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Virchows Archiv

, Volume 459, Issue 2, pp 175–182 | Cite as

Interactive digital slides with heat maps: a novel method to improve the reproducibility of Gleason grading

  • Lars EgevadEmail author
  • Ferran Algaba
  • Daniel M. Berney
  • Liliane Boccon-Gibod
  • Eva Compérat
  • Andrew J. Evans
  • Rainer Grobholz
  • Glen Kristiansen
  • Cord Langner
  • Gina Lockwood
  • Antonio Lopez-Beltran
  • Rodolfo Montironi
  • Pedro Oliveira
  • Matthias Schwenkglenks
  • Ben Vainer
  • Murali Varma
  • Vincent Verger
  • Philippe Camparo
Original Article

Abstract

Our aims were to analyze reporting of Gleason pattern (GP) 3 and 4 prostate cancer with the ISUP 2005 Gleason grading and to collect consensus cases for standardization. We scanned 25 prostate biopsy cores diagnosed as Gleason score (GS) 6–7. Fifteen genitourinary pathologists graded the digital slides and circled GP 4 and 5 in a slide viewer. Grading difficulty was scored as 1–3. GP 4 components were classified as type 1 (cribriform), 2 (fused), or 3 (poorly formed glands). A GS of 5–6, 7 (3 + 4), 7 (4 + 3), and 8–9 was given in 29%, 41%, 19%, and 10% (mean GS 6.84, range 6.44–7.36). In 15 cases, at least 67% of observers agreed on GS groups (consensus cases). Mean interobserver weighted kappa for GS groups was 0.43. Mean difficulty scores in consensus and non-consensus cases were 1.44 and 1.66 (p = 0.003). Pattern 4 types 1, 2, and 3 were seen in 28%, 86%, and 67% of GP 4. All three coexisted in 16% (11% and 23% in consensus and non-consensus cases, p = 0.03). Average estimated and calculated %GP 4/5 were 29% and 16%. After individual review, the experts met to analyze diagnostic difficulties. Areas of GP 4 and 5 were displayed as heat maps, which were helpful for identifying contentious areas. A key problem was to agree on minimal criteria for small foci of GP 4. In summary, the detection threshold for GP 4 in NBX needs to be better defined. This set of consensus cases may be useful for standardization.

Keywords

Prostate cancer Biopsy Gleason grading Digital pathology Reproducibility Consensus 

Notes

Acknowledgment

Source of support: DMB is supported by Orchid.

Conflict of interest statement

We declare that we have no conflict of interest.

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Copyright information

© Springer-Verlag 2011

Authors and Affiliations

  • Lars Egevad
    • 1
    Email author
  • Ferran Algaba
    • 2
  • Daniel M. Berney
    • 3
  • Liliane Boccon-Gibod
    • 4
  • Eva Compérat
    • 5
  • Andrew J. Evans
    • 6
  • Rainer Grobholz
    • 7
  • Glen Kristiansen
    • 8
  • Cord Langner
    • 9
  • Gina Lockwood
    • 10
  • Antonio Lopez-Beltran
    • 11
  • Rodolfo Montironi
    • 12
  • Pedro Oliveira
    • 13
  • Matthias Schwenkglenks
    • 14
  • Ben Vainer
    • 15
  • Murali Varma
    • 16
  • Vincent Verger
    • 17
  • Philippe Camparo
    • 18
  1. 1.Department of Oncology-PathologyKarolinska InstitutetStockholmSweden
  2. 2.Fundacio Puigvert-University AutonomousBarcelonaSpain
  3. 3.Institute of Cancer, St Bartholomew’s Hospital, Queen MaryUniversity of LondonLondonUK
  4. 4.Hopital Armand TrousseauParisFrance
  5. 5.Hopital La Pitié-SalpetrièreParisFrance
  6. 6.University of TorontoTorontoCanada
  7. 7.Kantonsspital AarauAarauSwitzerland
  8. 8.University Hospital ZurichZurichSwitzerland
  9. 9.Medical University of GrazGrazAustria
  10. 10.Canadian Partnership Against CancerTorontoCanada
  11. 11.Cordoba University Medical SchoolCordobaSpain
  12. 12.Polytechnic University of the Marche RegionAnconaItaly
  13. 13.Hospital da LuzLisbonPortugal
  14. 14.University of BaselBaselSwitzerland
  15. 15.RigshospitaletCopenhagenDenmark
  16. 16.University Hospital of WalesCardiffUK
  17. 17.CCITIDijonFrance
  18. 18.Hopital FochParisFrance

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