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1.
Med Biol Eng Comput ; 62(2): 621-636, 2024 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-37980307

RESUMO

We address the lack of research regarding aerodynamic events behind respiratory distress at COVID-19. The use of chest CT enables quantification of pneumonia extent; however, there is a paucity of data regarding the impact of airflow changes. We reviewed 31 COVID-19 patients who were admitted in March 2020 with varying severity of pulmonary disease. Lung volumes were segmented and measured on CT images and patient-specific models of the lungs were created. Incompressible, laminar, and three-dimensional Navier-Stokes equations were used for the fluid dynamics (CFD) analyses of ten patients (five mild, five pneumonia). Of 31 patients, 17 were female, 18 had pneumonia, and 2 were deceased. Effective lung volume decreased in the general group, but the involvement of the right lung was prominent in dyspnea patients. CFD analyses revealed that the mass flow distribution was significantly distorted in pneumonia cases with diminished flow rate towards the right lung. In addition, the distribution of flow parameters showed mild group had less airway resistance with higher velocity (1.228 m/s vs 1.572 m/s) and higher static pressure values at airway branches (1.5112 Pa vs 1.3024 Pa). Therefore, we conclude that airway resistance and mass flow rate distribution are as important as the radiological involvement degree in defining the disease severity.


Assuntos
COVID-19 , Imageamento Tridimensional , Feminino , Humanos , Masculino , Simulação por Computador , Hidrodinâmica , Imageamento Tridimensional/métodos , Pulmão/diagnóstico por imagem
2.
Int. j. morphol ; 40(3): 774-780, jun. 2022. ilus, tab
Artigo em Inglês | LILACS | ID: biblio-1385678

RESUMO

SUMMARY: The aim of this study is to contribute to sex determination studies from the scapula in the Turkish population and compare with previous studies. This study was performed with 200 scapulae (100 males and 100 females). The age range of the patients was between 18-93 years old. Computed tomography scans were used and length of glenoid cavity (LGC), breadth of glenoid cavity (BGC), depth of glenoid cavity (DGC), perimeter (PM) and volume (VL) were measured. Randomly selected 20 scapulae were measured three times for examine the intra-rater reliability from those measurements. Gender logistic regression analysis was conducted to find the significant variables at sex determination from the scapula. The most effective parameter in determining sex from scapula was found to be VL (88.5%). The effects of LGC, PM, BGC and DGC at sex determination from scapula were found to be 83%, 82.5%, 79.5%, 66%, respectively. The combination of VL and PM (89.5%) was found to be the most effective combination at sex determination from the scapula. The intraclass correlation values of all measurements were found to be at high reliability. According to the literature, PM and DGC along with the VL in Turkish population, were not used previously for sex determination from the scapula. A combination of the VL and PM was found to be the most effective parameters at sex determination from scapula in the Turkish population. There are few studies on the sex determination from scapula in the Turkish population. This study will guide anthropologists, forensic scientists and anatomists at sex determination studies from scapula and surgeons by morphometrically in clinical situations related to the scapula.


RESUMEN: El objetivo de este estudio fue contribuir a la determinación del sexo a partir de la escápula en la población turca y comparar con estudios previos. Esta investigación se realizó con 200 escápulas (100 hombres y 100 mujeres). El rango de edad de los pacientes estaba entre de 18 años y 93 años. Escaner de tomografía computada se usó para medir en la cavidad glenoidea los siguientes parámetros: longitud (LCG), ancho (ACG), profundidad (PCG), perímetro (PG) y volumen (VCG). Se midieron 20 escápulas seleccionadas tres veces al azar para examinar la confiabilidad intraevaluador de estas mediciones. Se realizó un análisis de regresión logística de género para encontrar las variables significativas en la determinación del sexo a partir de la escápula. El parámetro más eficaz para determinar el sexo a partir de la escápula resultó ser VCG (88,5%). Los efectos de LCG, PG, ACG y PCG en la determinación del sexo a partir de la escápula fueron del 83 %, 82,5 %, 79,5 % y 66 %, respectivamente. La combinación de VCG y PG (89,5%) resultó ser la combinación más efectiva en la determinación del sexo a partir de la escápula. Se encontró que los valores de correlación intraclase de todas las mediciones tenían una alta confiabilidad. De acuerdo con la literatura, PG y PCG junto con el VCG en la población turca, no se han utilizado previamente para la determinación del sexo a partir de la escápula. Se determinó que una combinación de VCG y PG son los parámetros más efectivos en la determinación del sexo a partir de la escápula. Existe escasa información sobre la determinación del sexo a partir de la escápula en la población turca. Este estudio guiará a los antropólogos, forenses y anatomistas en los estudios de determinación del sexo de la escápula y sera útil para los cirujanos en situaciones clínicas relacionadas con la escápula.


Assuntos
Humanos , Masculino , Feminino , Adolescente , Adulto , Pessoa de Meia-Idade , Idoso , Idoso de 80 Anos ou mais , Adulto Jovem , Tomografia Computadorizada por Raios X , Determinação do Sexo pelo Esqueleto , Cavidade Glenoide/anatomia & histologia , Cavidade Glenoide/diagnóstico por imagem , Escápula/anatomia & histologia , Escápula/diagnóstico por imagem , Turquia , Modelos Logísticos
3.
Ir J Med Sci ; 191(4): 1843-1848, 2022 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-34374938

