3D dosimetry estimation for selective internal radiation therapy (SIRT) using SPECT/CT images: a phantom study

Senait A. Debebe; Juan Franquiz; Anthony J. McGoron

doi:10.1117/12.2082383

18 March 2015 3D dosimetry estimation for selective internal radiation therapy (SIRT) using SPECT/CT images: a phantom study

Senait A. Debebe, Juan Franquiz, Anthony J. McGoron

Author Affiliations +

Proceedings Volume 9412, Medical Imaging 2015: Physics of Medical Imaging; 941234 (2015) https://doi.org/10.1117/12.2082383
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Selective Internal Radiation Therapy (SIRT) is a common way to treat liver cancer that cannot be treated surgically. SIRT involves administration of Yttrium – 90 (⁹⁰Y) microspheres via the hepatic artery after a diagnostic procedure using ^99mTechnetium (Tc)-macroaggregated albumin (MAA) to detect extrahepatic shunting to the lung or the gastrointestinal tract. Accurate quantification of radionuclide administered to patients and radiation dose absorbed by different organs is of importance in SIRT. Accurate dosimetry for SIRT allows optimization of dose delivery to the target tumor and may allow for the ability to assess the efficacy of the treatment. In this study, we proposed a method that can efficiently estimate radiation absorbed dose from ⁹⁰Y bremsstrahlung SPECT/CT images of liver and the surrounding organs. Bremsstrahlung radiation from ⁹⁰Y was simulated using the Compton window of ^99mTc (78keV at 57%). ^99mTc images acquired at the photopeak energy window were used as a standard to examine the accuracy of dosimetry prediction by the simulated bremsstrahlung images. A Liqui-Phil abdominal phantom with liver, stomach and two tumor inserts was imaged using a Philips SPECT/CT scanner. The Dose Point Kernel convolution method was used to find the radiation absorbed dose at a voxel level for a three dimensional dose distribution. This method will allow for a complete estimate of the distribution of radiation absorbed dose by tumors, liver, stomach and other surrounding organs at the voxel level. The method provides a quantitative predictive method for SIRT treatment outcome and administered dose response for patients who undergo the treatment.

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Senait A. Debebe, Juan Franquiz, and Anthony J. McGoron "3D dosimetry estimation for selective internal radiation therapy (SIRT) using SPECT/CT images: a phantom study", Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 941234 (18 March 2015); https://doi.org/10.1117/12.2082383

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KEYWORDS

Liver

Tumors

Single photon emission computed tomography

Stomach

Photons

Liver cancer

Radiotherapy

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