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Petersen JM, Jhala N, Jhala DN. The Critical Value of Telepathology in the COVID-19 Era. Fed Pract 2023; 40:186-193. [PMID: 37860072 PMCID: PMC10584409 DOI: 10.12788/fp.0381] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/21/2023]
Abstract
Background Telepathology, which includes the use of telecommunication links, helps enable transmission of digital pathology images for primary diagnosis, quality assurance, education, research, or second opinion diagnoses. Observations This review covers all aspects of telepathology implementation, including the selection of platforms, budgets and regulations, validation, implementation, education, quality monitoring, and the potential to improve practice. Considering the long-term trends, the lessons of the COVID-19 pandemic, and the potential for future pandemics or other disasters, the validation and implementation of telepathology remains a reasonable choice for laboratories looking to improve their practice. Conclusions Though barriers to implementation exist, there are potential benefits, such as the wide spectrum of uses like frozen section, telecytology, primary diagnosis, and second opinions. Telepathology represents an innovation that may transform the future of pathology practice.
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Affiliation(s)
- Jeffrey M Petersen
- Corporal Michael J Crescenz Veteran Affairs Medical Center, Philadelphia, Pennsylvania
- University of Pennsylvania, Philadelphia
| | | | - Darshana N Jhala
- Corporal Michael J Crescenz Veteran Affairs Medical Center, Philadelphia, Pennsylvania
- University of Pennsylvania, Philadelphia
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2
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Eccher A, Malvi D, Novelli L, Mescoli C, D'Errico A. Second Opinion in the Italian Organ Procurement Transplantation: The Pathologist Is In. Clin Pract 2023; 13:610-615. [PMID: 37218806 DOI: 10.3390/clinpract13030055] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2023] [Revised: 04/18/2023] [Accepted: 04/26/2023] [Indexed: 05/24/2023] Open
Abstract
Second opinion consultation is a well-established practice in different clinical settings of diagnostic medicine. However, little is known about second opinion consultation activity in transplantation, and even less is known about it concerning donor assessment. The consultations provided by the second opinion service led to the safer and homogeneous management of donors with a history of malignancy or ongoing neoplasm by transplant centers. Indeed, two of the most important aspects are the reduction of semantic differences in cancer reporting and the standardization of procedures, which are mainly due to the different settings and logistics of different pathology services. This article aims to discuss the role and the future of the second opinion in Italy during organ procurement, highlighting the critical issues and areas for improvement.
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Affiliation(s)
- Albino Eccher
- Department of Pathology and Diagnostics and Public Health, Section of Pathology, University Hospital of Verona, 37136 Verona, Italy
- Second Opinion, National Transplant Center, 00161 Rome, Italy
| | - Deborah Malvi
- Second Opinion, National Transplant Center, 00161 Rome, Italy
- Pathology Unit, Department of Specialized, Experimental and Diagnostic Medicine, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
| | - Luca Novelli
- Second Opinion, National Transplant Center, 00161 Rome, Italy
- Institute of Histopathology and Molecular Diagnosis, Careggi University Hospital, 50134 Florence, Italy
| | - Claudia Mescoli
- Second Opinion, National Transplant Center, 00161 Rome, Italy
- Surgical Pathology and Cytopathology Unit, Department of Medicine, University and Hospital Trust of Padua, 35128 Padua, Italy
| | - Antonietta D'Errico
- Second Opinion, National Transplant Center, 00161 Rome, Italy
- Pathology Unit, Department of Specialized, Experimental and Diagnostic Medicine, IRCCS, Azienda Ospedaliero-Universitaria di Bologna, 40138 Bologna, Italy
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3
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Rizzo PC, Girolami I, Marletta S, Pantanowitz L, Antonini P, Brunelli M, Santonicco N, Vacca P, Tumino N, Moretta L, Parwani A, Satturwar S, Eccher A, Munari E. Technical and Diagnostic Issues in Whole Slide Imaging Published Validation Studies. Front Oncol 2022; 12:918580. [PMID: 35785212 PMCID: PMC9246412 DOI: 10.3389/fonc.2022.918580] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Accepted: 05/24/2022] [Indexed: 01/07/2023] Open
Abstract
ObjectiveDigital pathology with whole-slide imaging (WSI) has many potential clinical and non-clinical applications. In the past two decades, despite significant advances in WSI technology adoption remains slow for primary diagnosis. The aim of this study was to identify common pitfalls of WSI reported in validation studies and offer measures to overcome these challenges.MethodsA systematic search was conducted in the electronic databases Pubmed-MEDLINE and Embase. Inclusion criteria were all validation studies designed to evaluate the feasibility of WSI for diagnostic clinical use in pathology. Technical and diagnostic problems encountered with WSI in these studies were recorded.ResultsA total of 45 studies were identified in which technical issues were reported in 15 (33%), diagnostic issues in 8 (18%), and 22 (49%) reported both. Key technical problems encompassed slide scan failure, prolonged time for pathologists to review cases, and a need for higher image resolution. Diagnostic challenges encountered were concerned with grading dysplasia, reliable assessment of mitoses, identification of microorganisms, and clearly defining the invasive front of tumors.ConclusionDespite technical advances with WSI technology, some critical concerns remain that need to be addressed to ensure trustworthy clinical diagnostic use. More focus on the quality of the pre-scanning phase and training of pathologists could help reduce the negative impact of WSI technical difficulties. WSI also seems to exacerbate specific diagnostic tasks that are already challenging among pathologists even when examining glass slides with conventional light microscopy.
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Affiliation(s)
- Paola Chiara Rizzo
- Department of Pathology and Diagnostics and Public Health, Section of Pathology, University Hospital of Verona, Verona, Italy
| | | | - Stefano Marletta
- Department of Pathology and Diagnostics and Public Health, Section of Pathology, University Hospital of Verona, Verona, Italy
- Department of Pathology, Pederzoli Hospital, Peschiera del Garda, Italy
| | - Liron Pantanowitz
- Department of Pathology & Clinical Labs, University of Michigan, Ann Arbor, MI, United States
| | - Pietro Antonini
- Department of Pathology and Diagnostics and Public Health, Section of Pathology, University Hospital of Verona, Verona, Italy
| | - Matteo Brunelli
- Department of Pathology and Diagnostics and Public Health, Section of Pathology, University Hospital of Verona, Verona, Italy
| | - Nicola Santonicco
- Department of Pathology and Diagnostics and Public Health, Section of Pathology, University Hospital of Verona, Verona, Italy
| | - Paola Vacca
- Bambino Gesù Children’s Hospital, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Nicola Tumino
- Bambino Gesù Children’s Hospital, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Lorenzo Moretta
- Bambino Gesù Children’s Hospital, Istituto di Ricovero e Cura a Carattere Scientifico (IRCCS), Rome, Italy
| | - Anil Parwani
- Department of Pathology, Ohio State University Medical Center, Columbus, OH, United States
| | - Swati Satturwar
- Department of Pathology, Ohio State University Medical Center, Columbus, OH, United States
| | - Albino Eccher
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
- *Correspondence: Albino Eccher,
| | - Enrico Munari
- Department of Molecular and Translational Medicine, University of Brescia, Brescia, Italy
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4
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Kantasiripitak C, Laohawetwanit T, Apornvirat S, Niemnapa K. Validation of whole slide imaging for frozen section diagnosis of lymph node metastasis: A retrospective study from a tertiary care hospital in Thailand. Ann Diagn Pathol 2022; 60:151987. [PMID: 35700561 DOI: 10.1016/j.anndiagpath.2022.151987] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 05/23/2022] [Accepted: 06/03/2022] [Indexed: 11/01/2022]
Abstract
BACKGROUND The use of whole slide imaging (WSI) for frozen section (FS) diagnosis is helpful, particularly in the context of pathologist shortages. However, there is minimal data on such usage in resource-limited settings. This study aims to validate the use of WSI for FS diagnosis of lymph node metastasis using a low-cost virtual microscope scanner with consumer-grade laptops at a tertiary care hospital in Thailand. METHODS FS slides were retrieved for which the clinical query was to evaluate lymph node metastasis. They were digitized by a virtual microscope scanner (MoticEasyScan, Hong Kong) using up to 40× optical magnification. Three observers with different pathology experience levels diagnosed each slide, reviewing glass slides (GS) followed by digital slides (DS) after two weeks of a wash out period. WSI and GS diagnoses were compared. The time used for scanning and diagnosis of each slide was recorded. RESULTS 295 FS slides were retrieved and digitized. The first-time successful scanning rate was 93.6 %. The mean scanning time was 2 min per slide. Both intraobserver agreement and interobserver agreement of WSI and GS diagnoses were high (Cohen's K; kappa value >0.84). The time used for DS diagnosis decreased as the observer's experience with WSI increased. CONCLUSIONS Despite varying pathological experiences, observers using WSI provided accurate FS diagnoses of lymph node metastasis. The time required for DS diagnoses decreased with additional observer's experience with WSI. Therefore, a WSI system containing low-cost scanners and consumer-grade laptops could be used for FS services in hospital laboratories lacking pathologists.
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Affiliation(s)
| | - Thiyaphat Laohawetwanit
- Division of Pathology, Thammasat University Hospital, Pathum Thani, Thailand; Division of Pathology, Chulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand.
| | - Sompon Apornvirat
- Division of Pathology, Thammasat University Hospital, Pathum Thani, Thailand; Division of Pathology, Chulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand
| | - Kongkot Niemnapa
- Advanced Digital Simulation Center, Chulabhorn International College of Medicine, Thammasat University, Pathum Thani, Thailand
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5
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Evans AJ, Brown RW, Bui MM, Chlipala EA, Lacchetti C, Milner DA, Pantanowitz L, Parwani AV, Reid K, Riben MW, Reuter VE, Stephens L, Stewart RL, Thomas NE. Validating Whole Slide Imaging Systems for Diagnostic Purposes in Pathology. Arch Pathol Lab Med 2022; 146:440-450. [PMID: 34003251 DOI: 10.5858/arpa.2020-0723-cp] [Citation(s) in RCA: 72] [Impact Index Per Article: 36.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2021] [Indexed: 11/06/2022]
Abstract
CONTEXT.— The original guideline, "Validating Whole Slide Imaging for Diagnostic Purposes in Pathology," was published in 2013 and included 12 guideline statements. The College of American Pathologists convened an expert panel to update the guideline following standards established by the National Academies of Medicine for developing trustworthy clinical practice guidelines. OBJECTIVE.— To assess evidence published since the release of the original guideline and provide updated recommendations for validating whole slide imaging (WSI) systems used for diagnostic purposes. DESIGN.— An expert panel performed a systematic review of the literature. Frozen sections, anatomic pathology specimens (biopsies, curettings, and resections), and hematopathology cases were included. Cytology cases were excluded. Using the Grading of Recommendations Assessment, Development, and Evaluation approach, the panel reassessed and updated the original guideline recommendations. RESULTS.— Three strong recommendations and 9 good practice statements are offered to assist laboratories with validating WSI digital pathology systems. CONCLUSIONS.— Systematic review of literature following release of the 2013 guideline reaffirms the use of a validation set of at least 60 cases, establishing intraobserver diagnostic concordance between WSI and glass slides and the use of a 2-week washout period between modalities. Although all discordances between WSI and glass slide diagnoses discovered during validation need to be reconciled, laboratories should be particularly concerned if their overall WSI-glass slide concordance is less than 95%.
