Results 51 to 60 of about 43,566 (284)

Utility of Machine Learning and Radiomics Based on Cavity for Predicting the Therapeutic Response of MDR-TB [PDF]

, 2023
Xinna Lv,1,* Ye Li,1,* Botao Cai,2 Wei He,1 Ren Wang,1 Minghui Chen,1 Junhua Pan,1 Dailun Hou1 1Department of Radiology, Beijing Chest Hospital, Capital Medical University, Beijing, 101149, People’s Republic of China; 2Department of Radiology ...
Cai B, Li Y, Pan J, Wang R, Lv X, He W, Chen M, Hou D   +7 more
core  

TristramFeng/cSCI_radiomics: Radiomics Code [PDF]

<p>Radiomics code</p ...
TristramFeng
core   +1 more source

Radiomics and dosiomics for predicting radiation-induced hypothyroidism and guiding intensity-modulated radiotherapy

iScience, 2023
Summary: To guide individualized intensity-modulated radiotherapy (IMRT), we developed and prospectively validated a multiview radiomics risk model for predicting radiation-induced hypothyroidism in patients with nasopharyngeal carcinoma.
Shan-Shan Yang, Qing-He Peng, Ai-Qian Wu, Bao-Yu Zhang, Zhi-Qiao Liu, En-Ni Chen, Fang-Yun Xie, Pu-Yun OuYang, Chun-Yan Chen   +8 more
doaj   +1 more source

Towards reproducible radiomics research: introduction of a database for radiomics studies

European Radiology, 2023
Abstract Objectives To investigate the model-, code-, and data-sharing practices in the current radiomics research landscape and to introduce a radiomics research database. Methods A total of 1254 articles published between January 1, 2021, and December 31, 2022, in leading ...
Akinci D'Antonoli, Tugba, Cuocolo, Renato, Baessler, Bettina, Pinto Dos Santos, Daniel   +3 more
openaire   +3 more sources

Radiomics in colorectal cancer patients [PDF]

, 2023
The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant chemotherapy benefit in patients with a high risk of recurrence is challenging.
Maino C., Pisani A. R., Ippolito D., Cannella R., Cortese F., Gatti M., Giannini V., Vernuccio F., Giandola T., Faletti R., Dezio M., Inchingolo R.   +11 more
core   +1 more source

A CT-based radiomics approach to predict intra-tumoral tertiary lymphoid structures and recurrence of intrahepatic cholangiocarcinoma

Insights into Imaging, 2023
Purpose To predict the tertiary lymphoid structures (TLSs) status and recurrence-free survival (RFS) of intrahepatic cholangiocarcinoma (ICC) patients using preoperative CT radiomics.
Ying Xu, Zhuo Li, Yi Yang, Lu Li, Yanzhao Zhou, Jingzhong Ouyang, Zhen Huang, Sicong Wang, Lizhi Xie, Feng Ye, Jinxue Zhou, Jianming Ying, Hong Zhao, Xinming Zhao   +13 more
doaj   +1 more source

Development of a MRI-Based Radiomics Nomogram for Prediction of Response of Patients With Muscle-Invasive Bladder Cancer to Neoadjuvant Chemotherapy

Frontiers in Oncology, 2022
ObjectiveTo develop and evaluate the performance of a magnetic resonance imaging (MRI)-based radiomics nomogram for prediction of response of patients with muscle-invasive bladder cancer (MIBC) to neoadjuvant chemotherapy (NAC).MethodsA total of 70 ...
Xinxin Zhang, Yichen Wang, Jin Zhang, Lianyu Zhang, Sicong Wang, Yan Chen   +5 more
doaj   +1 more source

ABVS-Based Radiomics for Early Predicting the Efficacy of Neoadjuvant Chemotherapy in Patients with Breast Cancers [PDF]

, 2023
Wei Jiang, Xiaofei Deng, Ting Zhu, Jing Fang, Jinyao Li Department of Ultrasound, Huazhong University of Science and Technology Union Shenzhen Hospital (Nanshan Hospital), Shenzhen, Guangdong province, People’s Republic of ChinaCorrespondence: Wei Jiang,
Fang J, Li J, Jiang W, Deng X, Zhu T
core  

Three-Dimensional Radiomics Features From Multi-Parameter MRI Combined With Clinical Characteristics Predict Postoperative Cerebral Edema Exacerbation in Patients With Meningioma

Frontiers in Oncology, 2021
BackgroundPostoperative cerebral edema is common in patients with meningioma. It is of great clinical significance to predict the postoperative cerebral edema exacerbation (CEE) for the development of individual treatment programs in patients with ...
Bing Xiao, Yanghua Fan, Zhe Zhang, Zilong Tan, Huan Yang, Wei Tu, Lei Wu, Xiaoli Shen, Hua Guo, Zhen Wu, Xingen Zhu   +10 more
doaj   +1 more source

Tensor Radiomics: Paradigm for Systematic Incorporation of Multi-Flavoured Radiomics Features

SSRN Electronic Journal, 2022
Radiomics features extract quantitative information from medical images, towards the derivation of biomarkers for clinical tasks, such as diagnosis, prognosis, or treatment response assessment. Different image discretization parameters (e.g. bin number or size), convolutional filters, segmentation perturbation, or multi-modality fusion levels can be ...
Arman Rahmim, Amirhosein Toosi, Mohammad R. Salmanpour, Natalia Dubljevic, Ian Janzen, Isaac Shiri, Mohamad A. Ramezani, Ren Yuan, Cheryl Ho, Habib Zaidi, Calum MacAulay, Carlos F. Uribe, Fereshteh Yousefirizi   +12 more
openaire   +3 more sources