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1.
Open Med (Wars) ; 14: 778-784, 2019.
Artigo em Inglês | MEDLINE | ID: mdl-31737781

RESUMO

Detailed characterization of the permeability and vascular volume of brain tumor vasculature can provide essential insights into tumor physiology. In this study, we evaluated the consistency of measurements in tumor blood volume and examined the feasibility of using ultrasmall superparamagnetic iron oxide (USPIO) versus gadolinium-diethylene triamine pentaacetic acid (Gd-DTPA) as contrast agents for MR perfusion imaging of brain gliomas in C6 Rats. Eighteen rats were intracerebrally implanted with C6 glioma cells, randomly divided into two groups and examined by 3.0T perfusion MR imaging with Gd-DTPA and USPIO. Tumor relative cerebral blood volume (rCBV) and relative maximum signal reduction ratio (rSRRmax) were created based on analysis of MR perfusion images. The mean values for rCBV were 2.09 and 1.57 in the USPIO and the Gd-DTPA groups, respectively, and rSRRmax values were 1.92 and 1.02 in the USPIO and the Gd-DTPA groups, respectively, showing signifi cant differences in both rCBV and rSRRmax between the USPIO and the Gd-DTPA groups (P < 0.05). The results showed that early vascular leakage occurred with gadolinium rather than USPIO in perfusion assessment, revealing that USPIO was useful in perfusion MR imaging for the assessment of tumor vasculature.

2.
Int J Environ Res Public Health ; 12(4): 3903-14, 2015 Apr 08.
Artigo em Inglês | MEDLINE | ID: mdl-25856553

RESUMO

OBJECTIVE: To explore the effect of a school-family-individual (SFI) multi-level education intervention model on knowledge and attitudes about accidental injuries among school-aged children to improve injury prevention strategies and reduce the incidence of pediatric injuries. METHODS: The random sample of rural school-aged children were recruited by using a multistage, stratified, cluster sampling method in Zunyi, Southwest China from 2012 to 2014, and 2342 children were randomly divided into intervention and control groups. Then children answered a baseline survey to collect knowledge and attitude scores (KAS) of accidental injuries. In the intervention group, children, their parents/guardians and the school received a SFI multi-level education intervention, which included a children's injury-prevention poster at schools, an open letter about security instruction for parents/guardians and multiple-media health education (Microsoft PowerPoint lectures, videos, handbooks, etc.) to children. Children in the control group were given only handbook education. After 16 months, children answered a follow-up survey to collect data on accidental injury types and accidental injury-related KAS for comparing the intervention and control groups and baseline and follow-up data. RESULTS: The distribution of gender was not significantly different while age was different between the baseline and follow-up survey. At baseline, the mean KAS was lower for the intervention than control group (15.37 ± 3.40 and 18.35 ± 5.01; p < 0.001). At follow-up, the mean KAS was higher for the intervention than control group (21.16 ± 3.05 and 20.02 ± 3.40; p < 0.001). The increase in KAS in the intervention and control groups was significant (p < 0.001; KAS: 5.79 vs. 1.67) and suggested that children's injury-related KAS improved in the intervention group. Moreover, the KAS between the groups differed for most subtypes of incidental injuries (based on International Classification of Diseases 10, ICD-10) (p < 0.05). Before intervention, 350 children had reported their accident injury episodes, while after intervention 237 children had reported their accidental injury episodes in the follow-up survey. CONCLUSIONS: SFI multi-level education intervention could significantly increase KAS for accidental injuries, which should improve children's prevention-related knowledge and attitudes about such injuries. It should help children change their risk behaviors and reduce the incidence of accidental injuries. Our results highlight a new intervention model of injury prevention among school-aged children.


Assuntos
Prevenção de Acidentes/métodos , Educação em Saúde , Conhecimentos, Atitudes e Prática em Saúde , Ferimentos e Lesões/psicologia , Adolescente , Criança , China , Feminino , Humanos , Masculino , Modelos Teóricos , Distribuição Aleatória , População Rural
3.
PLoS One ; 9(7): e102099, 2014.
Artigo em Inglês | MEDLINE | ID: mdl-25010712

RESUMO

OBJECTIVE: We aimed to investigate the patterns and risk factors of nonfatal injuries among rural mountain-area children in southwest China. METHODS: A stratified sampling method was used to recruit rural children aged 8 to 17 years (mainly 9-14 years) from 7 schools. Self-reported injuries during the past 12 months and relevant concerns were collected from June to December 2012 by using a structured questionnaire in a class interview. RESULTS: The mean age of the 2,854 children was 12.2 ± 1.5 years. The probability of annual injury was 16.7% (95% confidence interval [95% CI] 15.3-18.1%), with slightly higher injury risk for boys than girls (17.7% vs. 16.0%; P>0.05). The top 3 causes of injuries were falls (37.3%), animal-related incidents (20.6%), and burns (14.9%). The main injury risk factors included being involved in a violent episode (odds ratio [OR] 1.34, 95% CI 1.08-1.66, P = 0.007), maltreatment by parents or guardians (1.42, 1.17-1.72, P<0.001), and being from a single-child family (1.30, 1.10-1.66, P = 0.039). Older age was a protective factor (0.81, 0.76-0.87, P<0.001). CONCLUSIONS: The incidence of nonfatal injury among rural children was high, and falls were the leading cause. Younger children and boys from poor-care and poor-living environments were at increased risk of injury, which requires urgent attention. Injury prevention programs targeting these issues are needed in this mountain area and similar rural regions of China.


Assuntos
Ecossistema , Inquéritos Epidemiológicos , População Rural/estatística & dados numéricos , Instituições Acadêmicas/estatística & dados numéricos , Ferimentos e Lesões/epidemiologia , Acidentes/estatística & dados numéricos , Adolescente , Criança , China/epidemiologia , Família , Feminino , Humanos , Incidência , Masculino , Fatores de Risco
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