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Affiliation(s)
- Andrew J Evans
- From the Department of Pathology, Mackenzie Health, Richmond Hill, Ontario, Canada (Evans)
| | - Richard W Brown
- The Department of Pathology, Memorial Hermann Southwest Hospital, Houston, Texas (Brown)
| | - Marilyn M Bui
- The Department of Pathology, Moffitt Cancer Center, Tampa, Florida (Bui)
| | | | - Christina Lacchetti
- Policy and Advocacy, American Society of Clinical Oncology, Alexandria, Virginia (Lacchetti)
| | - Danny A Milner
- American Society for Clinical Pathology, Chicago, Illinois (Milner)
| | - Liron Pantanowitz
- The Department of Pathology, University of Michigan, Ann Arbor (Pantanowitz)
| | - Anil V Parwani
- The Department of Pathology, Ohio State University Medical Center, Columbus (Parwani)
| | | | - Michael W Riben
- The Department of Pathology, University of Texas MD Anderson Cancer Center, Houston (Riben)
| | - Victor E Reuter
- The Department of Pathology, Memorial Sloan-Kettering Cancer Center, New York, New York (Reuter)
| | - Lisa Stephens
- The Department of Anatomic Pathology, Cleveland Clinic, Cleveland, Ohio (Stephens)
| | - Rachel L Stewart
- Janssen Research & Development, Spring House, Pennsylvania (Stewart)
| | - Nicole E Thomas
- Surveys (Thomas), College of American Pathologists, Northfield, Illinois
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6
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Kaushal RK, Rajaganesan S, Rao V, Sali A, More B, Desai SB. Validation of a Portable Whole-Slide Imaging System for Frozen Section Diagnosis. J Pathol Inform 2021; 12:33. [PMID: 34760330 PMCID: PMC8529342 DOI: 10.4103/jpi.jpi_95_20] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 01/19/2021] [Accepted: 03/08/2021] [Indexed: 11/04/2022] Open
Abstract
Background Frozen section (FS) diagnosis is one of the promising applications of digital pathology (DP). However, the implementation of an appropriate and economically viable DP solution for FS in routine practice is challenging. The objective of this study was to establish the non-inferiority of whole-slide imaging (WSI) versus optical microscopy (OM) for FS diagnosis using a low cost and portable DP system. Materials and Methods A validation study to investigate the technical performance and diagnostic accuracy of WSI versus OM for FS diagnosis was performed using 60 FS cases[120 slides i.e, 60 hematoxylin and eosin (H & E) and 60 toluidine blue (TOLB)]. The diagnostic concordance, inter- and intra-observer agreement for FS diagnosis by WSI versus OM were recorded. Results The first time successful scanning rate was 89.1% (107/120). Mean scanning time per slide for H and E and TOLB slide was 1:47 min (range; 0:22-3: 21 min) and 1:46 min (range; 0:21-3: 20 min), respectively. Mean storage space per slide for H and E and TOLB slide was 0.83 GB (range: 0.12-1.73 GB) and 0.71 GB (range: 0.11-1.66 GB), respectively. Considering major discrepancies, the overall diagnostic concordance for OM and WSI, when compared with the reference standard, was 95.42% and 95.83%, respectively. There was almost perfect intra as well as inter-observer agreement (k ≥ 0.8) among 4 pathologists between WSI and OM for FS diagnosis. Mean turnaround time (TAT) of 14:58 min was observed using WSI for FS diagnosis, which was within the College of American Pathologists recommended range for FS reporting. The image quality was average to best quality in most of the cases. Conclusion WSI was noninferior to OM for FS diagnosis across various specimen types. This portable WSI system can be safely adopted for routine FS diagnosis and provides an economically viable alternative to high-end scanners.
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Affiliation(s)
- Rajiv Kumar Kaushal
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | | | - Vidya Rao
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Akash Sali
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India.,Department of Pathology, Homi Bhabha Cancer Hospital, Sangrur, Punjab, India
| | - Balaji More
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
| | - Sangeeta B Desai
- Department of Pathology, Tata Memorial Hospital, Homi Bhabha National Institute, Mumbai, Maharashtra, India
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7
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Li X, Davis RC, Xu Y, Wang Z, Souma N, Sotolongo G, Bell J, Ellis M, Howell D, Shen X, Lafata KJ, Barisoni L. Deep learning segmentation of glomeruli on kidney donor frozen sections. J Med Imaging (Bellingham) 2021; 8:067501. [PMID: 34950750 PMCID: PMC8685284 DOI: 10.1117/1.jmi.8.6.067501] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2021] [Accepted: 11/08/2021] [Indexed: 10/15/2023] Open
Abstract
Purpose: Recent advances in computational image analysis offer the opportunity to develop automatic quantification of histologic parameters as aid tools for practicing pathologists. We aim to develop deep learning (DL) models to quantify nonsclerotic and sclerotic glomeruli on frozen sections from donor kidney biopsies. Approach: A total of 258 whole slide images (WSI) from cadaveric donor kidney biopsies performed at our institution ( n = 123 ) and at external institutions ( n = 135 ) were used in this study. WSIs from our institution were divided at the patient level into training and validation datasets (ratio: 0.8:0.2), and external WSIs were used as an independent testing dataset. Nonsclerotic ( n = 22767 ) and sclerotic ( n = 1366 ) glomeruli were manually annotated by study pathologists on all WSIs. A nine-layer convolutional neural network based on the common U-Net architecture was developed and tested for the segmentation of nonsclerotic and sclerotic glomeruli. DL-derived, manual segmentation, and reported glomerular count (standard of care) were compared. Results: The average Dice similarity coefficient testing was 0.90 and 0.83. And the F 1 , recall, and precision scores were 0.93, 0.96, and 0.90, and 0.87, 0.93, and 0.81, for nonsclerotic and sclerotic glomeruli, respectively. DL-derived and manual segmentation-derived glomerular counts were comparable, but statistically different from reported glomerular count. Conclusions: DL segmentation is a feasible and robust approach for automatic quantification of glomeruli. We represent the first step toward new protocols for the evaluation of donor kidney biopsies.
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Affiliation(s)
- Xiang Li
- Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States
| | - Richard C. Davis
- Duke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States
| | - Yuemei Xu
- Duke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States
- Nanjing Drum Tower Hospital, Department of Pathology, Nanjing, China
| | - Zehan Wang
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Nao Souma
- Duke University, Department of Medicine, Division of Nephrology, Durham, North Carolina, United States
| | - Gina Sotolongo
- Duke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States
| | - Jonathan Bell
- Duke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States
| | - Matthew Ellis
- Duke University, Department of Medicine, Division of Nephrology, Durham, North Carolina, United States
- Duke University, Department of Surgery, Durham, North Carolina, United States
| | - David Howell
- Duke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States
| | - Xiling Shen
- Duke University, Department of Biomedical Engineering, Durham, North Carolina, United States
| | - Kyle J. Lafata
- Duke University, Department of Electrical and Computer Engineering, Durham, North Carolina, United States
- Duke University, Department of Radiation Oncology, Durham, North Carolina, United States
- Duke University, Department of Radiology, Durham, North Carolina, United States
| | - Laura Barisoni
- Duke University, Department of Pathology, Division of AI and Computational Pathology, Durham, North Carolina, United States
- Duke University, Department of Medicine, Division of Nephrology, Durham, North Carolina, United States
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8
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Samuelson MI, Chen SJ, Boukhar SA, Schnieders EM, Walhof ML, Bellizzi AM, Robinson RA, Rajan K D A. Rapid Validation of Whole-Slide Imaging for Primary Histopathology Diagnosis. Am J Clin Pathol 2021; 155:638-648. [PMID: 33511392 PMCID: PMC7929400 DOI: 10.1093/ajcp/aqaa280] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
OBJECTIVES The ongoing global severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic necessitates adaptations in the practice of surgical pathology at scale. Primary diagnosis by whole-slide imaging (WSI) is a key component that would aid departments in providing uninterrupted histopathology diagnosis and maintaining revenue streams from disruption. We sought to perform rapid validation of the use of WSI in primary diagnosis meeting recommendations of the College of American Pathologists guidelines. METHODS Glass slides from clinically reported cases from 5 participating pathologists with a preset washout period were digitally scanned and reviewed in settings identical to typical reporting. Cases were classified as concordant or with minor or major disagreement with the original diagnosis. Randomized subsampling was performed, and mean concordance rates were calculated. RESULTS In total, 171 cases were included and distributed equally among participants. For the group as a whole, the mean concordance rate in sampled cases (n = 90) was 83.6% counting all discrepancies and 94.6% counting only major disagreements. The mean pathologist concordance rate in sampled cases (n = 18) ranged from 90.49% to 97%. CONCLUSIONS We describe a novel double-blinded method for rapid validation of WSI for primary diagnosis. Our findings highlight the occurrence of a range of diagnostic reproducibility when deploying digital methods.
