Pathology Imagebase—a reference image database for standardization of pathology

The ISUP Pathology Imagebase Expert Panel

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Aims: Despite efforts to standardize histopathology practice through the development of guidelines, the interpretation of morphology is still hampered by subjectivity. We here describe Pathology Imagebase, a novel mechanism for establishing an international standard for the interpretation of pathology specimens. Methods and results: The International Society of Urological Pathology (ISUP) established a reference image database through the input of experts in the field. Three panels were formed, one each for prostate, urinary bladder and renal pathology, consisting of 24 international experts. Each of the panel members uploaded microphotographs of cases into a non-public database. The remaining 23 experts were asked to vote from a multiple-choice menu. Prior to and while voting, panel members were unable to access the results of voting by the other experts. When a consensus level of at least two-thirds or 16 votes was reached, cases were automatically transferred to the main database. Consensus was reached in a total of 287 cases across five projects on the grading of prostate, bladder and renal cancer and the classification of renal tumours and flat lesions of the bladder. The full database is available to all ISUP members at www.isupweb.org. Non-members may access a selected number of cases. Conclusions: It is anticipated that the database will assist pathologists in calibrating their grading, and will also promote consistency in the diagnosis of difficult cases.

Original languageEnglish (US)
Pages (from-to)677-685
Number of pages9
JournalHistopathology
Volume71
Issue number5
DOIs
StatePublished - Nov 1 2017

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Databases
Pathology
Politics
Urinary Bladder
Kidney
Kidney Neoplasms
Urinary Bladder Neoplasms
Prostate
Prostatic Neoplasms
Guidelines
Neoplasms

Keywords

  • database
  • diagnosis
  • grading
  • pathology
  • standardization

ASJC Scopus subject areas

  • Pathology and Forensic Medicine
  • Histology

Cite this

Pathology Imagebase—a reference image database for standardization of pathology. / The ISUP Pathology Imagebase Expert Panel.

In: Histopathology, Vol. 71, No. 5, 01.11.2017, p. 677-685.

Research output: Contribution to journalArticle

The ISUP Pathology Imagebase Expert Panel. / Pathology Imagebase—a reference image database for standardization of pathology. In: Histopathology. 2017 ; Vol. 71, No. 5. pp. 677-685.
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abstract = "Aims: Despite efforts to standardize histopathology practice through the development of guidelines, the interpretation of morphology is still hampered by subjectivity. We here describe Pathology Imagebase, a novel mechanism for establishing an international standard for the interpretation of pathology specimens. Methods and results: The International Society of Urological Pathology (ISUP) established a reference image database through the input of experts in the field. Three panels were formed, one each for prostate, urinary bladder and renal pathology, consisting of 24 international experts. Each of the panel members uploaded microphotographs of cases into a non-public database. The remaining 23 experts were asked to vote from a multiple-choice menu. Prior to and while voting, panel members were unable to access the results of voting by the other experts. When a consensus level of at least two-thirds or 16 votes was reached, cases were automatically transferred to the main database. Consensus was reached in a total of 287 cases across five projects on the grading of prostate, bladder and renal cancer and the classification of renal tumours and flat lesions of the bladder. The full database is available to all ISUP members at www.isupweb.org. Non-members may access a selected number of cases. Conclusions: It is anticipated that the database will assist pathologists in calibrating their grading, and will also promote consistency in the diagnosis of difficult cases.",
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AU - Kristiansen, Glen

AU - Leite, Katia R.M.

AU - Magi-Galluzzi, Cristina

AU - Pan, Chin Chen

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