RESUMEN
Several pathologies have a direct impact on society, causing public health problems. Pulmonary diseases such as Chronic obstructive pulmonary disease (COPD) are already the third leading cause of death in the world, leaving tuberculosis at ninth with 1.7 million deaths and over 10.4 million new occurrences. The detection of lung regions in images is a classic medical challenge. Studies show that computational methods contribute significantly to the medical diagnosis of lung pathologies by Computerized Tomography (CT), as well as through Internet of Things (IoT) methods based in the context on the health of things. The present work proposes a new model based on IoT for classification and segmentation of pulmonary CT images, applying the transfer learning technique in deep learning methods combined with Parzen's probability density. The proposed model uses an Application Programming Interface (API) based on the Internet of Medical Things to classify lung images. The approach was very effective, with results above 98% accuracy for classification in pulmonary images. Then the model proceeds to the lung segmentation stage using the Mask R-CNN network to create a pulmonary map and use fine-tuning to find the pulmonary borders on the CT image. The experiment was a success, the proposed method performed better than other works in the literature, reaching high segmentation metrics values such as accuracy of 98.34%. Besides reaching 5.43 s in segmentation time and overcoming other transfer learning models, our methodology stands out among the others because it is fully automatic. The proposed approach has simplified the segmentation process using transfer learning. It has introduced a faster and more effective method for better-performing lung segmentation, making our model fully automatic and robust.
Asunto(s)
Aprendizaje Profundo , Internet de las Cosas , Tomografía Computarizada por Rayos X , Procesamiento de Imagen Asistido por Computador , Pulmón/diagnóstico por imagenRESUMEN
In this paper, we propose a pen device capable of detecting specific features from dynamic handwriting tests for aiding on automatic Parkinson's disease identification. The method used in this work uses machine learning to compare the raw signals from different sensors in the device coupled to a pen and extract relevant information such as tremors and hand acceleration to diagnose the patient clinically. Additionally, the datasets composed of raw signals from healthy and Parkinson's disease patients acquired here are made available to further contribute to research related to this topic.
Asunto(s)
Escritura Manual , Monitoreo Fisiológico/instrumentación , Enfermedad de Parkinson , Aceleración , Humanos , Aprendizaje Automático , Enfermedad de Parkinson/diagnóstico , TemblorRESUMEN
We aimed at evaluating the effect of titanium (Ti) with nanotopography (Nano) on the endogenous expression of BMP-2 and BMP-4 and the relevance of this process to the nanotopography-induced osteoblast differentiation. MC3T3-E1 cells were grown on Nano and machined (Machined) Ti surfaces and the endogenous BMP-2/4 expression and the effect of BMP receptor BMPR1A silencing in both osteoblast differentiation and expression of genes related to TGF-ß/BMP signaling were evaluated. Nano supported higher BMP-2 gene and protein expression and upregulated the osteoblast differentiation compared with Machined Ti surface. The BMPR1A silencing inhibited the osteogenic potential induced by Nano Ti surface as indicated by reduced alkaline phosphatase (ALP), osteocalcin and RUNX2 gene expression, RUNX2 protein expression and ALP activity. In addition, the expression of genes related to TGF-ß/BMP signaling was deeply affected by BMPR1A-silenced cells grown on Nano Ti surface. In conclusion, we have demonstrated for the first time that nanotopography induces osteoblast differentiation, at least in part, by upregulating the endogenous production of BMP-2 and modulating BMP signaling pathway. J. Cell. Biochem. 117: 1718-1726, 2016. © 2015 Wiley Periodicals, Inc.
