Results 41 to 50 of about 48,979 (300)

Application of radiomics in predicting the preoperative risk stratification of gastric stromal tumors [PDF]

, 2022
PURPOSEThe stomach is the most common site of gastrointestinal stromal tumors (GISTs). In this study, clinical model, radiomics models, and nomogram were constructed to compare and assess the clinical value of each model in predicting the preoperative ...
Gao-Feng Shi, Yang Li, Chun-Ran Zhang, Li Yang, Jia-Liang Ren, Chong-Fei Ma   +5 more
core   +1 more source

Radiomics Analysis for Predicting Epilepsy in Patients With Unruptured Brain Arteriovenous Malformations

Frontiers in Neurology, 2021
Objectives: To investigate the association between radiomics features and epilepsy in patients with unruptured brain arteriovenous malformations (bAVMs) and to develop a prediction model based on radiomics features and clinical characteristics for bAVM ...
Shaozhi Zhao, Shaozhi Zhao, Qi Zhao, Yuming Jiao, Yuming Jiao, Hao Li, Hao Li, Jiancong Weng, Jiancong Weng, Ran Huo, Ran Huo, Jie Wang, Jie Wang, Hongyuan Xu, Hongyuan Xu, Junze Zhang, Junze Zhang, Yan Li, Zhenzhou Wu, Shuo Wang, Shuo Wang, Yong Cao, Yong Cao, Jizong Zhao, Jizong Zhao   +24 more
doaj   +1 more source

Predicting Treatment Response to Neoadjuvant Chemoradiotherapy in Rectal Mucinous Adenocarcinoma Using an MRI-Based Radiomics Nomogram

Frontiers in Oncology, 2021
ObjectiveTo build and validate an MRI-based radiomics nomogram to predict the therapeutic response to neoadjuvant chemoradiotherapy (nCRT) in rectal mucinous adenocarcinoma (RMAC).MethodsTotally, 92 individuals with pathologically confirmed RMAC ...
Zhihui Li, Shuai Li, Shuqin Zang, Xiaolu Ma, Fangying Chen, Yuwei Xia, Liuping Chen, Fu Shen, Yong Lu, Jianping Lu   +9 more
doaj   +1 more source

Integrated Assessment of Sarcopenia in Patients with Gastric Cancer Using Deep Learning and Radiomics. [PDF]

J Cachexia Sarcopenia Muscle
ABSTRACT Background Sarcopenia is a common condition in patients with gastric cancer that is associated with poor survival and adverse clinical outcomes. Conventional diagnostic approaches are time‐consuming, limiting large‐scale clinical implementation.
Zhi H, Zheng J, Chen H, Yang X, Jiang Z, Shi A, Wu D, Lv L, He J, Chen X, Pan B, Shen X, Zhang W.   +12 more
europepmc   +2 more sources

Radiomics in the diagnosis of glioblastoma

Polish Journal of Radiology, 2023
Radiomics is a process of extracting many quantitative data obtained from medical images and analysing them. In neuroradiology it may be used to discover magnetic resonance imaging (MRI) features of glioblastomas that are impossible to identify by human vision alone.
Kwiatkowska-Miernik, Agnieszka, Mruk, Bartosz, Sklinda, Katarzyna, Zaczyński, Artur, Walecki, Jerzy   +4 more
openaire   +2 more sources

Uncontrolled Confounders May Lead to False or Overvalued Radiomics Signature: A Proof of Concept Using Survival Analysis in a Multicenter Cohort of Kidney Cancer

Frontiers in Oncology, 2021
PurposeWe aimed to explore potential confounders of prognostic radiomics signature predicting survival outcomes in clear cell renal cell carcinoma (ccRCC) patients and demonstrate how to control for them.Materials and MethodsPreoperative contrast ...
Lin Lu, Firas S. Ahmed, Oguz Akin, Lyndon Luk, Xiaotao Guo, Hao Yang, Jin Yoon, A. Aari Hakimi, Lawrence H. Schwartz, Binsheng Zhao   +9 more
doaj   +1 more source

18F-FDG PET/CT-based radiomics nomogram could predict bone marrow involvement in pediatric neuroblastoma

Insights into Imaging, 2022
Objective To develop and validate an 18F-fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT)-based radiomics nomogram for non-invasively prediction of bone marrow involvement (BMI) in pediatric neuroblastoma.
Lijuan Feng, Xu Yang, Xia Lu, Ying Kan, Chao Wang, Dehui Sun, Hui Zhang, Wei Wang, Jigang Yang   +8 more
doaj   +1 more source

The predictive value of radiomics-based machine learning for peritoneal metastasis in gastric cancer patients: a systematic review and meta-analysis

Frontiers in Oncology, 2023
BackgroundFor patients with gastric cancer (GC), effective preoperative identification of peritoneal metastasis (PM) remains a severe challenge in clinical practice. Regrettably, effective early identification tools are still lacking up to now.
Fan Zhang, Guoxue Wu, Nan Chen, Ruyue Li
doaj   +1 more source

Applications and limitations of radiomics [PDF]

Physics in Medicine and Biology, 2016
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. Radiomic features have recently drawn considerable interest due to its potential predictive power for treatment outcomes and cancer genetics, which may have important applications in personalized ...
Stephen S F, Yip, Hugo J W L, Aerts
openaire   +2 more sources

Integrated Hyperparameter Optimization with Dimensionality Reduction and Clustering for Radiomics: A Bootstrapped Approach

Multimodal Technologies and Interaction
Radiomics involves extracting quantitative features from medical images, resulting in high-dimensional data. Unsupervised clustering has been used to discover patterns in radiomic features, potentially yielding hidden biological insights.
S. J. Pawan, Matthew Muellner, Xiaomeng Lei, Mihir Desai, Bino Varghese, Vinay Duddalwar, Steven Y. Cen   +6 more
doaj   +1 more source