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Dosimetric effects of magnetic resonance imaging-assisted radiotherapy planning: Dose optimization for target volumes at high risk and analytic radiobiological dose evaluation

  • Ji Yeon Park
  • , Tae Suk Suh
  • , Jeong Woo Lee
  • , Kook Jin Ahn
  • , Hae Jin Park
  • , Bo Young Choe
  • , Semie Hong
    • University of Florida
    • The Catholic University of Korea
    • Konkuk University
    • Ajou University

    Research output: Contribution to journalArticlepeer-review

    4 Scopus citations

    Abstract

    Based on the assumption that apparent diffusion coefficients (ADCs) define high-risk clinical target volume (aCTVHR) in high-grade glioma in a cellularity-dependent manner, the dosimetric effects of aCTVHR-targeted dose optimization were evaluated in two intensity-modulated radiation therapy (IMRT) plans. Diffusion-weighted magnetic resonance (MR) images and ADC maps were analyzed qualitatively and quantitatively to determine aCTVHR in a high-grade glioma with high cellularity. After confirming tumor malignancy using the average and minimum ADCs and ADC ratios, the aCTVHR with double- or triple-restricted water diffusion was defined on computed tomography images through image registration. Doses to the aCTVHR and CTV defined on T1-weighted MR images were optimized using a simultaneous integrated boost technique. The dosimetric benefits for CTVs and organs at risk (OARs) were compared using dose volume histograms and various biophysical indices in an ADC map-based IMRT (IMRTADC) plan and a conventional IMRT (IMRTconv) plan. The IMRTADC plan improved dose conformity up to 15 times, compared to the IMRTconv plan. It reduced the equivalent uniform doses in the visual system and brain stem by more than 10% and 16%, respectively. The ADC-based target differentiation and dose optimization may facilitate conformal dose distribution to the aCTVHR and OAR sparing in an IMRT plan.

    Original languageEnglish
    Pages (from-to)1522-1530
    Number of pages9
    JournalJournal of Korean Medical Science
    Volume30
    Issue number10
    DOIs
    StatePublished - 2015

    Bibliographical note

    Publisher Copyright:
    © 2015 The Korean Academy of Medical Sciences.

    Keywords

    • Computer-Assisted
    • Diffusion magnetic resonance imaging
    • Glioma
    • Intensity-Modulated
    • Radiotherapy
    • Radiotherapy planning

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