Raman spectroscopy of healthy, injured and amniotic membrane treated rat spinal cords.

Spinal cord injury is a significant public health issue with high psychological and financial costs to both the family and the society. Effective treatment strategies are hence of immense value. Several reports have suggested application of amniotic membrane for treating injuries, and there is evidence that it may be used to treat spinal injuries. In this animal model study, we explore biochemical changes in amniotic membrane treated injured spinal cord with respect to untreated injured and uninjured spinal cord using Raman spectroscopy. Multivariate statistical analysis is able to classify control, untreated, and treated with 92%, 87%, and 80% efficiency, respectively; suggesting unique biochemical changes in each group. Such studies may lead to development of minimally invasive methodologies for spinal cord injury treatment monitoring.

Estudo de linfonodos por espectroscopia Raman confocal / Lymph node study by confocal Raman spectroscopy

Dentre os órgãos linfoides encontram-se os linfonodos. Também conhecidos como nódulos linfáticos, os quais são considerados como filtros da linfa por serem ricos em linfócitos e outras células de defesa. Entre os fatores que contribuem para o seu comprometimento temos a invasão de sua estrutura por células neoplásicas. A citologia constitui o exame padrão ouro no diagnóstico sendo, a PAAF a técnica mais utilizada para a obtenção do material a ser analisado. Entretanto, alguns estudos questionam a sua utilização, devido à perda da arquitetura celular. A espectroscopia Raman confocal por meio da sua capacidade em utilizar as diferenças bioquímicas de tecidos e células vem se destacando cada vez mais neste tipo de diagnóstico. O estudo teve por objetivo identificar as principais características bioquímicas em linfonodos normais, comprometidos e lesão cervical utilizando a espectroscopia Raman confocal. Foram analisadas 12 amostras de linfonodos normais e alterados de pacientes com indicação cirúrgica para linfadenectomia pela espectroscopia seguida pela análise estatística de componentes principais (PCA) e análise de discriminante linear (LDA). Após as análises observou-se que a técnica utilizada conseguiu discriminar os tecidos com valores de especificidade, sensibilidade e acurácia de 83%. Portanto, a espectroscopia Raman confocal se mostrou uma importante ferramenta na caracterização de linfonodos podendo futuramente auxiliar no diagnóstico de lesões linfonodais.

Among the lymphoid organs there are lymph nodes,, which are considered as lymph filters because they are rich in lymphocytes and other defense cells. Among the factors that contribute to their impairment we note the invasion of its structure by neoplastic cells. Cytology is the gold-standard diagnostic test, and FNA is the technique most used to obtain the material to be analyzed. However, some studies question its use, due to the loss of cellular architecture. Confocal Raman spectroscopy, through its ability to utilize biochemical differences in tissues and cells, has been increasingly prominent in this type of diagnosis. The study aimed to identify the main biochemical characteristics in normal and compromised lymph nodes and cervical lesion using confocal Raman spectroscopy. We analyzed 12 normal and altered lymph node samples from patients with medical indications for a lymphadenectomy by spectroscopy, followed by statistical analysis of the main components (PCA) and linear discriminant analysis (LDA). After the analysis, it was observed that this technique was able to discriminate the tissues with values of specificity, sensitivity and accuracy of up to 83%. Therefore, confocal Raman spectroscopy has been shown to be an important tool in the characterization of lymph nodes, and may help in the diagnosis of lymph node lesions in the future.

Micro-Raman spectroscopic study of thyroid tissues.

Thyroid carcinomas are the most common endocrine malignancy. Inconclusive results for the analysis of malignancies are an issue in the diagnosis of thyroid carcinomas; 20% of thyroid cancer diagnoses are indeterminate or suspicious, resulting in a surgical procedure without immediate need. The use of Raman spectroscopy may help improve the diagnosis of thyroid carcinoma. In this study, 30 thyroid samples, including normal thyroid, goiter and thyroid cancer, were analyzed by confocal Raman spectroscopy. Principal component analysis (PCA), linear discriminant analysis (LDA) with cross validation and binary logistic regression (BLR) analysis were applied to discriminate among tissues. Significant discrimination was observed, with a consistent rate of concordant pairs of 89.2% for normal thyroid versus cancer, 85.7% for goiter versus cancer and 80.6% for normal thyroid versus goiter using just the amide III region. Raman spectroscopy was thus proven to be an important and fast tool for the diagnosis of thyroid tissues. The spectral region of 1200-1400cm-1 discriminated normal versus goiter tissues despite the great similarity of these tissues.