Asunto(s)
Proteína Morfogenética Ósea 2/biosíntesis , Proteína Morfogenética Ósea 4/biosíntesis , Diferenciación Celular/efectos de los fármacos , Regulación de la Expresión Génica/efectos de los fármacos , Osteoblastos/metabolismo , Transducción de Señal/efectos de los fármacos , Titanio/farmacología , Fosfatasa Alcalina/biosíntesis , Animales , Receptores de Proteínas Morfogenéticas Óseas de Tipo 1/metabolismo , Línea Celular , Subunidad alfa 1 del Factor de Unión al Sitio Principal/metabolismo , Ratones , Propiedades de SuperficieRESUMEN
Introduction Otitis media with effusion (OME) continues to be an important pediatric clinical problem, and more studies are needed to decide the proper treatment for it. Objective To assess the efficacy of nasal steroids in the management of OME by comparing its results with that of oral steroid and that of nasal saline spray as placebo. Methods This study was carried on 60 patients with OME who were divided into three groups: in group 1, 20 patients received mometasone furoate spray, one puff in each nostril daily, for 3 months; in group 2, 20 patients received oral prednisolone, 5 mg three times per day for the first 3 weeks; in group 3, 20 patients received nasal saline spray, one puff in each nostril daily for 3 months. Results A highly significant difference between systemic or topical (nasal spray) steroid therapy and saline nasal spray was detected (p < 0.001), and the difference between systemic and topical steroid was nonsignificant (p > 0.05). Conclusion Nasal steroid spray can be used as an effective treatment for OME, giving a significant result similar to systemic steroid. Further studies are needed to investigate its use for longer duration and in recurrent cases.(AU)
Asunto(s)
Humanos , Masculino , Femenino , Niño , Adolescente , Pruebas de Impedancia Acústica , Otitis Media con Derrame/terapia , Esteroides , Resultado del TratamientoRESUMEN
Introduction Otitis media with effusion (OME) continues to be an important pediatric clinical problem, and more studies are needed to decide the proper treatment for it. Objective To assess the efficacy of nasal steroids in the management of OME by comparing its results with that of oral steroid and that of nasal saline spray as placebo. Methods This study was carried on 60 patients with OME who were divided into three groups: in group 1, 20 patients received mometasone furoate spray, one puff in each nostril daily, for 3 months; in group 2, 20 patients received oral prednisolone, 5 mg three times per day for the first 3 weeks; in group 3, 20 patients received nasal saline spray, one puff in each nostril daily for 3 months. Results A highly significant difference between systemic or topical (nasal spray) steroid therapy and saline nasal spray was detected (p < 0.001), and the difference between systemic and topical steroid was nonsignificant (p > 0.05). Conclusion Nasal steroid spray can be used as an effective treatment for OME, giving a significant result similar to systemic steroid. Further studies are needed to investigate its use for longer duration and in recurrent cases.
RESUMEN
The aim of this study was to investigate if chemically produced nanotopography on titanium (Ti) surface induces osteoblast differentiation of cultured human bone marrow mesenchymal stem cells (hMSCs) by regulating the expression of microRNAs (miRs). It was demonstrated that Ti with nanotopography induces osteoblast differentiation of hMSCs as evidenced by upregulation of osteoblast specific markers compared with untreated (control) Ti at day 4. At this time-point, miR-sequencing analysis revealed that 20 miRs were upregulated (>twofold) while 20 miRs were downregulated (>threefold) in hMSCs grown on Ti with nanotopography compared with control Ti. Three miRs, namely miR-4448, -4708, and -4773, which were significantly downregulated (>fivefold) by Ti with nanotopography affect osteoblast differentiation of hMSCs. These miRs directly target SMAD1 and SMAD4, both key transducers of the bone morphogenetic protein 2 (BMP-2) osteogenic signal, which were upregulated by Ti with nanotopography. Overexpression of miR-4448, -4708, and 4773 in MC3T3-E1 pre-osteoblasts noticeably inhibited gene and protein expression of SMAD1 and SMAD4 and therefore repressed the gene expression of key bone markers. Additionally, it was observed that the treatment with BMP-2 displayed a higher osteogenic effect on MC3T3-E1 cells grown on Ti with nanotopography compared with control Ti, suggesting that the BMP-2 signaling pathway was more effective on this surface. Taken together, these results indicate that a complex regulatory network involving a miR-SMAD-BMP-2 circuit governs the osteoblast differentiation induced by Ti with nanotopography. J. Cell. Physiol. 229: 1690-1696, 2014. © 2014 Wiley Periodicals, Inc.