
|
4
|
Grobholz R, Janowczyk A, Frei AL, Kreutzfeldt M, Koelzer VH, Zlobec I. National digital pathology projects in Switzerland: A 2023 update. PATHOLOGIE (HEIDELBERG, GERMANY) 2023; 44:225-228. [PMID: 37987815 PMCID: PMC10739407 DOI: 10.1007/s00292-023-01259-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 10/19/2023] [Indexed: 11/22/2023]
Abstract
The Swiss Digital Pathology Consortium (SDiPath) was founded in 2018 as a working group of the Swiss Society for Pathology with the aim of networking, training, and promoting digital pathology (DP) at a national level. Since then, two national surveys have been carried out on the level of knowledge, dissemination, use, and needs in DP, which have resulted in clear fields of action. In addition to organizing symposia and workshops, national guidelines were drawn up and an initiative for a national DP platform actively codesigned. With the growing use of digital image processing and artificial intelligence tools, continuous monitoring, evaluation, and exchange of experiences will be pursued, along with best practices.
Collapse
Affiliation(s)
- Rainer Grobholz
- Medical Faculty, University of Zurich, Zurich, Switzerland.
- Institute of Pathology, Kantonsspital Aarau, Tellstr. 25, 5001, Aarau, Switzerland.
| | - Andrew Janowczyk
- Department of Biomedical Engineering, Emory University, Atlanta, GA, USA
- Department of Oncology, Division of Precision Oncology, University Hospital of Geneva, Geneva, Switzerland
- Department of Diagnostics, Division of Clinical Pathology, University Hospital of Geneva, Geneva, Switzerland
| | - Ana Leni Frei
- Institute for Tissue Medicine and Pathology, University Bern, Bern, Switzerland
| | - Mario Kreutzfeldt
- Department of Pathology and Immunology, Division of Clinical Pathology, University & University Hospitals of Geneva, Geneva, Switzerland
| | - Viktor H Koelzer
- Department of Pathology und Molecular Pathology, University Hospital Zurich, University of Zurich, Zurich, Switzerland
| | - Inti Zlobec
- Institute for Tissue Medicine and Pathology, University Bern, Bern, Switzerland
| |
Collapse
|
5
|
Hanna MG, Ardon O, Reuter VE, Sirintrapun SJ, England C, Klimstra DS, Hameed MR. Integrating digital pathology into clinical practice. Mod Pathol 2022; 35:152-164. [PMID: 34599281 DOI: 10.1038/s41379-021-00929-0] [Citation(s) in RCA: 32] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 09/03/2021] [Accepted: 09/12/2021] [Indexed: 11/09/2022]
Abstract
The field of anatomic pathology has been evolving in the last few decades and the advancements have been largely fostered by innovative technology. Immunohistochemistry enabled a paradigm shift in discovery and diagnostic evaluation, followed by booming genomic advancements which allowed for submicroscopic pathologic characterization, and now the field of digital pathology coupled with machine learning and big data acquisition is paving the way to revolutionize the pathology medical domain. Whole slide imaging (WSI) is a disruptive technology where glass slides are digitized to produce on-screen whole slide images. Specifically, in the past decade, there have been significant advances in digital pathology systems that have allowed this technology to promote integration into clinical practice. Whole slide images (WSI), or digital slides, can be viewed and navigated comparable to glass slides on a microscope, as digital files. Whole slide imaging has increased in adoption among pathologists, pathology departments, and scientists for clinical, educational, and research initiatives. Integration of digital pathology systems requires a coordinated effort with numerous stakeholders, not only within the pathology department, but across the entire enterprise. Each pathology department has distinct needs, use cases and blueprints, however the framework components and variables for successful clinical integration can be generalized across any organization seeking to undergo a digital transformation at any scale. This article will review those components and considerations for integrating digital pathology systems into clinical practice.