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Affiliation(s)
- Megan I Samuelson
- Department of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA
| | - Stephanie J Chen
- Department of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA
| | - Sarag A Boukhar
- Department of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA
| | - Eric M Schnieders
- Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Mackenzie L Walhof
- Roy J. and Lucille A. Carver College of Medicine, University of Iowa, Iowa City, IA, USA
| | - Andrew M Bellizzi
- Department of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA
| | - Robert A Robinson
- Department of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA
| | - Anand Rajan K D
- Department of Pathology, University of Iowa Hospitals and Clinics, University of Iowa, Iowa City, IA, USA
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9
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Laurent-Bellue A, Poullier E, Pomerol JF, Adnet E, Redon MJ, Posseme K, Trassard O, Cherqui D, Zarca K, Guettier C. Four-Year Experience of Digital Slide Telepathology for Intraoperative Frozen Section Consultations in a Two-Site French Academic Department of Pathology. Am J Clin Pathol 2020; 154:414-423. [PMID: 32459303 DOI: 10.1093/ajcp/aqaa055] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
OBJECTIVES To share our experience with digital slide telepathology for intraoperative frozen section consultations (IOCs) and to describe its evolution over time by reporting performance metrics and addressing organizational and economic aspects. METHODS Since 2013, a technician has been alone at the surgical site. At the other site, the pathologist opens the digital slide from a local server via the intranet. Three periods were compared: a 6-month period of conventional IOC (period 1), a 24-month period of telepathology at 6 months after implementation (period 2), and a 12-month period of telepathology at 3.5 years after implementation (period 3). RESULTS In total, 87 conventional IOCs and 464 and 313 IOCs on digital slides were performed respectively during periods 1, 2, and 3; mean turnaround time was 27, 36, and 38 minutes, respectively, and there were a mean number of 1.1, 1.1, and 1.3 slides, respectively, per IOC. Diagnostic accuracy was achieved in 95.4%, 92.7%, and 93.9%, respectively, of IOCs (not significant). The additional cost is in the same range as the cost of urgent transport by courier. CONCLUSIONS Developing IOC with digital slides is a challenge but is necessary to optimize medical time in the current context of pathologist shortage and budget restrictions.
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Affiliation(s)
- Astrid Laurent-Bellue
- Department of Pathology, AP-HP-Université Paris Saclay, Hôpital Bicêtre, Le Kremlin-Bicêtre, France
- Université Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France
| | - Eric Poullier
- Information System Department, AP-HP, Campus Picpus, Paris, France
| | | | - Eric Adnet
- Information System Department, AP-HP-Université Paris Saclay, Hôpital Bicêtre, Le Kremlin-Bicêtre, France
| | - Marie-José Redon
- Department of Pathology, AP-HP-Université Paris Saclay, Hôpital Bicêtre, Le Kremlin-Bicêtre, France
| | - Katia Posseme
- Department of Pathology, AP-HP-Université Paris Saclay, Hôpital Bicêtre, Le Kremlin-Bicêtre, France
| | - Olivier Trassard
- Department of Pathology, AP-HP-Université Paris Saclay, Hôpital Bicêtre, Le Kremlin-Bicêtre, France
| | - Daniel Cherqui
- Université Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France
- Department of Surgery, Centre Hépato-Biliaire, AP-HP-Université Paris Saclay, Hôpital Paul Brousse, Villejuif, France
| | - Kevin Zarca
- URC eco Ile-de-France, AP-HP-Université Paris V, Paris, France
| | - Catherine Guettier
- Department of Pathology, AP-HP-Université Paris Saclay, Hôpital Bicêtre, Le Kremlin-Bicêtre, France
- Université Paris-Saclay, Faculté de Médecine, Le Kremlin-Bicêtre, France
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10
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Pallua JD, Brunner A, Zelger B, Schirmer M, Haybaeck J. The future of pathology is digital. Pathol Res Pract 2020; 216:153040. [PMID: 32825928 DOI: 10.1016/j.prp.2020.153040] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2020] [Accepted: 05/31/2020] [Indexed: 02/07/2023]
Abstract
Information, archives, and intelligent artificial systems are part of everyday life in modern medicine. They already support medical staff by mapping their workflows with shared availability of cases' referral information, as needed for example, by the pathologist, and this support will be increased in the future even more. In radiology, established standards define information models, data transmission mechanisms, and workflows. Other disciplines, such as pathology, cardiology, and radiation therapy, now define further demands in addition to these established standards. Pathology may have the highest technical demands on the systems, with very complex workflows, and the digitization of slides generating enormous amounts of data up to Gigabytes per biopsy. This requires enormous amounts of data to be generated per biopsy, up to the gigabyte range. Digital pathology allows a change from classical histopathological diagnosis with microscopes and glass slides to virtual microscopy on the computer, with multiple tools using artificial intelligence and machine learning to support pathologists in their future work.
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Affiliation(s)
- J D Pallua
- Department of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Müllerstraße 44, A-6020, Innsbruck, Austria.
| | - A Brunner
- Department of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Müllerstraße 44, A-6020, Innsbruck, Austria
| | - B Zelger
- Department of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Müllerstraße 44, A-6020, Innsbruck, Austria
| | - M Schirmer
- Department of Internal Medicine, Clinic II, Medical University of Innsbruck, Anichstrasse 35, A-6020, Innsbruck, Austria
| | - J Haybaeck
- Department of Pathology, Neuropathology and Molecular Pathology, Medical University of Innsbruck, Müllerstraße 44, A-6020, Innsbruck, Austria; Department of Pathology, Medical Faculty, Otto-von-Guericke University Magdeburg, Leipzigerstrasse 44, D-Magdeburg, Germany; Diagnostic & Research Center for Molecular BioMedicine, Institute of Pathology, Medical University of Graz, Neue Stiftingtalstrasse 6, A-8010, Graz, Austria
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Eccher A, Girolami I, Brunelli M, Novelli L, Mescoli C, Malvi D, D'Errico A, Luchini C, Furian L, Zaza G, Cardillo M, Boggi U, Pantanowitz L. Digital pathology for second opinion consultation and donor assessment during organ procurement: Review of the literature and guidance for deployment in transplant practice. Transplant Rev (Orlando) 2020; 34:100562. [PMID: 32576430 DOI: 10.1016/j.trre.2020.100562] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/18/2020] [Revised: 05/01/2020] [Accepted: 05/15/2020] [Indexed: 01/20/2023]
Abstract
Telepathology has been an important application for second opinion consultation ever since the introduction of digital pathology. However, little is known regarding teleconsultation for second opinion in transplantation. There is also limited literature on telepathology during organ donor procurement, typically utilized when general pathologists on-call request back-up to help assess donor biopsies for organ suitability or to diagnose newly discovered tumors with urgent time constraints. In this review, we searched Pubmed/Embase and websites of transplant organizations to collect and analyze published evidence on teleconsultation for donor evaluation and organ procurement. Of 2725 records retrieved using the key terms 'telepathology', 'second opinion' and 'transplantation', 26 suitable studies were included. Most records were from North America and included validation studies of telepathology being used for remote frozen section interpretation of donor biopsies with whole slide imaging. The data from these published studies supports the transition towards digital teleconsultation in transplant settings where consultations among pathologists are still handled by pathologists being called on site, via telephone and/or email.
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Affiliation(s)
- Albino Eccher
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy.
| | - Ilaria Girolami
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Matteo Brunelli
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Luca Novelli
- Institute for Histopathology and Molecular Diagnosis, Careggi University Hospital, Florence, Italy
| | - Claudia Mescoli
- Department of Medicine (DIMED), Surgical Pathology & Cytopathology Unit, University and Hospital Trust of Padua, Padua, Italy
| | - Deborah Malvi
- Pathology Unit, University of Bologna, Policlinico St. Orsola-Malpighi Hospital, Bologna, Italy
| | - Antonia D'Errico
- Pathology Unit, University of Bologna, Policlinico St. Orsola-Malpighi Hospital, Bologna, Italy
| | - Claudio Luchini
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Lucrezia Furian
- Kidney and Pancreas Transplantation Unit, Department of Surgical, Oncological and Gastroenterological Sciences, University and Hospital Trust of Padua, Padua, Italy
| | - Gianluigi Zaza
- Renal Unit, University and Hospital Trust of Verona, Verona, Italy
| | | | - Ugo Boggi
- Division of General and Transplant Surgery, University of Pisa, Pisa, Italy
| | - Liron Pantanowitz
- Department of Pathology, UPMC Shadyside Hospital, University of Pittsburgh, Pittsburgh, PA, USA
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12
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Eccher A, Girolami I. Current state of whole slide imaging use in cytopathology: Pros and pitfalls. Cytopathology 2020; 31:372-378. [PMID: 32020667 DOI: 10.1111/cyt.12806] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/05/2019] [Revised: 01/30/2020] [Accepted: 01/31/2020] [Indexed: 01/17/2023]
Abstract
Whole slide imaging (WSI) allows generation of large whole slide images and their navigation with zoom in and out like a true virtual microscope. It has become widely used in surgical pathology for many purposes, such as education and training, research activity, teleconsultation, and primary diagnosis. However, in cytopathology, the use of WSI has been lagging behind histology, mainly due to the cytological specimen's characteristics, as groups of cells of different thickness are distributed throughout the slide. To allow the same focusing capability of light microscope, slides have to be scanned at multiple focal planes, at the cost of longer scan times and larger file size. These are the main technical pitfalls of WSI for cytopathology, partly overcome by solutions like liquid-based preparations. Validation studies for the use in primary diagnosis are less numerous and more heterogeneous than in surgical pathology. WSI has been proved effective for training students and successfully used in proficiency testing, allowing the creation of digital cytology atlases. Longer scan times are also a barrier for use in rapid on-site evaluation, but WSI retains its advantages of easy sharing of images for consultation, multiple simultaneous viewing in different locations, the possibility of unlimited annotations and easy integration with medical records. Moreover, digital slides set the laboratory free from reliance on a physical glass slide, with no more concern of fading of stain or slide breakage. Costs are still a problem for small institutions, but WSI can also represent the beginning of a more efficient way of working.
