Results 21 to 30 of about 48,979 (300)
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
Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features. [PDF]
Kaohsiung J Med SciABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Tsai HY +6 more
europepmc +2 more sources
emilywavery/Radiomics-data-sharing: Raw radiomics data release 6/14/22 V2
, 2022 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
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Radiomics in Nasopharyngeal Carcinoma [PDF]
Clinical Medicine Insights: Oncology, 2022 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
Frontiers in Neurology, 2021 Introduction: Nusinersen is a recent promising therapy approved for the treatment of spinal muscular atrophy (SMA), a rare disease characterized by the degeneration of alpha motor neurons (αMN) in the spinal cord (SC) leading to progressive muscle ...
Giovanni Savini +24 more
doaj +1 more source
A deep look into radiomics [PDF]
La radiologia medica, 2021 AbstractRadiomics is a process that allows the extraction and analysis of quantitative data from medical images. It is an evolving field of research with many potential applications in medical imaging. The purpose of this review is to offer a deep look into radiomics, from the basis, deeply discussed from a technical point of view, through the main ...
Camilla Scapicchio +5 more
openaire +3 more sources
European Journal of Radiology Open, 2022 Objectives: To identify computed tomography (CT)-based radiomic signatures of cluster of differentiation 8 (CD8)-T cell infiltration and programmed cell death ligand 1 (PD-L1) expression levels in patients with clear-cell renal cell carcinoma (ccRCC ...
Bino Varghese +15 more
doaj +1 more source
Nature Reviews Clinical Oncology, 2017 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
The Role of CT-Based Radiomics in Precise Imaging of Renal Cancer [PDF]
, 2021 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
Radiomics-based nomogram using CT imaging for noninvasive preoperative prediction of early recurrence in patients with hepatocellular carcinoma [PDF]
, 2020 PURPOSE:The aim of this study was to develop and validate a radiomics nomogram based on radiomics features and clinical data for the non-invasive preoperative prediction of early recurrence (≤2 years) in patients with hepatocellular carcinoma (HCC ...
Xiao-Li Zhang +10 more
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