Zobrazeno 1 - 10
of 281
pro vyhledávání: '"Radiomics analysis"'
Publikováno v:
BMC Medical Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background This study was designed to develop a combined radiomics nomogram to preoperatively predict the risk categorization of thymomas based on contrast-enhanced computed tomography (CE-CT) images. Materials The clinical and CT data of 17
Externí odkaz:
https://doaj.org/article/82639b01d1154e189582b08e656001f2
Autor:
Ming Fan, Kailang Wang, Da Pan, Xuan Cao, Zhihao Li, Songlin He, Sangma Xie, Chao You, Yajia Gu, Lihua Li
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background Breast cancer patients exhibit various response patterns to neoadjuvant chemotherapy (NAC). However, it is uncertain whether diverse tumor response patterns to NAC in breast cancer patients can predict survival outcomes. We aimed
Externí odkaz:
https://doaj.org/article/db36ec96d1cc48a28da718a564632fa2
Autor:
Liang Yin, Yun Zhang, Xi Wei, Zakari Shaibu, Lingling Xiang, Ting Wu, Qing Zhang, Rong Qin, Xiuhong Shan
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
PurposeThis study aims to evaluate the utility of radiomic features from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) in distinguishing HER2-low from HER2-zero breast cancer.Patients and methodsWe retrospectively analyzed 118 MRI ca
Externí odkaz:
https://doaj.org/article/65786921615145fe92fa12874d6d74eb
Autor:
TingDan Hu, Jing Gong, YiQun Sun, MengLei Li, ChongPeng Cai, XinXiang Li, YanFen Cui, XiaoYan Zhang, Tong Tong
Publikováno v:
MedComm, Vol 5, Iss 7, Pp n/a-n/a (2024)
Abstract Our study investigated whether magnetic resonance imaging (MRI)‐based radiomics features could predict good response (GR) to neoadjuvant chemoradiotherapy (nCRT) and clinical outcome in patients with locally advanced rectal cancer (LARC).
Externí odkaz:
https://doaj.org/article/e21fff32b91f44f6b42027bda0859ca2
Publikováno v:
BMC Cancer, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background Pseudo-computed tomography (pCT) quality is a crucial issue in magnetic resonance image (MRI)-only brain stereotactic radiotherapy (SRT), so this study systematically evaluated it from the multi-modal radiomics perspective. Method
Externí odkaz:
https://doaj.org/article/1bd9486dfe6e40dda54d1e44011bfa7f
Autor:
Haiyang Zhang, Mengda Jiang, Hoi Chi Chan, Huijie Zhang, Jiashuo Xu, Yuting Liu, Ling Zhu, Xiaofeng Tao, Duojin Xia, Lei Zhou, Yinwei Li, Jing Sun, Xuefei Song, Huifang Zhou, Xianqun Fan
Publikováno v:
Journal of Translational Medicine, Vol 22, Iss 1, Pp 1-14 (2024)
Abstract Background Radiomics analysis of orbital magnetic resonance imaging (MRI) shows preliminary potential for intravenous glucocorticoid (IVGC) response prediction of thyroid eye disease (TED). The current region of interest segmentation contain
Externí odkaz:
https://doaj.org/article/b0d0e3db93e64d5988f71bb8983b53ec
Publikováno v:
Cancer Imaging, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Objectives This study aims to develop a model based on intratumoral and peritumoral radiomics from fat-suppressed T2-weighted(FS-T2WI) images to predict the histopathological grade of soft tissue sarcoma (STS). Methods This retrospective stu
Externí odkaz:
https://doaj.org/article/80b8d2ef446847d797739cfc60f6d0f0
Autor:
Hasan Erturk, Mehmet Bilgin Eser, Aysenur Buz Yaşar, Muzaffer Ayaz, Basak Atalay, Mehmet Tarık Tatoglu, Ismail Caymaz
Publikováno v:
The Egyptian Journal of Radiology and Nuclear Medicine, Vol 54, Iss 1, Pp 1-8 (2023)
Abstract Background Fluorodeoxyglucose positron emission tomography (PET)–computed tomography (CT) is preferred for pretreatment staging and treatment planning in patients with lymphoma. This study aims to train and validate the neural networks (NN
Externí odkaz:
https://doaj.org/article/5597116596e94d70ae86b0309b6fdcdc
Autor:
Wei Jiang, Xianpan Pan, Qunzhi Luo, Shiqi Huang, Yuhong Liang, Xixi Zhong, Xianjie Zhang, Wei Deng, Yaping Lv, Lei Chen
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
ObjectiveTo utilize radiomics analysis on dual-energy CT images of the pancreas to establish a quantitative imaging biomarker for type 2 diabetes mellitus.Materials and methodsIn this retrospective study, 78 participants (45 with type 2 diabetes mell
Externí odkaz:
https://doaj.org/article/b4f267f9cb4b4ab0a5afdd25022f355d
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectivesThis study aimed to evaluate the effectiveness of radiomics analysis with R2* maps in predicting early recurrence (ER) in single hepatocellular carcinoma (HCC) following partial hepatectomy.MethodsWe conducted a retrospective analysis invol
Externí odkaz:
https://doaj.org/article/86a0da31594c477e9c051e6e9e3740d4