Your browser doesn't support javascript.
loading
Molecular imaging in ovarian cancer.
Reyners, A K L; Broekman, K E; Glaudemans, A W J M; Brouwers, A H; Arts, H J G; van der Zee, A G J; de Vries, E G E; Jalving, M.
Afiliação
  • Reyners AK; Department of Medical Oncology a.k.l.reyners@umcg.nl.
  • Broekman KE; Department of Medical Oncology.
  • Glaudemans AW; Department of Nuclear Medicine and Molecular Imaging.
  • Brouwers AH; Department of Nuclear Medicine and Molecular Imaging.
  • Arts HJ; Department of Gynecological Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • van der Zee AG; Department of Gynecological Oncology, University of Groningen, University Medical Center Groningen, Groningen, The Netherlands.
  • de Vries EG; Department of Medical Oncology.
  • Jalving M; Department of Medical Oncology.
Ann Oncol ; 27 Suppl 1: i23-i29, 2016 04.
Article em En | MEDLINE | ID: mdl-27141066
ABSTRACT
Ovarian cancer has a high mortality and novel-targeted treatment strategies have not resulted in breakthroughs for this disease. Insight into the molecular characteristics of ovarian tumors may improve diagnosis and selection of patients for treatment with targeted therapies. A potential way to achieve this is by means of molecular imaging. Generic tumor processes, such as glucose metabolism ((18)F-fluorodeoxyglucose) and DNA synthesis ((18)F-fluorodeoxythymidine), can be visualized non-invasively. More specific targets, such as hormone receptors, growth factor receptors, growth factors and targets of immunotherapy, can also be visualized. Molecular imaging can capture data on intra-patient tumor heterogeneity and is of potential value for individualized, target-guided treatment selection. Early changes in molecular characteristics during therapy may serve as early predictors of response. In this review, we describe the current knowledge on molecular imaging in the diagnosis and as an upfront or early predictive biomarker in patients with ovarian cancer.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Ovarianas Tipo de estudo: Prognostic_studies Limite: Animals / Female / Humans Idioma: En Ano de publicação: 2016 Tipo de documento: Article