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Schukow CP, Allen TC. Digital and Computational Pathology Are Pathologists' Physician Extenders. Arch Pathol Lab Med 2024; 148:866-870. [PMID: 38531382 DOI: 10.5858/arpa.2023-0537-ed] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/11/2024] [Indexed: 03/28/2024]
Affiliation(s)
- Casey P Schukow
- From the Department of Pathology, Corewell Health's Beaumont Hospital, Royal Oak, Michigan
| | - Timothy Craig Allen
- From the Department of Pathology, Corewell Health's Beaumont Hospital, Royal Oak, Michigan
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2
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Caputo A, Angeloni M, Merolla F, Vatrano S, Ferrazzi F, Fraggetta F. Digital odyssey: lessons learnt from a reverse transition from a digital to a manual pathology workflow. J Clin Pathol 2024; 77:426-429. [PMID: 38267209 DOI: 10.1136/jcp-2023-209382] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Accepted: 01/12/2024] [Indexed: 01/26/2024]
Abstract
In the fully digital Caltagirone pathology laboratory, a reverse shift from a digital to a manual workflow occurred due to a server outage in September 2023. Here, insights gained from this unplanned transition are explored. Surveying the affected pathologists and technicians revealed unanimous preferences for the time-saving and error-reducing capabilities of the digital methodology. Conversely, the return to manual methods highlighted increased dissatisfaction and reduced efficiency, emphasising the superiority of digital workflows. This case study underscores that transition challenges are not inherent to digital workflows but to transitioning itself, advocating for the adoption of digital technologies in all pathology practices.
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Affiliation(s)
- Alessandro Caputo
- Department of Pathology, University Hospital of Salerno, Salerno, Italy
| | - Miriam Angeloni
- Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
| | - Francesco Merolla
- Department of Medicine and Health Sciences Vincenzo Tiberio, University of Molise, Campobasso, Italy
| | | | - Fulvia Ferrazzi
- Institute of Pathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
- Department of Nephropathology, Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU), Erlangen, Germany
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3
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L'Imperio V, Cazzaniga G, Mannino M, Seminati D, Mascadri F, Ceku J, Casati G, Bono F, Eloy C, Rocco EG, Frascarelli C, Fassan M, Malapelle U, Pagni F. Digital counting of tissue cells for molecular analysis: the QuANTUM pipeline. Virchows Arch 2024:10.1007/s00428-024-03794-9. [PMID: 38532196 DOI: 10.1007/s00428-024-03794-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2024] [Revised: 02/19/2024] [Accepted: 03/20/2024] [Indexed: 03/28/2024]
Abstract
The estimation of tumor cellular fraction (TCF) is a crucial step in predictive molecular pathology, representing an entry adequacy criterion also in the next-generation sequencing (NGS) era. However, heterogeneity of quantification practices and inter-pathologist variability hamper the robustness of its evaluation, stressing the need for more reliable results. Here, 121 routine histological samples from non-small cell lung cancer (NSCLC) cases with complete NGS profiling were used to evaluate TCF interobserver variability among three different pathologists (pTCF), developing a computational tool (cTCF) and assessing its reliability vs ground truth (GT) tumor cellularity and potential impact on the final molecular results. Inter-pathologist reproducibility was fair to good, with overall Wk ranging between 0.46 and 0.83 (avg. 0.59). The obtained cTCF was comparable to the GT (p = 0.129, 0.502, and 0.130 for surgical, biopsies, and cell block, respectively) and demonstrated good reliability if elaborated by different pathologists (Wk = 0.9). Overall cTCF was lower as compared to pTCF (30 ± 10 vs 52 ± 19, p < 0.001), with more cases < 20% (17, 14%, p = 0.690), but none containing < 100 cells for the algorithm. Similarities were noted between tumor area estimation and pTCF (36 ± 29, p < 0.001), partly explaining variability in the human assessment of tumor cellularity. Finally, the cTCF allowed a reduction of the copy number variations (CNVs) called (27 vs 29, - 6.9%) with an increase of effective CNVs detection (13 vs 7, + 85.7%), some with potential clinical impact previously undetected with pTCF. An automated computational pipeline (Qupath Analysis of Nuclei from Tumor to Uniform Molecular tests, QuANTUM) has been created and is freely available as a QuPath extension. The computational method used in this study has the potential to improve efficacy and reliability of TCF estimation in NSCLC, with demonstrated impact on the final molecular results.
