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Lessons from my tryst with digital pathology Dr K Dasgupta Complaints from analogue pathology Uncertainty of measurement (MoU 0.01mm accuracy for melanoma) Ergonomic and work flow problems Rooted Delayed collaboration Approaches


  1. Lessons from my tryst with digital pathology Dr K Dasgupta

  2. Complaints from analogue pathology • Uncertainty of measurement (MoU 0.01mm accuracy for melanoma) • Ergonomic and work flow problems • Rooted • Delayed collaboration

  3. Approaches to pilot: to each his own • Direct access to referral material • Exception reporting • Limited wash • Full wash out

  4. Will it all come out in the wash? • 100% concordance • Confident use of tools • Confident of low power dx • 5/103 (4.8%) rescans • More time than analogue (subjective)

  5. The live experience Count of Episode Number Total 1 Tissue Type 2 4 5 Axillary Nodes 19 3 Bladder biopsy 186 cases, 28 Breast biopsy (24 off site/digital Breast resection 22 Breast Sentinel LN home reporting) 1 Cervical biopsy Cervical loop 19 46 Gallbladder GI biopsy 22 GI polyp 10 Liver biopsy 1 2 1

  6. Rescans

  7. Special stains and IHC

  8. Time and analogue Count of Episode Number Count of Episode Number Total Total 0.54% 31.72% 27.72% 36.02% Time to assess case cf glass less Glass Required For Si... longer no same yes (blank) 72.28% 31.72%

  9. Pass the glass

  10. Diagnostic Concordat (6) 1.35% major 0.69 % minor (2%) Glass Required For Diagnostic Sign Out Concordance (Y/N) If Yes state reason (Y/N) If No state reason Underscoring of mitosis in no no scans yes lack of confidence no Difficult for VIN 1,2 at margins yes lack of confidence no Missed small foci of invasion yes lack of confidence no hazy scan yes lack of confidence no mucosal prolapse in C Partial atrophy mimicking yes difficult case no cancer

  11. CONFIDENCE TREND

  12. Summary (289 cases) • Huge quality benefits- Breast, prostate, cervix- accuracy • NHSBCSP and CRC- quality neutral • Steep learning curve- persistent use • Work flow, remote site reposting, virtual academy of specialists • Dearly missed for above categories

  13. Summary Cont’d • Much slower for single slide, few fragments, low complexity cases (skin, GI, endometrium) • Mental barrier for challenging cases • CAUTION- Subtle foci of malignancy in a large volume- TURP, re resection of bladder tumours, post NAC breast/colon

  14. Necessary improvements • Analogous to the ease of text annotation of slide label • Microns to be converted to decimals of mm • Even better focus at lowest magnificatioon • Better white balance with ambient illumination • Memory of personal settings • Image stitching capability

  15. Future directions • Tumour finding tool • Grading algorithm • Biomarker scoring algorithm • Morphometry and image analysis • Image superimposition for difficult tumours • Man from Istanbul problem (Rosai) • Quantitative proteomics

  16. Barriers to implementation • Financial • Inertia and comfort • Enforcement and apprehension • Over enthusiasm for all that’s new and contempt for old

  17. Conclusion • How did IHC and molecular pathology get introduced in surgical pathology? • Need to distinguish between core and non core aspect Finance Quality Efficiency

  18. Conclusion • Critical mass • To gain momentum • Join the bandwagon

  19. THANK YOU ACKNOWLEDGEMENTS T WING, GE OMNYX D BOTTOMS S WILLIAMS D MEAD IT, UHNT

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