RESUMO

BACKGROUND: Olfactory dysfunction (OD) is a significant symptom of COVID-19 and may be the earliest symptom, or it may sometimes be the only manifestation of the disease. AIMS: To investigate whether OD is correlated with chest computed tomography (CT) findings, blood test parameters, and disease severity in COVID-19 patients. METHODS: The files of COVID-19 patients were retrospectively reviewed, and the ones who had information about smelling status and CT were taken into consideration. A total of 180 patients were divided into two groups: the OD group consisted of 89 patients with self-reported OD, and the No-OD group consisted of 91 subjects who did not complain of OD. The two groups were compared for the amount of lung consolidation on CT, intensive care unit (ICU) admission, and blood test parameters (complete blood count, alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatine kinase (CK), lactate dehydrogenase (LDH), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), ferritin, D-dimer, interleukin-6 (IL-6)). RESULTS: The amount of lung consolidation and ICU admission were significantly higher in the No-OD group (p < 0.001 for both). White blood cell (p = 0.06), monocyte (p = 0.26), and platelet (p = 0.13) counts and hemoglobin (p = 0.63), ALT (p = 0.89), and D-dimer (p = 0.45) levels of the two groups were similar. Lymphocyte count (p = 0.01), neutrophil count (p = 0.01), and AST (p = 0.03), CK (p = 0.01), LDH (p < 0.001), CRP (p < 0.001), ESR (p < 0.001), ferritin (p < 0.001), and IL-6 (p < 0.001) levels were significantly higher in the No-OD group. CONCLUSIONS: The patients presenting to the hospital with self-reported OD may have less lung involvement and a milder disease course compared to patients without OD on admission.


Assuntos
COVID-19 , Pulmão , Transtornos do Olfato , Proteína C-Reativa/análise , COVID-19/complicações , Ferritinas , Humanos , Interleucina-6 , Pulmão/diagnóstico por imagem , Pulmão/patologia , Transtornos do Olfato/virologia , Estudos Retrospectivos , SARS-CoV-2
4.
Bosn J Basic Med Sci ; 21(6): 739-745, 2021 Dec 01.
Artigo em Inglês | MEDLINE | ID: mdl-33577443

RESUMO

The aim of the study was to compare the performance of various computed tomography (CT) reporting tools, including zonal CT visual score (ZCVS), the number of involved lobes, and Radiological Society of North America (RSNA) categorization in predicting adverse outcomes among patients hospitalized due to the lower respiratory symptoms during the coronavirus disease 2019 (COVID-19) pandemic. A total of 405 patients admitted with severe respiratory symptoms who underwent a chest CT were enrolled. The primary adverse outcome was intensive care unit (ICU) admission of patients. Predictive performances of reporting tools were compared using the area under the receiver operating characteristic curves (AUC ROC). Among the 405 patients, 39 (9.63%) required ICU support during their hospital stay. At least two or more observers reported a typical and indeterminate COVID-19 pneumonia CT pattern according to RSNA categorization in 70% (285/405) of patients. Among these, 63% (179/285) had a positive polymerase chain reaction (PCR test for the SARS-CoV-2 virus. The median number of lobes involved according to CT was higher in patients who required ICU support (median interquartile range [IQR], 5[3; 5] vs. 3[0; 5]). The median ZCVS score was higher among the patients that subsequently required ICU support (median [IQR], 4[0; 12] vs. 13[5.75; 24]). The bootstrap comparisons of AUC ROC showed significant differences between reporting tools, and the ZCVS was found to be superior (AUC ROC, 71-75%). The ZCVS score at the first admission showed a linear and significant association with adverse outcomes among patients with the lower respiratory tract symptoms during the COVID-19 pandemic.


Assuntos
COVID-19/complicações , COVID-19/diagnóstico por imagem , Tomografia Computadorizada por Raios X , Adulto , Idoso , COVID-19/mortalidade , Cuidados Críticos , Feminino , Hospitalização , Humanos , Masculino , Pessoa de Meia-Idade , Valor Preditivo dos Testes , Prognóstico , Curva ROC , Estudos Retrospectivos , Taxa de Sobrevida
5.
J Med Syst ; 44(1): 5, 2019 Nov 24.
Artigo em Inglês | MEDLINE | ID: mdl-31761960

RESUMO

The objective of this study is to propose and validate a computer-aided segmentation system which performs the automated segmentation of injured kidney in the presence of contusion, peri-, intra-, sub-capsular hematoma, laceration, active extravasation and urine leak due to abdominal trauma. In the present study, total multi-phase CT scans of thirty-seven cases were used; seventeen of them for the development of the method and twenty of them for the validation of the method. The proposed algorithm contains three steps: determination of the kidney mask using Circular Hough Transform, segmentation of the renal parenchyma of the kidney applying the symmetry property to the histogram, and estimation of the kidney volume. The results of the proposed method were compared using various metrics. The kidney quantification led to 92.3 ± 4.2% Dice coefficient, 92.8 ± 7.4%/92.3 ± 5.1% precision/sensitivity, 1.4 ± 0.6 mm/2.0 ± 1.0 mm average surface distance/root-mean-squared error for intact and 87.3 ± 8.4% Dice coefficient, 84.3 ± 13.8%/92.2 ± 3.8% precision/sensitivity and 2.4 ± 2.2 mm/4.0 ± 4.2 mm average surface distance/root-mean-squared error for injured kidneys. The segmentation of the injured kidney was satisfactorily performed in all cases. This method may lead to the automated detection of renal lesions due to abdominal trauma and estimate the intraperitoneal blood amount, which is vital for trauma patients.


Assuntos
Traumatismos Abdominais/diagnóstico por imagem , Injúria Renal Aguda/diagnóstico por imagem , Interpretação de Imagem Radiográfica Assistida por Computador/métodos , Algoritmos , Automação , Feminino , Humanos , Imageamento Tridimensional/métodos , Masculino , Tomografia Computadorizada por Raios X/métodos
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