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Affiliation(s)
- Albino Eccher
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Ilaria Girolami
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
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Wang S, Wang T, Yang L, Yang DM, Fujimoto J, Yi F, Luo X, Yang Y, Yao B, Lin S, Moran C, Kalhor N, Weissferdt A, Minna J, Xie Y, Wistuba II, Mao Y, Xiao G. ConvPath: A software tool for lung adenocarcinoma digital pathological image analysis aided by a convolutional neural network. EBioMedicine 2019; 50:103-110. [PMID: 31767541 PMCID: PMC6921240 DOI: 10.1016/j.ebiom.2019.10.033] [Citation(s) in RCA: 61] [Impact Index Per Article: 12.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2019] [Revised: 10/16/2019] [Accepted: 10/16/2019] [Indexed: 12/20/2022] Open
Abstract
BACKGROUND The spatial distributions of different types of cells could reveal a cancer cell's growth pattern, its relationships with the tumor microenvironment and the immune response of the body, all of which represent key "hallmarks of cancer". However, the process by which pathologists manually recognize and localize all the cells in pathology slides is extremely labor intensive and error prone. METHODS In this study, we developed an automated cell type classification pipeline, ConvPath, which includes nuclei segmentation, convolutional neural network-based tumor cell, stromal cell, and lymphocyte classification, and extraction of tumor microenvironment-related features for lung cancer pathology images. To facilitate users in leveraging this pipeline for their research, all source scripts for ConvPath software are available at https://qbrc.swmed.edu/projects/cnn/. FINDINGS The overall classification accuracy was 92.9% and 90.1% in training and independent testing datasets, respectively. By identifying cells and classifying cell types, this pipeline can convert a pathology image into a "spatial map" of tumor, stromal and lymphocyte cells. From this spatial map, we can extract features that characterize the tumor micro-environment. Based on these features, we developed an image feature-based prognostic model and validated the model in two independent cohorts. The predicted risk group serves as an independent prognostic factor, after adjusting for clinical variables that include age, gender, smoking status, and stage. INTERPRETATION The analysis pipeline developed in this study could convert the pathology image into a "spatial map" of tumor cells, stromal cells and lymphocytes. This could greatly facilitate and empower comprehensive analysis of the spatial organization of cells, as well as their roles in tumor progression and metastasis.
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Affiliation(s)
- Shidan Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Tao Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Center for the Genetics of Host Defense, University of Texas Southwestern Medical Center, Dallas, TX
| | - Lin Yang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Department of Pathology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences (CHCAMS), China
| | - Donghan M Yang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Faliu Yi
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Xin Luo
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Yikun Yang
- Department of Thoracic Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences (CHCAMS), China
| | - Bo Yao
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - ShinYi Lin
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX
| | - Cesar Moran
- Department of Pathology, Division of Pathology/Lab Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Neda Kalhor
- Department of Pathology, Division of Pathology/Lab Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - Annikka Weissferdt
- Department of Pathology, Division of Pathology/Lab Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX
| | - John Minna
- Hamon Center for Therapeutic Oncology Research, Department of Internal Medicine and Department of Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
| | - Yang Xie
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX
| | - Ignacio I Wistuba
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX
| | - Yousheng Mao
- Department of Thoracic Surgery, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences (CHCAMS), China
| | - Guanghua Xiao
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX; Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX; Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX.
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Wang S, Yang DM, Rong R, Zhan X, Fujimoto J, Liu H, Minna J, Wistuba II, Xie Y, Xiao G. Artificial Intelligence in Lung Cancer Pathology Image Analysis. Cancers (Basel) 2019; 11:E1673. [PMID: 31661863 PMCID: PMC6895901 DOI: 10.3390/cancers11111673] [Citation(s) in RCA: 110] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 10/17/2019] [Accepted: 10/21/2019] [Indexed: 12/12/2022] Open
Abstract
OBJECTIVE Accurate diagnosis and prognosis are essential in lung cancer treatment selection and planning. With the rapid advance of medical imaging technology, whole slide imaging (WSI) in pathology is becoming a routine clinical procedure. An interplay of needs and challenges exists for computer-aided diagnosis based on accurate and efficient analysis of pathology images. Recently, artificial intelligence, especially deep learning, has shown great potential in pathology image analysis tasks such as tumor region identification, prognosis prediction, tumor microenvironment characterization, and metastasis detection. MATERIALS AND METHODS In this review, we aim to provide an overview of current and potential applications for AI methods in pathology image analysis, with an emphasis on lung cancer. RESULTS We outlined the current challenges and opportunities in lung cancer pathology image analysis, discussed the recent deep learning developments that could potentially impact digital pathology in lung cancer, and summarized the existing applications of deep learning algorithms in lung cancer diagnosis and prognosis. DISCUSSION AND CONCLUSION With the advance of technology, digital pathology could have great potential impacts in lung cancer patient care. We point out some promising future directions for lung cancer pathology image analysis, including multi-task learning, transfer learning, and model interpretation.
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Affiliation(s)
- Shidan Wang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Donghan M Yang
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Ruichen Rong
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Xiaowei Zhan
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Junya Fujimoto
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Hongyu Liu
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| | - John Minna
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
- Hamon Center for Therapeutic Oncology Research, UT Southwestern Medical Center, Dallas, TX 75390, USA.
- Departments of Internal Medicine and Pharmacology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Ignacio Ivan Wistuba
- Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.
| | - Yang Xie
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
| | - Guanghua Xiao
- Quantitative Biomedical Research Center, Department of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
- Harold C. Simmons Comprehensive Cancer Center, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
- Department of Bioinformatics, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA.
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15
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French JMR, Betney DT, Abah U, Bhatt N, Internullo E, Casali G, Batchelor TJP, West DG. Digital pathology is a practical alternative to on-site intraoperative frozen section diagnosis in thoracic surgery. Histopathology 2019; 74:902-907. [PMID: 30537290 DOI: 10.1111/his.13804] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2018] [Accepted: 12/06/2018] [Indexed: 10/27/2022]
Abstract
AIMS Telepathology uses digitised image transfer to allow off-site reporting of histopathology slides. This technology could facilitate the centralisation of pathology services, which may improve their quality and cost-effectiveness. The benefits may be most apparent in frozen section reporting, in which turnaround times (TATs) are vital. We moved from on-site to off-site telepathology reporting of thoracic surgery frozen section specimens in 2016. The aim of this study was to compare TATs before and after this service change. METHODS AND RESULTS All thoracic frozen section specimens analysed 4 months prior and 4 months following the service change were included. Demographics, operation, sample type, time taken from theatre, time received by laboratory, time reported by laboratory, TAT, frozen section diagnosis, final histopathological diagnosis and final TNM staging were recorded. The results were analysed with spss statistical software version 24. In total, there were 65 samples from 59 patients; 34 before the change and 31 after the change. Specimens included 51 lung, six lymph node, three bronchial, three chest wall and two pleural biopsies. Before the change, the median TAT was 25 min [interquartile range (IQR) 20-33 min]. No diagnoses were deferred. No diagnoses were changed on subsequent paraffin analysis. After the change, with the use of digital pathology, the median TAT was 27.5 min (IQR 21.75-38.5 min). This difference was not significant (P = 0.581). Diagnosis was deferred in one case (3.23%). There was one (3.23%) mid-case technical failure resulting in the sample having to be transported by courier, resulting in a TAT of 106 min. No diagnoses were changed on subsequent paraffin analysis. CONCLUSIONS There was no significant difference in reporting times between digital technology and an on-site service, although one sample was affected by a technical failure requiring physical transportation of the specimen for analysis. Our study was underpowered to detect differences in accuracy.
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Affiliation(s)
- Jonathan M R French
- Thoracic Surgery, Bristol Royal Infirmary, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Daniel T Betney
- Thoracic Surgery, Bristol Royal Infirmary, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Udo Abah
- Thoracic Surgery, Bristol Royal Infirmary, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Nidhi Bhatt
- Pathology, Southmead Hospital, North Bristol NHS Trust, Bristol, UK
| | - Eveline Internullo
- Thoracic Surgery, Bristol Royal Infirmary, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Gianluca Casali
- Thoracic Surgery, Bristol Royal Infirmary, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Timothy J P Batchelor
- Thoracic Surgery, Bristol Royal Infirmary, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
| | - Douglas G West
- Thoracic Surgery, Bristol Royal Infirmary, University Hospitals Bristol NHS Foundation Trust, Bristol, UK
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16
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Ryu DJ, Jeon YS, Kwon HY, Choi SJ, Roh TH, Kim MK. Actinomycotic osteomyelitis of a long bone in an immunocompetent adult: a case report and literature review. BMC Musculoskelet Disord 2019; 20:185. [PMID: 31043170 PMCID: PMC6495508 DOI: 10.1186/s12891-019-2576-2] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/12/2018] [Accepted: 04/15/2019] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Actinomycosis is a rare, chronic granulomatous disease caused by Gram-positive anaerobic bacteria that colonize the oral cavity. Cervicofacial actinomycosis is the most frequent clinical presentation of actinomycosis, but hematogenous osteomyelitis at distant sites can occur in rare instance in immunocompromised or pediatric patients, only a few cases have been reported in healthy patients. Here we described a new case of distal femur osteomyelitis caused by Actinomyces in an adult patient who was immunocompetent and had no predisposing factors. CASE PRESENTATION A woman aged 52 years with no history of trauma presented with severe pain, swelling, and increased local heat in the proximal area of the right knee 3 weeks after she first noticed discomfort. Magnetic resonance imaging showed persistent osteomyelitis of the distal metaphysis and diaphysis of the femur with a multifocal intraosseous abscess pocket. An incision and drainage of the abscess were conducted. The tissue culture, fungus culture, acid fast bacillus (AFB) culture, AFB smear, and tuberculosis polymerase chain reaction test results were negative. A pathologic examination confirmed the presence of actinomycosis. The patient was successfully treated with intravenous penicillin G for 8 weeks followed by oral amoxicillin-clavulanate for 6 weeks with repeated surgical debridement and drainage. After a 5-year follow up, the patient had no signs of recurring infection or complications and she had full range of movement in the affected knee. CONCLUSIONS Although rare, actinomycotic osteomyelitis can occur in healthy people. Furthermore, actinomycotic osteomyelitis is easily misdiagnosed as tuberculosis in areas with a high prevalence of tuberculosis. To detect and identify the bacteria accurately, pathologic examination should be performed as well as culture tests, because the probability for culture confirmation of actinomycosis is quite low. The initial treatment is vital to a successful outcome without ostectomy or amputation.
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Affiliation(s)
- Dong Jin Ryu
- Department of Orthopedic Surgery, College of Medicine, Inha University Hospital, 7-206, 3rd Street Sinheung-Dong, Jung-Gu, Incheon, 400-103, South Korea
| | - Yoon Sang Jeon
- Department of Orthopedic Surgery, College of Medicine, Inha University Hospital, 7-206, 3rd Street Sinheung-Dong, Jung-Gu, Incheon, 400-103, South Korea
| | - Hea Yoon Kwon
- Department of Infectious Disease, College of Medicine, Inha University Hospital, Incheon, South Korea
| | - Suk Jin Choi
- Department of Pathology, College of Medicine, Inha University Hospital, Incheon, South Korea
| | - Tae Hoon Roh
- Department of Orthopedic Surgery, College of Medicine, Inha University Hospital, 7-206, 3rd Street Sinheung-Dong, Jung-Gu, Incheon, 400-103, South Korea
| | - Myung Ku Kim
- Department of Orthopedic Surgery, College of Medicine, Inha University Hospital, 7-206, 3rd Street Sinheung-Dong, Jung-Gu, Incheon, 400-103, South Korea.
