RESUMEN A pesar del gran número de trabajos en recuperación de imágenes basadas en contenido, poco se ha avanzado en la recuperación de imágenes por teledetección. Tanto la teoría como la aplicación de los sistemas son inmaduros. Ya que las imágenes por teledetección se caracterizan por un gran volumen de información, amplia cobertura, temas difusos y semántica abundante, los resultados de las investigaciones en imágenes naturales e imágenes médicas no pueden ser usados directamente en la recuperación de imágenes por teledetección. Incluso en una consulta perfecta de imágenes basadas en contenido, los sistemas tienen muchas dificultades con la organización de información, almacenamiento y manejo, descripción de características y extracción, medición de similitudes, retroalimentación relevante, modo de servicio de red y diseño e implementación del sistema estructural. Este artículo propone un algoritmo de recuperación de imágenes por teledetección que combina la co-ocurrencia local de una red bayesiana de recuperación de imágenes con el promedio de potencia de la señal de alta frecuencia. Por las redes bayesianas, se establecen las relaciones de correspondencia entre imágenes y semántica, además de permitir la recuperación de imágenes de teledetección a través de la semántica. Mientras tanto, se desarrolló el módulo de región integrada para la recuperación repetitiva, lo que mejora efectivamente la precisión de la recuperación semántica.

ABSTRACT Although scholars have conducted numerous researches on content-based image retrieval and obtained great achievements, they make little progress in studying remote sensing image retrieval. Both theoretical and application systems are immature. Since remote sensing images are characterized by large data volume, broad coverage, vague themes and rich semantics, the research results on natural images and medical images cannot be directly used in remote sensing image retrieval. Even perfect content-based remote sensing image retrieval systems have many difficulties with data organization, storage and management, feature description and extraction, similarity measurement, relevance feedback, network service mode, and system structure design and implementation. This paper proposes a remote sensing image retrieval algorithm that combines co-occurrence region based Bayesian network image retrieval with average high-frequency signal strength. By Bayesian networks, it establishes correspondence relationships between images and semantics, thereby realizing semantic-based retrieval of remote sensing images. In the meantime, integrated región matching is introduced for iterative retrieval, which effectively improves the precision of semantic retrieval.

Background: Hepatocellular carcinoma (HCC) has a high morbidity and mortality. Single nucleotide polymorphisms (SNPs) of microRNA (miRNA) may be associated with the susceptibility to develop certain malignant tumors. Aim: To study the association between SNPs of miRNA and hepatocellular carcinoma in peripheral blood samples. Material and Methods: Three SNPs in miRNA were studied in peripheral blood samples of 498 patients with HCC and 520 controls. Results: A significant association was observed between rs13299349 in miRNA3152 and HCC. AA genotype or A allele were significantly associated with increased risk of HCC. A allele was associated with the size and number of tumor foci. There was also a relationship between rs10061133 in miRNA449b and HCC. The G allele was significantly associated with increased risk of HCC compared with A allele. Conclusions: This study links rs13299349 in miRNA3152 and rs10061133 in miRNA449b with the risk of developing HCC.

Antecedentes: El carcinoma hepatocelular (CHC) tiene una alta morbilidad y mortalidad. Polimorfismos de un nucleótido (SNP) presentes en el microRNA (miRNA) circulante pueden asociarse a ciertos tumores. Objetivo: Estudiar la asociación entre la presencia de SNPs en miRNA circulante y la presencia de carcinoma hepatocelular. Material y Métodos: Se determinó la presencia de tres SNP en microRNA de sangre periférica en 498 pacientes con CHC y 520 controles. Resultados: El SNP rs13299349 en el miRNA3152 se asoció con CHC. El genotipo AA o el alelo A se asociaron con un riesgo mayor de presentar un CHC. El alelo A se asoció además con el tamaño y número de focos del tumor. Se observó también una relación entre el SNP rs10061133 en el miRNA449b y HCC. En este caso, el alelo G se relacionó con un mayor riesgo de CHC. Conclusiones: Los SNP rs13299349 en el miRNA3152 y rs10061133 en el miRNA449b se asocian al riesgo de desarrollar CHC.

