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Article
Open AccessClinical impact of myosteatosis measured by magnetic resonance imaging on long-term outcomes of hepatocellular carcinoma after radical hepatectomy
A variety of factors have been reported to affect long-term outcomes after radical resection of hepatocellular carcinoma (HCC). However, the indicators remain controversial. The purpose of this study was to ev...
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Article
Open AccessCorrection to: Diffusion tensor imaging (DTI) of human lower leg muscles: correlation between DTI parameters and muscle power with different ankle positions
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Article
Open AccessDiffusion tensor imaging (DTI) of human lower leg muscles: correlation between DTI parameters and muscle power with different ankle positions
To compare diffusion tensor imaging (DTI) parameters in healthy adult human lower leg muscles and to determine the correlation between DTI parameters and muscle power measurements among different types of musc...
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Article
Open AccessRisk factors for unsuccessful removal of central venous access ports implanted in the forearm of adult oncologic patients
To evaluate the risk factors for unsuccessful removal of a central venous access port (CV port) implanted in the forearm of adult oncologic patients.
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Article
Association of spinal anomalies with spondylolysis and spina bifida occulta
To investigate the association of spinal anomalies with lumbar spondylolysis and spina bifida occulta (SBO).
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Article
Utility of the Virtual Liver Parenchymal Perfusion Area Using a Commercially Available Workstation in Transarterial Chemoembolization for Hepatocellular Carcinoma
To evaluate the accuracy of the virtual liver parenchymal perfusion area using a commercially available workstation and liver analysis software in conventional transarterial chemoembolization (cTACE) for hepat...
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Article
Deep feedback GMDH-type neural network and its application to medical image analysis of MRI brain images
The deep feedback group method of data handling (GMDH)-type neural network is applied to the medical image analysis of MRI brain images. In this algorithm, the complexity of the neural network is increased gra...
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Article
Medical image analysis of abdominal X-ray CT images by deep multi-layered GMDH-type neural network
In this study, a deep multi-layered group method of data handling (GMDH)-type neural network is applied to the medical image analysis of the abdominal X-ray computed tomography (CT) images. The deep neural net...
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Article
Deep multi-layered GMDH-type neural network using revised heuristic self-organization and its application to medical image diagnosis of liver cancer
In this study, the deep multi-layered group method of data handling (GMDH)-type neural network algorithm using revised heuristic self-organization method is proposed and applied to medical image diagnosis of l...
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Article
Age-related changes in morphology of left atrial appendage in patients with atrial fibrillation
The purpose of this study was to evaluate the relationship between age and frequency of left atrial appendage (LAA) morphology in patients with atrial fibrillation (AF) compared with sinus rhythm (SR). We enro...
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Article
Burned-out seminoma revealed by solitary rib bone metastasis
Burned-out tumor is a rare phenomenon in which a testicular tumor regresses in the primary lesion and progresses in a metastatic lesion. We report the case of a 30-year-old male with burned-out seminoma reveal...
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Article
The Usefulness of Virtual Fluoroscopic Preprocedural Planning During Percutaneous Transhepatic Biliary Drainage
To retrospectively evaluate the usefulness of virtual fluoroscopic preprocedural planning (VFPP) in the percutaneous transhepatic biliary drainage (PTBD) procedure.
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Article
Open AccessT1rho and T2 relaxation times of the normal adult knee meniscus at 3T: analysis of zonal differences
Prior studies describe histological and immunohistochemical differences in collagen and proteoglycan content in different meniscal zones. The aim of this study is to evaluate horizontal and vertical zonal diff...
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Article
Medical image diagnosis of kidney regions by deep feedback GMDH-type neural network using principal component-regression analysis
The deep feedback Group Method of Data Handling (GMDH)-type neural network is applied to the medical image recognition of kidney regions. In this algorithm, the principal component-regression analysis is used ...
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Article
Variations in arterial supply to the lower lumbar spine
Several papers examined the vascular anatomy of the lumbosacral region using cadavers with angiography. However, few reports used CT angiography, and discussion on variations of fourth lumbar, fifth lumbar, an...
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Article
The usefulness of cone-beam computed tomography during chemoembolization of hepatocellular carcinomas fed exclusively by the cystic artery
To evaluate the usefulness of cone-beam computed tomography (CBCT) for monitoring the transcatheter arterial chemoembolization (TACE) of hepatocellular carcinomas supplied by the cystic artery.
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Article
Medical image diagnosis of liver cancer by hybrid feedback GMDH-type neural network using principal component-regression analysis
The hybrid feedback group method of data handling (GMDH)-type neural network is proposed and applied to the medical image diagnosis of liver cancer. In this algorithm, the principal component-regression analys...
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Article
Logistic GMDH-type neural network using principal component-regression analysis and its application to medical image diagnosis of lung cancer
The logistic group method of data handling (GMDH)-type neural network is proposed and applied to the medical image diagnosis of lung cancer. In this logistic GMDH-type neural network algorithm, the principal c...
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Article
Medical image diagnosis of lung cancer by multi-layered GMDH-type neural network self-selecting functions
In this study, a revised Group Method of Data Handling (GMDH)-type neural network self-selecting functions is applied to the computer aided image diagnosis (CAD) of lung cancer. The GMDH-type neural network al...
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Article
Medical image diagnosis of liver cancer by feedback GMDH-type neural network using knowledge base
A revised group method of data handling (GMDH)-type neural network algorithm using knowledge base for medical image diagnosis, is proposed and applied to medical image diagnosis of liver cancer. In this algori...
