Forskning
Udskriv Udskriv
Switch language
Region Hovedstaden - en del af Københavns Universitetshospital
Udgivet

Report on computational assessment of Tumor Infiltrating Lymphocytes from the International Immuno-Oncology Biomarker Working Group

Publikation: Bidrag til tidsskriftReviewpeer review

DOI

  1. Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Association of germline variation with the survival of women with BRCA1/2 pathogenic variants and breast cancer

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. The Prosigna 50-gene profile and responsiveness to adjuvant anthracycline-based chemotherapy in high-risk breast cancer patients

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  4. The FANCM:p.Arg658* truncating variant is associated with risk of triple-negative breast cancer

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  5. The evidence that motivated an independent review of breast cancer

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  1. Prognostic value of histopathological DCIS features in a large-scale international interrater reliability study

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  2. Synchronous bilateral breast cancer: a nationwide study on histopathology and etiology

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  3. Pitfalls in assessing stromal tumor infiltrating lymphocytes (sTILs) in breast cancer

    Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review

  • International Immuno-Oncology Biomarker Working Group
Vis graf over relationer

Assessment of tumor-infiltrating lymphocytes (TILs) is increasingly recognized as an integral part of the prognostic workflow in triple-negative (TNBC) and HER2-positive breast cancer, as well as many other solid tumors. This recognition has come about thanks to standardized visual reporting guidelines, which helped to reduce inter-reader variability. Now, there are ripe opportunities to employ computational methods that extract spatio-morphologic predictive features, enabling computer-aided diagnostics. We detail the benefits of computational TILs assessment, the readiness of TILs scoring for computational assessment, and outline considerations for overcoming key barriers to clinical translation in this arena. Specifically, we discuss: 1. ensuring computational workflows closely capture visual guidelines and standards; 2. challenges and thoughts standards for assessment of algorithms including training, preanalytical, analytical, and clinical validation; 3. perspectives on how to realize the potential of machine learning models and to overcome the perceptual and practical limits of visual scoring.

OriginalsprogEngelsk
TidsskriftCurrent Medical Literature. Breast Cancer
Vol/bind6
Udgave nummer1
Sider (fra-til)16
ISSN2374-4677
DOI
StatusUdgivet - 2020

Bibliografisk note

© The Author(s) 2020.

ID: 62371544