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      Update on the current opinion, status and future development of digital pathology in Switzerland in light of COVID-19

      research-article
      1 , 2 , , 1 , 3 , 4 , 5 , 6 , Swiss Digital Pathology Consortium (SDiPath)
      Journal of Clinical Pathology
      BMJ Publishing Group
      pathology, surgical, quality assurance, health care, telepathology

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          Abstract

          Aims

          The transition from analogue to digital pathology (DP) in Switzerland has coincided with the COVID-19 crisis. The Swiss Digital Pathology Consortium conducted a national survey to assess the experience of pathologists in dealing with the challenges of the pandemic and how this has influenced the outlook and adoption of DP.

          Methods

          A survey containing 20 questions relating to DP, personal experiences and challenges during the pandemic was addressed to Swiss pathologists at different experience stages in private practice, community and university hospitals.

          Results

          All 74 respondents were pathologists, with 81.1% reporting more than 5 years of diagnostic service experience. 32.5% reported having read 100 digital slides or more in a diagnostic context. 39.2% reported using whole slide imaging systems at their primary workplace. Key DP use cases before the COVID-19 lockdown were tumour boards (39.2%), education (60.8%) and research (44.6%), with DP used for primary diagnosis in 13.5%. During the COVID-19 crisis, the use of DP for primary diagnostics more than doubled (30% vs 13.5%), with internal consults as important drivers (22.5% vs 16.5%), while research use (25% vs 44.6%) and external consults (17.5% vs 41.9%) strongly decreased. Key challenges identified included a lack of established standard operating procedures and availability of specialised hardware and software.

          Conclusions

          This survey indicates that the crisis acted as a catalyst in promoting DP adoption in centres where basic workflows were already established while posing major technical and organisational challenges in institutions that were at an early stage of DP implementation.

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          Most cited references11

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          Validation of a digital pathology system including remote review during the COVID-19 pandemic

          Remote digital pathology allows healthcare systems to maintain pathology operations during public health emergencies. Existing Clinical Laboratory Improvement Amendments regulations require pathologists to electronically verify patient reports from a certified facility. During the 2019 pandemic of COVID-19 disease, caused by the SAR-CoV-2 virus, this requirement potentially exposes pathologists, their colleagues, and household members to the risk of becoming infected. Relaxation of government enforcement of this regulation allows pathologists to review and report pathology specimens from a remote, non-CLIA certified facility. The availability of digital pathology systems can facilitate remote microscopic diagnosis, although formal comprehensive (case-based) validation of remote digital diagnosis has not been reported. All glass slides representing routine clinical signout workload in surgical pathology subspecialties at Memorial Sloan Kettering Cancer Center were scanned on an Aperio GT450 at ×40 equivalent resolution (0.26 µm/pixel). Twelve pathologists from nine surgical pathology subspecialties remotely reviewed and reported complete pathology cases using a digital pathology system from a non-CLIA certified facility through a secure connection. Whole slide images were integrated to and launched within the laboratory information system to a custom vendor-agnostic, whole slide image viewer. Remote signouts utilized consumer-grade computers and monitors (monitor size, 13.3–42 in.; resolution, 1280 × 800–3840 × 2160 pixels) connecting to an institution clinical workstation via secure virtual private network. Pathologists subsequently reviewed all corresponding glass slides using a light microscope within the CLIA-certified department. Intraobserver concordance metrics included reporting elements of top-line diagnosis, margin status, lymphovascular and/or perineural invasion, pathology stage, and ancillary testing. The median whole slide image file size was 1.3 GB; scan time/slide averaged 90 s; and scanned tissue area averaged 612 mm2. Signout sessions included a total of 108 cases, comprised of 254 individual parts and 1196 slides. Major diagnostic equivalency was 100% between digital and glass slide diagnoses; and overall concordance was 98.8% (251/254). This study reports validation of primary diagnostic review and reporting of complete pathology cases from a remote site during a public health emergency. Our experience shows high (100%) intraobserver digital to glass slide major diagnostic concordance when reporting from a remote site. This randomized, prospective study successfully validated remote use of a digital pathology system including operational feasibility supporting remote review and reporting of pathology specimens, and evaluation of remote access performance and usability for remote signout.
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            Cancer diagnostic delay in the COVID-19 era: what happens next?

