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www.virtualpathology.leeds.ac.uk
Design and evaluation of a novel digital pathology workstation for
clinical use
Darren Treanor BSc (Computing) MB BCh PhD FRCPath
Leeds Teaching Hospitals Trust & University of Leeds
12th European Congress on Digital Pathology, Paris, June 2014
www.virtualpathology.leeds.ac.uk @LeedsPathology
www.virtualpathology.leeds.ac.uk
Context
• Leeds Teaching Hospitals NHS Trust
– 35 consultant pathologists
– 30 trainee pathologists
– ~ 250,000 H&E slides/ year in
“histopathology
• Scanning since 2003– 4 Aperio scanners
– >180,000 slides
– 160TB of image data
This is independent research carried out by us at the
University of Leeds/ Leeds Teaching Hospitals NHS
Trust funded by the UK National Institute for Health
Research (NIHR)
Conflict of interest statement: None to declare
www.virtualpathology.leeds.ac.uk
All atwww.virtualpathology.leeds.ac.uk
Powerwall: 48 megapixels, size 3.5m x
1.5m, 2 on site at Hospital, 2 in University
Website: 10,000 + virtual slides, slide
library, e-learning, QA materials, papers,
videos and more
www.virtualpathology.leeds.ac.uk
Background: There’s something wrong with digital pathology...
Poor acceptability
• Majority of pathologists feel virtual
slides are not suitable for clinical
diagnosis
Poor efficiency
• 60% less efficient than the
microscope
The virtual slide and conventional microscope – a direct comparison of their diagnostic efficiency.
Annual Meeting of the Pathological Society of Great Britain and Ireland. 2007, Glasgow.
www.virtualpathology.leeds.ac.uk
Why are virtual slide viewers less efficient than the microscope?
• Display resolution
• Software performance (moving pixels)
• Software design
– GUI design adopted from photo editing software
• Lack of training and experience
• Other factors
– Lower image quality than microscope, at both image
capture and display stages
www.virtualpathology.leeds.ac.uk
Why are virtual slides less efficient? The effect of display resolution
17” xga monitor shows 14% of the viewable area of the microscope field at 40x
www.virtualpathology.leeds.ac.uk
Project overview
Study work
practices and
workflow
Develop a
digital
microscope
Evaluate the
system with
pathologists
To make a digital microscope as fast as, or faster
than, a conventional microscope
www.virtualpathology.leeds.ac.uk
What we did
• Studied work in pathology
1. Quantitative
• Workload metrics
• Quantification of range of task types
performed with the microscope
2. Qualitative
• Observations, interviews
• Videos of work in the office, using the
microscope
3. Experimental
• Evaluation of workstation efficiency, utility
• Evaluation of specific UI questions
Randell R, Ruddle RA, Thomas R, Treanor D. “Diagnosis at the microscope: a workplace study of
histopathology.” Cognition, Technology & Work 2011 Aug.
www.virtualpathology.leeds.ac.uk
Working in the office: time breakdown
54%
23%
10%
4%
3%
2% 2%1%
1%
Viewing slide
Dictation
Other
Computer
Notes
Annotating
Book
Paperwork
Filling forms
Randell R, Ruddle RA, Quirke P, Thomas RG, Treanor D. “Working at the microscope: analysis of the
activities involved in diagnostic pathology”. Histopathology 2011
www.virtualpathology.leeds.ac.uk
Tracking at the microscope –a simple skin specimen
• Pathologists make hundreds of movements when viewing a slide
• Mean fixation time 1.3 – 2.0 seconds
• Follow complex paths
• The microscope is transparent to them – they focus on the image,
the pathology
www.virtualpathology.leeds.ac.uk
Project overview
Study work
practices and
workflow
Develop a
digital
microscope
Evaluate the
system with
pathologists
To make a digital microscope as fast as, or faster than, a conventional microscope
www.virtualpathology.leeds.ac.uk
Design, discussion, prototyping, more discussion
www.virtualpathology.leeds.ac.uk
Leeds virtual microscope v2: Final design
• Fast pixel moving engine
• Medical grade monitors
– Barco Coronis 6MP plus Nio 3MP
– Total 9 megapixels – equivalent
visual FOV and resolution
as a microscope
• Novel “case view”
– Viewing multiple slides (26% of our
slide workload at Leeds)
– Increased reference to metadata
(“doing 2 things at once”)
– Generating complex reports
Microscope
Workstation
www.virtualpathology.leeds.ac.uk
Workstation version 2 design: Screenshot
www.virtualpathology.leeds.ac.uk
Slides with metadata displayed in 2D grid
www.virtualpathology.leeds.ac.uk
Leeds virtual microscope v2.0video
www.virtualpathology.leeds.ac.uk
Project overview
Study work
practices and
workflow
Develop a
digital
microscope
Evaluate the
system with
pathologists
To make a digital microscope as fast as, or faster than, a conventional microscope
www.virtualpathology.leeds.ac.uk
Results: Similar time to complete the task on LVM
Device Mean
(%)
Median
(%)
Exposure
Leeds virtual
microscope
100.8 96.5 30 minutes
Microscope 99.3 112 10 years
Normalised time to complete task
Error bars show 95% confidence interval (CI)
www.virtualpathology.leeds.ac.uk
Higher percentage of time spent viewing slides on LVM
Mean % time spent viewing slides
Error bars show 95% confidence interval (CI)
p < .05
www.virtualpathology.leeds.ac.uk
Tracking shows pathologist returning to slides
• Suggests that confirming diagnosis, rather than relying on memory - or less
confident of decision?
www.virtualpathology.leeds.ac.uk
And… more acceptable to pathologists!
www.virtualpathology.leeds.ac.uk
Summary
• 5 year effort
• User centred design
• Multidisciplinary team
• Created
– Powerwall
– Desktop LVM
• Equivalent time to the microscope
• More time spent looking at the slides
• Acceptable to users
www.virtualpathology.leeds.ac.uk
AcknowledgementsVirtual Pathology at University of Leeds• Phil Quirke• David Turner, Martin Waterhouse, Mike Hale, Alex Wright, Fraser Lewis, Hannah Dee, Gordon Hutchins• Nick Roberts, Richard Quirke, Mike Shires, Doreen Crellin, Nick Roberts (technical work)
Image analysis & computer vision at University of Leeds• Alex Wright & Andrew Bennett &Yanong Zhu, Pathology and Tumour Biology Group, Leeds Institute of
Molecular Medicine, University of Leeds• Ladislav Gubic, Jim Swainston, James Bridges, BSc students, School of Computing, University of Leeds• Andy Bulpitt, Derek Magee, Yi Song, Yu Zhou, School of Computing, University of Leeds
Visualisation & human computer interaction at University of Leeds• Roy Ruddle, Rhys Thomas, John Hodrien School of Computing• Rebecca Randell, Leeds Institute of Molecular Medicine
Collaborators/ supporters• Claudia Mello-Thoms, University of Pittsburgh• David Brettle, Leeds Teaching Hospitals Trust• Barco
Funding• Pathological Society of Great Britain and Ireland• Department of Health• Yorkshire Cancer Research• National Institute for Health Research
www.virtualpathology.leeds.ac.uk
www.virtualpathology.leeds.ac.uk