Zobrazeno 1 - 10
of 492
pro vyhledávání: '"Endometrial neoplasm"'
Autor:
Yutaka Yoneoka, Tsukuru Amano, Akimasa Takahashi, Hiroki Nishimura, Mari Deguchi, Hiroyuki Yamanaka, Yuji Tanaka, Shunichiro Tsuji, Takashi Murakami
Publikováno v:
Obstetrics & Gynecology Science, Vol 67, Iss 6, Pp 534-540 (2024)
Objective There is no consensus on whether platinum doublet chemotherapy or lenvatinib and pembrolizumab (LEN/PEM) is superior for advanced or recurrent endometrial cancer. Thus, this study aimed to compare the prognosis and adverse events in patient
Externí odkaz:
https://doaj.org/article/5c615e4647264fd0be3c4d20c8cb21a7
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-7 (2024)
Abstract This study was conducted to re-evaluate the utility of subendometrial enhancement (SEE) in assessing the interface between the endometrium and myometrium. In total, 110 women who underwent pelvic magnetic resonance imaging (MRI) for non-endo
Externí odkaz:
https://doaj.org/article/daee8ad851d344ce867c8d63048dfff4
Publikováno v:
JAAD Case Reports, Vol 47, Iss , Pp 44-46 (2024)
Externí odkaz:
https://doaj.org/article/e223aadd84a14d3f85a9d5e57dc96215
Publikováno v:
Clinical and Experimental Obstetrics & Gynecology, Vol 51, Iss 7, p 169 (2024)
Objective: Endometrial cancer is the sixth most common cancer in women. Extensive studies have been conducted around the world to determine the risk factors of endometrial cancer. Although each of these studies provides useful findings, review studie
Externí odkaz:
https://doaj.org/article/ae8a5316f02049b48d0c7cf90dec835f
Autor:
Irene Iavarone, Rossella Molitierno, Pietro Fumiento, Maria Giovanna Vastarella, Stefania Napolitano, Maria Teresa Vietri, Pasquale De Franciscis, Carlo Ronsini
Publikováno v:
Medicina, Vol 60, Iss 3, p 486 (2024)
Background and Objectives: An extracellular vesicle is part of a class of submicron particles derived from cells, mediating cellular crosstalk through microRNA (miRNA). MiRNA is a group of RNA molecules, each of which consists of 15–22 nucleotides
Externí odkaz:
https://doaj.org/article/9d212c34a3fb43759106a48572660cc4
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Ju-Hyun Kim, Byung-Su Kwon, Hyojin Kim, Dong Hoon Suh, Kidong Kim, Yong Beom Kim, Jae Hong No
Publikováno v:
Taiwanese Journal of Obstetrics & Gynecology, Vol 61, Iss 3, Pp 415-421 (2022)
Objective: The prognostic implications of DNA mismatch repair protein (MMRP) have not been determined in endometrial cancer. Therefore, in this study, we aimed to evaluate the clinicopathologic characteristics of DNA MMRP deficiency in endometrial ca
Externí odkaz:
https://doaj.org/article/8b1d2f97bdbf419bb6201f4b42c0aadd
Autor:
Julie Andrea Dybvik, Kristine E. Fasmer, Sigmund Ytre-Hauge, Jenny Hild Aase Husby, Øyvind O. Salvesen, Ingunn Marie Stefansson, Camilla Krakstad, Jone Trovik, Ingfrid S. Haldorsen
Publikováno v:
Insights into Imaging, Vol 13, Iss 1, Pp 1-12 (2022)
Abstract Objectives To explore the diagnostic accuracy of preoperative magnetic resonance imaging (MRI)-derived tumor measurements for the prediction of histopathological deep (≥ 50%) myometrial invasion (pDMI) and prognostication in endometrial ca
Externí odkaz:
https://doaj.org/article/6536f23cbec84ac3ac5e3da64353fd8e
Autor:
Cristina Mitric, Marcus Q. Bernardini
Publikováno v:
Current Oncology, Vol 29, Iss 2, Pp 741-757 (2022)
Endometrial carcinoma (EC) is traditionally treated with surgery and adjuvant treatment depending on clinicopathological risk factors. The genomic analysis of EC in 2013 and subsequent studies using immunohistochemistry have led to the current EC mol
Externí odkaz:
https://doaj.org/article/c907366a29944a6d8e92d8d7ccb75e91
Autor:
Se Ik Kim, Joo Yeon Chung, Haerin Paik, Aeran Seol, Soon Ho Yoon, Taek Min Kim, Hee Seung Kim, Hyun Hoon Chung, Jeong Yeon Cho, Jae-Weon Kim, Maria Lee
Publikováno v:
Insights into Imaging, Vol 12, Iss 1, Pp 1-11 (2021)
Abstract 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 c
Externí odkaz:
https://doaj.org/article/f34a8aebfd8a4dc09c9130c20f956602