ADC quantification to classify patients candidate to receive bevacizumab treatment for recurrent glioblastoma.

Background: Recurrent high-grade gliomas progressing after surgery and temozolomide plus radiation therapy have traditionally been treated using antiangiogenic drugs as the first-line therapy. Since the phase 3 EORTC 26101 trial showed no significant benefit of administering antiangiogenic drugs, th...

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Publicado en:Acta Radiologica Vol. 61; no. 3; pp. 404 - 414
Autores principales: Asenjo García, Beatriz, Navarro Guirado, Félix, Nagib Raya, Fátima, Vidal Denis, María, Bravo Rodríguez, Francisco, Galán Montenegro, Pedro
Formato: Journal Article
Publicado: Sage Publications Inc. Mar2020
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Mar2020
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      pub: Sage Publications Inc.
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        atl: ADC quantification to classify patients candidate to receive bevacizumab treatment for recurrent glioblastoma.
      aug:
        au:
          Asenjo García, Beatriz
          Navarro Guirado, Félix
          Nagib Raya, Fátima
          Vidal Denis, María
          Bravo Rodríguez, Francisco
          Galán Montenegro, Pedro
        affil: Department of Radiology, Regional University Hospital of Málaga, Spain
      sug:
        subj:
          Neoplasm Recurrence, Local
          Glioma
          Brain Neoplasms
          Patient Selection
          Glioma Drug Therapy
          Magnetic Resonance Imaging Methods
          Pilot Studies
          Retrospective Design
          Neoplasm Recurrence, Local Drug Therapy
          Brain Neoplasms Drug Therapy
          Angiogenesis Inhibitors Therapeutic Use
          Brain
          Questionnaires
      ab: Background: Recurrent high-grade gliomas progressing after surgery and temozolomide plus radiation therapy have traditionally been treated using antiangiogenic drugs as the first-line therapy. Since the phase 3 EORTC 26101 trial showed no significant benefit of administering antiangiogenic drugs, the need to identify a biomarker to classify subgroups of potential responders has increased. Purpose: To investigate the feasibility of using apparent diffusion coefficient as a predictor of the response of recurrent high-grade gliomas to bevacizumab or classifier for patients showing better response. Material and Methods: This retrospective study analyzed magnetic resonance images obtained from 39 patients at the time of high-grade glioma progression who were treated using bevacizumab. The apparent diffusion coefficient maps were quantified and modelled as a mixture of Gaussian functions. The correlation of their descriptors and the time to second progression was studied. Log-rank tests were performed to determine the power of these descriptors as the classifiers for patients exhibiting better survival. Results: None of the descriptors showed correlation with time to second progression (r < 0.35) but several of them stratified subgroups showing a better time to second progression passing log-rank tests (P < 0.02). Conclusion: Apparent diffusion coefficient cannot be used to predict the time to second progression of recurrent high-grade gliomas treated with bevacizumab, but it can stratify groups with better time to second progression distributions.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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