            Unquestionably, cancer should be diagnosed and treated without delay. Timely diagnosis might allow the cancer to be identified at a treatable stage and prevent complications. This thinking has underpinned the design of UK health-care delivery for decades, with initiatives at many stages of the patient's cancer journey. The aspiration in England, is for 75% of cancers to be diagnosed at stage I or II (thus potentially curable) by 2028, up from approximately 53% in 2018. 1 National screening is available for breast, colorectal, and cervical cancers in the UK; however, screening identifies only 10% of adult cancers, leaving the remainder of patients with cancer to present with symptoms. Most of these patients present to their primary care provider and are then offered urgent investigation using the 2-week-wait system, which guarantees specialist input within that timeframe. Selection for the 2-week-wait pathway follows guidance from the National Institute for Health and Care Excellence (NICE), which used a cancer risk of 3% as a threshold risk warranting urgent investigation. 2 Patients with atypical or low-risk symptoms will generally see a specialist routinely (with no guarantee of being seen rapidly). Some patients undergo primary care investigations, such as imaging or blood testing, with those testing positive then offered a 2-week-wait referral. The third main route to diagnosis is by an emergency admission, generally with a complication of the cancer, and resultant worse prognosis and reduced survival. 3 This hybrid system is now in disarray due to the COVID-19 pandemic. Two main changes have arisen as a consequence of the lockdown in the UK. First, patients are frightened, especially older patients and those with existing health conditions. Many are shielding by minimising interactions between themselves and others and staying home as much as possible, and are encouraged to do so. At the same time, the UK National Health Service (NHS) rapidly switched its comprehensive health care to one almost entirely focused on care for patients with COVID-19. Cancer screening was suspended in late March, 2020 (leaving around 8500 patients with a positive colorectal screening test, and a cancer risk of around 10%, uninvestigated); 4 patients are consulting face-to-face in primary care much less frequently (although telephone consultations have largely replaced these consultations), 5 and fewer 2-week-wait referrals are being made.6, 7 The reduction in 2-week-wait referrals has not been uniform across all diagnostic pathways—eg, with initial 2-week-wait data from the south-west of England suggesting a decrease in referrals of approximately a quarter for possible breast cancer, but more than a half for possible skin cancer (unpublished). The reason for this difference in referrals by cancer type is understandable. The main reason for a referral for breast cancer is a lump that the woman has detected and she and her doctor know it might be cancer, whereas for other possible cancers, patients are probably being selective in what they report to their health care provider, and primary care clinicians are also being selective in their referral decisions. Both these selection procedures are moderately effective and important. The numbers of new cancers identified have probably not decreased pro rata with the number of 2-week-wait referrals. Secondary care has seen much more dramatic changes than primary care, and these changes are the focus of two meticulous modelling studies of cancer deaths resulting from delays due to COVID-19 in England, published in The Lancet Oncology.6, 7 Amit Sud and colleagues extrapolated from observational data on treatment delays to estimate hazard ratios for diagnostic delay in the 20 most common cancers, after categorising these 20 cancers into high, medium, and low 5-year survival groups. 6 This grouping assumed that cancers with low 5-year survival might have been less affected by diagnostic delay than cancers with high survival rates. We cannot know how good this assumption is, because no reliable experimental data exist on the consequences of diagnostic delay. Substantial heterogeneity exists in times to diagnosis, stage at diagnosis, and the proportion of cancers that were diagnosed at emergency admissions across the different cancers, and this variation almost certainly translates to much increased heterogeneity in the ill-effects of diagnostic delay than the three broad groups chosen. Sud and colleagues also modelled only patients who would have had a 2-week-wait referral, thus omitting the large proportion of patients with cancer who are diagnosed by other routes. Their headline figure of additional deaths directly attributable to a 3-month NHS lockdown was 181–542, across modelling scenarios, followed by 401–1231 additional lives lost due to the backlog of uninvestigated patients. These estimates are most likely an underestimate of the total lives lost from cancer as a result of the NHS reconfiguration in response to COVID-19. The wide ranges of these estimates reflected scenarios of a reduction in 2-week-wait numbers ranging 25–75%. A further sophistication in this analytical approach was to estimate the risks and consequences of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection for patients with possible cancer receiving hospital investigation. This delicate balance of risks (which many patients averted by avoiding health-care facilities entirely) is a moving target because of the rapid decrease in COVID-19 cases, so might already be out of date. A different approach was taken by Camille Maringe and colleagues. 7 They studied breast, colorectal, oesophageal, and lung cancers only. Correctly assuming 2-week-wait referrals and emergency admissions would be the only diagnostic pathways available during NHS lockdown, they used historical data from patients diagnosed in 2010–12 and allotted screen-detected and routine referrals to these two routes, assigning to the patients the historical survival outcomes of their new route. This is a questionable assumption because patients on the routine referral pathway are different to those meeting criteria for a 2-week-wait referral. For instance, we cannot know that the same proportion of allotted patients would have had an emergency complication, with its additional mortality, as the patients in the historical comparisons. Therefore, the resultant figures of additional deaths of 3291–3621 are likely to be an overestimation for these four cancers. So, how large is the loss of life from cancer resulting from the COVID-19 pandemic? We have two very different figures from these modelling studies, reflecting their different methods, cancer sites, and assumptions. Both studies omit changes occurring before entry into secondary care and changed treatment regimens for those already diagnosed with cancer, which will further affect the total number of deaths. Perhaps a precise figure is not needed—the loss of life is big, whatever the method used. What is most important is the recovery plan. Every major NHS cancer diagnostic pathway has been adapted during the COVID-19 pandemic, maintaining the principle of selection for definitive investigation using the likelihood of cancer being present. As lockdown is eased, much triage will continue to be by telephone or video consultations, which might miss subtle diagnostic aspects that would be gleaned in a face-to-face consultation. Very few endoscopies were done between mid-March and early July, 2020. 8 Partial reopening of endoscopy facilities began in July, 2020, albeit with capacity usually below 50% of that before the COVID-19 era, and with colonoscopies prioritised for those with a high faecal immunochemical test result and those with positive screening tests. 8 As a short term expedient, alternative testing by imaging, such as CT colonography, or less modern testing methods such as barium swallow, might be offered instead of endoscopy. Imaging departments might not be able to meet increased demand: many were working at full capacity before the COVID-19 pandemic, and the need to keep patients separate and to clean equipment has reduced their efficiency. There are encouraging reports 9 that the Nightingale hospitals—which were rapidly built to offer care for patients with COVID-19, but are now less needed—will be reconfigured into cancer diagnostic hubs. The UK has had a long-term shortage of diagnostic capacity, although this shortage is not simply of equipment, but also of personnel, which is not so easily improved. 1 The authors of both Articles expect there will soon be a surge in patients referred via the 2-week-wait pathway who will require investigation, so that in the third quarter of 2020, not only will diagnostic services be at reduced capacity, but they will be at above-normal demand. This prediction might not be correct. Patients who have an undiagnosed cancer will still need to be tested; however, for most 2-week-wait pathways the number of referred patients without cancer greatly exceeds those with cancer. In February, 2020, the conversion rate across all 2-week-wait pathways was 7·1%, so 13 patients without cancer were tested for each one patient with cancer. 10 What will happen to these 13 patients? Some will never report their symptoms, and others will have recovered from their symptoms while waiting for testing. Others will be deemed sufficiently low risk after primary or secondary care assessment so they can avoid investigation, along with its small risk of harm. Only a few of the 13 patients without cancer need to avoid investigation and the feared surge will instead be a steady increase in demand for investigation, perhaps never reaching levels before the COVID-19 pandemic. Even so, patients whose symptoms are truly indicative of cancer have been disadvantaged, and some thousands will die as a result. One long-term legacy of the COVID-19 pandemic in the UK might be increased capacity in diagnostic services, but the cost has been considerable. © 2020 Collanges/BSIP/Science Photo Library 2020 Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
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              Digitalization plan in medical education during COVID-19 lockdown

