Shudong Hu
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Explore the profile of Shudong Hu including associated specialties, affiliations and a list of published articles.
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Articles
65
Citations
394
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Recent Articles
1.
Hu L, Zhang J, Wu X, Xu W, Wang Z, Zhang H, et al.
PLoS One
. 2025 Mar;
20(3):e0314601.
PMID: 40063894
Objective: To develop a non-contrast CT based multi-regional radiomics model for predicting contrast medium (CM) extravasation in patients with tumors. Methods: A retrospective analysis of non-contrast CT scans from 282...
2.
Dong J, Xu L, Qu A, Hao C, Sun M, Xu C, et al.
Adv Mater
. 2025 Feb;
:e2418723.
PMID: 39924754
Chiral nanomaterials are widely investigated over recent decades due to their biocompatibility and unique chiral effects. These key properties have significantly promoted the rapid development of chiral nanomaterials in bioengineering...
3.
Hong T, Zhang H, Zhao Q, Liu L, Sun J, Hu S, et al.
Acad Radiol
. 2025 Feb;
PMID: 39922745
Rationale And Objectives: To develop and validate a computed tomography-based radiomics nomogram for cancer-specific survival (CSS) prediction in curatively resected colorectal cancer (CRC), and its performance was compared with the...
4.
Chen S, Dai J, Zhao J, Han S, Zhang X, Chang J, et al.
Korean J Radiol
. 2025 Feb;
26(2):135-145.
PMID: 39898394
Objective: To explore the feasibility of synthetic magnetic resonance imaging (syMRI) combined with clinicopathological characteristics for the pre-treatment prediction of chemoradiotherapy (CRT) response in advanced nasopharyngeal carcinoma (ANPC). Materials And...
5.
Zhao Z, Wang H, Wu D, Zhu Q, Tan X, Hu S, et al.
Med Biol Eng Comput
. 2025 Jan;
PMID: 39833600
In computer-aided diagnosis systems, precise feature extraction from CT scans of colorectal cancer using deep learning is essential for effective prognosis. However, existing convolutional neural networks struggle to capture long-range...
6.
Wang X, Zhang H, Fan H, Yang X, Fan J, Wu P, et al.
Cancers (Basel)
. 2024 Dec;
16(23).
PMID: 39682228
Background: Central lymph node metastasis (CLNM) in papillary thyroid cancer (PTC) significantly influences surgical decision-making strategies. Objectives: This study aims to develop a predictive model for CLNM in PTC patients...
7.
8.
Huang H, Wu Q, Qiao H, Chen S, Hu S, Wen Q, et al.
Magn Reson Imaging
. 2024 Dec;
116:110293.
PMID: 39631483
Object: To develop and validate a nomogram for predicting recurrence in individuals suffering single hepatocellular carcinoma (HCC) after curative hepatectomy. Material And Methods: A retrospective analysis was conducted on 189...
9.
Lu W, Zhong Y, Yang X, Ge Y, Zhang H, Chen X, et al.
J Imaging Inform Med
. 2024 Nov;
PMID: 39528880
The objective of the study is to assess the clinical value of machine learning radiomics based on contrast-enhanced computed tomography (CECT) images in preoperative prediction of perineural invasion (PNI) status...
10.
Wang Z, Dai Z, Zhou X, Dai J, Ge Y, Hu S
Insights Imaging
. 2024 Oct;
15(1):256.
PMID: 39446274
Objective: To assess the image quality of synthetic double inversion recovery (SyDIR) imaging and enhance the value of T2-weighted imaging (T2WI) in evaluating T stage for rectal cancer patients. Methods:...