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Affiliation(s)
- Vincenzo L'Imperio
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy.
| | - Giorgio Cazzaniga
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy
| | - Mauro Mannino
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy
| | - Davide Seminati
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy
| | - Francesco Mascadri
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy
| | - Joranda Ceku
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy
| | - Gabriele Casati
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy
| | - Francesca Bono
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy
| | - Catarina Eloy
- Pathology Laboratory, Institute of Molecular Pathology and Immunology of University of Porto (IPATIMUP), Porto, Portugal
- Pathology Department, Medical Faculty of University of Porto, Porto, Portugal
| | - Elena Guerini Rocco
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Chiara Frascarelli
- Division of Pathology, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Matteo Fassan
- Surgical Pathology and Cytopathology Unit, Department of Medicine, DIMED, University of Padua, Padua, Italy
- Veneto Institute of Oncology, IOV-IRCCS, Padua, Italy
| | - Umberto Malapelle
- Department of Public Health, University of Naples Federico II, Naples, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, IRCCS Fondazione San Gerardo Dei Tintori, University of Milano-Bicocca, Milan, Italy
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4
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Schwen LO, Kiehl TR, Carvalho R, Zerbe N, Homeyer A. Digitization of Pathology Labs: A Review of Lessons Learned. J Transl Med 2023; 103:100244. [PMID: 37657651 DOI: 10.1016/j.labinv.2023.100244] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2023] [Revised: 07/18/2023] [Accepted: 08/23/2023] [Indexed: 09/03/2023] Open
Abstract
Pathology laboratories are increasingly using digital workflows. This has the potential of increasing laboratory efficiency, but the digitization process also involves major challenges. Several reports have been published describing the individual experiences of specific laboratories with the digitization process. However, a comprehensive overview of the lessons learned is still lacking. We provide an overview of the lessons learned for different aspects of the digitization process, including digital case management, digital slide reading, and computer-aided slide reading. We also cover metrics used for monitoring performance and pitfalls and corresponding values observed in practice. The overview is intended to help pathologists, information technology decision makers, and administrators to benefit from the experiences of others and to implement the digitization process in an optimal way to make their own laboratory future-proof.
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Affiliation(s)
- Lars Ole Schwen
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany.
| | - Tim-Rasmus Kiehl
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Institute of Pathology, Berlin, Germany
| | - Rita Carvalho
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Institute of Pathology, Berlin, Germany
| | - Norman Zerbe
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Institute of Pathology, Berlin, Germany
| | - André Homeyer
- Fraunhofer Institute for Digital Medicine MEVIS, Bremen, Germany
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5
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Dhane AS. Correspondence on "Evaluating the use of virtual microscopy in cytology education". J Am Soc Cytopathol 2023; 12:476-477. [PMID: 37739918 DOI: 10.1016/j.jasc.2023.08.002] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2023] [Accepted: 08/22/2023] [Indexed: 09/24/2023]
Affiliation(s)
- Amol S Dhane
- Research & Development Cell, Dr. D. Y. Patil Vidyapeeth, Sant Tukaram Nagar, Pimpri, Pune, Maharashtra, India.
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Caputo A, Fraggetta F, Cretella P, Cozzolino I, Eccher A, Girolami I, Marletta S, Troncone G, Vigliar E, Acanfora G, Zarra KV, Torres Rivas HE, Fadda G, Field A, Katz R, Vielh P, Eloy C, Rajwanshi A, Gupta N, Al-Abbadi M, Bustami N, Arar T, Calaminici M, Raine JI, Barroca H, Canão PA, Ehinger M, Rajabian N, Dey P, Medeiros LJ, El Hussein S, Lin O, D'Antonio A, Bode-Lesniewska B, Rossi ED, Zeppa P. Digital Examination of LYmph node CYtopathology Using the Sydney system (DELYCYUS): An international, multi-institutional study. Cancer Cytopathol 2023; 131:679-692. [PMID: 37418195 DOI: 10.1002/cncy.22741] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2023] [Revised: 03/20/2023] [Accepted: 04/10/2023] [Indexed: 07/08/2023]
Abstract
BACKGROUND After a series of standardized reporting systems in cytopathology, the Sydney system was recently introduced to address the need for reproducibility and standardization in lymph node cytopathology. Since then, the risk of malignancy for the categories of the Sydney system has been explored by several studies, but no studies have yet examined the interobserver reproducibility of the Sydney system. METHODS The authors assessed interobserver reproducibility of the Sydney system on 85 lymph node fine-needle aspiration cytology cases reviewed by 15 cytopathologists from 12 institutions in eight different countries, resulting in 1275 diagnoses. In total, 186 slides stained with Diff-Quik, Papanicolaou, and immunocytochemistry were scanned. A subset of the cases included clinical data and results from ultrasound examinations, flow cytometry immunophenotyping, and fluorescence in situ hybridization analysis. The study participants assessed the cases digitally using whole-slide images. RESULTS Overall, the authors observed an almost perfect agreement of cytopathologists with the ground truth (median weighted Cohen κ = 0.887; interquartile range, κ = 0.210) and moderate overall interobserver concordance (Fleiss κ = 0.476). There was substantial agreement for the inadequate and malignant categories (κ = 0.794 and κ = 0.729, respectively), moderate agreement for the benign category (κ = 0.490), and very slight agreement for the suspicious (κ = 0.104) and atypical (κ = 0.075) categories. CONCLUSIONS The Sydney system for reporting lymph node cytopathology shows adequate interobserver concordance. Digital microscopy is an adequate means to assess lymph node cytopathology specimens.