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17
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Bonsembiante F, Bonfanti U, Cian F, Cavicchioli L, Zattoni B, Gelain ME. Diagnostic Validation of a Whole-Slide Imaging Scanner in Cytological Samples: Diagnostic Accuracy and Comparison With Light Microscopy. Vet Pathol 2019; 56:429-434. [DOI: 10.1177/0300985818825128] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Digital slides created by whole-slide imaging scanners can be evaluated by pathologists located in remote sites, but the process must be validated before this technology can be applied to routine cytological diagnosis. The aim of this study was to validate a whole-slide imaging scanner for cytological samples. Sixty cytological samples, whose diagnoses were confirmed by gold-standard examinations (histology or flow cytometry), were digitalized using a whole-slide imaging scanner. Digital slides and glass slides were examined by 3 observers with different levels of cytopathological expertise. No significant differences were noted between digital and glass slides in regard to the number of cases correctly diagnosed, or the sensitivity, specificity, or diagnostic accuracy, irrespective of the observers’ expertise. The agreements between the digital slides and the gold-standard examinations were moderate to substantial, while the agreements between the glass slides and the gold-standard examinations were substantial for all 3 observers. The intraobserver agreements between digital and glass slides were substantial to almost perfect. The interobserver agreements when evaluating digital slides were moderate between observers 1 and 2 and between observers 1 and 3 while they were substantial between observers 2 and 3. In conclusion, our study demonstrated that the digital slides produced by the whole-slide imaging scanner are adequate to diagnose cytological samples and are similar among clinical pathologists with differing levels of expertise.
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Affiliation(s)
- Federico Bonsembiante
- Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro (PD), Italy
| | - Ugo Bonfanti
- La Vallonèa Veterinary Diagnostic Laboratory, Passirana di Rho (MI), Italy
| | | | - Laura Cavicchioli
- Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro (PD), Italy
| | - Beatrice Zattoni
- Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro (PD), Italy
| | - Maria Elena Gelain
- Department of Comparative Biomedicine and Food Science (BCA), University of Padova, Legnaro (PD), Italy
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Yao K, Shen R, Parwani A, Li Z. Comprehensive Study of Telecytology Using Robotic Digital Microscope and Single Z-Stack Digital Scan for Fine-Needle Aspiration-Rapid On-Site Evaluation. J Pathol Inform 2018; 9:49. [PMID: 30662795 PMCID: PMC6319035 DOI: 10.4103/jpi.jpi_75_18] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2018] [Accepted: 11/14/2018] [Indexed: 11/21/2022] Open
Abstract
Background: The current technology for remote assessment of fine-needle aspiration-rapid on-site evaluation (FNA-ROSE) is limited. Recent advances may provide solutions. This study compared the performance of VisionTek digital microscope (VDM) (Sakura, Japan) and Hamamatsu NanoZoomer C9600-12 single Z-stack digital scan (SZDS) to conventional light microscopy (CLM) for FNA-ROSE. Methods: We assembled sixty FNA cases from the thyroid (n = 16), lymph node (n = 16), pancreas (n = 9), head and neck (n = 9), salivary gland (n = 5), lung (n = 4), and rectum (n = 1) based on a single institution's routine workflow. One Diff-Quik-stained slide was selected for each case. Two board-certified cytopathologists independently evaluated the cases using VDM, SZDS, and CLM. A “washout” period of at least 14 days was placed between the reviews. The results were categorized into satisfactory versus unsatisfactory for adequacy assessment (AA) and unsatisfactory, benign, atypical, suspicious, and malignant for preliminary diagnosis (PD). Results: For AA, the Cohen's kappa statistics (CKS) scores of intermodality agreement (IMA) were 0.74–0.94 (CLM vs. VDM) and 0.86–1 (CLM vs. SZDS). The discordant rates of IMA were 3.3% (4/120) for VDM versus CLM, and 1.7% (2/120) for SZDS versus CLM. For PD, the CKS scores of IMA ranged 0.7–0.93. The overall discordant rates of IMA were 15% (18/120) for CLM versus VDM and 10.8% (13/120) for CLM versus SZDS. The discordant rates of IMA with 2 or higher degrees were 5.8% (7/120) for CLM versus VDM and 1.7% (2/120) for CLM versus SZDS. The average time spent per slide was 270 s for VDM, significantly longer than that for CLM (113 s) or for SZDS (122 s). Conclusions: Our data demonstrate that both VDM and SZDS are suitable to provide AA and reasonable PD evaluation. VDM, however, has a significantly longer turnaround time and worse diagnostic performance. The study demonstrates both the potentials and challenges of using VDM and SZDS for FNA-ROSE.
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Affiliation(s)
- Keluo Yao
- Department of Pathology, Michigan Medicine, University of Michigan, Ann Arbor, Michigan, USA
| | - Rulong Shen
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Anil Parwani
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
| | - Zaibo Li
- Department of Pathology, The Ohio State University, Columbus, Ohio, USA
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Chandraratnam E, Santos LD, Chou S, Dai J, Luo J, Liza S, Chin RY. Parathyroid Frozen Section Interpretation via Desktop Telepathology Systems: A Validation Study. J Pathol Inform 2018; 9:41. [PMID: 30607308 PMCID: PMC6289003 DOI: 10.4103/jpi.jpi_57_18] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 10/19/2018] [Indexed: 12/28/2022] Open
Abstract
Background Telepathology can potentially be utilized as an alternative to having on-site pathology services for rural and regional hospitals. The goal of the study was to validate two small-footprint desktop telepathology systems for remote parathyroid frozen sections. Subjects and Methods Three pathologists retrospectively diagnosed 76 parathyroidectomy frozen sections of 52 patients from three pathology services in Australia using the "live-view mode" of MikroScan D2 and Aperio LV1 and in-house direct microscopy. The final paraffin section diagnosis served as the "gold standard" for accuracy evaluation. Concordance rates of the telepathology systems with direct microscopy, inter-pathologist and intra-pathologist agreement, and the time taken to report each slide were analyzed. Results Both telepathology systems showed high diagnostic accuracy (>99%) and high concordance (>99%) with direct microscopy. High inter-pathologist agreement for telepathology systems was demonstrated by overall kappa values of 0.92 for Aperio LV1 and 0.85 for MikroScan D2. High kappa values (from 0.85 to 1) for intra-pathologist agreement within the three systems were also observed. The time taken per slide by Aperio LV1 and MicroScan D2 within three pathologists was about 3.0 times (P < 0.001, 95% confidence interval [CI]: 2.8-3.2) and 7.7 times (P < 0.001, 95% CI: 7.1-8.3) as long as direct microscopy, respectively, while MikroScan D2 took about 2.6 times as long as Aperio LV1 (P < 0.001, 95% CI: 2.4-2.7). All pathologists evaluated Aperio LV1 as being more user-friendly. Conclusions Telepathology diagnosis of parathyroidectomy frozen sections through small-footprint desktop systems is accurate, reliable, and comparable with in-house direct microscopy. Telepathology systems take longer than direct microscopy; however, the time taken is within clinically acceptable limits. Aperio LV1 takes shorter time than MikroScan D2 and is more user-friendly.
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Affiliation(s)
- Edward Chandraratnam
- Department of Anatomical Pathology, Austpath Laboratories, Northmead, New South Wales, Australia
| | - Leonardo D Santos
- Department of Anatomical Pathology, Sydney South West Pathology Service, Liverpool Hospital, Liverpool, New South Wales, Australia
| | - Shaun Chou
- Department of Tissue Pathology and Diagnostic Oncology, Institute for Clinical Pathology and Medical Research, Westmead Hospital, Westmead, New South Wales, Australia
| | - Jun Dai
- Department of Otolaryngology Head and Neck Surgery, Nepean Hospital, Kingswood, New South Wales, Australia
| | - Juan Luo
- Department of Research and Development, Austpath Laboratories, Northmead, New South Wales, Australia
| | - Syeda Liza
- Department of Anatomical Pathology, Austpath Laboratories, Northmead, New South Wales, Australia
| | - Ronald Y Chin
- Department of Otolaryngology Head and Neck Surgery, Nepean Hospital, Kingswood, New South Wales, Australia.,Discipline of Surgery, Nepean Clinical School, The University of Sydney, Sydney, New South Wales, Australia
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Dietz RL, Hartman DJ, Zheng L, Wiley C, Pantanowitz L. Review of the use of telepathology for intraoperative consultation. Expert Rev Med Devices 2018; 15:883-890. [PMID: 30451027 DOI: 10.1080/17434440.2018.1549987] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
INTRODUCTION The use of telepathology in intraoperative consultations has been increasing due to limited time and availability of pathologists, and the demand for increased access to pathology subspecialists in difficult cases. The five main categories of telepathology are (1) static, (2) dynamic, (3) robotic, (4) whole slide imaging (WSI), and (5) hybrid methods. The majority of these methods have been found to offer diagnostic accuracy rates similar to conventional microscopy, at the cost of slightly prolonged time to evaluate slides. AREAS COVERED Herein we discuss the salient features of each telepathology method and provide examples of their performance reported in the literature. EXPERT COMMENTARY Telepathology systems from any of the aforementioned categories can be employed to achieve timely and accurate diagnoses as long as they meet clinical needs and are validated for the intended use case. The decision to purchase a particular system depends on the clinical application, specific needs and budget of the laboratory, as well as the personal preference of the telepathologists involved. The adoption of telepathology practice is likely to expand in order to meet the increasing demand for subspecialist consultation and as technology advances to improve diagnostic accuracy and workflow.
