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1.
J Ultrasound Med ; 43(4): 629-641, 2024 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-38168739

RESUMO

Over the last 20 years, scientific literature and interest on chest/lung ultrasound (LUS) have exponentially increased. Interpreting mixed-anatomical and artifactual-pictures determined the need of a proposal of a new nomenclature of artifacts and signs to simplify learning, spread, and implementation of this technique. The aim of this review is to collect and analyze different signs and artifacts reported in the history of chest ultrasound regarding normal lung, pleural pathologies, and lung consolidations. By reviewing the possible physical and anatomical interpretation of these artifacts and signs reported in the literature, this work aims to present the AdET (Accademia di Ecografia Toracica) proposal of nomenclature and to bring order between published studies.


Assuntos
Pneumopatias , Pulmão , Humanos , Pulmão/diagnóstico por imagem , Pneumopatias/diagnóstico por imagem , Tórax , Ultrassonografia/métodos , Artefatos
2.
Nutrients ; 16(11)2024 Jun 04.
Artigo em Inglês | MEDLINE | ID: mdl-38892690

RESUMO

Dietary interventions represent an interesting alternative to pharmacological treatments for improving the quality of life (QoL) of subjects suffering from gastroesophageal reflux disease (GERD). This randomized, double-blind, placebo-controlled study aimed to evaluate the efficacy of a food supplement (FS) containing a probiotic strain, bioactive peptides, and vitamins in relieving heartburn/dyspeptic symptoms in subjects with mild-to-moderate GERD. Fifty-six adult participants were randomly assigned to receive the placebo or the active FS for 28 days. Subjects were asked to record daily the frequency and intensity of heartburn episodes and the intake of over- the-counter (OTC) medications. GERD-QoL and self-assessment questionnaires were also completed every two weeks and at the end of the treatment, respectively. FS was effective in achieving a progressive and significant reduction of heartburn frequency and severity, with an intergroup significant difference at the end of the treatment period. FS group also reported a reduction in the OTC medication intake, whereas placebo administration did not modify the OTC intake. Results from the QoL and self-assessment questionnaires showed that FS administration achieved a progressive and statistically significant intragroup and intergroup improvement in the QoL score and a higher positive response with respect to the placebo treatment.


Assuntos
Suplementos Nutricionais , Refluxo Gastroesofágico , Lactobacillus acidophilus , Peptídeos , Probióticos , Qualidade de Vida , Vitaminas , Humanos , Refluxo Gastroesofágico/tratamento farmacológico , Masculino , Método Duplo-Cego , Feminino , Adulto , Probióticos/administração & dosagem , Probióticos/uso terapêutico , Pessoa de Meia-Idade , Vitaminas/administração & dosagem , Resultado do Tratamento , Peptídeos/administração & dosagem , Peptídeos/uso terapêutico , Azia/tratamento farmacológico , Inquéritos e Questionários , Índice de Gravidade de Doença
3.
Comput Biol Med ; 169: 107885, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-38141447

RESUMO

Since the outbreak of COVID-19, efforts have been made towards semi-quantitative analysis of lung ultrasound (LUS) data to assess the patient's condition. Several methods have been proposed in this regard, with a focus on frame-level analysis, which was then used to assess the condition at the video and prognostic levels. However, no extensive work has been done to analyze lung conditions directly at the video level. This study proposes a novel method for video-level scoring based on compression of LUS video data into a single image and automatic classification to assess patient's condition. The method utilizes maximum, mean, and minimum intensity projection-based compression of LUS video data over time. This enables to preserve hyper- and hypo-echoic data regions, while compressing the video down to a maximum of three images. The resulting images are then classified using a convolutional neural network (CNN). Finally, the worst predicted score given among the images is assigned to the corresponding video. The results show that this compression technique can achieve a promising agreement at the prognostic level (81.62%), while the video-level agreement remains comparable with the state-of-the-art (46.19%). Conclusively, the suggested method lays down the foundation for LUS video compression, shifting from frame-level to direct video-level analysis of LUS data.


Assuntos
COVID-19 , Compressão de Dados , Humanos , Pulmão/diagnóstico por imagem , Ultrassonografia/métodos , Redes Neurais de Computação
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