Results 11 to 20 of about 52,953 (291)
A Computed Tomography Radiomics Approach for Assessing the T Cell‐Inflamed Gene Expression Profile in Hepatocellular Carcinoma and Its Association With Immunotherapy Response [PDF]
Health Care Science, EarlyView.The T cell‐inflamed gene expression profile (GEP) provides a biomarker for immunotherapy response across various cancers. We established a CT‐based radiomics model to predict the T cell‐inflamed GEP and immunotherapy response in hepatocellular carcinoma (HCC).
Mimi Tang +11 more
wiley +2 more sources
Diagnostics, 2023 In recent years, radiomics has been among the most impactful topics in the research field of quantitative imaging [...]
Zerunian, Marta +2 more
openaire +4 more sources
CT-based multi-station lymph-node radiomics for preoperative prediction of lymph node metastasis in colorectal cancer: a proof-of-concept comparison with primary-tumor radiomics [PDF]
European Radiology ExperimentalObjective Accurate preoperative prediction of lymph node metastasis (LNM) in colorectal cancer remains challenging using conventional CT assessment.
Zejin Lin +8 more
doaj +2 more sources
A Multi‐Structural Radiomic Digital Phenotyping Framework for Deciphering Preclinical Evolution of Degenerative Meniscal Tears [PDF]
Advanced Science, EarlyView.Subclinical matrix disruption precedes degenerative meniscal tears across the knee joint. A spatial compartmental radiomics model utilizing 3D‐DESS MRI captures early osteochondral destabilization, accurately predicting incident tears up to four years pre‐collapse. Feature attributions uncover coordinated chondral and osseous alterations, advancing non‐
Shengfa Li +13 more
wiley +2 more sources
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
CT radiomics and PET radiomics: ready for clinical implementation?
The Quarterly Journal of Nuclear Medicine and Molecular Imaging, 2019 Today, rapid technical and clinical developments result in an increasing number of treatment options for oncological diseases. Thus, decision support systems are needed to offer the right treatment to the right patient. Imaging biomarkers hold great promise in patient-individual treatment guidance. Routinely performed for diagnosis and staging, imaging
Bogowicz, Marta +7 more
openaire +5 more sources
KYAMC Journal, 2019 Abstract not available KYAMC Journal Vol.
Farzad Khalvati +3 more
+6 more sources
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
openaire +2 more sources
, 2018 Radiomics is a process that aims to extract quantitative data through medical imaging, with the goal of integrating this data into clinical decision-making tools. These tools can contribute to more optimised/personalised medicine and a better prognosis for patients.
Ke Nie, Min-Ying Lydia Su
+4 more sources
Thoracic CT radiomics analysis for predicting synchronous brain metastasis in patients with lung cancer [PDF]
, 2022 PURPOSE:We aimed to assess the feasibility of radiomics analysis based on non-contrast-enhanced thoracic CT images in predicting synchronous brain metastasis (SBM) in lung cancer patients at initial diagnosis.METHODS:This retrospective study enrolled 371
Zhimin Ding +6 more
core +1 more source