Integrating Genetic Alterations and Histopathological Features for Enhanced Risk Stratification in Non-Muscle-Invasive Bladder Cancer
In multivariate Cox regression, MAI was the strongest predictor for PFS. Integrating genetic alterations and histopathological features may improve risk stratification in NMIBC.
Authors
- Emiel A. M. Janssen (ORCID: https://orcid.org/0000-0002-7760-5396)
- Einar Gudlaugsson (ORCID: https://orcid.org/0000-0003-2133-3958)
- Vebjørn Kvikstad (ORCID: https://orcid.org/0000-0003-2980-8217)
- Melinda Lillesand (ORCID: https://orcid.org/0000-0001-8898-1330)
- Marie Austdal (ORCID: https://orcid.org/0000-0001-7285-103X)
- Ivar Skaland (ORCID: https://orcid.org/0000-0002-3950-0729)
- Almaz Nigatu Tesfahun
- Sigmund Vegard Sperstad
- Aida Slewa Johannessen
Institutions
- Oslo University Hospital (NO)
- Stavanger University Hospital (NO)
- University of Stavanger (NO)
Publication Details
- Journal
- Diagnostics
- Published
- 2024-09-26
- DOI
- https://doi.org/10.3390/diagnostics14192137
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Helse Vest