Endometrial Cancer: 2023 Revised FIGO Staging System and the Role of Imaging
by
and
Manuel Menendez-Santos
1,*, 
Carlos Gonzalez-Baerga
1,
Daoud Taher
2,
Rebecca Waters
2,
Mayur Virarkar
1 and
Priya Bhosale
2 1
Department of Radiology, University of Florida College of Medicine-Jacksonville, Jacksonville, FL 32209, USA
2
Department of Radiology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA
*
Author to whom correspondence should be addressed.
Cancers 2024, 16(10), 1869; https://doi.org/10.3390/cancers16101869
Submission received: 25 March 2024
/
Revised: 2 May 2024
/
Accepted: 10 May 2024
/
Published: 14 May 2024
(This article belongs to the Section Cancer Causes, Screening and Diagnosis)
Simple Summary
Emerging endometrial cancer research allows for a better understanding of the natural progression of this disease. This, in turn, gives way to better strategies by which to identify and effectively treat endometrial cancer. The International Federation of Gynecology and Obstetrics (FIGO) uses this compendium of evolving research to establish and subsequently update a staging classification system for endometrial cancer. Imaging studies are crucial in the diagnosis of endometrial cancer, and with the most recent update to the FIGO endometrial cancer staging system, their role must be reviewed.
Abstract
The FIGO endometrial cancer staging system recently released updated guidance based on clinical evidence gathered after the previous version was published in 2009. Different imaging modalities are beneficial across various stages of endometrial cancer (EC) management. Additionally, ongoing research studies are aimed at improving imaging in EC. Gynecological cancer is a crucial element in the practice of a body radiologist. With a new staging system in place, it is important to address the role of radiology in the EC diagnostic pathway. This article is a comprehensive review of the changes made to the FIGO endometrial cancer staging system and the impact of imaging in the staging of this disease.
Keywords:
endometrial cancer; MRI; FIGO; molecular