Collapse
Affiliation(s)
- Matthew G Hanna
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Orly Ardon
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Victor E Reuter
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | - Christine England
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - David S Klimstra
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Meera R Hameed
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| |
Collapse
|
6
|
McGenity C, Wright A, Treanor D. AIM in Surgical Pathology. Artif Intell Med 2022. [DOI: 10.1007/978-3-030-64573-1_278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
|
7
|
Wharton KA, Wood D, Manesse M, Maclean KH, Leiss F, Zuraw A. Tissue Multiplex Analyte Detection in Anatomic Pathology - Pathways to Clinical Implementation. Front Mol Biosci 2021; 8:672531. [PMID: 34386519 PMCID: PMC8353449 DOI: 10.3389/fmolb.2021.672531] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Accepted: 07/14/2021] [Indexed: 12/12/2022] Open
Abstract
Background: Multiplex tissue analysis has revolutionized our understanding of the tumor microenvironment (TME) with implications for biomarker development and diagnostic testing. Multiplex labeling is used for specific clinical situations, but there remain barriers to expanded use in anatomic pathology practice. Methods: We review immunohistochemistry (IHC) and related assays used to localize molecules in tissues, with reference to United States regulatory and practice landscapes. We review multiplex methods and strategies used in clinical diagnosis and in research, particularly in immuno-oncology. Within the framework of assay design and testing phases, we examine the suitability of multiplex immunofluorescence (mIF) for clinical diagnostic workflows, considering its advantages and challenges to implementation. Results: Multiplex labeling is poised to radically transform pathologic diagnosis because it can answer questions about tissue-level biology and single-cell phenotypes that cannot be addressed with traditional IHC biomarker panels. Widespread implementation will require improved detection chemistry, illustrated by InSituPlex technology (Ultivue, Inc., Cambridge, MA) that allows coregistration of hematoxylin and eosin (H&E) and mIF images, greater standardization and interoperability of workflow and data pipelines to facilitate consistent interpretation by pathologists, and integration of multichannel images into digital pathology whole slide imaging (WSI) systems, including interpretation aided by artificial intelligence (AI). Adoption will also be facilitated by evidence that justifies incorporation into clinical practice, an ability to navigate regulatory pathways, and adequate health care budgets and reimbursement. We expand the brightfield WSI system “pixel pathway” concept to multiplex workflows, suggesting that adoption might be accelerated by data standardization centered on cell phenotypes defined by coexpression of multiple molecules. Conclusion: Multiplex labeling has the potential to complement next generation sequencing in cancer diagnosis by allowing pathologists to visualize and understand every cell in a tissue biopsy slide. Until mIF reagents, digital pathology systems including fluorescence scanners, and data pipelines are standardized, we propose that diagnostic labs will play a crucial role in driving adoption of multiplex tissue diagnostics by using retrospective data from tissue collections as a foundation for laboratory-developed test (LDT) implementation and use in prospective trials as companion diagnostics (CDx).
Collapse
|
8
|
Betmouni S. Diagnostic digital pathology implementation: Learning from the digital health experience. Digit Health 2021; 7:20552076211020240. [PMID: 34211723 PMCID: PMC8216403 DOI: 10.1177/20552076211020240] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2020] [Accepted: 05/04/2021] [Indexed: 01/18/2023] Open
Abstract
Digital Pathology (also referred to as Telepathology and Whole Slide Imaging) is the process of producing high resolution digital images from tissue sections on glass slides. These glass slides are normally examined under a microscope by a pathologist as part of the diagnostic process. The emergence of digital pathology now means that digital images are stored on secure servers and can be viewed on computer monitors; enabling pathologists to work remotely and to collaborate with other colleagues when second opinions are needed. The implementation of digital pathology into clinical practice has many potential benefits. Although this has been long recognised, its adoption as a diagnostic tool remains low and pathologists’ projections about its future deployment are cautious. Notable early digital pathology adopters have led the way. The challenge now is to scale-up digital pathology beyond the relatively few large networks and centres of excellence. Many other areas of healthcare have accumulated experience about optimising approaches to digital health/healthcare technology deployment and sustainability. This has been done in a multi-disciplinary context and has applied theoretical/conceptual frameworks. Thus far there has been little use of similar frameworks in the planning of digital pathology deployment in clinical practice. In this essay, I will explore the scope of digital pathology implementation approaches that have been deployed in clinical practice and examine what can be learned from the wider healthcare experience of adopting, scaling-up and sustaining innovative healthcare solutions.
