title: Patient dosimetry for 90Y selective internal radiation treatment based on 90Y PET imaging.
abstract: Until recently, the radiation dose to patients undergoing the 90Y selective internal radiation treatment (SIRT) procedure is determined by applying the partition model to 99mTc MAA pretreatment scan. There can be great uncertainty in radiation dose calculated from this approach and we presented a method to compute the 3D dose distributions resulting from 90Y SIRT based on 90Y positron emission tomography (PET) imaging. Five 90Y SIRT treatments were retrospectively analyzed. After 90Y SIRT, patients had 90Y PET/CT imaging within 6 hours of the procedure. To obtain the 3D dose distribution of the patients, their respective 90Y PET images were convolved with a Monte Carlo generated voxel dose kernel. The sensitivity of the PET/CT scanner for 90Y was determined through phantom studies. The 3D dose distributions were then presented in DICOM RT dose format. By applying the linear quadratic model to the dose data, we derived the biologically effective dose and dose equivalent to 2 Gy/fraction delivery, taking into account the spatial and temporal dose rate variations specific for SIRT. Based on this data, we intend to infer tumor control probability and risk of radiation induced liver injury from SIRT by comparison with established dose limits. For the five cases, the mean dose to target ranged from 51.7 ± 28.6 Gy to 163 ± 53.7 Gy. Due to the inhomogeneous nature of the dose distribution, the GTVs were not covered adequately, leading to very low values of tumor control probability. The mean dose to the normal liver ranged from 21.4 ± 30.7 to 36.7 ± 25.9 Gy. According to QUANTEC recommendation, a patient with primary liver cancer and a patient with metastatic liver cancer has more than 5% risk of radiotherapy-induced liver disease (RILD).
authors.affiliation: Queen Mary Hospital. ngchoryi@yahoo.com.
authors.forename: Sherry C
authors.initials: SC
authors.lastname: Ng
authors.forename: Victor H
authors.initials: VH
authors.lastname: Lee
authors.forename: Martin W
authors.initials: MW
authors.lastname: Law
authors.forename: Rico K
authors.initials: RK
authors.lastname: Liu
authors.forename: Vivian W
authors.initials: VW
authors.lastname: Ma
authors.forename: Wai Kuen
authors.initials: WK
authors.lastname: Tso
authors.forename: To Wai
authors.initials: TW
authors.lastname: Leung
mesh_terms: D000368:Aged; D001918:Brachytherapy; D006528:Carcinoma, Hepatocellular / Q000000981:diagnostic imaging* / Q000473:pathology / Q000532:radiotherapy; D015179:Colorectal Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology / Q000532:radiotherapy; D006801:Humans; D008113:Liver Neoplasms / Q000000981:diagnostic imaging* / Q000532:radiotherapy / Q000556:secondary; D008297:Male; D008875:Middle Aged; D064847:Multimodal Imaging; D049268:Positron-Emission Tomography; D011874:Radiometry; D019275:Radiopharmaceuticals; D014018:Tissue Distribution; D014057:Tomography, X-Ray Computed; D015021:Yttrium Radioisotopes / Q000493:pharmacokinetics*
chemical_list: D019275:Radiopharmaceuticals; D015021:Yttrium Radioisotopes
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