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Affiliation(s)
- Robin L Dietz
- a Department of Pathology , UPMC, UPMC Cancer Pavillion Suite 201 , Pittsburgh , PA , USA
| | - Douglas J Hartman
- b Department of Pathology, Division of Pathology Informatics , UPMC Presbyterian Hospital , Pittsburgh , PA , USA
| | - Liu Zheng
- c Department of Pathology and Immunology , Washington University School of Medicine , St. Louis , MO , USA
| | - Clayton Wiley
- d Division of Neuropathology , UPMC Presbyterian Hospital , Pittsburgh , PA , USA
| | - Liron Pantanowitz
- a Department of Pathology , UPMC, UPMC Cancer Pavillion Suite 201 , Pittsburgh , PA , USA
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Cima L, Brunelli M, Parwani A, Girolami I, Ciangherotti A, Riva G, Novelli L, Vanzo F, Sorio A, Cirielli V, Barbareschi M, D'Errico A, Scarpa A, Bovo C, Fraggetta F, Pantanowitz L, Eccher A. Validation of Remote Digital Frozen Sections for Cancer and Transplant Intraoperative Services. J Pathol Inform 2018; 9:34. [PMID: 30450263 PMCID: PMC6187937 DOI: 10.4103/jpi.jpi_52_18] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2018] [Accepted: 08/31/2018] [Indexed: 12/12/2022] Open
Abstract
Introduction Whole-slide imaging (WSI) technology can be used for primary diagnosis and consultation, including intraoperative (IO) frozen section (FS). We aimed to implement and validate a digital system for the FS evaluation of cancer and transplant specimens following recommendations of the College of American Pathologists. Materials and Methods FS cases were routinely scanned at ×20 employing the "Navigo" scanner system. IO diagnoses using glass versus digital slides after a 3-week washout period were recorded. Intraobserver concordance was evaluated using accuracy rate and kappa statistics. Feasibility of WSI diagnoses was assessed by the way of sensitivity, specificity, as well as positive and negative predictive values. Participants also completed a survey denoting scan time, time spent viewing cases, preference for glass versus WSI, image quality, interface experience, and any problems encountered. Results Of the 125 cases submitted, 121 (436 slides) were successfully scanned including 93 oncological and 28 donor-organ FS biopsies. Four cases were excluded because of failed digitalization due to scanning problems or sample preparation artifacts. Full agreement between glass and digital-slide diagnosis was obtained in 90 of 93 (97%, κ = 0.96) oncology and in 24 of 28 (86%, κ = 0.91) transplant cases. There were two major and one minor discrepancy for cancer cases (sensitivity 100%, specificity 96%) and two major and two minor disagreements for transplant cases (sensitivity 96%, specificity 75%). Average scan and viewing/reporting time were 12 and 3 min for cancer cases, compared to 18 and 5 min for transplant cases. A high diagnostic comfort level among pathologists emerged from the survey. Conclusions These data demonstrate that the "Navigo" digital WSI system can reliably support an IO FS service involving complicated cancer and transplant cases.
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Affiliation(s)
- Luca Cima
- Department of Diagnostics and Public Health, Anatomic Pathology Unit, University and Hospital Trust of Verona, Verona, Italy
| | - Matteo Brunelli
- Department of Diagnostics and Public Health, Anatomic Pathology Unit, University and Hospital Trust of Verona, Verona, Italy
| | - Anil Parwani
- Department of Pathology, Ohio State University, Columbus, OH, USA
| | - Ilaria Girolami
- Department of Diagnostics and Public Health, Anatomic Pathology Unit, University and Hospital Trust of Verona, Verona, Italy
| | - Andrea Ciangherotti
- Department of Surgical Science, University and Hospital Trust of Verona, Verona, Italy
| | - Giulio Riva
- Department of Diagnostics and Public Health, Anatomic Pathology Unit, University and Hospital Trust of Verona, Verona, Italy
| | - Luca Novelli
- Department of Pathology, Anatomic Pathology Unit, Careggi University Hospital, Firenze, Italy
| | - Francesca Vanzo
- Veneto's Research Center for eHealth Innovation, Veneto, Italy
| | - Alessandro Sorio
- Department of Diagnostics and Public Health, Anatomic Pathology Unit, University and Hospital Trust of Verona, Verona, Italy
| | - Vito Cirielli
- Department of Diagnostics and Public Health, Forensic Pathology Unit, University and Hospital Trust of Verona, Verona, Italy
| | - Mattia Barbareschi
- Department of Laboratory Medicine, Anatomic Pathology Unit, S. Chiara Hospital, Trento, Italy
| | - Antonietta D'Errico
- Department of Specialised, Experimental and Diagnostic Medicine, Anatomic Pathology Unit, S. Orsola-Malpighi University Hospital of Bologna, Bologna, Italy
| | - Aldo Scarpa
- Department of Diagnostics and Public Health, Anatomic Pathology Unit, University and Hospital Trust of Verona, Verona, Italy
| | - Chiara Bovo
- Medical Direction, University and Hospital Trust of Verona, Verona, Italy
| | - Filippo Fraggetta
- Department of Pathology, Anatomic Pathology Unit, Cannizzaro Hospital, Catania, Italy
| | - Liron Pantanowitz
- Department of Pathology, University of Pittsburgh Medical Center, PA, Pennsylvania, USA
| | - Albino Eccher
- Department of Diagnostics and Public Health, Anatomic Pathology Unit, University and Hospital Trust of Verona, Verona, Italy
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Onega T, Barnhill RL, Piepkorn MW, Longton GM, Elder DE, Weinstock MA, Knezevich SR, Reisch LM, Carney PA, Nelson HD, Radick AC, Elmore JG. Accuracy of Digital Pathologic Analysis vs Traditional Microscopy in the Interpretation of Melanocytic Lesions. JAMA Dermatol 2018; 154:1159-1166. [PMID: 30140929 PMCID: PMC6233746 DOI: 10.1001/jamadermatol.2018.2388] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2018] [Accepted: 05/29/2018] [Indexed: 11/14/2022]
Abstract
Importance Use of digital whole-slide imaging (WSI) for dermatopathology in general has been noted to be similar to traditional microscopy (TM); however, concern has been noted that WSI is inferior for interpretation of melanocytic lesions. Since approximately 1 of every 4 skin biopsies is of a melanocytic lesion, the use of WSI requires verification before use in clinical practice. Objective To compare pathologists' accuracy and reproducibility in diagnosing melanocytic lesions using Melanocytic Pathology Assessment Tool and Hierarchy for Diagnosis (MPATH-Dx) categories when analyzing by TM vs WSI. Design, Setting, and Participants A total of 87 pathologists in community-based and academic settings from 10 US states were randomized with stratification based on clinical experience to interpret in TM format 180 skin biopsy cases of melanocytic lesions, including 90 invasive melanoma, divided into 5 sets of 36 cases (phase 1). The pathologists were then randomized via stratified permuted block randomization with block size 2 to interpret cases in either TM (n = 46) or WSI format (n = 41), with each pathologist interpreting the same 36 cases on 2 separate occasions (phase 2). Diagnoses were categorized as MPATH-Dx categories I through V, with I indicating the least severe and V the most severe. Main Outcomes and Measures Accuracy with respect to a consensus reference diagnosis and the reproducibility of repeated interpretations of the same cases. Results Of the 87 pathologists in the study, 46% (40) were women and the mean (SD) age was 50.7 (10.2) years. Except for class III melanocytic lesions, the diagnostic categories showed no significant differences in diagnostic accuracy between TM and WSI interpretation. Discordance was lower among class III lesions for the TM interpretation arm (51%; 95% CI, 46%-57%) than for the WSI arm (61%; 95% CI, 53%-69%) (P = .05). This difference is likely to have clinical significance, because 6% of TM vs 11% of WSI class III lesions were interpreted as invasive melanoma. Reproducibility was similar between the traditional and digital formats overall (66.4%; 95% CI, 63.3%-69.3%; and 62.7%; 95% CI, 59.5%-65.7%, respectively), and for all classes, although class III showed a nonsignificant lower intraobserver agreement for digital. Significantly more mitotic figures were detected with TM compared with WSI: mean (SD) TM, 6.72 (2.89); WSI, 5.84 (2.56); P = .002. Conclusions and Relevance Interpretive accuracy for melanocytic lesions was similar for WSI and TM slides except for class III lesions. We found no clinically meaningful differences in reproducibility for any of the diagnostic classes.
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Affiliation(s)
- Tracy Onega
- Departments of Medicine and Community and Family Medicine, The Dartmouth Institute for Health Policy and Clinical Practice, Hanover, New Hampshire
- Geisel School of Medicine at Dartmouth, Hanover, New Hampshire
- Norris Cotton Cancer Center, Lebanon, New Hampshire
| | - Raymond L. Barnhill
- Department of Pathology, Institut Curie, Paris Sciences and Lettres Research University, and Faculty of Medicine University of Paris Descartes, Paris, France
| | - Michael W. Piepkorn
- Division of Dermatology, Department of Medicine, University of Washington School of Medicine, Seattle
- Dermatopathology Northwest, Bellevue, Washington
| | - Gary M. Longton
- Program in Biostatistics and Biomathematics, Fred Hutchinson Cancer Research Center, Seattle, Washington
| | - David E. Elder
- Department of Pathology and Laboratory Medicine, Hospital of the University of Pennsylvania, Philadelphia
| | - Martin A. Weinstock
- Center for Dermatoepidemiology, Providence VA Medical Center, Providence, Rhode Island
- Departments of Dermatology and Epidemiology, Brown University, Providence, Rhode Island
| | | | - Lisa M. Reisch
- Department of Medicine, University of Washington School of Medicine, Seattle
| | - Patricia A. Carney
- Department of Family Medicine, School of Medicine, Oregon Health & Science University, Portland
| | - Heidi D. Nelson
- Department of Medical Informatics and Clinical Epidemiology, School of Medicine, Oregon Health & Science University, Portland
- Department of Medicine, School of Medicine, Oregon Health & Science University, Portland
- Providence Cancer Center, Providence Health and Services, Portland, Oregon
| | - Andrea C. Radick
- Department of Medicine, University of Washington School of Medicine, Seattle
| | - Joann G. Elmore
- Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, California
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Huang YN, Peng XC, Ma S, Yu H, Jin YB, Zheng J, Fu GH. Development of Whole Slide Imaging on Smartphones and Evaluation With ThinPrep Cytology Test Samples: Follow-Up Study. JMIR Mhealth Uhealth 2018; 6:e82. [PMID: 29618454 PMCID: PMC5906711 DOI: 10.2196/mhealth.9518] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/01/2018] [Accepted: 02/01/2018] [Indexed: 12/24/2022] Open
Abstract
Background The smartphone-based whole slide imaging (WSI) system represents a low-cost and effective alternative to automatic scanners for telepathology. In a previous study, the development of one such solution, named scalable whole slide imaging (sWSI), was presented and analyzed. A clinical evaluation of its iOS version with 100 frozen section samples verified the diagnosis-readiness of the produced virtual slides. Objective The first aim of this study was to delve into the quantifying issues encountered in the development of an Android version. It should also provide insights into future high-resolution real-time feedback medical imaging apps on Android and invoke the awareness of smartphone manufacturers for collaboration. The second aim of this study was to further verify the clinical value of sWSI with cytology samples. This type is different from the frozen section samples in that they require finer detail on the cellular level. Methods During sWSI development on Android, it was discovered that many models do not support uncompressed camera pixel data with sufficient resolution and full field of view. The proportion of models supporting the optimal format was estimated in a test on 200 mainstream Android models. Other factors, including slower processing speed and camera preview freezing, also led to inferior performance of sWSI on Android compared with the iOS version. The processing speed was mostly determined by the central processing unit frequency in theory, and the relationship was investigated in the 200-model simulation experiment with physical devices. The camera preview freezing was caused by the lag between triggering photo capture and resuming preview. In the clinical evaluation, 100 ThinPrep cytology test samples covering 6 diseases were scanned with sWSI and compared against the ground truth of optical microscopy. Results Among the tested Android models, only 3.0% (6/200) provided an optimal data format, meeting all criteria of quality and efficiency. The image-processing speed demonstrated a positive relationship with the central processing unit frequency but to a smaller degree than expected and was highly model-dependent. The virtual slides produced by sWSI on Android and iOS of ThinPrep cytology test samples achieved similar high quality. Using optical microscopy as the ground truth, pathologists made a correct diagnosis on 87.5% (175/200) of the cases with sWSI virtual slides. Depending on the sWSI version and the pathologist in charge, the kappa value varied between .70 and .82. All participating pathologists considered the quality of the sWSI virtual slides in the experiment to be adequate for routine usage. Conclusions Limited by hardware and operating system support, the performance of sWSI on mainstream Android smartphones did not fully match the iOS version. However, in practice, this difference was not significant, and both were adequate for digitizing most of the sample types for telepathology consultation.
