Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Zhenchen, Zhu"'
Autor:
Lan Song, Hui Miao, Zhenchen Zhu, Huijuan Zhu, Jinhua Wang, Xiaoping Xing, Zhaohui Zhu, Yuanyuan Jiang, Ruie Feng, Yu Xiao, Lian Duan, Xin Sui, Qingxing Liu, Linjie Wang, Shi Chen, Wei Song, Zhengyu Jin, Lin Lu
Publikováno v:
Insights into Imaging, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Objectives Pulmonary neuroendocrine neoplasms (NENs) are the most frequent cause of ectopic adrenocorticotropic hormone syndrome (EAS); lung infection is common in EAS. An imaging finding of infection in EAS patients can mimic NENs. This ret
Externí odkaz:
https://doaj.org/article/a00622ef4a904f778b7f4769fc3851f4
Autor:
Zhoumeng Ying, Zhenchen Zhu, Ge Hu, Zhengsong Pan, Weixiong Tan, Wei Han, Zifeng Wu, Zhen Zhou, Jinhua Wang, Wei Song, Lan Song, Zhengyu Jin
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
BackgroundGiven the high prevalence of fibrotic interstitial lung abnormalities (ILAs) post-COVID-19, this study aims to evaluate the effectiveness of quantitative CT features in predicting fibrotic ILAs at 3-month follow-up.MethodsThis retrospective
Externí odkaz:
https://doaj.org/article/a0df7dc85aca4d29ab8a5dc4de8c338d
Autor:
Zhenchen Zhu, Ge Hu, Zhoumeng Ying, Jinhua Wang, Wei Han, Zhengsong Pan, Xinlun Tian, Wei Song, Xin Sui, Lan Song, Zhengyu Jin
Publikováno v:
Heliyon, Vol 10, Iss 7, Pp e27963- (2024)
Rationale and objectives: The computed tomography (CT) score has been used to evaluate the severity of COVID-19 during the pandemic; however, most studies have overlooked the impact of infection duration on the CT score. This study aimed to determine
Externí odkaz:
https://doaj.org/article/ac06fbc6201a40eab2e576a44f5c907b
Autor:
Fan Song, Lan Song, Tongtong Xing, Youdan Feng, Xiao Song, Peng Zhang, Tianyi Zhang, Zhenchen Zhu, Wei Song, Guanglei Zhang
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
ObjectivesTo establish a multi-classification model for precisely predicting the invasiveness (pre-invasive adenocarcinoma, PIA; minimally invasive adenocarcinoma, MIA; invasive adenocarcinoma, IAC) of lung adenocarcinoma manifesting as pure ground-g
Externí odkaz:
https://doaj.org/article/37858313d24941ffac49cfd2d0f8b0fd
Autor:
Lan Song, Zhenchen Zhu, Li Mao, Xiuli Li, Wei Han, Huayang Du, Huanwen Wu, Wei Song, Zhengyu Jin
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Objectives: To predict the anaplastic lymphoma kinase (ALK) mutations in lung adenocarcinoma patients non-invasively with machine learning models that combine clinical, conventional CT and radiomic features.Methods: This retrospective study included
Externí odkaz:
https://doaj.org/article/d40879e61efd4f8985c9beb8b7c671f0
Autor:
Lan Song, Zhengyu Jin, Guanglei Zhang, Wei Han, Huayang Du, Ji Li, Guangda Fan, Wei Song, Zhenchen Zhu, Tongtong Xing
Publikováno v:
Academic Radiology. 28:e267-e277
Rationale and Objectives To identify whether the radiomics features of computed tomography (CT) allowed for the preoperative discrimination of the invasiveness of lung adenocarcinomas manifesting as pure ground-glass nodules (pGGNs) and further to de
Publikováno v:
Radiology Science. 1
The incidence of pediatric wheeze is extremely high. Poor control of wheeze in young children affects lung function in adulthood and is closely associated with the occurrence of chronic obstructive pulmonary disease. Substantial efforts worldwide hav
Publikováno v:
Aperture neuro. 2
Subject motion during fMRI can affect our ability to accurately measure signals of interest. In recent years, frame censoring-that is, statistically excluding motion-contaminated data within the general linear model using nuisance regressors-has appe
Autor:
Zhenchen Zhu, Minjiang Chen, Ge Hu, Zhengsong Pan, Wei Han, Weixiong Tan, Zhen Zhou, Mengzhao Wang, Li Mao, Xiuli Li, Xin Sui, Lan Song, Yan Xu, Wei Song, Yizhou Yu, Zhengyu Jin
Publikováno v:
European radiology.
To develop a pre-treatment CT-based predictive model to anticipate inoperable lung cancer patients' progression-free survival (PFS) to immunotherapy.This single-center retrospective study developed and cross-validated a radiomic model in 185 patients
Autor:
Ji Li, Xin Cheng, Lan Song, Huanwen Wu, Jing Lei, Wei Song, Zhenchen Zhu, Zhengyu Jin, Wei Han, Xin Sui, Huayang Du
Publikováno v:
European Radiology. 31:2034-2047
To develop a nomogram to identify anaplastic lymphoma kinase (ALK) mutations in lung adenocarcinoma patients using clinical, CT, PET/CT, and histopathological features. This retrospective study included 399 lung adenocarcinoma patients (129 ALK-rearr