Early Dose Response to Yttrium-90 Microsphere Treatment of Metastatic Liver Cancer by a Patient-Specific Method Using Single Photon Emission Computed Tomography and Positron Emission Tomography

Janice M. Campbell, C. Oliver Wong, Otto Muzik, Brian Marples, Michael Joiner, Jay Burmeister

Research output: Contribution to journalArticlepeer-review

37 Scopus citations

Abstract

Purpose: To evaluate a patient-specific single photon emission computed tomography (SPECT)-based method of dose calculation for treatment planning of yttrium-90 (90Y) microsphere selective internal radiotherapy (SIRT). Methods and Materials: Fourteen consecutive 90Y SIRTs for colorectal liver metastasis were retrospectively analyzed. Absorbed dose to tumor and normal liver tissue was calculated by partition methods with two different tumor/normal liver vascularity ratios: an average 3:1 and a patient-specific ratio derived from pretreatment technetium-99m macroaggregated albumin SPECT. Tumor response was quantitatively evaluated from fluorine-18 fluoro-2-deoxy-D-glucose positron emission tomography scans. Results: Positron emission tomography showed a significant decrease in total tumor standardized uptake value (average, 52%). There was a significant difference in the tumor absorbed dose between the average and specific methods (p = 0.009). Response vs. dose curves fit by linear and linear-quadratic modeling showed similar results. Linear fit r values increased for all tumor response parameters with the specific method (+0.20 for mean standardized uptake value). Conclusion: Tumor dose calculated with the patient-specific method was more predictive of response in liver-directed 90Y SIRT.

Original languageEnglish (US)
Pages (from-to)313-320
Number of pages8
JournalInternational Journal of Radiation Oncology Biology Physics
Volume74
Issue number1
DOIs
StatePublished - May 1 2009
Externally publishedYes

Keywords

  • Dose response
  • Liver cancer
  • PET
  • SPECT
  • Yttrium-90 microsphere

ASJC Scopus subject areas

  • Radiation
  • Oncology
  • Radiology Nuclear Medicine and imaging
  • Cancer Research

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