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Affiliation(s)
- Yu-Ning Huang
- Department of Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Faculty of Basic Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xing-Chun Peng
- Department of Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Faculty of Basic Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuoxin Ma
- TerryDr Info Technology Co, Ltd, Nanjing, China
| | - Hong Yu
- Department of Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu-Biao Jin
- Department of Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jun Zheng
- Department of Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guo-Hui Fu
- Department of Pathology Center, Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Faculty of Basic Medicine, Shanghai Jiao Tong University School of Medicine, Shanghai, China
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Villa I, Mathieu MC, Bosq J, Auperin A, Pomerol JF, Lacroix-Triki M, Scoazec JY, Dartigues P. Daily Biopsy Diagnosis in Surgical Pathology: Concordance Between Light Microscopy and Whole-Slide Imaging in Real-Life Conditions. Am J Clin Pathol 2018; 149:344-351. [PMID: 29452345 DOI: 10.1093/ajcp/aqx161] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023] Open
Abstract
OBJECTIVES The current challenge for the various digital whole-slide imaging (WSI) systems is to be definitively validated for diagnostic purposes. We designed a concordance study between glass slide and digital slide diagnosis in real-life conditions, coupled with an ergonomic study. METHODS Three senior pathologists evaluated, first in glass slides and then in digital slides, 119 biopsy cases, including 749 slides, with 332 H&E saffron stains and 417 additional techniques, mainly immunohistochemistry. RESULTS All digital slides, including specially stained slides, were interpretable. Concordance between glass slides and digital slides was observed in 87.4% of cases. Minor discordances were observed in 12 (10.1%) cases and major discordances, with therapeutic impact, in three (2.5%), including one related to WSI. The satisfaction of participants was high and increased with time. CONCLUSIONS Our study confirms the feasibility and accuracy of WSI diagnosis, even for cases having multiple samples and requiring special staining techniques, such as immunohistochemistry and in situ hybridization.
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Affiliation(s)
- Irène Villa
- Département de Biologie et Pathologie Médicales, Service de Pathologie Morphologique, Villejuif, France
| | - Marie-Christine Mathieu
- Département de Biologie et Pathologie Médicales, Service de Pathologie Morphologique, Villejuif, France
| | - Jacques Bosq
- Département de Biologie et Pathologie Médicales, Service de Pathologie Morphologique, Villejuif, France
| | - Anne Auperin
- Service de Biostatistique et d’Epidémiologie, Gustave Roussy Cancer Campus, Villejuif, France
| | | | - Magali Lacroix-Triki
- Département de Biologie et Pathologie Médicales, Service de Pathologie Morphologique, Villejuif, France
| | - Jean-Yves Scoazec
- Département de Biologie et Pathologie Médicales, Service de Pathologie Morphologique, Villejuif, France
- Faculté de Médecine de Bicêtre, Université Paris Saclay, Université Paris Sud XI, Le Kremlin-Bicêtre, France
| | - Peggy Dartigues
- Département de Biologie et Pathologie Médicales, Service de Pathologie Morphologique, Villejuif, France
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Ghosh A, Brown GT, Fontelo P. Telepathology at the Armed Forces Institute of Pathology: A Retrospective Review of Consultations From 1996 to 1997. Arch Pathol Lab Med 2017; 142:248-252. [DOI: 10.5858/arpa.2017-0055-oa] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
Context.—
Telepathology is the practice of pathology at a distance, transmitting images using telecommunication methods for second opinion and/or diagnostic assistance, or for educational purposes. It may be the only means of consultation for some pathologists.
Objective.—
To retrospectively review and evaluate a subset of telepathology consultations from June 1996 to March 1997, and to determine the concordance between the telepathology diagnosis of the contributor and pathologists at the Armed Forces Institute of Pathology (AFIP), Washington, District of Columbia, as well as the concordance between the telepathology diagnosis and the glass slide diagnosis, when available.
Design.—
Photocopies of de-identified telepathology reports from the AFIP during a 15-month period between June 1996 and March 1997 were reviewed. Contributor versus telepathology diagnosis was graded as 1 (complete agreement), 2 (partial agreement), 3 (disagreement; usually a diagnosis of benign versus malignant), and deferred. Data were analyzed using descriptive statistical methods.
Results.—
Of the 262 cases, 194 (74%) were in complete agreement with the contributor's diagnosis, 34 of 262 (13%) were in minor disagreement, and 21 of 262 (8%) were in major disagreement. Diagnoses were deferred in 5% (13 of 262) of cases.
Conclusions.—
Using commercial off-the-shelf technology and despite telecommunication challenges during that time, the AFIP demonstrated that telepathology could be conducted reliably.
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Abstract
The development of whole-slide imaging has paved the way for digitizing of glass slides that are the basis for surgical pathology. This transformative technology has changed the landscape in research applications and education but despite its tremendous potential, its adoption for clinical use has been slow. We review the various niche applications that initiated awareness of this technology, provide examples of clinical use cases, and discuss the requirements and challenges for full adoption in clinical diagnosis. The opportunities for applications of image analysis tools in a workflow will be changed by integration of whole-slide imaging into routine diagnosis.
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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; 141:944-959. [PMID: 28440660 DOI: 10.5858/arpa.2016-0074-oa] [Citation(s) in RCA: 72] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Abstract
CONTEXT - There is growing interest in the use of digital pathology, especially whole slide imaging, for diagnostic purposes. Many issues need to be considered when incorporating this technology into a clinical laboratory. The College of American Pathologists (CAP) established a Digital Pathology Committee to support the development of CAP programs related to digital pathology. One of its many initiatives was a panel discussion entitled "Implementing Whole-Slide Imaging for Clinical Use: What to Do and What to Avoid," given for 3 years at the CAP annual meetings starting in 2014. OBJECTIVES - To review major issues to consider when implementing whole slide imaging for clinical purposes as covered during the panel discussion. DESIGN - The views expressed and recommendations given are based primarily on the personal experience of the authors as early adopters of this technology. It is not intended to be an exhaustive review of digital pathology. RESULTS - Implementation is best approached in phases. Early efforts are directed toward identifying initial clinical applications and assembling an implementation team. Scanner selection should be based on intended use and budget. Recognizing pathologist concerns over the use of digital pathology for diagnostic purposes, ensuring adequate training, and performing appropriate validation studies will enhance adoption. Once implemented, the transition period from glass slide to image-based diagnostics will be associated with challenges, especially those related to a hybrid glass slide-digital slide workflow. CONCLUSIONS - With appropriate preparation, planning, and stepwise implementation, whole slide imaging can be used safely and reliably for frozen sections, consultation, quality assurance, and primary diagnosis.
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Affiliation(s)
| | | | | | - Liron Pantanowitz
- From the Department of Pathology, University Health Network, Toronto, Ontario, Canada (Dr Evans); the Department of Pathology, University of Utah and ARUP Laboratories, Reference Laboratory, Salt Lake City (Dr Salama); the Department of Pathology, Cleveland Clinic Foundation, Cleveland, Ohio (Dr Henricks); and the Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania (Dr Pantanowitz)
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Cheng CL, Tan PH. Digital pathology in the diagnostic setting: beyond technology into best practice and service management. J Clin Pathol 2017; 70:454-457. [PMID: 28062660 DOI: 10.1136/jclinpath-2016-204272] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Accepted: 12/10/2016] [Indexed: 11/04/2022]
Abstract
Digital pathology (DP) and whole-slide imaging (WSI) technology have matured substantially over the last few years and there is growing evidence from validation studies that WSI is comparable to glass slides for histopathology diagnosis, although with some limitations, which can be appropriately minimised. Whether the controlled environment of validation studies translates to the same level of robustness when WSI is used in the actual diagnostic setting depends on the technical quality of WSI acquisition and on factors that influence the pre-image acquisition variables including the quality of glass slide inputs, and postimage acquisition variables such as access and use of WSI. The concept of 'DP service management' is introduced to fulfil the holistic needs of a laboratory intending to use the DP solution incorporating WSI for diagnostic purposes. The DP service management team should be an integral part of the diagnostic laboratory as it plays a central role undertaking responsibility to address an extensive range of issues from technical and training to governance and accreditation, hence ensuring a viable and sustainable diagnostic DP integration and usage. The pathologist as a specialist in the field and key decision maker of histopathology diagnoses has the duty and responsibility to acquaint and familiarise with DP and WSI when using the technology, especially on their indications and limitations, so as to take full advantage of these tools to enhance diagnostic quality.
