Comparison of imaging-based bone marrow dosimetry methodologies and their dose-effect relationships in [<sup>177</sup>Lu]Lu-PSMA-617 RLT including a novel method with active marrow localization.
Authors
Affiliations (5)
Affiliations (5)
- Department of Radiology, University of Michigan, Ann Arbor, MI, 48109, USA. [email protected].
- Department of Radiation Oncology, Wayne State University, Detroit, MI, USA. [email protected].
- Department of Radiology, University of Michigan, Ann Arbor, MI, 48109, USA.
- Department of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, MI, USA.
- Department of Physics and Computational Radiology, Oslo University Hospital, Oslo, Norway.
Abstract
Establishing accurate methods for red marrow (RM) dosimetry is an important step toward patient-specific treatment guidance. We compared image-based dosimetry methods and investigated their role in predicting changes in blood counts following [<sup>177</sup>Lu]Lu-PSMA-617 radioligand therapy (<sup>177</sup>Lu RLT). Four image-based dosimetry methodologies were applied to patients who received 2-bed position serial <sup>177</sup>Lu SPECT/CT after cycle 1 of RLT, with segmentation of all spongiosa within the field-of-view performed on CT using deep learning tools. Cycle 1 RM absorbed doses (ADs) were estimated with: 1) the time-integrated activity (TIA) in segmented spongiosa coupled with MIRD-based S-values (MIRD); 2) the TIA concentration in the segmented aorta (a surrogate for blood-based dosimetry) coupled with MIRD-based S values (MIRD<sub>aorta</sub>); 3) the voxel-level TIA map coupled with an in-house Monte Carlo (MC) dosimetry code that incorporated a micro-scale modeling of the spongiosa (MC); and 4) a novel method that utilizes [<sup>68</sup>Ga]Ga-PSMA-11 PET/CT and [<sup>99m</sup>Tc]Tc-sulfur colloid (SC) SPECT/CT for tumor and marrow localization coupled with the above MC code, modified to allow tumor infiltration of the spongiosa (MC<sub>SC+PET</sub>). Spearman rank correlation of AD from the four methods with changes in select blood counts was evaluated. Imaging data was available for 20 patients for methods 1-3, while SC images were available for 12 patients for method 4. Cycle 1 AD to the FOV RM was, on average, 1.9 Gy (range: 0.1-8.0 Gy) for MIRD, 0.08 Gy (range: 0.01-0.27 Gy) for MIRD<sub>aorta</sub>, 2.5 Gy (range: 0.1-10.3 Gy) for MC, and 1.6 Gy (range: 0.1-4.6 Gy) for MC<sub>SC+PET</sub>. The ADs from MIRD<sub>aorta</sub> were not concordant with MIRD, MC, or MC<sub>SC+PET</sub> (|CCC|< 0.01) and were generally underestimates. For 3 patients with high bone tumor burden, MC<sub>SC+PET</sub> gave lower average AD than MIRD (39%) and MC (53%), potentially due to more accurate localization of marrow and tumor. Cycle 1 RM ADs were correlated with relative change in blood counts at 6-weeks post-cycle 1 with significant correlation observed for neutrophils with MIRD, MC, and MC<sub>SC+PET</sub> with Spearman rank correlations ranging from r = - 0.61 to r = - 0.88 (P < 0.01). Correlation with white blood cells at 6-months was also significant with r = - 0.80 (P < 0.01) for these three methods. MIRD<sub>aorta</sub> did not correlate with any acute or chronic changes in blood counts. The RM AD estimates from the blood-based surrogate were not concordant with the other image-based calculations and did not correlate with changes in blood values. Including patient-specific tumor and marrow distribution information resulted in lower AD for patients with a high bone metastatic burden. These findings have implications for managing hematological toxicities in <sup>177</sup>Lu RLT, especially if dosimetry-guided treatment planning is considered.