Xian-Ya Zhang
Overview
Explore the profile of Xian-Ya Zhang including associated specialties, affiliations and a list of published articles.
Author names and details appear as published. Due to indexing inconsistencies, multiple individuals may share a name, and a single author may have variations. MedLuna displays this data as publicly available, without modification or verification
Snapshot
Snapshot
Articles
11
Citations
35
Followers
0
Related Specialties
Related Specialties
Top 10 Co-Authors
Top 10 Co-Authors
Published In
Published In
Affiliations
Affiliations
Soon will be listed here.
Recent Articles
1.
Zhang X, Zhang D, Zhou W, Wang Z, Zhang C, Li J, et al.
Cancer Imaging
. 2025 Feb;
25(1):13.
PMID: 39948651
Background: To develop a model based on intra- and peritumoral radiomics features derived from B-mode ultrasound (BMUS), strain elastography (SE), and shear wave elastography (SWE) for cervical lymph node metastasis...
2.
Zhang X, Zhang D, Wang Z, Chen J, Ren J, Ma T, et al.
Med Phys
. 2024 Oct;
52(1):257-273.
PMID: 39475358
Background: Accurate preoperative prediction of cervical lymph node metastasis (LNM) for papillary thyroid carcinoma (PTC) patients is essential for disease staging and individualized treatment planning, which can improve prognosis and...
3.
Wei A, Tang Y, Tang S, Zhang X, Ren J, Shi L, et al.
Front Oncol
. 2024 Sep;
14:1421088.
PMID: 39281385
Objectives: This study aimed to explore the performance of a model based on Chinese Thyroid Imaging Reporting and Data Systems (C-TIRADS), clinical characteristics, and shear wave elastography (SWE) for the...
4.
Pan R, Zhang S, Zhang X, Xu T, Cui X, Li R, et al.
Front Oncol
. 2024 Sep;
14:1369900.
PMID: 39281376
Purpose: To develop a combined diagnostic model integrating the subclassification of the 2022 version of the American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) with carbohydrate antigen...
5.
Zhang D, Zhou W, Lu W, Qin X, Zhang X, Wang J, et al.
Acad Radiol
. 2024 Apr;
31(10):3917-3928.
PMID: 38658211
Rationale And Objectives: The aim of this study was to develop a deep learning radiomics nomogram (DLRN) based on B-mode ultrasound (BMUS) and color doppler flow imaging (CDFI) images for...
6.
Xu T, Zhang X, Yang N, Jiang F, Chen G, Pan X, et al.
Front Oncol
. 2024 Mar;
13:1252630.
PMID: 38495082
Kidney disease is a serious public health problem and various kidney diseases could progress to end-stage renal disease. The many complications of end-stage renal disease. have a significant impact on...
7.
Zhang D, Zhang X, Lu W, Liao J, Zhang C, Tang Q, et al.
Abdom Radiol (NY)
. 2024 Mar;
49(5):1419-1431.
PMID: 38461433
Purpose: To develop a contrast-enhanced ultrasound (CEUS) clinic-radiomics nomogram for individualized assessment of Ki-67 expression in hepatocellular carcinoma (HCC). Methods: A retrospective cohort comprising 310 HCC individuals who underwent preoperative...
8.
Ren J, Lin J, Lv W, Zhang X, Li X, Xu T, et al.
Acad Radiol
. 2024 Mar;
31(7):2739-2752.
PMID: 38453602
Rationale And Objectives: We aimed to compare superb microvascular imaging (SMI)-based radiomics methods, and contrast-enhanced ultrasound (CEUS)-based radiomics methods to the American College of Radiology Thyroid Imaging Reporting and Data...
9.
Zhang D, Zhang X, Duan Y, Dietrich C, Cui X, Zhang C
Med Ultrason
. 2023 Aug;
25(4):445-452.
PMID: 37632823
Over the past few years, developments in artificial intelligence (AI), especially in radiomics and deep learning, have enabled the extraction of pathophysiology-related information from varied medical imaging and are progressively...
10.
Zhang X, Wei Q, Wu G, Tang Q, Pan X, Chen G, et al.
Front Oncol
. 2023 Jun;
13:1197447.
PMID: 37333814
Ultrasound elastography (USE) provides complementary information of tissue stiffness and elasticity to conventional ultrasound imaging. It is noninvasive and free of radiation, and has become a valuable tool to improve...