              Background The COVID-19 pandemic has enhanced the adoption of virtual learning after the urgent suspension of traditional teaching. Different online learning strategies were established to face this learning crisis. The present descriptive cross-sectional study was conducted to reveal the different digital procedures implemented by the College of Medicine at Qassim University for better student performance and achievement. Methods The switch into distance-based learning was managed by the digitalization committee. Multiple online workshops were conducted to the staff and students about the value and procedures of such a shift. New procedures for online problem-based learning (PBL) sessions were designed. Students’ satisfaction was recorded regarding the efficiency of live streaming educational activities and online assessment. Results The students were satisfied with the overall shift into this collaborative e-learning environment and the new successful procedures of virtual PBL sessions. The digital learning tools facilitated the performance of the students and their peer sharing of knowledge. The role of informatics computer technologies was evident in promoting the students, research skills, and technical competencies. Conclusions The present work elaborated on the procedures and privileges of the transformation into digitalized learning, particularly the PBL sessions, which were appreciated by the students and staff. It recommended the adoption of future online theoretical courses as well as the development of informatics computer technologies.
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                Author and article information

                Journal
                J Clin Pathol
                J Clin Pathol
                jclinpath
                jcp
                Journal of Clinical Pathology
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                0021-9746
                1472-4146
                September 2021
                12 September 2021
                12 September 2021
                : jclinpath-2021-207768
                Affiliations
                [1 ]departmentMedical Faculty , University of Zurich , Zurich, Switzerland
                [2 ]departmentDepartment of Pathology and Molecular Pathology , University Hospital Zurich , Zurich, Switzerland
                [3 ]Institute of Pathology, Kantonsspital Aarau , Aarau, Switzerland
                [4 ]departmentInstitute of Pathology , University of Bern , Bern, Switzerland
                [5 ]departmentDepartment of Oncology , Lausanne University Hospital , Lausanne, Switzerland
                [6 ]departmentBiomedical Engineering Department , Case Western Reserve University , Cleveland, Ohio, USA
                Author notes
                [Correspondence to ] Professor Viktor Hendrik Koelzer, Medical Faculty, University of Zurich, Zurich 8006, Switzerland; viktor.koelzer@ 123456usz.ch
                Author information
                http://orcid.org/0000-0001-9206-4885
                http://orcid.org/0000-0001-6741-3000
                Article
                jclinpath-2021-207768
                10.1136/jclinpath-2021-207768
                8440121
                34518361
                3fe9aad1-b34c-40c7-85bd-64637ebfb8e8
                © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See:  http://creativecommons.org/licenses/by-nc/4.0/.

                History
                : 16 June 2021
                : 20 July 2021
                Funding
                Funded by: USZ Foundation;
                Award ID: INNOV0084
                Funded by: FundRef http://dx.doi.org/10.13039/100000054, National Cancer Institute;
                Award ID: 5U01CA239055
                Categories
                Original Research
                1506
                2474
                Custom metadata
                unlocked

                Pathology
                pathology,surgical,quality assurance,health care,telepathology
                Pathology
                pathology, surgical, quality assurance, health care, telepathology

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