Cargando…
Prognostic role of computed tomography-based, artificial intelligence-driven waist skeletal muscle volume in uterine endometrial carcinoma
OBJECTIVES: To investigate the impact of computed tomography (CT)-based, artificial intelligence-driven waist skeletal muscle volume on survival outcomes in patients with endometrial cancer. METHODS: We retrospectively identified endometrial cancer patients who received primary surgical treatment be...
Autores principales: | Kim, Se Ik, Chung, Joo Yeon, Paik, Haerin, Seol, Aeran, Yoon, Soon Ho, Kim, Taek Min, Kim, Hee Seung, Chung, Hyun Hoon, Cho, Jeong Yeon, Kim, Jae-Weon, Lee, Maria |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8688657/ https://www.ncbi.nlm.nih.gov/pubmed/34928453 http://dx.doi.org/10.1186/s13244-021-01134-y |
Ejemplares similares
-
Impact of Computed Tomography-Based, Artificial Intelligence-Driven Volumetric Sarcopenia on Survival Outcomes in Early Cervical Cancer
por: Han, Qingling, et al.
Publicado: (2021) -
Identification of Patients with Recurrent Epithelial Ovarian Cancer Who Will Benefit from More Than Three Lines of Chemotherapy
por: Seol, Aeran, et al.
Publicado: (2022) -
Female reproduction and abnormal uterine bleeding after COVID-19 vaccination
por: Paik, Haerin, et al.
Publicado: (2023) -
Sarcopenia: Clinical implications in ovarian cancer, diagnosis, etiology, and management
por: Seol, Aeran, et al.
Publicado: (2020) -
LYL1 gene amplification predicts poor survival of patients with uterine corpus endometrial carcinoma: analysis of the Cancer genome atlas data
por: Kim, Se Ik, et al.
Publicado: (2018)