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Artificial Intelligence for Diagnosis and Gleason Grading of Prostate Cancer in Biopsies—Current Status and Next Steps

  • Kimmo Kartasalo
  • , Wouter Bulten
  • , Brett Delahunt
  • , Po Hsuan Cameron Chen
  • , Hans Pinckaers
  • , Henrik Olsson
  • , Xiaoyi Ji
  • , Nita Mulliqi
  • , Hemamali Samaratunga
  • , Toyonori Tsuzuki
  • , Johan Lindberg
  • , Mattias Rantalainen
  • , Carolina Wählby
  • , Geert Litjens
  • , Pekka Ruusuvuori
  • , Lars Egevad
  • , Martin Eklund*
  • *Tämän työn vastaava kirjoittaja

    Tutkimustuotos: Katsausartikkelivertaisarvioitu

    45 Sitaatiot (Scopus)
    14 Lataukset (Pure)

    Abstrakti

    Diagnosis and Gleason grading of prostate cancer in biopsies are critical for the clinical management of men with prostate cancer. Despite this, the high grading variability among pathologists leads to the potential for under- and overtreatment. Artificial intelligence (AI) systems have shown promise in assisting pathologists to perform Gleason grading, which could help address this problem. In this mini-review, we highlight studies reporting on the development of AI systems for cancer detection and Gleason grading, and discuss the progress needed for widespread clinical implementation, as well as anticipated future developments. Patient summary: This mini-review summarizes the evidence relating to the validation of artificial intelligence (AI)-assisted cancer detection and Gleason grading of prostate cancer in biopsies, and highlights the remaining steps required prior to its widespread clinical implementation. We found that, although there is strong evidence to show that AI is able to perform Gleason grading on par with experienced uropathologists, more work is needed to ensure the accuracy of results from AI systems in diverse settings across different patient populations, digitization platforms, and pathology laboratories.

    AlkuperäiskieliEnglanti
    Sivut687-691
    JulkaisuEuropean Urology Focus
    Vuosikerta7
    Numero4
    DOI - pysyväislinkit
    TilaJulkaistu - 2021
    OKM-julkaisutyyppiA2 Katsausartikkeli tieteellisessä aikakauslehdessä

    Rahoitus

    Funding/Support and role of the sponsor: This work was supported by the Swedish Research Council ( 2019-01466 , 2020-00692 and 2018-03056 ), the Swedish Cancer Society ( CAN 2018/741 and 200906PjF01H ), Academy of Finland grants #341967 , #334782 and #335976 , and Cancer Foundation Finland . The funders have no role in the collection, analysis, interpretation, manuscript writing, or decision to submit the manuscript.

    YK:n kestävän kehityksen tavoitteet

    Tämä tuotos edistää seuraavia kestävän kehityksen tavoitteita:

    1. SDG 3 – Hyvä terveys ja hyvinvointi
      SDG 3 – Hyvä terveys ja hyvinvointi

    Julkaisufoorumi-taso

    • Jufo-taso 1

    !!ASJC Scopus subject areas

    • Urology

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