Articles with "radiomics approach" as a keyword



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Differentiating well-differentiated liposarcomas from lipomas using a radiomics approach

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Published in 2019 at "Annals of Oncology"

DOI: 10.1093/annonc/mdz283.041

Abstract: Abstract Background Well-differentiated liposarcomas (WDLPS) can be difficult to distinguish from lipomas. Currently, this distinction is made by testing for MDM2-amplification, which requires a biopsy. The aim of this study was to non-invasively predict the… read more here.

Keywords: mdm2 amplification; using radiomics; radiomics approach; well differentiated ... See more keywords
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A radiomics platform for computing imaging features from µCT images of Thoroughbred racehorse proximal sesamoid bones: benchmark performance and evaluation.

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Published in 2020 at "Equine veterinary journal"

DOI: 10.1111/evj.13321

Abstract: BACKGROUND Proximal sesamoid bone (PSB) fractures are the most common fatal musculoskeletal injury in North American racehorses. Computed tomography has the potential to detect morphological changes in bone structure but can be challenging to analyse… read more here.

Keywords: features images; features calculated; study; radiomics approach ... See more keywords
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Diagnosis of Cardiac Amyloidosis Using a Radiomics Approach Applied to Late Gadolinium-Enhanced Cardiac Magnetic Resonance Images: A Retrospective, Multicohort, Diagnostic Study

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Published in 2022 at "Frontiers in Cardiovascular Medicine"

DOI: 10.3389/fcvm.2022.818957

Abstract: Objectives To assess the potential of a radiomics approach of late gadolinium enhancement (LGE) cardiac magnetic resonance (CMR) in the diagnosis of cardiac amyloidosis (CA). Materials and Methods This retrospective study included 200 patients with… read more here.

Keywords: cardiac magnetic; lge; magnetic resonance; radiomics approach ... See more keywords
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A Radiomics Approach on Chest CT Distinguishes Primary Lung Cancer from Solitary Lung Metastasis in Colorectal Cancer Patients

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Published in 2022 at "Journal of Personalized Medicine"

DOI: 10.3390/jpm12111859

Abstract: Purpose: This study utilized a radiomics approach combined with a machine learning algorithm to distinguish primary lung cancer (LC) from solitary lung metastasis (LM) in colorectal cancer (CRC) patients with a solitary pulmonary nodule (SPN).… read more here.

Keywords: primary lung; test dataset; lung; cancer ... See more keywords