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Affiliation(s)
- Alessandro Caputo
- Department of Pathology, University Hospital of Salerno, Salerno, Italy
| | - Filippo Fraggetta
- Department of Pathology, Gravina and Santo Pietro Hospital, Caltagirone, Italy
| | - Pasquale Cretella
- Department of Advanced Biomedical Sciences, "Federico II" University, Naples, Italy
| | - Immacolata Cozzolino
- Department of Mental and Physical Health and Preventive Medicine, Università Degli Studi Della Campania "Luigi Vanvitelli", Naples, Italy
| | - Albino Eccher
- Department of Pathology and Diagnostics, University and Hospital Trust of Verona, Verona, Italy
| | - Ilaria Girolami
- Department of Pathology, Provincial Hospital of Bolzano, South Tyrolean Health Care Service-South Tyrol Health Authority, Bolzano-Bozen, Italy
| | - Stefano Marletta
- Department of Diagnostics and Public Health, University and Hospital Trust of Verona, Verona, Italy
| | | | - Elena Vigliar
- Department of Public Health, "Federico II" University, Naples, Italy
| | - Gennaro Acanfora
- Department of Public Health, "Federico II" University, Naples, Italy
| | - Karen Villar Zarra
- Pathology Department, Hospital Universitario Del Henares, Coslada, Spain
| | | | - Guido Fadda
- Department of Human Pathology of the Adulthood and Developing Age "Gaetano Barresi", Section of Pathology, University of Messina, Messina, Italy
| | - Andrew Field
- Department of Anatomical Pathology, St Vincent's Hospital, University of New South Wales and University of Notre Dame, Sydney, New South Wales, Australia
| | - Ruth Katz
- Department of Pathology, Tel HaShomer Hospital, Tel Aviv, Israel
| | | | - Catarina Eloy
- Institute of Molecular Pathology and Immunology of the University of Porto, Porto, Portugal
| | | | - Nalini Gupta
- Department of Cytopathology and Gynecologic Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - Mousa Al-Abbadi
- Department of Pathology, Microbiology and Forensic Medicine, The University of Jordan, Amman, Jordan
| | - Nadwa Bustami
- Department of Pathology, Microbiology and Forensic Medicine, The University of Jordan, Amman, Jordan
| | - Tala Arar
- Department of Pathology, Microbiology and Forensic Medicine, The University of Jordan, Amman, Jordan
| | - Maria Calaminici
- Specialist Integrated Hematological Malignancy Diagnostic Service, Department of Cellular Pathology, Barts Health National Health Service Trust, England, UK
- Center for Hemato-Oncology, Barts Cancer Institute, London, UK
| | - Juliet I Raine
- Specialist Integrated Hematological Malignancy Diagnostic Service, Department of Cellular Pathology, Barts Health National Health Service Trust, England, UK
| | - Helena Barroca
- Serviço de Anatomia Patológica, Hospital S João-Porto, Porto, Portugal
| | | | - Mats Ehinger
- Department of Clinical Sciences, Pathology, Skane University Hospital, Lund University, Lund, Sweden
| | - Nilofar Rajabian
- Department of Clinical Sciences, Pathology, Skane University Hospital, Lund University, Lund, Sweden
| | - Pranab Dey
- Department of Cytopathology and Gynecologic Pathology, Postgraduate Institute of Medical Education and Research, Chandigarh, India
| | - L Jeffrey Medeiros
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Siba El Hussein
- Department of Pathology, University of Rochester Medical Center, Rochester, New York, USA
| | - Oscar Lin
- Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, New York, USA
| | | | | | - Esther Diana Rossi
- Division of Anatomic Pathology and Histology, Catholic University Rome, Rome, Italy
| | - Pio Zeppa
- Department of Pathology, University Hospital of Salerno, Salerno, Italy
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Caputo A, Macrì L, Gibilisco F, Vatrano S, Taranto C, Occhipinti E, Santamaria F, Arcoria A, Scillieri R, Fraggetta F. Validation of full-remote reporting for cervicovaginal cytology: the Caltagirone-Acireale distributed lab. J Am Soc Cytopathol 2023; 12:378-385. [PMID: 37482510 DOI: 10.1016/j.jasc.2023.06.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 05/04/2023] [Accepted: 06/01/2023] [Indexed: 07/25/2023]
Abstract
