Literature DB >> 10924971

Radiation-induced regional cerebral blood volume (rCBV) changes in normal brain and low-grade astrocytomas: quantification and time and dose-dependent occurrence.

M Fuss1, F Wenz, R Scholdei, M Essig, J Debus, M V Knopp, M Wannenmacher.   

Abstract

PURPOSE: New tumor-conformal radiation-treatment modalities have been established with the intention to spare normal tissue while maintaining or improving local tumor control. To document radiation-induced changes in normal brain and low-grade astrocytoma we measured regional cerebral blood volumes (rCBV) using a dynamic susceptibility-weighted contrast-enhanced MR technique (DSC-MRI). We attempted to assess pretherapeutic rCBV values and time- and dose-dependent changes following radiotherapy. METHODS AND MATERIALS: For prospective and longitudinal assessment of rCBV in normal brain and low-grade astrocytoma, 25 patients with histologically proven fibrillary astrocytoma (WHO Grade II) were examined before radiotherapy and during follow-up. Based on CT- and MR-data sets in a stereotactic setup, three-dimensional (3D) treatment planning was done. Radiotherapy was delivered using fractionated stereotactic radiotherapy (FSRT) to mean and median total doses of 60.9 and 60 Gy, respectively (range, 55.8-66 Gy). During MR imaging for treatment planning and follow-up examinations, 55 T2-weighted gradient echo images were acquired before, during, and after intravenous contrast bolus injection. The acquired signal-time curves were converted into concentration-time curves. The area under the tissue concentration-time curve was calculated and normalized to an integrated arterial input function. Thus, absolute rCBV values could be calculated.
RESULTS: Pretherapeutic mean rCBV for normal gray (GM) and white brain matter (WM) were 7.2 +/- 2.7 and 3.6 +/- 1.5 mL/100 g tissue, respectively. Mean rCBV for astrocytoma was 6.5 +/- 3.7 mL/100 g tissue. After radiotherapy, rCBV for GM and WM was significantly reduced (p < 0.01) in high-dose areas (40-100% of total dose). A nonsignificant reduction was measured in low-dose areas (up to 40% of total dose). Reduction of rCBV in astrocytomas to a plateau level of 4.6 +/- 0.4 mL/100 g tissue was measured at 6 months after radiotherapy and remained stable in locally controlled tumors.
CONCLUSION: Monitoring of rCBV changes in normal brain and low-grade astrocytoma was feasible using a DSC-MRI technique. The method was able to document radiation effects in low-grade astrocytoma, even if the majority of tumors showed no change in diagnostic MR-imaging. Radiation induced decrease of rCBV in GM and WM was correlated to total dose delivered to a tissue area, with high doses causing a significant decrease. Minor decline of rCBV in GM and WM outside high-dose areas after stereotactic radiotherapy confirms the efficacy to spare normal brain tissue by the use of modern conformal radiotherapy techniques. Nonetheless, a critical minimal dose initiating rCBV changes is yet unknown.

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Year:  2000        PMID: 10924971     DOI: 10.1016/s0360-3016(00)00590-3

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  30 in total

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Review 2.  Individualized radiotherapy by combining high-end irradiation and magnetic resonance imaging.

Authors:  Stephanie E Combs; Fridtjof Nüsslin; Jan J Wilkens
Journal:  Strahlenther Onkol       Date:  2016-02-06       Impact factor: 3.621

Review 3.  Radiation dose-volume effects in the brain.

Authors:  Yaacov Richard Lawrence; X Allen Li; Issam el Naqa; Carol A Hahn; Lawrence B Marks; Thomas E Merchant; Adam P Dicker
Journal:  Int J Radiat Oncol Biol Phys       Date:  2010-03-01       Impact factor: 7.038

4.  Perfusion imaging of meningioma by using continuous arterial spin-labeling: comparison with dynamic susceptibility-weighted contrast-enhanced MR images and histopathologic features.

Authors:  H Kimura; H Takeuchi; Y Koshimoto; H Arishima; H Uematsu; Y Kawamura; T Kubota; H Itoh
Journal:  AJNR Am J Neuroradiol       Date:  2006-01       Impact factor: 3.825

5.  A fully automated method for quantitative cerebral hemodynamic analysis using DSC-MRI.

Authors:  Atle Bjørnerud; Kyrre E Emblem
Journal:  J Cereb Blood Flow Metab       Date:  2010-01-20       Impact factor: 6.200

6.  Use of dynamic susceptibility-contrast MRI (DSC-MRI) to assess perfusion changes in the ipsilateral brain parenchyma from glioblastoma.

Authors:  Stephan Ulmer; Carsten Liess; Santosh Kesari; Nadine Otto; Torsten Straube; Olav Jansen
Journal:  J Neurooncol       Date:  2008-09-21       Impact factor: 4.130

7.  Evaluation of MR markers that predict survival in patients with newly diagnosed GBM prior to adjuvant therapy.

Authors:  Suja Saraswathy; Forrest W Crawford; Kathleen R Lamborn; Andrea Pirzkall; Susan Chang; Soonmee Cha; Sarah J Nelson
Journal:  J Neurooncol       Date:  2008-09-23       Impact factor: 4.130

8.  High-precision radiosurgical dose delivery by interlaced microbeam arrays of high-flux low-energy synchrotron X-rays.

Authors:  Raphaël Serduc; Elke Bräuer-Krisch; Erik A Siegbahn; Audrey Bouchet; Benoit Pouyatos; Romain Carron; Nicolas Pannetier; Luc Renaud; Gilles Berruyer; Christian Nemoz; Thierry Brochard; Chantal Rémy; Emmanuel L Barbier; Alberto Bravin; Géraldine Le Duc; Antoine Depaulis; François Estève; Jean A Laissue
Journal:  PLoS One       Date:  2010-02-03       Impact factor: 3.240

9.  The effects of propofol on cerebral perfusion MRI in children.

Authors:  Julie H Harreld; Kathleen J Helton; Roland N Kaddoum; Wilburn E Reddick; Yimei Li; John O Glass; Rakhee Sansgiri; Qing Ji; Tianshu Feng; Mary Edna Parish; Amar Gajjar; Zoltan Patay
Journal:  Neuroradiology       Date:  2013-05-15       Impact factor: 2.804

10.  Radiological progression of cerebral metastases after radiosurgery: assessment of perfusion MRI for differentiating between necrosis and recurrence.

Authors:  Friso W A Hoefnagels; Frank J Lagerwaard; Esther Sanchez; Cornelis J A Haasbeek; Dirk L Knol; Ben J Slotman; W Peter Vandertop
Journal:  J Neurol       Date:  2009-03-10       Impact factor: 4.849

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