Results 41 to 50 of about 52,953 (291)
, 2022 The main aim of the present systematic review was a comprehensive overview of the Radiomics Quality Score (RQS)-based systematic reviews to highlight common issues and challenges of radiomics research application and evaluate the relationship between RQS
Fanni, Salvatore Claudio +8 more
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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 +9 more
doaj +1 more source
Applications and limitations of radiomics [PDF]
Physics in Medicine & Biology, 2016 Abstract 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 ...
Stephen S F, Yip, Hugo J W L, Aerts
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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 +4 more
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Radiomics with artificial intelligence: a practical guide for beginners [PDF]
, 2019 Radiomics is a relatively new word for the field of radiology, meaning the extraction of a high number of quantitative features from medical images. Artificial intelligence (AI) is broadly a set of advanced computational algorithms that basically learn ...
Ece Ateş +7 more
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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 +24 more
doaj +1 more source
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 +9 more
doaj +1 more source
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 +8 more
doaj +1 more source
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
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International Journal of Spine Surgery, 2023 Radiomics is an emerging approach to analyze clinical images with the purpose of revealing quantitative features that are unvisible to the naked eye. Radiomic features can be further combined with clinical data and genomic information to formulate prediction models using machine learning algorithms or manual statistical analysis.
Daniel, Alsoof +5 more
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