INTRODUCTION Cervical cancer is the fourth most common cancer in women, and its prevention is based on vaccination and screening. Screening consists of molecular human papillomavirus (HPV) testing and cytologic analysis of cervical smears, which require expensive equipment and the interaction of numerous professionals such as biologists, cytologists, laboratory technicians, and pathologists. MATERIALS AND METHODS We centralize the cervical samples from more than 51 clinics in 1 main laboratory, where automated HPV testing is performed. HPV-positive cases are collected and used to prepare a liquid-based cytology slide, which is stained and immediately scanned. The resulting whole-slide images (WSIs) are immediately available in a remote laboratory where they are examined by experienced cytologists using virtual microscopy. This setup was validated by making each of the 3 readers independently diagnose 506 specimens in random order, using both conventional light microscopy (CLM) and WSIs, with a minimum wash-out period of 3 weeks and with a final discussion for all cases. RESULTS Intraobserver agreement among CLM and WSI ranged from 0.71 to 0.79, and interobserver agreement for the 3 readers compared with the consensus diagnosis was similar for the 2 modes of assessment. Readers subjectively felt confident in their WSI diagnosis for inadequate and negative cases, but less so in other cases. The perceived difficulty was slightly higher in WSI readings. CONCLUSIONS Interobserver agreement in cervicovaginal cytology is moderate and does not vary if the slides are examined conventionally or digitally. Despite higher reported subjective difficulty and lower confidence in the WSI diagnosis, we did not observe a deterioration in diagnostic performance using WSI compared with CLM.
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Affiliation(s)
- Alessandro Caputo
- Department of Pathology, University Hospital "San Giovanni di Dio e Ruggi D'Aragona", Salerno, Italy; Department of Pathology, Hospital "Gravina e Santo Pietro", Caltagirone, Italy
| | - Luigia Macrì
- Central Cervicovaginal Screening Unit and Center for Cancer Epidemiology and Prevention, Turin, Italy
| | - Fabio Gibilisco
- Department of Pathology, Hospital "Gravina e Santo Pietro", Caltagirone, Italy; Department of Medical and Surgical Sciences and Advanced Technologies, "G. F. Ingrassia", University of Catania, Catania, Italy
| | - Simona Vatrano
- Department of Pathology, Hospital "Gravina e Santo Pietro", Caltagirone, Italy
| | - Chiara Taranto
- Department of Pathology, Hospital "Gravina e Santo Pietro", Caltagirone, Italy
| | | | | | - Angela Arcoria
- Department of Pathology, Hospital "Gravina e Santo Pietro", Caltagirone, Italy
| | | | - Filippo Fraggetta
- Department of Pathology, Hospital "Gravina e Santo Pietro", Caltagirone, Italy.
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Piga I, L'Imperio V, Capitoli G, Denti V, Smith A, Magni F, Pagni F. Paving the path toward multi-omics approaches in the diagnostic challenges faced in thyroid pathology. Expert Rev Proteomics 2023; 20:419-437. [PMID: 38000782 DOI: 10.1080/14789450.2023.2288222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2023] [Accepted: 11/22/2023] [Indexed: 11/26/2023]
Abstract
INTRODUCTION Despite advancements in diagnostic methods, the classification of indeterminate thyroid nodules still poses diagnostic challenges not only in pre-surgical evaluation but even after histological evaluation of surgical specimens. Proteomics, aided by mass spectrometry and integrated with artificial intelligence and machine learning algorithms, shows great promise in identifying diagnostic markers for thyroid lesions. AREAS COVERED This review provides in-depth exploration of how proteomics has contributed to the understanding of thyroid pathology. It discusses the technical advancements related to immunohistochemistry, genetic and proteomic techniques, such as mass spectrometry, which have greatly improved sensitivity and spatial resolution up to single-cell level. These improvements allowed the identification of specific protein signatures associated with different types of thyroid lesions. EXPERT COMMENTARY Among all the proteomics approaches, spatial proteomics stands out due to its unique ability to capture the spatial context of proteins in both cytological and tissue thyroid samples. The integration of multi-layers of molecular information combining spatial proteomics, genomics, immunohistochemistry or metabolomics and the implementation of artificial intelligence and machine learning approaches, represent hugely promising steps forward toward the possibility to uncover intricate relationships and interactions among various molecular components, providing a complete picture of the biological landscape whilst fostering thyroid nodule diagnosis.
