Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Xi Sheng Liu"'
Publikováno v:
Journal of Computer Assisted Tomography; Sep/Oct2024, Vol. 48 Issue 5, p734-742, 9p
Publikováno v:
Diagnostic and Interventional Radiology, Vol 26, Iss 2, Pp 74-81 (2020)
PURPOSEWe aimed to investigate histogram analysis of diffusion kurtosis imaging (DKI) and conventional diffusion-weighted imaging (DWI) to distinguish between deep myometrial invasion and superficial myometrial invasion in endometrial carcinoma (EC).
Externí odkaz:
https://doaj.org/article/c5ad14116812485baef8a2f23a739559
Autor:
Degan Hao, Qiong Li, Qiu-Xia Feng, Liang Qi, Xi-Sheng Liu, Dooman Arefan, Yu-Dong Zhang, Shandong Wu
Publikováno v:
Frontiers in Oncology, Vol 11 (2022)
BackgroundGastric cancer is one of the leading causes of cancer death in the world. Improving gastric cancer survival prediction can enhance patient prognostication and treatment planning.MethodsIn this study, we performed gastric cancer survival pre
Externí odkaz:
https://doaj.org/article/04e835e8fff04596964665e7a97fa7b7
Publikováno v:
EClinicalMedicine, Vol 23, Iss , Pp 100379- (2020)
ABSTRACT: Background: Due to heterogeneity of hepatocellular carcinoma (HCC), outcome assessment of HCC with transarterial chemoembolization (TACE) is challenging. Methods: We built histologic-related scores to determine microvascular invasion (MVI)
Externí odkaz:
https://doaj.org/article/9979f1b294754adb8a3abf9233f3c958
Autor:
Shu Wen Sun, Xun Xu, Qiu Ping Liu, Jie Neng Chen, Fei Peng Zhu, Xi Sheng Liu, Yu Dong Zhang, Jie Wang
Publikováno v:
Medical Physics. 49:6903-6913
Presurgical assessment of hepatocellular carcinoma (HCC) aggressiveness can benefit patients' treatment options and prognosis.To develop an artificial intelligence (AI) tool, namely, LiSNet, in the task of scoring and interpreting HCC aggressiveness
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65954edb057fc0fb9df9882b5137a04a
https://doi.org/10.1002/mp.15972
https://doi.org/10.1002/mp.15972
Publikováno v:
Abdominal Radiology. 47:651-663
To develop a machine-learning model by integrating clinical and imaging modalities for predicting tumor response and survival of hepatocellular carcinoma (HCC) with transarterial chemoembolization (TACE).140 HCC patients with TACE were retrospectivel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::543213c0d49921e5478fb5ae543f1b26
https://doi.org/10.1007/s00261-021-03375-3
https://doi.org/10.1007/s00261-021-03375-3
Autor:
Qiong Li, Xi-Sheng Liu, Jing Zhang, Yu-Dong Zhang, Qiu-Xia Feng, Liang Qi, Chang Liu, Guang Yang
Publikováno v:
Abdominal Radiology. 47:496-507
Lymphovascular invasion (LVI) is a factor significantly impacting treatment and outcome of patients with gastric cancer (GC). We aimed to investigate prognostic aspects of a preoperative LVI prediction in GC using radiomics and deep transfer learning
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10e418380911ad555c03b2a01b0ee95f
https://doi.org/10.1007/s00261-021-03309-z
https://doi.org/10.1007/s00261-021-03309-z
Publikováno v:
Chinese Journal of Academic Radiology. 3:137-142
Retrospectively analyzing the CT features and human epidermal growth factor receptor 2 (HER2)-expression status of patients with pathologically proven gastric cancers to investigate the potential correlation between them. 433 patients with gastric ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::badb919ed07b25a2e9d6520cb7536a71
https://doi.org/10.1007/s42058-020-00041-3
https://doi.org/10.1007/s42058-020-00041-3
Autor:
Fangming Zhu, Bin Li, Xi‐sheng Liu, Chen-Yi Jiang, Jing Zhao, Ying‐li Gao, Yong-chuan Wang, Shu-jie Xia, Feng Xie, Bang-Min Han, Zi‐ye Zhang, Yu Zhang
Publikováno v:
Cancer Science
The androgen receptor (AR) pathway is critical for prostate cancer carcinogenesis and development; however, after 18‐24 months of AR blocking therapy, patients invariably progress to castration‐resistant prostate cancer (CRPC), which remains an u
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9831deb072d609ccc4059a67b8f22e31
https://doi.org/10.1111/cas.14280
https://doi.org/10.1111/cas.14280
Publikováno v:
Journal of computer assisted tomography. 46(2)
This study aimed to compare the computed tomography (CT) features of gastric and small bowel gastrointestinal stromal tumors (GISTs) and further identify the predictors for risk stratification of them, respectively.According to the modified National
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44fe1643fa37c11dc78e63819c1ddcb4
https://pubmed.ncbi.nlm.nih.gov/35297574
https://pubmed.ncbi.nlm.nih.gov/35297574