Collapse
Affiliation(s)
- Samar Betmouni
- Digital Health Enterprise Zone, University of Bradford, Bradford, UK.,Digital Health Enterprise Zone, University of Bradford, Bradford, UK
| |
Collapse
|
9
|
Danakas AM, Jones CE, Magguilli M, Lada MJ, Plavnicky J, Parajuli S, Wizorek JJ, Peyre CG, Ettel M, Sweeney M, De Las Casas LE. Optimising rapid on-site evaluation-assisted endobronchial ultrasound-guided transbronchial needle aspiration of mediastinal lymph nodes: The real-time cytopathology intervention process. Cytopathology 2021; 32:318-325. [PMID: 33543822 DOI: 10.1111/cyt.12956] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 10/27/2020] [Accepted: 01/09/2021] [Indexed: 11/29/2022]
Abstract
INTRODUCTION Lymph node sampling by endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) is the state of art procedure for staging the mediastinum and hilar regions in lung cancer patients. Our experience of implementing the real-time cytopathology intervention (RTCI) process for intraoperative EBUS-TBNAs is presented. This study is aimed to describe in detail the RTCI process for EBUS-TBNAs, and assess its utility and diagnostic yield before and after its implementation in parallel to conventional rapid on-site evaluation (c-ROSE). METHODS A retrospective review of all EBUS-TBNAs between July 2016 and July 2017 at the University of Rochester Medical Center was performed. Final diagnoses, patient clinical data, and number of non-diagnostic samples (NDS) were reviewed. The numbers of NDS obtained from EBUS-TBNAs with no cytology assistance (NCA), with RTCI and with c-ROSE were analysed. RESULTS Non-diagnostic lymph node samples were found in 20 out of 116 (17%), three out of 114 (2.6%) and 33 out of 286 (11.5%) cases with NCA, RTCI and c-ROSE, respectively. Application of statistical analysis revealed significant difference in the NDS between the groups of cases in the operating room with NCA and RTCI (P = .005). The different settings and variables between the cases performed using RTCI in the operating room and those assisted with c-ROSE in the bronchoscopy suite preclude legitimate comparison. CONCLUSION Our results indicate that the use of RTCI could yield a significantly low proportion of NDS when assisting EBUS-TBNA of mediastinal and hilar lymph node for lung cancer patients enhancing the diagnostic efficiency of the procedure.
Collapse
Affiliation(s)
- Alexandra M Danakas
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Carolyn E Jones
- Division of Thoracic and Foregut Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA
| | - Michael Magguilli
- Department of Pathology, Oklahoma University Medical Center, Oklahoma City, OK, USA
| | - Michal J Lada
- Division of Thoracic and Foregut Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA
| | - John Plavnicky
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Shobha Parajuli
- Department of Pathology and Laboratory Medicine, University of Cincinnati, Cincinnati, OH, USA
| | - Joseph J Wizorek
- Division of Thoracic and Foregut Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA
| | - Christian G Peyre
- Division of Thoracic and Foregut Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA
| | - Mark Ettel
- Division of Thoracic and Foregut Surgery, Department of Surgery, University of Rochester Medical Center, Rochester, NY, USA
| | - Melissa Sweeney
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA
| | - Luis E De Las Casas
- Department of Pathology and Laboratory Medicine, University of Rochester Medical Center, Rochester, NY, USA
| |
Collapse
|
10
|
Vatchala Rani RM, Manjunath BC, Bajpai M, Sharma R, Gupta P, Bhargava A. Virtual microscopy: The future of pathological diagnostics, dental education, and telepathology. INDIAN JOURNAL OF DENTAL SCIENCES 2021. [DOI: 10.4103/ijds.ijds_194_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
|
11
|
AIM in Surgical Pathology. Artif Intell Med 2021. [DOI: 10.1007/978-3-030-58080-3_278-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
|
12
|
Schumacher VL, Aeffner F, Barale-Thomas E, Botteron C, Carter J, Elies L, Engelhardt JA, Fant P, Forest T, Hall P, Hildebrand D, Klopfleisch R, Lucotte T, Marxfeld H, Mckinney L, Moulin P, Neyens E, Palazzi X, Piton A, Riccardi E, Roth DR, Rousselle S, Vidal JD, Williams B. The Application, Challenges, and Advancement Toward Regulatory Acceptance of Digital Toxicologic Pathology: Results of the 7th ESTP International Expert Workshop (September 20-21, 2019). Toxicol Pathol 2020; 49:720-737. [PMID: 33297858 DOI: 10.1177/0192623320975841] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
With advancements in whole slide imaging technology and improved understanding of the features of pathologist workstations required for digital slide evaluation, many institutions are investigating broad digital pathology adoption. The benefits of digital pathology evaluation include remote access to study or diagnostic case materials and integration of analysis and reporting tools. Diagnosis based on whole slide images is established in human medical pathology, and the use of digital pathology in toxicologic pathology is increasing. However, there has not been broad adoption in toxicologic pathology, particularly in the context of regulatory studies, due to lack of precedence. To address this topic, as well as practical aspects, the European Society of Toxicologic Pathology coordinated an expert international workshop to assess current applications and challenges and outline a set of minimal requirements needed to gain future regulatory acceptance for the use of digital toxicologic pathology workflows in research and development, so that toxicologic pathologists can benefit from digital slide technology.