Objetivo O objetivo desta metanálise foi investigar a associação entre os níveis de leptina e o risco patogenético de doença arterial coronariana e acidente vascular cerebral. Materiais e métodos Foram identificados estudos nas bases de dados PubMed, Embase e Springer Link sem restrição quanto à língua. A razão de chances (OR) e os intervalos de confiança de 95% correspondentes (95% CI) foram usados como índices de efeitos. A associação entre os níveis de leptina e o risco patogenético de doença arterial coronariana e acidente vascular cerebral com cada unidade adicional na concentração de leptina foi analisada por meio de metanálise. O viés da publicação foi avaliado por meio do teste de regressão linear de Egger. Resultados Oito estudos com caso controle aninhado envolvendo 1.980 pacientes e 11.567 controles foram incluídos na metanálise. As ORs (95% CIs) da associação entre as concentrações de leptina e a doença arterial coronariana e o acidente vascular cerebral foram de 1,90 (1,06; 3,43) e 2,14 (1,48; 3,08), respectivamente. Além disso, foram obtidos resultados significativos com a variação de risco para a doença arterial coronariana a cada unidade adicional na concentração de leptina (OR =1,04; 95% CI =1,00‐1,08; P=0,044). Não houve viés de publicação significativo sugerido pelos desfechos no teste de Egger. Conclusão Há associação significativa entre a leptina e o risco patogenético de doença arterial coronariana e acidente vascular cerebral, e concentrações aumentadas de leptina podem elevar significativamente o risco patogenético de doença arterial coronariana.

Objective This meta-analysis aimed to investigate the association of leptin levels with pathogenetic risk of CHD and stroke. Materials and methods Studies were identified in the PubMed, Embase, and Springer link database without language restriction. Odds ratios (ORs) and corresponding 95% confidence intervals (95% CIs) were used as effect indexes. The association of leptin levels with pathogenetic risk of CHD and stroke, as well as the risk variation of CHD with each additional one unit of leptin level were examined via meta-analysis. The publication bias was assessed via Egger’s linear regression test. Results Eight nested case-control studies consisting of 1,980 patients and 11,567 controls were included for current meta-analysis. ORs (95% CIs) of association of leptin levels with CHD and stroke was 1.90 (1.06, 3.43), and 2.14 (1.48, 3.08), respectively. In addition, significant result was obtained regarding the risk variation of CHD with each additional one unit of leptin level (OR =1.04, 95% CI =1.00‐1.08, P=0.044). There was no significant publication bias as suggested by Egger test outcomes. Conclusion There was a significant association of leptin with pathogenetic risk of CHD and stroke, and raised leptin levels could significantly increase the pathogenetic risk of CHD.

OBJECTIVE: The aim of this study was to determine whether and how the diameter of the vein that gives rise to the inflowing vein of the esophageal and gastric fundic varices secondary to posthepatitic cirrhosis, as measured with multidetector-row computed tomography, could predict the varices and their patterns. METHODS: A total of 106 patients with posthepatitic cirrhosis underwent multidetector-row computed tomography. Patients with and without esophageal and gastric fundic varices were enrolled in Group 1 and Group 2, respectively. Group 1 was composed of Subgroup A, consisting of patients with varices, and Subgroup B consisted of patients with varices in combination with portal vein-inferior vena cava shunts. The diameters of the originating veins of veins entering the varices were reviewed and statistically analyzed. RESULTS: The originating veins were the portal vein in 8% (6/75) of patients, the splenic vein in 65.3% (49/75) of patients, and both the portal and splenic veins in 26.7% (20/75) of patients. The splenic vein diameter in Group 1 was larger than that in Group 2, whereas no differences in portal vein diameters were found between groups. In Group 1, the splenic vein diameter in Subgroup A was larger than that in Subgroup B. A cut-off splenic vein diameter of 8.5 mm achieved a sensitivity of 83.3% and specificity of 58.1% for predicting the varices. For discrimination of the varices in combination with and without portal vein-inferior vena cava shunts, a cut-off diameter of 9.5 mm achieved a sensitivity of 66.7% and specificity of 60.0%. CONCLUSION: The diameter of the splenic vein can be used to predict esophageal and gastric fundic varices and their patterns.