Results 21 to 30 of about 52,953 (291)
State of Radiomics in Glioblastoma [PDF]
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.
Birra Taha +3 more
openaire +2 more sources
Radiomics for liver tumours [PDF]
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
Radiomics in Nasopharyngeal Carcinoma [PDF]
Nasopharyngeal carcinoma (NPC) is one of the most common head and neck malignancies, and the primary treatment methods are radiotherapy and chemotherapy. Radiotherapy alone, concurrent chemoradiotherapy, and induction chemotherapy combined with concurrent chemoradiotherapy can be used according to different grades.
Wenyue Duan +5 more
openaire +3 more sources
Radiomics signature as a new biomarker for preoperative prediction of neoadjuvant chemoradiotherapy response in locally advanced rectal cancer [PDF]
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 +6 more
core +1 more source
Interpretation of radiomics features–A pictorial review
Radiomics is a newcomer field that has opened new windows for precision medicine. It is related to extraction of a large number of quantitative features from medical images, which may be difficult to detect visually.
Bureau, Nathalie J +3 more
core +1 more source
emilywavery/Radiomics-data-sharing: Raw radiomics data release 6/14/22 V2
In this release, we share the raw radiomics data corresponding to the 5 datasets described in Avery et al., 2022 (https://doi.org/10.1016/j.nicl.2022.103034).
emilywavery
core +1 more source
Multi-parametric MRI-based peritumoral radiomics on prediction of lymph-vascular space invasion in early-stage cervical cancer [PDF]
PURPOSE: This retrospective study aims to evaluate the use of multi-parametric magnetic resonance imaging (MRI) in predicting lymph-vascular space invasion (LVSI) in early-stage cervical cancer using radiomics methods.
Cui, Linpeng +12 more
core +1 more source
The Role of CT-Based Radiomics in Precise Imaging of Renal Cancer [PDF]
Carcinoma de cèl·lules renals; Radiòmica; Tomografia computadaCarcinoma de células renales; Radiomica; Tomografía computarizadaRenal Cell Carcinoma; Radiomics; Computed TomographyThe application of advanced computational analysis to medical imaging opens
Bernatowicz, Kinga +2 more
core
Application of radiomics in predicting the preoperative risk stratification of gastric stromal tumors [PDF]
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 +6 more
core +1 more source
Radiomics, the high-throughput mining of quantitative image features from standard-of-care medical imaging that enables data to be extracted and applied within clinical-decision support systems to improve diagnostic, prognostic, and predictive accuracy, is gaining importance in cancer research.
Muhammad Idris +2 more
openaire +2 more sources

