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- W2895593497 abstract "<sup>177</sup>Lu-prostate-specific membrane antigen (PSMA)–617 enables targeted delivery of β-particle radiation to prostate cancer. We determined its radiation dosimetry and relationships to pretherapeutic imaging and outcomes. <b>Methods:</b> Thirty patients with prostate cancer receiving <sup>177</sup>Lu-PSMA-617 within a prospective clinical trial (ACTRN12615000912583) were studied. Screening <sup>68</sup>Ga-PSMA-11 PET/CT demonstrated high PSMA expression in all patients. After therapy, patients underwent quantitative SPECT/CT at 4, 24, and 96 h. Pharmacokinetic uptake and clearance at a voxel level were calculated and translated into absorbed dose using voxel S values. Volumes of interest were drawn on normal tissues and tumor to assess radiation dose, and a whole-body tumor dose was defined. Correlations between PSMA PET/CT parameters, dosimetry, and biochemical and therapeutic response were analyzed to identify relationships between absorbed dose, tumor burden, and patient physiology. <b>Results:</b> Mean absorbed dose to kidneys, submandibular and parotid glands, liver, spleen, and bone marrow was 0.39, 0.44, 0.58, 0.1, 0.06, and 0.11 Gy/MBq, respectively. Median whole-body tumor-absorbed dose was 11.55 Gy and correlated with prostate-specific antigen (PSA) response at 12 wk. A median dose of 14.1 Gy was observed in patients achieving a PSA decline of at least 50%, versus 9.6 Gy for those achieving a PSA decline of less than 50% (<i>P</i> < 0.01). Of 11 patients receiving a tumor dose of less than 10 Gy, only one achieved a PSA response of at least 50%. On screening PSMA PET, whole-body tumor SUV<sub>mean</sub> correlated with mean absorbed dose (<i>r</i> = 0.62), and SUV<sub>max</sub> of the parotids correlated with absorbed dose (<i>r</i> = 0.67). There was an inverse correlation between tumor volume and mean dose to the parotids (<i>r</i> = −0.41) and kidneys (<i>r</i> = −0.43). The mean parotid dose was also reduced with increasing body mass (<i>r</i> = −0.41) and body surface area (<i>r</i> = −0.37). <b>Conclusion:</b><sup>177</sup>Lu-PSMA-617 delivers high absorbed doses to tumor, with a significant correlation between whole-body tumor dose and PSA response. Patients receiving less than 10 Gy were unlikely to achieve a fall in PSA of at least 50%. Significant correlations between aspects of screening <sup>68</sup>Ga-PET/CT and tumor and normal tissue dose were observed, providing a rationale for patient-specific dosing. Reduced salivary and kidney doses were observed in patients with a higher tumor burden. The parotid dose also reduced with increasing body mass and body surface area." @default.
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- W2895593497 date "2018-10-05" @default.
- W2895593497 modified "2023-10-18" @default.
- W2895593497 title "Dosimetry of <sup>177</sup>Lu-PSMA-617 in Metastatic Castration-Resistant Prostate Cancer: Correlations Between Pretherapeutic Imaging and Whole-Body Tumor Dosimetry with Treatment Outcomes" @default.
- W2895593497 cites W1140456871 @default.
- W2895593497 cites W1490266165 @default.
- W2895593497 cites W1497206380 @default.
- W2895593497 cites W1900676315 @default.
- W2895593497 cites W1964713829 @default.
- W2895593497 cites W1965617754 @default.
- W2895593497 cites W1968405341 @default.
- W2895593497 cites W1973942000 @default.
- W2895593497 cites W1974505317 @default.
- W2895593497 cites W2000340774 @default.
- W2895593497 cites W2005574374 @default.
- W2895593497 cites W2005761045 @default.
- W2895593497 cites W2009041257 @default.
- W2895593497 cites W2011660334 @default.
- W2895593497 cites W2014544986 @default.
- W2895593497 cites W2014999922 @default.
- W2895593497 cites W2017183061 @default.
- W2895593497 cites W2017884723 @default.
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- W2895593497 cites W2053554578 @default.
- W2895593497 cites W2055191735 @default.
- W2895593497 cites W2080677976 @default.
- W2895593497 cites W2105337740 @default.
- W2895593497 cites W2116085429 @default.
- W2895593497 cites W2127498681 @default.
- W2895593497 cites W2133267052 @default.
- W2895593497 cites W2134364976 @default.
- W2895593497 cites W2154289925 @default.
- W2895593497 cites W2154474830 @default.
- W2895593497 cites W2163857638 @default.
- W2895593497 cites W2167090712 @default.
- W2895593497 cites W2278465954 @default.
- W2895593497 cites W2302508993 @default.
- W2895593497 cites W2303817381 @default.
- W2895593497 cites W2312724636 @default.
- W2895593497 cites W2326657743 @default.
- W2895593497 cites W2346293763 @default.
- W2895593497 cites W2397136240 @default.
- W2895593497 cites W2415973042 @default.
- W2895593497 cites W2467018059 @default.
- W2895593497 cites W2516454849 @default.
- W2895593497 cites W2523192478 @default.
- W2895593497 cites W2532226140 @default.
- W2895593497 cites W2544324436 @default.
- W2895593497 cites W2728713011 @default.
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- W2895593497 doi "https://doi.org/10.2967/jnumed.118.219352" @default.
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