Zobrazeno 1 - 10
of 969
pro vyhledávání: '"SPACE INVASION"'
Autor:
Dong Liu, Jinyu Huang, Yufeng Zhang, Hailin Shen, Ximing Wang, Zhou Huang, Xue Chen, Zhenguo Qiao, Chunhong Hu
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-8 (2024)
Abstract Purpose To evaluate the predictive capabilities of MRI-based radiomics for detecting lymphovascular space invasion (LVSI) in patients diagnosed with endometrial carcinoma (EC). Materials and methods A retrospective analysis was conducted on
Externí odkaz:
https://doaj.org/article/1bd471354ad949ad84466eabdd5f86ef
Publikováno v:
Taiwanese Journal of Obstetrics & Gynecology, Vol 63, Iss 5, Pp 679-684 (2024)
Objective: Endometrial cancer (EC) is the most common gynecological malignancy in high-income countries. In Taiwan, the incidence of EC increased from 1.69 in 1980 to 11.36 per 100,000 women/year in 2010. Therefore, we aimed to study the prognostic f
Externí odkaz:
https://doaj.org/article/9b06bc448f65432a90b78a640019a84c
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Purpose To develop and validate a multiparametric magnetic resonance imaging (mpMRI)-based radiomics model for predicting lymph-vascular space invasion (LVSI) of cervical cancer (CC). Methods The data of 177 CC patients were retrospectively
Externí odkaz:
https://doaj.org/article/ca327725cd1b497fbcd382db0def4ec2
Autor:
Chongshuang Yang, Min Wu, Jiancheng Zhang, Hongwei Qian, Xiangyang Fu, Jing Yang, Yingbin Luo, Zhihong Qin, Tianliang Shi
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectiveThe objective of this meta-analysis is to assess the efficacy of radiomics techniques utilizing magnetic resonance imaging (MRI) for predicting lymphovascular space invasion (LVSI) in patients with cervical cancer (CC).MethodsA comprehensive
Externí odkaz:
https://doaj.org/article/b45c37b97dca426ba09dccea5fdbda72
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract This study aimed to identify factors that affect lymphovascular space invasion (LVSI) in endometrial cancer (EC) using machine learning technology, and to build a clinical risk assessment model based on these factors. Samples were collected
Externí odkaz:
https://doaj.org/article/9f589c53d141499d81fb757d6dfc1871
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundCervical cancer (CC) remains the second leading cause of cancer-related death in women, and the ability to accurately anticipate the presence or absence of lymphovascular space invasion (LVSI) is critical to maintaining optimal patient outc
Externí odkaz:
https://doaj.org/article/aac165cb2a674a598c3531a9438a6969
Autor:
Caner KÖSE, Mehmet Mutlu MEYDANLI
Publikováno v:
Bezmiâlem Science, Vol 11, Iss 3, Pp 254-259 (2023)
Objective:The study aimed to investigate the prognostic significance of lymph-vascular space invasion (LVSI) in patients with stage I endometrioid-type endometrial carcinoma (EC) and to determine its impact on overall survival (OS) and disease-free s
Externí odkaz:
https://doaj.org/article/522557ce54b644e8a47679f821888c15
Publikováno v:
Frontiers in Oncology, Vol 13 (2024)
BackgroundStudies evaluating the prognostic significance of lymphovascular space invasion (LVSI) in early stage endometrial cancer (EC) are conflicting.ObjectivesTo evaluate whether LVSI identified in stage I EC is associated with worse survival.Sear
Externí odkaz:
https://doaj.org/article/45cadec5259e4b3c923da06648b59a4c
Autor:
Changjun Ma, Ying Zhao, Qingling Song, Xing Meng, Qihao Xu, Shifeng Tian, Lihua Chen, Nan Wang, Qingwei Song, Liangjie Lin, Jiazheng Wang, Ailian Liu
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
PurposeTo develop and validate multi-parametric MRI (MP-MRI)-based radiomics models for the prediction of biological characteristics in endometrial cancer (EC).MethodsA total of 292 patients with EC were divided into LVSI (n = 208), DMI (n = 292), MS
Externí odkaz:
https://doaj.org/article/addc3b802cd247818f94d624a031b011
Publikováno v:
Current Oncology, Vol 29, Iss 12, Pp 9613-9629 (2022)
Pretherapeutic serological parameters play a predictive role in pathologic risk factors (PRF), which correlate with treatment and prognosis in cervical cancer (CC). However, the method of pre-operative prediction to PRF is limited and the clinical av
Externí odkaz:
https://doaj.org/article/c33c1567a93d4cca9adfb51801102287