Whole slide imaging equivalency and efficiency study: experience at a large academic center

Hanna, Matthew G.; Reuter, Victor E.; Hameed, Meera; Tan, Lee K.; Chiang, Sarah; Sigel, Carlie S.; Hollmann, Travis J.; Giri, Dilip; Samboy, Jennifer; Moradel, Carlos; Rosado, Andrea; Otilano, John R.; England, Christine; Corsale, Lorraine; Stamelos, Evangelos; Yagi, Yukako; Schüffler, Peter J.; Fuchs, Thomas J.; Klimstra, David S.; Sirintrapun, S. Joseph

doi:10.1038/s41379-019-0205-0

Cited by 150 publications

(142 citation statements)

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“…20,21 Dr Yagi's group has also demonstrated the cost effectiveness of digital pathology. 22,23 Kim Solez presented concepts underlying the Banff Digital Pathology White Paper as well as larger issues. He reviewed the results of the video request for comment on the Digital Pathology White Paper.…”

Section: Alexandre Loupy Presented Ai Research Being Conducted Bymentioning

confidence: 99%

Banff Digital Pathology Working Group: Going digital in transplant pathology

Farris

Moghe

et al. 2020

American Journal of Transplantation

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The Banff Digital Pathology Working Group (DPWG) was formed in the time leading up to and during the joint American Society for Histocompatibility and Immunogenetics/Banff Meeting, September 23‐27, 2019, held in Pittsburgh, Pennsylvania. At the meeting, the 14th Banff Conference, presentations directly and peripherally related to the topic of “digital pathology” were presented; and discussions before, during, and after the meeting have resulted in a list of issues to address for the DPWG. Included are practice standardization, integrative approaches for study classification, scoring of histologic parameters (eg, interstitial fibrosis and tubular atrophy and inflammation), algorithm classification, and precision diagnosis (eg, molecular pathways and therapeutics). Since the meeting, a survey with international participation of mostly pathologists (81%) was conducted, showing that whole slide imaging is available at the majority of centers (71%) but that artificial intelligence (AI)/machine learning was only used in ≈12% of centers, with a wide variety of programs/algorithms employed. Digitalization is not just an end in itself. It also is a necessary precondition for AI and other approaches. Discussions at the meeting and the survey highlight the unmet need for a Banff DPWG and point the way toward future contributions that can be made.

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Section: Alexandre Loupy Presented Ai Research Being Conducted Bymentioning

confidence: 99%

Banff Digital Pathology Working Group: Going digital in transplant pathology

Farris

Moghe

et al. 2020

American Journal of Transplantation

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“…A complete digital transformation requires a large upfront investment, with returns on investment almost exclusively hinging on the system being more efficient in the long term. Also, there is some evidence that changing to complete digital pathology sign out is actually less efficient in the short term . However, this is an unfair assessment of the potential efficiency of digital pathology, as none of the contributory apps that could streamline workflow, described above, are currently available for clinical practice.…”

Section: Digital Pathology and The Modern Pathology Laboratorymentioning

confidence: 99%

“…Also, there is some evidence that changing to complete digital pathology sign out is actually less efficient in the short term. 15 However, this is an unfair assessment of the potential efficiency of digital pathology, as none of the contributory apps that could streamline workflow, described above, are currently available for clinical practice. In addition to purchasing enough slide scanners for your institution, you also need a laboratory information system that is capable of integrating everything, and enough local server storage to keep up with your anticipated slide volume (currently, a single routine histology slide produces a digital file of between 1 and 5 GB, depending on the tissue size).…”

Section: Digital Pathology and The Modern Pathology Laboratorymentioning

confidence: 99%

The coming 15 years in gynaecological pathology: digitisation, artificial intelligence, and new technologies

2019

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Surgical pathology forms the cornerstone of modern oncological medicine, owing to the wealth of clinically relevant information that can be obtained from tissue morphology. Although several ancillary testing modalities have been added to surgical pathology, the way in which we view and interpret tissue morphology has remained largely unchanged since the inception of our profession. In this review, we discuss new technological advances that promise to transform the way in which we access tissue morphology and how we use it to guide patient care.

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“…One drawback to digital histopathology is that, while it has equivalent accuracy, it is slower to perform than traditional reading from glass slides and requires excellent bandwidth and network connectivity to enable efficient loading of dataheavy images. 4 The size of the images required in this study was greatly reduced by using smartphone-captured MOI images instead of WSI. Although WSI systems can save slide images at up to 400 9 magnification, the MOI needs only 10 9 magnification, as BCC diagnosis relies more on overall architectural features rather than cellular structures.…”

Section: Smartphones Artificial Intelligence and Digital Histopatholmentioning

confidence: 99%

“…Conversely, the efficacy of rituximab is less consistent in patients with pemphigoids, including MMP. 4 Thus, distinguishing between these disorders is crucial.…”

mentioning

confidence: 99%