Zobrazeno 1 - 10 of 17 pro vyhledávání: '"Zuhua Song"'
1
Akademický článek
Development and validation of a model for predicting the expression of Ki-67 in pancreatic ductal adenocarcinoma with radiological features and dual-energy computed tomography quantitative parameters
Autor: Youjia Wen, Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Jiayi Yu, Zongwen Li, Xiaofang Ren, Jiayan Zhang, Qian Liu, Jie Huang, Dan Zeng, Zhuoyue Tang
Publikováno v: Insights into Imaging, Vol 15, Iss 1, Pp 1-12 (2024)
Abstract Objective To construct and validate a model based on the dual-energy computed tomography (DECT) quantitative parameters and radiological features to predict Ki-67 expression levels in pancreatic ductal adenocarcinoma (PDAC). Materials and me
Externí odkaz: https://doaj.org/article/5fc993506c674e50b1bb247a50b4dcf7
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2
Akademický článek
Detection of malignant lesions in cytologically indeterminate thyroid nodules using a dual-layer spectral detector CT-clinical nomogram
Autor: Xiaofang Ren, Jiayan Zhang, Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Jiayi Yu, Zongwen Li, Youjia Wen, Dan Zeng, Xiaodi Zhang, Zhuoyue Tang
Publikováno v: Frontiers in Oncology, Vol 14 (2024)
PurposeTo evaluate the capability of dual-layer detector spectral CT (DLCT) quantitative parameters in conjunction with clinical variables to detect malignant lesions in cytologically indeterminate thyroid nodules (TNs).Materials and methodsData from
Externí odkaz: https://doaj.org/article/cc1dacfcb98c42f0834c7889dec21ca8
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3
Akademický článek
Nomogram based on spectral CT quantitative parameters and typical radiological features for distinguishing benign from malignant thyroid micro-nodules
Autor: Zuhua Song, Qian Li, Dan Zhang, Xiaojiao Li, Jiayi Yu, Qian Liu, Zongwen Li, Jie Huang, Xiaodi Zhang, Zhuoyue Tang
Publikováno v: Cancer Imaging, Vol 23, Iss 1, Pp 1-11 (2023)
Abstract Purpose To analyse the predictive effect of a nomogram combining dual-layer spectral computed tomography (DSCT) quantitative parameters with typical radiological features in distinguishing benign micro-nodule from thyroid microcarcinoma (TMC
Externí odkaz: https://doaj.org/article/bf3b54818bff4a6f9dc87104bef956fe
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4
Akademický článek
Feasibility of a CT-based lymph node radiomics nomogram in detecting lymph node metastasis in PDAC patients
Autor: Qian Li, Zuhua Song, Dan Zhang, Xiaojiao Li, Qian Liu, Jiayi Yu, Zongwen Li, Jiayan Zhang, Xiaofang Ren, Youjia Wen, Zhuoyue Tang
Publikováno v: Frontiers in Oncology, Vol 12 (2022)
ObjectivesTo investigate the potential value of a contrast enhanced computed tomography (CECT)-based radiological-radiomics nomogram combining a lymph node (LN) radiomics signature and LNs’ radiological features for preoperative detection of LN met
Externí odkaz: https://doaj.org/article/0a5b634357384be0ba20d415bac79151
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6
Akademický článek
Location-Specific Radiomics Score: Novel Imaging Marker for Predicting Poor Outcome of Deep and Lobar Spontaneous Intracerebral Hemorrhage
Autor: Zhiming Zhou, Hongli Zhou, Zuhua Song, Yuanyuan Chen, Dajing Guo, Jinhua Cai
Publikováno v: Frontiers in Neuroscience, Vol 15 (2021)
Objective: To derive and validate a location-specific radiomics score (Rad-score) based on noncontrast computed tomography for predicting poor deep and lobar spontaneous intracerebral hemorrhage (SICH) outcome.Methods: In total, 494 SICH patients fro
Externí odkaz: https://doaj.org/article/52d07c7ca3f64722a2e17204cb21d9b7
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8
A Novel CT-based Radiomics-Clinical Nomogram for the Prediction of Short-Term Prognosis in Deep Intracerebral Hemorrhage
Autor: Jinhua Cai, Yuanyuan Chen, Zuhua Song, Zhiming Zhou
Publikováno v: World Neurosurgery. 157:e461-e472
Objective To develop and validate a radiomics-clinical nomogram for the prediction of short-term prognosis in patients with deep intracerebral hemorrhage (DICH) on admission. Methods A total of 326 patients with DICH (development cohort = 187; testin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8d7af6f0f8294b8e8bd82c5e261a5c26
https://doi.org/10.1016/j.wneu.2021.10.129
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9
The application of 3-dimensional magnetic resonance imaging in nasopharyngeal carcinoma with pterygopalatine fossa invasion
Autor: Bi Zhou, Zhuoyue Tang, Liang Lv, Jiayi Yu, Xiaojiao Li, Chao Yang, Shifeng Xiang, Zuhua Song, Dan Zhang
Publikováno v: Magnetic resonance imaging. 96
The pterygopalatine fossa (PPF) is a covert neurovascular pathway in the skull base and connects with numerous intracranial and extracranial spaces. The aim of this study was to explore the magnetic resonance imaging (MRI) features of PPF invasion in
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4254fc2021b31ac14b436a7fafe3f79e
https://pubmed.ncbi.nlm.nih.gov/36372200
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10
Machine learning-based modified BAT score in predicting hematoma enlargement after spontaneous intracerebral hemorrhage
Autor: Zuhua Song, Hongli Zhou, Zhiming Zhou, Xin Li
Publikováno v: Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia. 93
Objective The BAT score is an easy-to-use prediction tool to detect hematoma enlargement after spontaneous intracerebral hemorrhage. Machine learning technique has potential predictive gains in accuracy over regression models. We sought to use machin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac39adeb100242d72c027180ed7f6a0d
https://pubmed.ncbi.nlm.nih.gov/34656249
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