International Journal of Radiation Oncology * Biology * Physics
Volume 76, Issue 3, Supplement , Pages S20-S27 , 1 March 2010

Radiation Dose–Volume Effects in the Brain

  • Yaacov Richard Lawrence, M.R.C.P.

      Affiliations

    • Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA
    • Corresponding Author InformationReprint requests to: Yaacov Richard Lawrence, M.R.C.P., Department of Radiation Oncology, Jefferson Medical College of Thomas Jefferson University, Bodine Cancer Center, 111 S. 11th St., Philadelphia, PA 19107. Tel: (215) 955-6700; Fax: (215) 955-0412
  • ,
  • X. Allen Li, Ph.D.

      Affiliations

    • Department of Radiation Oncology, Medical College of Wisconsin, Milwaukee, WI
  • ,
  • Issam el Naqa, Ph.D.

      Affiliations

    • Department of Radiation Oncology, Washington University School of Medicine, St. Louis, MO
  • ,
  • Carol A. Hahn, M.D.

      Affiliations

    • Department of Radiation Oncology, Duke University Medical Center, Durham, NC
  • ,
  • Lawrence B. Marks, M.D.

      Affiliations

    • Department of Radiation Oncology, University of North Carolina, Chapel Hill, NC
  • ,
  • Thomas E. Merchant, D.O. Ph.D.

      Affiliations

    • Department of Radiation Oncology, St. Jude Children's Research Hospital, Memphis, TN
  • ,
  • Adam P. Dicker, M.D. Ph.D.

      Affiliations

    • Department of Radiation Oncology, Thomas Jefferson University, Philadelphia, PA

Received 26 November 2008 ,Revised 24 February 2009 ,Accepted 27 February 2009.

  • Image Result

    Relationship between volume receiving high-dose irradiation and incidence of radiation necrosis in single-fraction stereotactic radiosurgery. Studies differed in their completeness of follow-up, defin

    Relationship between volume receiving high-dose irradiation and incidence of radiation necrosis in single-fraction stereotactic radiosurgery. Studies differed in their completeness of follow-up, definition of volume, and definition of radiation necrosis. Graph based on data presented in Table 1. Volume plotted as a point, representing mid-point of volume range. V10 = volume receiving 10 Gy; V12 = volume receiving 12 Gy; RxV = treatment volume. Flickinger data is shown for patients with either radiologic or symptomatic evidence of necrosis (marked as "All"), or only those with symptomatic necrosis (Symp). The other authors' data refers to symptomatic necrosis.

  • Image Result
    Relationship between biologically effective dose (BED) and radiation necrosis after fractionated radiotherapy. Fit was done using nonlinear least-squares algorithm using Matlab software (The MathWorks

    Relationship between biologically effective dose (BED) and radiation necrosis after fractionated radiotherapy. Fit was done using nonlinear least-squares algorithm using Matlab software (The MathWorks, Natick, MA). Nonlinear function chosen was probit model (similar functional form to Lyman model). Dotted lines represent 95% confidence levels; each dot represents data from specific study (Table 2), n = patient numbers as shown. (a) Fraction size <2.5 Gy; (b) fraction size ≥2.5 Gy (data too scattered to allow plotting of “best-fit” line); and (c) twice-daily radiotherapy.

 Y. R. Lawrence is supported by The ASCO Cancer Foundation Young Investigator Award. Any opinions, findings, and conclusions expressed in this material are those of the author(s) and do not necessarily reflect those of the American Society of Clinical Oncology or The ASCO Cancer Foundation. L. B. Marks is supported by NIH R01 69579 and the Lance Armstrong Foundation.

 A. P. Dicker is supported by National Institutes of Health Grant CA10663, Tobacco Research Settlement Fund (State of Pennsylvania), and the Christine Baxter Fund.

 Conflict of interest: none.

PII: S0360-3016(09)03287-8

doi: 10.1016/j.ijrobp.2009.02.091

International Journal of Radiation Oncology * Biology * Physics
Volume 76, Issue 3, Supplement , Pages S20-S27 , 1 March 2010