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Metabolic Syndrome and Subclinical Hypothyroidism: A Type 2 Diabetes-Dependent Association 

Bermúdez, Valmore; Salazar, Juan; Añez, Roberto; Rojas, Milagros; Estrella, Viviana; Ordoñez, María; Chacín, Maricarmen; Hernández, Juan Diego; Arias, Víctor; Cabrera, Mayela; Cano-Ponce, Clímaco; Rojas, Joselyn (Hindawi, 2018)
Introduction. Subclinical hypothyroidism (ScH) is an endocrine alteration that is related to cardiovascular risk factors, including those categorized as components of the Metabolic Syndrome (MS). However, findings in prior reports regarding an association between these alterations are inconsistent. The purpose of this study was to determine the relationship between both entities in adult subjects from Maracaibo City, Venezuela. Materials and Methods. The Maracaibo City Metabolic Syndrome Prevalence Study is a descriptive, cross-sectional study ...
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Non-HDL cholesterol is better than LDL-c at predicting atherosclerotic cardiovascular disease risk factors clustering, even in subjects with near-to-normal triglycerides: A report from a Venezuelan population 

Bermúdez, Valmore; Torres, Wheeler; Salazar, Juan; Martínez, María Sofía; Rojas, Edward; Olivar, Luis Carlos; Lameda, Victor; Ortega, Ángel; Ramírez, Paola; Rojas, Milagros; Rastogi, Sheena; D’Addosio, Rosanna; Hoedebecke, Kyle; Graterol, Modesto; Graterol, Resemily; Wilches, Sandra; Cabrera de Bravo, Mayela; Rojas-Quintero, Joselyn (F1000 Research Ltd., 2018-09-20)
Background: Non-high density lipoprotein cholesterol (non-HDL-c) has emerged as an important tool in primary prevention of atherosclerotic cardiovascular disease (ASCVD), especially among those at high risk. The main objective of this study was to evaluate the predictive value of non-HDL-c for the coexistence aggregation of multiple ASCVD risk factors and compare this with LDL-c in general subjects with normal or near normal triglycerides from Maracaibo city in Venezuela. Methods: This is a descriptive, cross-sectional study with a ...
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Smoothing filters in synthetic cerebral magnetic resonance images: A comparative study 

Gelvez, Elkin; Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Sáenz, Frank; Vivas, Marisela; Contreras, Julio; Restrepo, Jorge; Vanegas, Juan; Salazar, Juan; Contreras, Yudith (Sociedad Latinoamericana de Hipertensión, 2018)
This paper presents the evaluation of two computational techniques for smoothing noise that might be present in synthetic images or numerical phantoms of magnetic resonance (MRI). The images that will serve as the databases (DB) during the course of this evaluation are available freely on the Internet and are reported in specialized literature as synthetic images called BrainWeb. The images that belong to this DB were contaminated with Rician noise, this being the most frequent type of noise in real MRI images. Also, the techniques that ...
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Digital processing of medical images: application in synthetic cardiac datasets using the CRISP_DM methodology 

Contreras, Yudith; Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Sáenz, Frank; Vivas, Marisela; Salazar, Juan; Gelvez, Elkin (Sociedad Latinoamericana de Hipertensión, 2018)
In this work an adaptation of the Cross Industry Standard Process for Data Mining (CRISP-DM) methodology, in the context of digital medical image processing is proposed. Specifically, synthetic images reported in the literature are used as numerical phantoms. Construction of the synthetic images was inspired by a detailed analysis of some of the imperfections found in the real multilayer cardiac computed tomography images. Of all the imperfections considered, only Poisson noise was selected and incorporated into a synthetic database. ...
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High grade glioma segmentation in magnetic resonance imaging 

Vera, Miguel; Huérfano, Yoleidy; Martínez, Luis Javier; Contreras, Yudith; Salazar, Williams; Vera, María Isabel; Valbuena, Oscar; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Molina, Ángel Valentín; Salazar, Juan; Gelvez, Elkin; Sáenz, Frank; Hoyos, Diego; Arias, Yeny (Sociedad Latinoamericana de Hipertensión, 2018)
Through this work we propose a computational technique for the segmentation of magnetic resonance images (MRI) of a brain tumor, identified as high grade glioma (HGG), specifically grade III anaplastic astrocytoma. This technique consists of 3 stages developed in the threedimensional domain. They are: pre-processing, segmentation and post-processing. The pre-processing stage uses a thresholding technique, morphological erosion filter (MEF), in gray scale, followed by a median filter and a gradient magnitude algorithm. On the other hand, ...
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Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging 

Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Contreras, Yudith; Cuberos, María; Vivas, Marisela; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique for the segmentation of a brain tumor, identified as low grade glioma (LGG), specifically grade II astrocytoma, which is present in magnetic resonance images (MRI). This technique consists of 3 stages developed in the three-dimensional domain. They are: pre-processing, segmentation and postprocessing. The percent relative error (PrE) is considered to compare the segmentations of the LGG, generated by a neuro- oncologist manually, with the dilated segmentations of the LGG, obtained ...
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Automatic segmentation of a meningioma using a computational technique in magnetic resonance imaging 

Vera, Miguel; Huérfano, Yoleidy; Molina, Ángel Valentín; Valbuena, Oscar; Vivas, Marisela; Cuberos, María; Salazar, Williams; Vera, María Isabel; Borrero, Maryury; Hernández, Carlos; Barrera, Doris; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique for the segmentation of a brain tumor, identified as meningioma (MGT), which is present in magnetic resonance images (MRI). This technique consists of 3 stages developed in the three-dimensional domain: pre-processing, segmentation and post-processing. The percent relative error (PrE) is considered to compare the segmentations of the MGT, generated by a neuro-oncologist manually, with the dilated segmentations of the MGT, obtained automatically. The combination of parameters linked ...
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Assessment of methods for volumetric quantification of intracerebral hematomas in computerized tomography images 

Vera, Miguel; Huérfano, Yoleidy; Barrera, Doris; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Hernández, Carlos; Vivas, Marisela; Borrero, Maryury; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This work evaluates the performance of computational methods aimed at volume generation of five intracerebral hematomas (ICH), present in multi-layer computed tomography images, by means of three complementary steps. First. A ground truth volume or reference volume (RV) is considered. This RV is obtained, by a neurosurgeon, using the manual planimetric method (MPM). In a second step, the volumetry of the 5 ICH’s is obtained considering both the original version of the ABC/2 method and two of its variants, identified in this paper as ABC/3 ...
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Volumetry of epidural hematomas in computed tomography images: Comparative study between linear and volumetric methods 

Vera, Miguel; Huérfano, Yoleidy; Hernández, Carlos; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Barrera, Doris; Borrero, Maryury; Molina, Ángel Valentín; Martínez, Luis Javier; Salazar, Juan; Gelvez, Elkin; Contreras, Yudith; Saenz, Frank (Sociedad Latinoamericana de Hipertensión, 2018)
This work evaluates the performance of some methods employed for assessing the volume of seven subdural hematomas (EDH), present in multi-layer computed tomography images. Firstly, a reference volume is considered to be that obtained by a neurosurgeon using the manual planimetric method (MPM). Secondly, the volume of the 7 EDHs is obtained considering both the original version of the ABC/2 method and two of its variants, identified in this paper as ABC/3 method and 2ABC/3 method. The ABC methods allow for calculation of the volume of ...
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Automatic segmentation of epidural hematomas using a computational technique based on intelligent operators: a clinical utility 

Salazar, Juan; Vera, Miguel; Huérfano, Yoleidy; Valbuena, Oscar; Salazar, Williams; Vera, María Isabel; Gelvez, Elkin; Contreras, Yudith; Borrero, Maryury; Vivas, Marisela; Barrera, Doris; Hernández, Carlos; Molina, Ángel Valentín; Martínez, Luis Javier; Sáenz, Frank (Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This paper proposes a non-linear computational technique for the segmentation of epidural hematomas (EDH), present in 7 multilayer computed tomography brain imaging databases. This technique consists of 3 stages developed in the three-dimensional domain, namely: pre-processing, segmentation and quantification of the volume occupied by each of the segmented EDHs. To make value judgments about the performance of the proposed technique, the EDH dilated segmentations, obtained automatically, and the EDH segmentations, generated manually by ...
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Bermúdez, Valmore (16)Rojas, Joselyn (15)Añez, Roberto (13)Barrera, Doris (9)Borrero, Maryury (9)Contreras, Yudith (9)Gelvez, Elkin (9)Hernández, Carlos (9)Huérfano, Yoleidy (9)... másMateriaSegmentation (7)Segmentación (6)Diabetes (5)Obesity (5)Tumor cerebral (4)Computational technique (3)Imágenes cerebrales por resonancia magnética (3)Insulin resistance (3)Magnetic resonance brain imaging (3)Obesidad (3)... másFecha2018 (19)2019 (5)2020 (5)2017 (2)Has File(s)Yes (23)No (8)

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