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Affiliation(s)
- Chee Leong Cheng
- Division of Pathology, Department of Anatomical Pathology, Singapore General Hospital, Singapore, Republic of Singapore
| | - Puay Hoon Tan
- Division of Pathology, Singapore General Hospital, Singapore, Republic of Singapore
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Griffin J, Treanor D. Digital pathology in clinical use: where are we now and what is holding us back? Histopathology 2016; 70:134-145. [DOI: 10.1111/his.12993] [Citation(s) in RCA: 149] [Impact Index Per Article: 18.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- Jon Griffin
- Sheffield NHS Foundation Trust; Sheffield UK
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Wack K, Drogowski L, Treloar M, Evans A, Ho J, Parwani A, Montalto MC. A multisite validation of whole slide imaging for primary diagnosis using standardized data collection and analysis. J Pathol Inform 2016; 7:49. [PMID: 27994941 PMCID: PMC5139454 DOI: 10.4103/2153-3539.194841] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2016] [Accepted: 10/28/2016] [Indexed: 11/16/2022] Open
Abstract
Context: Text-based reporting and manual arbitration for whole slide imaging (WSI) validation studies are labor intensive and do not allow for consistent, scalable, and repeatable data collection or analysis. Objective: The objective of this study was to establish a method of data capture and analysis using standardized codified checklists and predetermined synoptic discordance tables and to use these methods in a pilot multisite validation study. Methods and Study Design: Fifteen case report form checklists were generated from the College of American Pathology cancer protocols. Prior to data collection, all hypothetical pairwise comparisons were generated, and a level of harm was determined for each possible discordance. Four sites with four pathologists each generated 264 independent reads of 33 cases. Preestablished discordance tables were applied to determine site by site and pooled accuracy, intrareader/intramodality, and interreader intramodality error rates. Results: Over 10,000 hypothetical pairwise comparisons were evaluated and assigned harm in discordance tables. The average difference in error rates between WSI and glass, as compared to ground truth, was 0.75% with a lower bound of 3.23% (95% confidence interval). Major discordances occurred on challenging cases, regardless of modality. The average inter-reader agreement across sites for glass was 76.5% (weighted kappa of 0.68) and for digital it was 79.1% (weighted kappa of 0.72). Conclusion: These results demonstrate the feasibility and utility of employing standardized synoptic checklists and predetermined discordance tables to gather consistent, comprehensive diagnostic data for WSI validation studies. This method of data capture and analysis can be applied in large-scale multisite WSI validations.
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Affiliation(s)
- Katy Wack
- Western Oncolytics, LLC, Pittsburgh, PA 15238, USA; Work peformed while at Omnyx, LLC. Pittsburgh, PA 15222, USA
| | - Laura Drogowski
- Work peformed while at Omnyx, LLC. Pittsburgh, PA 15222, USA
| | | | - Andrew Evans
- University Health Network, Toronto General Hospital, Toronto, Ontario M5G 2C4, Canada
| | - Jonhan Ho
- Department of Dermatology, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - Anil Parwani
- The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA
| | - Michael C Montalto
- Work peformed while at Omnyx, LLC. Pittsburgh, PA 15222, USA; Department of Translational Medicine, Bristol-Myers Squibb, etc. Princeton, NJ 08543, USA
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Affolter VK. Dermatopathology - the link between ancillary techniques and clinical lesions. Vet Dermatol 2016; 28:134-e28. [DOI: 10.1111/vde.12345] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/28/2016] [Indexed: 12/15/2022]
Affiliation(s)
- Verena K. Affolter
- Department of Pathology, Microbiology, Immunology; School of Veterinary Medicine; University California Davis; One Shields Avenue, VM3A, Room 4206 Davis CA 95616 USA
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Pradhan D, Monaco SE, Parwani AV, Ahmed I, Duboy J, Pantanowitz L. Evaluation of panoramic digital images using Panoptiq for frozen section diagnosis. J Pathol Inform 2016; 7:26. [PMID: 27217976 PMCID: PMC4872477 DOI: 10.4103/2153-3539.181770] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 03/30/2016] [Indexed: 11/04/2022] Open
Abstract
INTRODUCTION Whole slide imaging (WSI) permits intraoperative consultations (frozen sections) to be performed remotely. However, WSI files are large and can be problematic if there are tissue artifacts (e.g., tissue folds) or when slides are scanned without multiplanes (Z-stacks) to permit focusing. The Panoptiq dynamic imaging system allows users to create their own digital files that combine low power panoramic digital images with regions of interest that can be imaged using high power Z-stacks. The aim of this study was to determine the utility of the Panoptiq dynamic imaging system for frozen section telepathology. MATERIALS AND METHODS Twenty archival randomly selected genitourinary surgical pathology frozen sectional cases were evaluated using conventional light microscopy (glass slides), panoramic images, and whole slide images. To create panoramic images glass slides were digitized using a Prosilica GT camera (model GT1920C, Allied Vision Technologies) attached to an Olympus B × 45 microscope and Dell Precision Tower 810 computer (Dell). Panoptiq 3 version 3.1.2 software was used for image acquisition and Panoptiq View version 3.1.2 to view images (ViewsIQ, Richmond, BC, Canada). Image acquisition using Panoptiq software involved a pathology resident, who manually created digital maps (×4 objective) and then selected representative regions of interest to generate Z-stacks at higher magnification (×40 objective). Whole slide images were generated using an Aperio XT Scanscope (Leica) and viewed using ImageScope Software (Aperio ePathology, Leica). Three pathologists were asked to render diagnoses and rate image quality (1-10) and their diagnostic confidence (1-10) for each modality. RESULTS The diagnostic concordance with glass slides was 98.3% for panoramic images and 100% for WSI. Panoptiq images were comparable to the glass slide viewing experience in terms of image quality and diagnostic confidence. Complaints regarding WSI included poor focus near tissue folds and air bubbles. Panoptiq permitted fine focusing of tissue folds and air bubbles. Issues with panoramic images included difficulty interpreting low-resolution ×4 image maps and the presence of tiling artifacts. In some cases, Z-stacked areas of Panoptiq images were limited or not representative of diagnostic regions. The image file size of Panoptiq was more than 14 times smaller than that of WSI files. CONCLUSIONS The Panoptiq imaging system is a novel tool that can be used for frozen section telepathology. Panoramic digital images were easy to generate and navigate, of relatively small file size, and offered a mechanism to overcome focusing problems commonly encountered with WSI of frozen sections. However, the acquisition of representative Panoptiq images was operator dependent with the individual creating files that may impact the final diagnosis.
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Affiliation(s)
- Dinesh Pradhan
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Sara E Monaco
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Anil V Parwani
- Department of Pathology, The Ohio State University, Columbus, OH, USA
| | - Ishtiaque Ahmed
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Jon Duboy
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Liron Pantanowitz
- Department of Pathology, University of Pittsburgh Medical Center, Pittsburgh, PA, USA
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Prilepskaya EA, Kovylina MV, Govorov AV, Glotov AV, Vasilyev AO, Kolontarev KB, Nikitaev VG, Pronichev AN, Pushkar DY. [Possibilities of automated image analysis in pathology]. Arkh Patol 2016; 78:51-55. [PMID: 27077145 DOI: 10.17116/patol201678151-55] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Pathology is one of the most dynamically developed medical specialties. The wide spread of whole-slide imaging systems has leaded to the development of microscopic image analysis software. This review shows the possibilities of these programs and their role in the routine work of a pathologist.
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Affiliation(s)
- E A Prilepskaya
- Department of Urology, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia
| | - M V Kovylina
- Department of Urology, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia
| | - A V Govorov
- Department of Urology, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia
| | - A V Glotov
- Department of Pathologic Anatomy, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia
| | - A O Vasilyev
- Department of Urology, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia
| | - K B Kolontarev
- Department of Urology, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia
| | - V G Nikitaev
- National Research Nuclear University, Moscow Engineering Physics Institute, Moscow, Russia
| | - A N Pronichev
- National Research Nuclear University, Moscow Engineering Physics Institute, Moscow, Russia
| | - D Yu Pushkar
- Department of Urology, A.I. Evdokimov Moscow State University of Medicine and Dentistry, Ministry of Health of Russia
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Cheng CL, Azhar R, Sng SHA, Chua YQ, Hwang JSG, Chin JPF, Seah WK, Loke JCL, Ang RHL, Tan PH. Enabling digital pathology in the diagnostic setting: navigating through the implementation journey in an academic medical centre. J Clin Pathol 2016; 69:784-92. [PMID: 26873939 DOI: 10.1136/jclinpath-2015-203600] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2015] [Accepted: 01/25/2016] [Indexed: 12/15/2022]
Abstract
AIMS As digital pathology (DP) and whole slide imaging (WSI) technology advance and mature, there is an increasing drive to incorporate DP into the diagnostic environment. However, integration of DP into the diagnostic laboratory is a non-trivial task and filled with unexpected challenges unlike standalone implementations. We share our journey of implementing DP in the diagnostic laboratory setting, highlighting seven key guiding principles that drive the progression through implementation into deployment and beyond. METHODS The DP implementation with laboratory information system integration was completed in 8 months, including validation of the solution for diagnostic use in accordance with College of American Pathologists guidelines. We also conducted prospective validation via paired delivery of glass slides and WSI to our pathologists postdeployment. RESULTS Common themes in our guiding principles included emphasis on workflow and being comprehensive in the approach, looking beyond pathologist user champions and expanding into an extended project team involving laboratory technicians, clerical/data room staff and archival staff. Concordance between glass slides and WSI ranged from 93% to 100% among various applications on validation. We also provided equal opportunities for every pathologist throughout the department to be competent and confident with DP through prospective validation, with overall concordance of 96% compared with glass slides, allowing appreciation of the advantages and limitations of WSI, hence enabling the use of DP as a useful diagnostic modality. CONCLUSIONS Smooth integration of DP into the diagnostic laboratory is possible with careful planning, discipline and a systematic approach adhering to our guiding principles.
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Affiliation(s)
- Chee Leong Cheng
- Department of Pathology, Singapore General Hospital, Singapore, Republic of Singapore
| | - Rafay Azhar
- Department of Pathology, Singapore General Hospital, Singapore, Republic of Singapore
| | - Shi Hui Adeline Sng
- Department of Pathology, Singapore General Hospital, Singapore, Republic of Singapore
| | - Yong Quan Chua
- Department of Pathology, Singapore General Hospital, Singapore, Republic of Singapore
| | | | - Jennifer Poi Fun Chin
- Department of Pathology, Singapore General Hospital, Singapore, Republic of Singapore
| | - Waih Khuen Seah
- Department of Pathology, Singapore General Hospital, Singapore, Republic of Singapore
| | | | - Roy Hang Leng Ang
- Integrated Health Information Systems, Singapore, Republic of Singapore
| | - Puay Hoon Tan
- Department of Pathology, Singapore General Hospital, Singapore, Republic of Singapore
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