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Published in 2019 at "Journal of Computer Assisted Tomography"
DOI: 10.1097/rct.0000000000000840
Abstract: Objective The aim of this study was to explore the value of spectral computed tomography (CT) imaging in differentiating lung cancer from inflammatory myofibroblastic tumor (IMT). Methods One hundred twelve patients with 96 lung cancers…
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Keywords:
spectral computed;
lung;
lung cancer;
lgr ... See more keywords
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Published in 2021 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2020.3031617
Abstract: Spectral computed tomography is able to provide quantitative information on the scanned object and enables material decomposition. Traditional projection-based material decomposition methods suffer from the nonlinearity of the imaging system, which limits the decomposition accuracy.…
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Keywords:
adversarial network;
spectral computed;
decomposition;
material decomposition ... See more keywords
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Published in 2021 at "Revista da Associacao Medica Brasileira"
DOI: 10.1590/1806-9282.20201018
Abstract: OBJECTIVE This study aims to investigate the value of magnetic resonance combined with dual-source spectral computed tomography in improving the clinical diagnosis and treatment efficiency of lumbar disk herniation. METHODS Two hundred patients with lumbar…
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Keywords:
spectral computed;
computed tomography;
dual source;
magnetic resonance ... See more keywords
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Published in 2021 at "Reviews in cardiovascular medicine"
DOI: 10.31083/j.rcm.2021.01.215
Abstract: The complex and reciprocal relationship between the brain and the heart has gained increasing attention under the concept of neurocardiology. Myocardial injury is common in cerebrovascular disease, and cardiovascular complications are the second leading cause…
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Keywords:
neurocardiology;
spectral computed;
computed tomography;
emerging role ... See more keywords
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Published in 2020 at "Korean Journal of Radiology"
DOI: 10.3348/kjr.2020.0144
Abstract: CT is a diagnostic tool with many clinical applications. The CT voxel intensity is related to the magnitude of X-ray attenuation, which is not unique to a given material. Substances with different chemical compositions can…
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Keywords:
spectral computed;
computed tomography;
energy;
ray attenuation ... See more keywords
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Published in 2023 at "Current Oncology"
DOI: 10.3390/curroncol30020115
Abstract: Spectral computed tomography (SCT) allows iodine content (IC) calculation for characterization of hypervascularized neoplasms and thus might help in the staging of neuroendocrine tumors (NETs). This single-center prospective study analyzed the association between SCT-derived IC…
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Keywords:
tumor response;
computed tomography;
spectral computed;
tumor ... See more keywords
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Published in 2024 at "Diagnostics"
DOI: 10.3390/diagnostics14070732
Abstract: Spectral CT represents a novel imaging approach that can noninvasively visualize, quantify, and characterize many musculoskeletal pathologies. This modality has revolutionized the field of radiology by capturing CT attenuation data across multiple energy levels and…
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Keywords:
spectral computed;
musculoskeletal imaging;
tomography musculoskeletal;
applications spectral ... See more keywords
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Published in 2025 at "Diagnostics"
DOI: 10.3390/diagnostics15192427
Abstract: Background/Objectives: Accurately distinguishing malignancy in thyroid micronodules (≤10 mm) is crucial for clinical management, yet it is challenging due to the limitations of conventional ultrasonography-guided biopsy. This study aims to evaluate the predictive value of…
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Keywords:
value;
spectral computed;
dual layer;
thyroid ... See more keywords
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Published in 2025 at "Symmetry"
DOI: 10.3390/sym17071165
Abstract: Spectral computed tomography (SCT) enables material decomposition, artifact reduction, and contrast enhancement, leveraging symmetry principles across its technical framework to enhance material differentiation and image quality. However, its nonlinear data acquisition process involving noise and…
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Keywords:
process;
method;
spectral computed;
reconstruction ... See more keywords
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Published in 2024 at "World Journal of Gastroenterology"
DOI: 10.3748/wjg.v30.i38.4239
Abstract: This letter comments on the article that developed and tested a machine learning model that predicts lymphovascular invasion/perineural invasion status by combining clinical indications and spectral computed tomography characteristics accurately. We review the research content,…
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Keywords:
spectral computed;
article;
computed tomography;
machine learning ... See more keywords