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    <title>Scott J Wilderman | Theragnostic Imaging</title>
    <link>https://www.theragnostics.no/en/author/scott-j-wilderman/</link>
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    <description>Scott J Wilderman</description>
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      <title>Scott J Wilderman</title>
      <link>https://www.theragnostics.no/en/author/scott-j-wilderman/</link>
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      <title>Comparison of imaging-based bone marrow dosimetry methodologies and their dose-effect relationships in [177Lu]Lu-PSMA-617 RLT including a novel method with active marrow localization</title>
      <link>https://www.theragnostics.no/en/publications/peterson-2025-comparison/</link>
      <pubDate>Thu, 04 Dec 2025 00:00:00 +0000</pubDate>
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&lt;p&gt;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 [&lt;sup&gt;177&lt;/sup&gt;Lu]Lu-PSMA-617 radioligand therapy (&lt;sup&gt;177&lt;/sup&gt;Lu RLT). Four image-based dosimetry methodologies were applied to patients who received 2-bed position serial &lt;sup&gt;177&lt;/sup&gt;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&lt;sub&gt;aorta&lt;/sub&gt;); 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 [&lt;sup&gt;68&lt;/sup&gt;Ga]Ga-PSMA-11 PET/CT and [&lt;sup&gt;99m&lt;/sup&gt;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&lt;sub&gt;SC+PET&lt;/sub&gt;). 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&lt;sub&gt;aorta&lt;/sub&gt;, 2.5 Gy (range: 0.1-10.3 Gy) for MC, and 1.6 Gy (range: 0.1-4.6 Gy) for MC&lt;sub&gt;SC+PET&lt;/sub&gt;. The ADs from MIRD&lt;sub&gt;aorta&lt;/sub&gt; were not concordant with MIRD, MC, or MC&lt;sub&gt;SC+PET&lt;/sub&gt; (|CCC|&amp;lt; 0.01) and were generally underestimates. For 3 patients with high bone tumor burden, MC&lt;sub&gt;SC+PET&lt;/sub&gt; 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&lt;sub&gt;SC+PET&lt;/sub&gt; with Spearman rank correlations ranging from r = - 0.61 to r = - 0.88 (P &amp;lt; 0.01). Correlation with white blood cells at 6-months was also significant with r = - 0.80 (P &amp;lt; 0.01) for these three methods. MIRD&lt;sub&gt;aorta&lt;/sub&gt; 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 &lt;sup&gt;177&lt;/sup&gt;Lu RLT, especially if dosimetry-guided treatment planning is considered.&lt;/p&gt;
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