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Affiliation(s)
- Isabella Piga
- Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, University of Milano - Bicocca, Monza, Italy
| | - Vincenzo L'Imperio
- Department of Medicine and Surgery, Pathology, Fondazione IRCCS San Gerardo dei Tintori, University of Milan-Bicocca, Monza, Italy
| | - Giulia Capitoli
- Department of Medicine and Surgery, Bicocca Bioinformatics Biostatistics and Bioimaging B4 Center, University of Milan - Bicocca (UNIMIB), Monza, Italy
| | - Vanna Denti
- Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, University of Milano - Bicocca, Monza, Italy
| | - Andrew Smith
- Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, University of Milano - Bicocca, Monza, Italy
| | - Fulvio Magni
- Department of Medicine and Surgery, Clinical Proteomics and Metabolomics Unit, University of Milano - Bicocca, Monza, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, Fondazione IRCCS San Gerardo dei Tintori, University of Milan-Bicocca, Monza, Italy
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Caputo A, L’Imperio V, Merolla F, Girolami I, Leoni E, Mea VD, Pagni F, Fraggetta F. The slow-paced digital evolution of pathology: lights and shadows from a multifaceted board. Pathologica 2023; 115:127-136. [PMID: 37387439 PMCID: PMC10462988 DOI: 10.32074/1591-951x-868] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 04/04/2023] [Indexed: 07/01/2023] Open
Abstract
Objective The digital revolution in pathology represents an invaluable resource fto optimise costs, reduce the risk of error and improve patient care, even though it is still adopted in a minority of laboratories. Barriers include concerns about initial costs, lack of confidence in using whole slide images for primary diagnosis, and lack of guidance on transition. To address these challenges and develop a programme to facilitate the introduction of digital pathology (DP) in Italian pathology departments, a panel discussion was set up to identify the key points to be considered. Methods On 21 July 2022, an initial conference call was held on Zoom to identify the main issues to be discussed during the face-to-face meeting. The final summit was divided into four different sessions: (I) the definition of DP, (II) practical applications of DP, (III) the use of AI in DP, (IV) DP and education. Results Essential requirements for the implementation of DP are a fully tracked and automated workflow, selection of the appropriate scanner based on the specific needs of each department, and a strong commitment combined with coordinated teamwork (pathologists, technicians, biologists, IT service and industries). This could reduce human error, leading to the application of AI tools for diagnosis, prognosis and prediction. Open challenges are the lack of specific regulations for virtual slide storage and the optimal storage solution for large volumes of slides. Conclusion Teamwork is key to DP transition, including close collaboration with industry. This will ease the transition and help bridge the gap that currently exists between many labs and full digitisation. The ultimate goal is to improve patient care.
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Affiliation(s)
- Alessandro Caputo
- Department of Pathology, Ruggi University Hospital, Salerno, Italy
- Pathology Unit, Gravina Hospital Caltagirone ASP, Catania, Italy
| | - Vincenzo L’Imperio
- Department of Medicine and Surgery, Pathology, University of Milan-Bicocca, IRCCS Fondazione San Gerardo dei Tintori, Monza, Italy
| | - Francesco Merolla
- Department of Medicine and Health Sciences “V. Tiberio”, University of Molise, Campobasso, Italy
| | - Ilaria Girolami
- Department of Pathology, Provincial Hospital of Bolzano (SABES-ASDAA), Bolzano-Bozen, Italy; Lehrkrankenhaus der Paracelsus Medizinischen Privatuniversität
| | - Eleonora Leoni
- Pathology Unit, Busto Arsizio Hospital, Busto Arsizio, Italy
| | - Vincenzo Della Mea
- Department of Mathematics, Computer Science and Physics, University of Udine, Udine, Italy
| | - Fabio Pagni
- Department of Medicine and Surgery, Pathology, University of Milan-Bicocca, IRCCS Fondazione San Gerardo dei Tintori, Monza, Italy
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Caputo A, Pepe L, Fraggetta F. Current State of Cytologic-Histologic Correlation Implementation for North American and International Laboratories. Arch Pathol Lab Med 2023; 147:15-16. [PMID: 36577092 DOI: 10.5858/arpa.2022-0262-le] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/03/2022] [Indexed: 12/29/2022]
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