Radiomics Based on Multimodal MRI for the Differential Diagnosis of Benign and Malignant Breast Lesions
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Magnetic Resonance Imaging"
DOI: 10.1002/jmri.27098
Abstract: MRI‐based radiomics has been used to diagnose breast lesions; however, little research combining quantitative pharmacokinetic parameters of dynamic contrast‐enhanced MRI (DCE‐MRI) and diffusion kurtosis imaging (DKI) exists. read more here.
Keywords: radiomics based; based multimodal; mri differential; breast ... See more keywords
External validation of radiomics-based predictive models in low-dose CT screening for early lung cancer diagnosis.
Sign Up to like & getrecommendations! Published in 2020 at "Medical physics"
DOI: 10.1002/mp.14308
Abstract: PURPOSE Low-dose CT screening allows early lung cancer detection, but is affected by frequent false positive results, inter/intra observer variation and uncertain diagnoses of lung nodules. Radiomics-based models have recently been introduced to overcome these… read more here.
Keywords: radiomics based; low dose; external validation; dose screening ... See more keywords
Relevance of apparent diffusion coefficient features for a radiomics-based prediction of response to induction chemotherapy in sinonasal cancer.
Sign Up to like & getrecommendations! Published in 2020 at "NMR in biomedicine"
DOI: 10.1002/nbm.4265
Abstract: In this paper, several radiomics-based predictive models of response to induction chemotherapy (IC) in sinonasal cancers (SNCs) are built and tested. Models were built as a combination of radiomic features extracted from three types of… read more here.
Keywords: radiomics based; response; chemotherapy sinonasal; weighted images ... See more keywords
Radiomics-based prediction model for outcomes of PD-1/PD-L1 immunotherapy in metastatic urothelial carcinoma
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-06847-0
Abstract: Objectives To evaluate the usefulness of a radiomics-based prediction model for predicting response and survival outcomes of patients with metastatic urothelial carcinoma treated with immunotherapy targeting programmed cell death 1 (PD-1) and its ligand (PD-L1).… read more here.
Keywords: radiomics based; model; urothelial carcinoma; metastatic urothelial ... See more keywords
Development and validation of an 18F-FDG PET radiomic model for prognosis prediction in patients with nasal-type extranodal natural killer/T cell lymphoma
Sign Up to like & getrecommendations! Published in 2020 at "European Radiology"
DOI: 10.1007/s00330-020-06943-1
Abstract: To identify an 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET) radiomics-based model for predicting progression-free survival (PFS) and overall survival (OS) of nasal-type extranodal natural killer/T cell lymphoma (ENKTL). In this retrospective study, a total of… read more here.
Keywords: metabolism based; radiomics based; validation; cohort ... See more keywords
Radiomics-based machine-learning method for prediction of distant metastasis from soft-tissue sarcomas.
Sign Up to like & getrecommendations! Published in 2020 at "Clinical radiology"
DOI: 10.1016/j.crad.2020.08.038
Abstract: AIM To construct and validate a radiomics-based machine-learning method for preoperative prediction of distant metastasis (DM) from soft-tissue sarcoma. MATERIALS AND METHODS Seventy-seven soft-tissue sarcomas were divided into a training set (n=54) and a validation… read more here.
Keywords: learning method; radiomics based; machine learning; soft tissue ... See more keywords
Radiomics-based model for predicting pathological complete response to neoadjuvant chemotherapy in muscle-invasive bladder cancer.
Sign Up to like & getrecommendations! Published in 2021 at "Clinical radiology"
DOI: 10.1016/j.crad.2021.03.001
Abstract: AIM To develop and validate a radiomics-based model for predicting response to neoadjuvant chemotherapy (NAC) using baseline computed tomography (CT) images in patients with muscle-invasive bladder cancer (MIBC). MATERIALS AND METHODS A radiomics signature for… read more here.
Keywords: radiomics based; response; model predicting; model ... See more keywords
A radiomics-based model for prediction of lymph node metastasis in gastric cancer.
Sign Up to like & getrecommendations! Published in 2020 at "European journal of radiology"
DOI: 10.1016/j.ejrad.2020.109069
Abstract: PURPOSE To develop and validate a radiomics-based model for preoperative prediction of lymph node metastasis (LNM) in gastric cancer (GC). METHOD A total of 768 GC patients were enrolled in this retrospective study. Radiomics features… read more here.
Keywords: radiomics based; model; based model; lymph node ... See more keywords
Accuracy of radiomics-based feature analysis on multiparametric MR images for non-invasive meningioma grading.
Sign Up to like & getrecommendations! Published in 2019 at "World neurosurgery"
DOI: 10.1016/j.wneu.2019.08.148
Abstract: OBJECTIVE Meningioma grading is a relevant subject with respect to therapy decisions in complete or partial resection, observation and radiotherapy as higher grades are associated with tumour growth and recurrence. The differentiation of low and… read more here.
Keywords: radiomics based; meningioma grading; based feature; analysis ... See more keywords
A radiomics-based comparative study on arterial spin labeling and dynamic susceptibility contrast perfusion-weighted imaging in gliomas
Sign Up to like & getrecommendations! Published in 2020 at "Scientific Reports"
DOI: 10.1038/s41598-020-62658-9
Abstract: Radiomics has potential for reflecting the differences in glioma perfusion heterogeneity between arterial spin labeling (ASL) and dynamic susceptibility contrast (DSC) imaging. The aim of this study was to compare radiomic features of ASL and… read more here.
Keywords: dsc nrcbf; radiomics based; asl ncbf; perfusion ... See more keywords
Radiomics-based Prognosis Analysis for Non-Small Cell Lung Cancer
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DOI: 10.1038/srep46349
Abstract: Radiomics characterizes tumor phenotypes by extracting large numbers of quantitative features from radiological images. Radiomic features have been shown to provide prognostic value in predicting clinical outcomes in several studies. However, several challenges including feature… read more here.
Keywords: radiomics based; based prognosis; prognosis; analysis ... See more keywords