Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Shu-Hui Zhao"'
Publikováno v:
Journal of Ovarian Research, Vol 11, Iss 1, Pp 1-8 (2018)
Abstract Background To investigate MRI for differentiating benign from malignant sex cord-stromal tumors of the ovary (SCSTs) emphasizing on the value of diffusion-weighted (DW) magnetic resonance (MR) imaging. Methods This retrospective study includ
Externí odkaz:
https://doaj.org/article/936afbccce7847d087048e0e8ce33ea7
Autor:
Jiayi Zhang, Rui Zhang, Jinwei Qiang, Xin Gao, Haiming Li, Weijun Peng, Songqi Cai, Yajia Gu, Wei Xia, Yong'ai Li, Xiaojun Chen, Shu-Hui Zhao, Ruimin Li
Publikováno v:
European Radiology. 31:7855-7864
To develop a preoperative MRI-based radiomic-clinical nomogram for prediction of residual disease (RD) in patients with advanced high-grade serous ovarian carcinoma (HGSOC). In total, 217 patients with advanced HGSOC were enrolled from January 2014 t
Autor:
Shu Hui Zhao, Xiao Liang Ma, Jing Lu, Yong Ai Li, Jin Wei Qiang, Feng Hua Ma, Hai Ming Li, Song Qi Cai
Publikováno v:
Academic Radiology. 28:e77-e85
Rationale and Objectives To investigate the feasibility of apparent diffusion coefficient (ADC) histogram analysis of primary advanced high-grade serous ovarian cancer (HGSOC) to predict patient response to platinum-based chemotherapy. Materials and
Autor:
Feng Feng, Shu-Hui Zhao, Guofu Zhang, Xiaodong Wu, Song-Qi Cai, Perry J. Pickhardt, Rui Zhang, Junming Jian, Jiayi Zhang, Jingxuan Jiang, Jinwei Qiang, Xin Gao, Yong'ai Li, Guangwu Lin, Wei Xia, Keying Wang, Zhang He, Xingyu Zhao, Yan Zhang
Publikováno v:
European Radiology. 31:403-410
Epithelial ovarian cancers (EOC) can be divided into type I and type II according to etiology and prognosis. Accurate subtype differentiation can substantially impact patient management. In this study, we aimed to construct an MR image–based radiom
Autor:
Shu-Hui Zhao, Li Wang
Publikováno v:
Journal of Hainan Medical University, Vol 26, Iss 15, Pp 68-74 (2020)
Post-stroke depression (PSD) is one of the complications after stroke, with an incidence of about 31%. There are different opinions on the pathogenesis of PSD, but it is still unclear and needs further study. At present, in addition to clinical resea
Publikováno v:
Journal of Computer Assisted Tomography. 44:193-196
Purpose The aim of this study is to analyze retrospectively the computed tomography and magnetic resonance imaging (MRI) features of pediatric vaginal endodermal sinus tumor (EST) and rhabdomyosarcoma (RMS) in a case series. Methods Seven children wi
Autor:
Haiming Li, Shu-Hui Zhao, Zhang He, Yong'ai Li, Rui Zhang, Jinwei Qiang, Xiaodong Wu, Jiayi Zhang, Xin Gao, Song-Qi Cai, Junming Jian, Xingyu Zhao, Wei Xia
Publikováno v:
Journal of magnetic resonance imaging : JMRIReferences. 56(1)
Background Preoperative differentiation of borderline from malignant epithelial ovarian tumors (BEOT vs. MEOT) is challenging and can significantly impact surgical management. Purpose To develop a multiple instance convolutional neural network (MICNN
Publikováno v:
Experimental Animals
Serous borderline ovarian tumors (SBOTs) behave between benign cystadenomas and carcinomas, and the effective detection and clinical management of SBOTs remain clinical challenges. Because it is difficult to isolate and enrich borderline tumor cells,
Publikováno v:
European Journal of Radiology. 109:62-67
To investigate the magnetic resonance (MR) imaging morphological relationship between adnexal tumors and the ipsilateral ovaries to characterize the origin and malignancy of tumors.Clinical and MR imaging data of 496 adnexal tumors confirmed by histo
Autor:
Wenbin Guan, Lei Bao, Caiting Chu, Qiufeng Yin, Haiming Li, Dengbin Wang, Shu-Hui Zhao, Fan Sun
Publikováno v:
Journal of Ovarian Research, Vol 13, Iss 1, Pp 1-9 (2020)
Journal of Ovarian Research
Journal of Ovarian Research
Background To investigate the spectrum of CT and MRI findings of dysgerminoma of the ovary. Methods CT and MRI imaging of 12 patients with 13 histologically proven dysgerminomas of the ovary were retrospectively reviewed. Patients, ages ranged from 6