{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,19]],"date-time":"2026-09-19T04:31:30Z","timestamp":1789792290910,"version":"4.0.1"},"reference-count":44,"publisher":"SAGE Publications","issue":"12","license":[{"start":{"date-parts":[[2013,12,1]],"date-time":"2013-12-01T00:00:00Z","timestamp":1385856000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Photomedicine and Laser Surgery"],"published-print":{"date-parts":[[2013,12]]},"abstract":"<jats:p>\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Background and objective:<\/jats:italic>\n                    <\/jats:bold>\n                    Because of their aggressiveness, brain tumors can lead to death within a short time after diagnosis. Optical techniques such as Raman spectroscopy may be a technique of choice for\n                    <jats:italic toggle=\"yes\">in situ<\/jats:italic>\n                    tumor diagnosis, with potential use in determining tumor margins during surgery because of its ability to identify biochemical changes between normal and tumor brain tissues quickly and without tissue destruction.\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Methods:<\/jats:italic>\n                    <\/jats:bold>\n                    In this work, fragments of brain tumor (glioblastoma, medulloblastoma, and meningioma) and normal tissues (cerebellum and meninges) were obtained from excisional intracranial surgery and from autopsies, respectively. Raman spectra (dispersive spectrometer, 830\u2009nm 350\u2009mW, 50\u2009sec accumulation, total 172 spectra) were obtained\n                    <jats:italic toggle=\"yes\">in vitro<\/jats:italic>\n                    on these fragments. It has been developed as a model to discriminate between the spectra of normal tissue and tumors based on the scores of principal component analysis (PCA) and Euclidean distance.\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Results:<\/jats:italic>\n                    <\/jats:bold>\n                    ANOVA indicated that the scores of PC2 and PC3 show differences between normal and tumor groups (\n                    <jats:italic toggle=\"yes\">p<\/jats:italic>\n                    &lt;0.05) which could be employed in a discrimination model. PC2 was able to discriminate glioblastoma from the other tumors and from normal tissues, showing featured peaks of lipids\/phospholipids and cholesterol. PC3 discriminated medulloblastoma and meningioma from normal tissues, with the most intense spectral features of proteins. PC3 also discriminated normal tissues (meninges and cerebellum) by the presence of cholesterol peaks. Results indicated a sensitivity and specificity of 97.4% and 100%, respectively, for this\n                    <jats:italic toggle=\"yes\">in vitro<\/jats:italic>\n                    diagnosis of brain tumor.\n                    <jats:bold>\n                      <jats:italic toggle=\"yes\">Conclusions:<\/jats:italic>\n                    <\/jats:bold>\n                    The PCA\/Euclidean distance model was effective in differentiating tumor from normal spectra, regardless of the type of tissue (meninges or cerebellum).\n                  <\/jats:p>","DOI":"10.1089\/pho.2012.3460","type":"journal-article","created":{"date-parts":[[2013,11,19]],"date-time":"2013-11-19T10:07:19Z","timestamp":1384855639000},"page":"595-604","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":37,"title":["Discriminating Neoplastic and Normal Brain Tissues\n                    <i>in Vitro<\/i>\n                    Through Raman Spectroscopy: A Principal Components Analysis Classification Model"],"prefix":"10.1177","volume":"31","author":[{"given":"Ricardo Pinto","family":"Aguiar","sequence":"first","affiliation":[{"name":"Universidade Camilo Castelo Branco - UNICASTELO","place":["Brazil"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"suffix":"Jr.","given":"Landulfo","family":"Silveira","sequence":"additional","affiliation":[{"name":"Universidade Camilo Castelo Branco - UNICASTELO","place":["Brazil"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Edgar Teixeira","family":"Falc\u00e3o","sequence":"additional","affiliation":[{"name":"Hospital S\u00e3o Jos\u00e9","place":["Brazil"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marcos Tadeu Tavares","family":"Pacheco","sequence":"additional","affiliation":[{"name":"Universidade Camilo Castelo Branco - UNICASTELO","place":["Brazil"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Renato Amaro","family":"Z\u00e2ngaro","sequence":"additional","affiliation":[{"name":"Universidade Camilo Castelo Branco - UNICASTELO","place":["Brazil"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos Augusto","family":"Pasqualucci","sequence":"additional","affiliation":[{"name":"University of S\u00e3o Paulo","place":["Brazil"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2013,12]]},"reference":[{"key":"e_1_3_3_2_2","unstructured":"Instituto Nacional de C\u00e2ncer Jos\u00e9 Alencar Gomes da Silva - INCA (2011). 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