<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>0028-3746</journal-id>
<journal-title><![CDATA[Neumología y cirugía de tórax]]></journal-title>
<abbrev-journal-title><![CDATA[Neumol. cir. torax]]></abbrev-journal-title>
<issn>0028-3746</issn>
<publisher>
<publisher-name><![CDATA[Sociedad Mexicana de Neumología y Cirugía de Tórax; Instituto Nacional de Enfermedades Respiratorias Ismael Cosío Villegas; Sociedad Cubana de Neumología; Sociedad Paraguaya de Neumología; Sociedad Boliviana de Neumología.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S0028-37462022000300165</article-id>
<article-id pub-id-type="doi">10.35366/111086</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[Características clínicas y de imagen de tórax en pacientes con COVID-19 en un hospital de Tegucigalpa, Honduras]]></article-title>
<article-title xml:lang="en"><![CDATA[Clinical and chest imaging characteristic in patients with COVID-19 in a hospital from Tegucigalpa, Honduras]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Cárcamo]]></surname>
<given-names><![CDATA[Sandra]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pacheco]]></surname>
<given-names><![CDATA[Walter]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ortiz]]></surname>
<given-names><![CDATA[Glenda]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
<xref ref-type="aff" rid="Aaf"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Rivera]]></surname>
<given-names><![CDATA[María Félix]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad Nacional Autónoma de Honduras  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Honduras</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Hospital María de Especialidades Pediátricas  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Honduras</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Hondureño de Seguridad Social  ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Honduras</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>09</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>09</month>
<year>2022</year>
</pub-date>
<volume>81</volume>
<numero>3</numero>
<fpage>165</fpage>
<lpage>171</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S0028-37462022000300165&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S0028-37462022000300165&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S0028-37462022000300165&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen:  Introducción:  el papel de los recursos de imagen para la caracterización del espectro de manifestaciones radiológicas mediante un lenguaje estandarizado e informes estructurados sirve de guía para el tratamiento y terapia en pacientes COVID-19.  Propósito:  determinar las características clínicas imagenológicas en la tomografía de tórax en pacientes con COVID-19, Hospital María de Especialidades Pediátricas.  Material y métodos:  estudio observacional, transversal, con componente analítico, realizado en el Hospital María de Especialidades Pediátricas de abril de 2020 a abril de 2021.Todos los datos fueron obtenidos de expedientes clínicos y archivo digital de imágenes, 149 pacientes cumplían con la definición de caso. Los criterios de inclusión fueron: pacientes confirmados o probables por COVID-19 mayores de 18 años que fueron hospitalizados, a quienes se les realizó prueba PCR-RT o antígenos y tomografía de tórax AR. Se utilizaron tres escalas para objetivar afectación severidad y grado de sospecha para predicción de COVID-19 por tomografía computarizada (TC).  Resultados:  los más afectadas fueron del sexo femenino, rango de edad más frecuente fue entre 40-59 años, (media de 56), con comorbilidades como hipertensión, obesidad y diabetes/prediabetes. La mayoría de los pacientes se presentaron en una fase crónica/avanzada de la enfermedad, encontrando con mayor frecuencia los siguientes patrones: empedrado (80.5%), bandas pleuroparenquimales (79.5%) y patrón en vidrio deslustrado (73.8%). Existe una correlación fuerte entre los patrones pulmonares predominantes y fase de evolución tomográfica (coeficiente de correlación de Pearson 0.65).  Conclusión:  la TC de tórax es útil para diagnosticar la infección por COVID-19 tanto en la valoración inicial de la afectación pulmonar y seguimiento.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract:  Introduction:  the role of imaging resources for the characterization of the spectrum of radiological manifestations, through standardized language and structured reports, serves as a guide for treatment and therapy in COVID-19 patients.  Purpose:  to determine the clinical-imaging characteristics in the chest tomography in patients with COVID-19 at the Hospital María de Especialidades Pediátricas.  Material and methods:  observational, cross-sectional study, with an analytical component, carried out at the Hospital María de Especialidades Pediátricas, April 2020-April 2021. All data were obtained from clinical records and digital image archive, 149 patients met the case definition. The inclusion criteria were: confirmed or probable COVID-19 patients 18 years or older who were hospitalized and underwent RT-PCR or antigen tests and HRCT. On the other hand, three scales were used to objectify affectation, severity and degree of suspicion for the prediction of COVID-19 by computerized tomography (CT).  Results:  the most affected population where female, the most frequent age range was between 40-59 years, (mean of 56) with comorbidities such as hypertension, obesity and diabetes or prediabetes. Most of the patients presented in a chronic or advanced phase of the disease, the following patterns where found the most frequently; cobblestone (80.5%), pleuroparenchymal bands (79.5%) and ground glass pattern (73.8%). There is a strong correlation between the predominant pulmonary patterns and the tomographic evolution phase (Pearson&#8217;s correlation coefficient 0.65).  Conclusion:  computerized tomography is a very valuable tool for diagnosing COVID-19 infection, both in the initial assessment of lung involvement and for its follow-up.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[COVID-19]]></kwd>
<kwd lng="es"><![CDATA[tomografía de tórax]]></kwd>
<kwd lng="es"><![CDATA[patrones pulmonares]]></kwd>
<kwd lng="es"><![CDATA[CORADS RSNA]]></kwd>
<kwd lng="en"><![CDATA[COVID-19]]></kwd>
<kwd lng="en"><![CDATA[chest tomography]]></kwd>
<kwd lng="en"><![CDATA[pulmonary patterns]]></kwd>
<kwd lng="en"><![CDATA[CORADS RSNA]]></kwd>
</kwd-group>
</article-meta>
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