Collapse
Affiliation(s)
- Vanessa L Schumacher
- 1529Roche Innovation Center Basel, Pharma Research and Early Development, F. Hoffmann-La Roche, Ltd, Basel, Switzerland
| | - Famke Aeffner
- Amgen Inc, Amgen Research, Translational Safety and Bioanalytical Sciences, South San Francisco, CA, USA
| | | | | | | | - Laëtitia Elies
- 72810Bayer Crop Science Division, Sophia Antipolis, France.,25913Charles River Laboratories, Lyon, France
| | | | | | | | | | | | - Robert Klopfleisch
- 9166Freie Universitaet Berlin, Institute of Veterinary Pathology, Berlin, Germany
| | - Thomas Lucotte
- 56511Agence nationale de sécurité du médicament et des produits de santé (ANSM), Saint-Denis, France
| | | | - LuAnn Mckinney
- 4137US Food and Drug Administration, Silver Spring, MD, USA
| | | | - Elizabeth Neyens
- Elizabethtoxpath Consulting Inc, Vancouver, British Columbia, Canada
| | | | - Alain Piton
- ALP Quality Systems, Sophia Antipolis, France
| | | | | | | | | | - Bethany Williams
- 572272Department of Histopathology, Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom.,Faculty of Medicine and Health, University of Leeds, Leeds, United Kingdom
| |
Collapse
|
13
|
Hacking S, Nasim R, Lee L, Vitkovski T, Thomas R, Shaffer E, Nasim M. Whole slide imaging and colorectal carcinoma: A validation study for tumor budding and stromal differentiation. Pathol Res Pract 2020; 216:153233. [PMID: 33068916 DOI: 10.1016/j.prp.2020.153233] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Revised: 09/21/2020] [Accepted: 09/23/2020] [Indexed: 02/07/2023]
Abstract
Whole slide imaging (WSI) has recently received FDA approval for sign out in surgical pathology and some anticipate this to mature into the gold standard. During this transition, it will be important to validate WSI for its intended use. And many studies have validated whole slide imaging by comparing diagnostic accuracy with that of conventual light microscopy (CLM); however, the assessment of histopathologic markers is prone to much more discrepancy. One of the best examples being tumor-bud scoring in colorectal carcinoma. Other signatures, including stromal differentiation or desmoplastic reaction; could better represent the epithelial-mesenchymal transition. The findings in our study suggest stromal differentiation on both digital and glass slides to be much more reproducible (0.3585-0.9368) when compared to tumor budding (0.0968-0.7871). When comparing interobserver variation between glass and digital slides for three observers; stromal differentiation was more reliable on glass slides (0.4492), when compared to its digital counterpart (0.3016). On the other hand, interobserver variation for tumor bud scoring was more reliable on digital (0.1661), than glass slides (0.1026). Overall, there is significant variation between different observers and reproducibility issues present on conventual light microscopy transfer to digital slides. Although it is possible that too much emphasis is being placed on the concordance of WSI with CLM. In future, applications in artificial intelligence may be key to diagnostic precision and improved patient outcomes.
Collapse
Affiliation(s)
- Sean Hacking
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Northwell, United States.
| | | | - Lili Lee
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Northwell, United States
| | - Taisia Vitkovski
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Northwell, United States
| | - Rebecca Thomas
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Northwell, United States
| | - Emily Shaffer
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Northwell, United States
| | - Mansoor Nasim
- Department of Pathology and Laboratory Medicine, Donald and Barbara Zucker School of Medicine at Northwell, United States
| |
Collapse
|
14
|
Stathonikos N, Nguyen TQ, van Diest PJ. Rocky road to digital diagnostics: implementation issues and exhilarating experiences. J Clin Pathol 2020; 74:415-420. [PMID: 32988997 DOI: 10.1136/jclinpath-2020-206715] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 07/29/2020] [Indexed: 12/31/2022]
Abstract
Since 2007, we have gradually been building up infrastructure for digital pathology, starting with a whole slide scanner park to build up a digital archive to streamline doing multidisciplinary meetings, student teaching and research, culminating in a full digital diagnostic workflow where we are currently integrating artificial intelligence algorithms. In this paper, we highlight the different steps in this process towards digital diagnostics, which was at times a rocky road with definitely issues in implementation, but eventually an exciting new way to practice pathology in a more modern and efficient way where patient safety has clearly gone up.
Collapse
Affiliation(s)
| | - Tri Q Nguyen
- Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Paul J van Diest
- Pathology, University Medical Center Utrecht, Utrecht, The Netherlands
| |
Collapse
|
15
|
“Teledermatopathology: A Review”. CURRENT DERMATOLOGY REPORTS 2020. [DOI: 10.1007/s13671-020-00299-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
|