Results 11 to 20 of about 42,977 (292)
British Journal of Radiology, 2020 Historically, medical imaging has been a qualitative or semi-quantitative modality. It is difficult to quantify what can be seen in an image, and to turn it into valuable predictive outcomes, As a result of advances in both computational hardware and machine learning algorithms, computers are making great strides in obtaining quantitative information ...
Robert J. Gillies +2 more
+6 more sources
KYAMC Journal, 2019 Abstract not available KYAMC Journal Vol.
Farzad Khalvati +3 more
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Introduction to Radiomics [PDF]
Journal of Nuclear Medicine, 2020 Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative metrics-the so-called radiomic features-within medical images. Radiomic features capture tissue and lesion characteristics such as heterogeneity and shape and may, alone or in combination with demographic, histologic, genomic, or proteomic data, be used for ...
Marius E, Mayerhoefer +6 more
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, 2018 Recent advances in image-guided and adaptive radiotherapy have ushered new requirements for using single and/or multiple-imaging modalities in staging, treatment planning, and predicting response of different cancer types. Quantitative information analysis from multi-imaging modalities, known as ‘radiomics', have generated great promises to unravel ...
Julie Constanzo, Issam El Naqa
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State of Radiomics in Glioblastoma [PDF]
Neurosurgery, 2021 Abstract Radiomics is an emerging discipline that aims to make intelligent predictions and derive medical insights based on quantitative features extracted from medical images as a means to improve clinical diagnosis or outcome. Pertaining to glioblastoma, radiomics has provided powerful, noninvasive tools for gaining insights into ...
Birra Taha +3 more
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Radiomics analysis for predicting malignant cerebral edema in patients undergoing endovascular treatment for acute ischemic stroke [PDF]
, 2023 PURPOSERadiomics analysis is a promising image analysis technique. This study aims to extract a radiomics signature from baseline computed tomography (CT) to predict malignant cerebral edema (MCE) in patients with acute anterior circulation infarction ...
Junfa Chen +3 more
core +1 more source
Dynamic magnetic resonance imaging of muscle contraction in facioscapulohumeral muscular dystrophy
Scientific Reports, 2022 Quantitative muscle MRI (water-T2 and fat mapping) is being increasingly used to assess disease involvement in muscle disorders, while imaging techniques for assessment of the dynamic and elastic muscle properties have not yet been translated into ...
Xeni Deligianni +11 more
doaj +1 more source
Radiomics signature as a new biomarker for preoperative prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer [PDF]
, 2021 PURPOSEWhether radiomics methods are useful in prediction of therapeutic response to neoadjuvant chemoradiotherapy (nCRT) is unclear. This study aimed to investigate multiple magnetic resonance imaging (MRI) sequence-based radiomics methods in evaluating
Rui Zhang +5 more
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Tomography, 2022 Amide proton transfer (APT)-weighted MRI is a promising molecular imaging technique that has been employed in clinic for detection and grading of brain tumors. MTRasym, the quantification method of APT, is easily influenced by B0 inhomogeneity and causes
Yibing Chen +5 more
doaj +1 more source
Radiomics for liver tumours [PDF]
Strahlentherapie und Onkologie, 2020 AbstractCurrent research, especially in oncology, increasingly focuses on the integration of quantitative, multiparametric and functional imaging data. In this fast-growing field of research, radiomics may allow for a more sophisticated analysis of imaging data, far beyond the qualitative evaluation of visible tissue changes.
Constantin Dreher +3 more
openaire +3 more sources