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1.
Ecancermedicalscience ; 17: 1649, 2023.
Artigo em Inglês | MEDLINE | ID: mdl-38419858

RESUMO

Lymphoedema is a complication of breast cancer treatment. Its early diagnosis is related to a good prognosis for lymphoedema treatment. The bioimpedance spectroscopy (BIS) evaluates changes in extracellular fluid. The objective of our study was to evaluate the validity, agreement and accuracy of BIS in the diagnosis of breast cancer-related lymphoedema in a Brazilian population. Methods: This is a prospective, cross-sectional study of a convenience sample of 462 women who underwent surgical treatment for breast cancer (mastectomy or breast-conserving treatment). The validity, agreement and accuracy were performed comparing BIS (lymphoedema index (L-DEX) ≥ 6.5 or 10) with volumetry by water displacement, which is the gold standard for evaluating lymphoedema. Receiver operating characteristic curve was performed. Additionally, other methods like perimetry and indirect volumetry of the upper limbs were compared with water displacement volumetry (direct volumetry), and the BIS were compared with subjective evaluation. Results: Considering L-DEX ≥ 10 the sensitivity of the BIS was 44.1%, specificity 95.4%, positive predictive value (PPV) was 70.7%, negative predictive value (NPV) was 87% and kappa was 0.459. The BIS with L-DEX ≥ 6.5, the sensitivity, specificity, PPV, NPV and kappa were 57%, 88.5%, 55.8%, 89% and 0.452, respectively. Area under curve was 0.724 and a possible cut-off point of L-DEX ≥ 7.35 with sensitivity of 57%, specificity of 90.7% and kappa value = 0.489. Conclusion: Although BIS was significantly associated with the subjective evaluation of lymphoedema, it showed low sensitivity and agreement and moderate correlation when used as a method for diagnosing the condition. Thus, it is not the most valid method for evaluating lymphoedema. In addition, it was not the most accurate method when compared with other objective evaluation tools. Public health resources are scarce and must be used consciously. The knowledge that BIS is not a more accurate method than other, lower-cost instruments allows for better targeting of these resources.

3.
Clinics ; 72(4): 244-253, Apr. 2017. tab, graf
Artigo em Inglês | LILACS | ID: biblio-840063

RESUMO

Developing countries have limited healthcare resources and use different strategies to diagnose breast cancer. Most of the population depends on the public healthcare system, which affects the diagnosis of the tumor. Thus, the indicators observed in developed countries cannot be directly compared with those observed in developing countries because the healthcare infrastructures in developing countries are deficient. The aim of this study was to evaluate breast cancer screening strategies and indicators in developing countries. A systematic review and the Population, Intervention, Comparison, Outcomes, Timing, and Setting methodology were performed to identify possible indicators of presentation at diagnosis and the methodologies used in developing countries. We searched PubMed for the terms “Breast Cancer” or “Breast Cancer Screening” and “Developing Country” or “Developing Countries”. In all, 1,149 articles were identified. Of these articles, 45 full articles were selected, which allowed us to identify indicators related to epidemiology, diagnostic intervention (diagnostic strategy, diagnostic infrastructure, percentage of women undergoing mammography), quality of intervention (presentation of symptoms at diagnosis, time to diagnosis, early stage disease), comparisons (trend curves, subpopulations at risk) and survival among different countries. The identification of these indicators will improve the reporting of methodologies used in developing countries and will allow us to evaluate improvements in public health related to breast cancer.


Assuntos
Humanos , Feminino , Neoplasias da Mama/epidemiologia , Países em Desenvolvimento/estatística & dados numéricos , Programas de Rastreamento/métodos , Neoplasias da Mama/diagnóstico , Neoplasias da Mama/prevenção & controle , Detecção Precoce de Câncer/estatística & dados numéricos , Mamografia/estatística & dados numéricos , Taxa de Sobrevida
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