Az emlőrák patológiai diagnosztikája, feldolgozása és kórszövettani leletezése. Szakmai útmutatás az V. Emlőrák Konszenzus Konferencia alapján [Pathological diagnosis, work-up and reporting of breast cancer. Recommendations of the 5th Hungarian Consensus Conference on Breast Cancer] [Pathological diagnosis, work-up and reporting of breast cancer. Recommendations of the 5th Hungarian Consensus Conference on Breast Cancer] /

Following a wide interdisciplinary consultation, the present recommendations have been finalized after their public discussion at the 5th Hungarian Consensus Conference on Breast Cancer. The recommendations cover non-operative, intraoperative and postoperative diagnostics, the determination of progn...

Teljes leírás

Elmentve itt :
Bibliográfiai részletek
Szerzők: Cserni Gábor
Papp Eszter
Járay Balázs
Kálmán Endre
Krenács Tibor
Tóth Erika
Török Miklós
Udvarhelyi Nóra
Vörös András
Kulka Janina
Dokumentumtípus: Cikk
Megjelent: 2025
Sorozat:MAGYAR ONKOLÓGIA 69 No. 3
Tárgyszavak:
mtmt:36361476
Online Access:http://publicatio.bibl.u-szeged.hu/39827
Leíró adatok
Tartalmi kivonat:Following a wide interdisciplinary consultation, the present recommendations have been finalized after their public discussion at the 5th Hungarian Consensus Conference on Breast Cancer. The recommendations cover non-operative, intraoperative and postoperative diagnostics, the determination of prognostic and predictive markers and the content of the cytology and histology reports. Furthermore, it touches some special issues such as the current status of multigene molecular markers, the role of pathologists in clinical trials and prerequisites for their involvement. The most important changes include the integration of the ASCO/CAP HER2 assessment guidelines from 2023, the reformulation of the role of cytology in breast cancer diagnostics, diagnostic categories of non-operative lymph node assessment, and the revision of PD-L1 assessment related information. The recommendations include the core and non-core elements of the ICCR (International Collaboration on Cancer Reporting) breast cancer related datasets.
Terjedelem/Fizikai jellemzők:243-274
ISSN:0025-0244