2023
DOI: 10.1016/j.acra.2022.03.027
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Safety and Feasibility of Contrast-Enhanced Computed Tomography with a Nanoparticle Contrast Agent for Evaluation of Diethylnitrosamine-Induced Liver Tumors in a Rat Model

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Cited by 5 publications
(4 citation statements)
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“…With human anticancer therapy, CT is popularly used for evaluation as most tumors are deep-seated and not externally visible 38 . Nota et al developed a minimally invasive method for evaluating rat liver tumors on contrast-enhanced CT using Exitron nano 12000 contrast agent in a rat liver tumor model 25 . They validated the concordance between CT images and tumor size in pathological specimens.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…With human anticancer therapy, CT is popularly used for evaluation as most tumors are deep-seated and not externally visible 38 . Nota et al developed a minimally invasive method for evaluating rat liver tumors on contrast-enhanced CT using Exitron nano 12000 contrast agent in a rat liver tumor model 25 . They validated the concordance between CT images and tumor size in pathological specimens.…”
Section: Discussionmentioning
confidence: 99%
“…Liver tissues and liver tumors in rats were visualized on contrast-enhanced micro-CT using contrast agent (Viscover ExiTron nano 12000, Miltenyi Biotec, Bergisch-Gladbach, Germany) 25 . This contrast agent is an alkaline earth-based nanoparticulate contrast agent specifically formulated for preclinical CT 26 .…”
Section: Methodsmentioning
confidence: 99%
“…The use of MRI images in rats has a strong impact on the result verification. In addition, using other modalities of tumor investigations such as Computed Tomography (CT) and combined images of (CT) & Positron Emission Tomography (PET-CT) in rats are also still used in research [32,33]. Here, estimating brain damage (as mass, inflammation, even tumor tissue) of rats due to exposure to TE-NORM is our interest in this research which may be limited in the literature.…”
Section: Mri Analysismentioning
confidence: 99%
“…Moreover, a novel approach was introduced to advance ART technology for other lower-resolution tumors in CT images. Previous investigations have demonstrated the accuracy of nanoreagent distribution and imaging in liver tumors. However, the study focused on designing a nano-CT-enhanced contrast agent for prolonged imaging in sHCC and establishing its efficacy in automatic segmentation for AI. The study had limitations, such as the unvalidated imaging accuracy of sHCC using the charged AuNP contrast agent and the limited data set for training the deep learning-based segmentation model.…”
mentioning
confidence: 99%