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Rapid Mass Spectrometry Imaging to Assess the Biochemical Profile of Pituitary Tissue for Potential Intraoperative Usage.
Huang, K T; Ludy, S; Calligaris, D; Dunn, I F; Laws, E; Santagata, S; Agar, N Y R.
Afiliação
  • Huang KT; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Ludy S; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Calligaris D; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Dunn IF; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Laws E; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States.
  • Santagata S; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States.
  • Agar NY; Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, United States. Electronic address: nathalie_agar@dfci.harvard.edu.
Adv Cancer Res ; 134: 257-282, 2017.
Article em En | MEDLINE | ID: mdl-28110653
ABSTRACT
Pituitary adenomas are relatively common intracranial neoplasms that are frequently treated with surgical resection. Rapid visualization of pituitary tissue remains a challenge as current techniques either produce little to no information on hormone-secreting function or are too slow to practically aid in intraoperative or even perioperative decision-making. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) represents a powerful method by which molecular maps of tissue samples can be created, yielding a two-dimensional representation of the expression patterns of small molecules and proteins from biologic samples. In this chapter, we review the use of MALDI MSI, its application to the characterization of the pituitary gland, and its potential applications for guiding the management of pituitary adenomas.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Hipofisárias / Espectrometria de Massas / Processamento de Imagem Assistida por Computador / Biomarcadores / Monitorização Intraoperatória / Imagem Molecular Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Hipofisárias / Espectrometria de Massas / Processamento de Imagem Assistida por Computador / Biomarcadores / Monitorização Intraoperatória / Imagem Molecular Tipo de estudo: Prognostic_studies Limite: Animals / Humans Idioma: En Ano de publicação: 2017 Tipo de documento: Article