Biodistribution and Radiation Dosimetry for [<sup>68</sup>Ga]Ga-LNTH-1363S, a Probe Targeting Fibroblast Activation Protein α

The objective of this study is to evaluate the PET biodistribution and radiation dosimetry of the fibroblast activation protein (FAP)-targeted tracer [<sup>68</sup>Ga]Ga-LNTH-1363S in cancer patients. <b>Methods:</b> Five patients with oncologic diseases (breast cancer, papillary thyroid carcinoma) were injected intravenously with 153-184 MBq of [<sup>68</sup>Ga]Ga-LNTH-1363S. PET/CT imaging was performed at 10, 60, and 180 min after administration of [<sup>68</sup>Ga]Ga-LNTH-1363S. Normal tissue dosimetry was performed following the MIRD dosimetry formalism. SUV analysis of normal tissues and tumors was performed. <b>Results:</b> The biodistribution of [<sup>68</sup>Ga]Ga-LNTH-1363S demonstrated rapid tumor uptake and efficient clearance from nontarget tissues, resulting in high tumor-to-background ratios at all imaging time points. The kidneys received the highest absorbed dose among normal tissues (0.038 ± 0.01 mGy/MBq), followed by the pancreas and salivary glands. The tumor SUV<sub>max</sub> peaked at 10 min after injection (18.6 ± 7.2) and remained high at later time points. No adverse events were observed during follow-up, and the effective dose (0.013 ± 0.002 mSv/MBq) was consistent with other FAP tracers. <b>Conclusion:</b> [<sup>68</sup>Ga]Ga-LNTH-1363S offers favorable dosimetry and biodistribution profiles, comparable with other FAP-targeted tracers.

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Publication Details

Journal
Journal of Nuclear Medicine
Published
2025-06-18
DOI
https://doi.org/10.2967/jnumed.125.269793
Citations
2
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
2.09
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article

Biodistribution and Radiation Dosimetry for [68Ga]Ga-LNTH-1363S, a Probe Targeting Fibroblast Activation Protein α

Bradley W. Schuller, Ralph A. Bundschuh, Alejandro Amor Coarasa, John W. Babich et al.
2 citations
Journal of Nuclear Medicine
Peptidase Inhibition and Analysis
2.09
article

Biodistribution and Radiation Dosimetry for [68Ga]Ga-LNTH-1363S, a Probe Targeting Fibroblast Activation Protein α

Bradley W. Schuller, Ralph A. Bundschuh, Alejandro Amor Coarasa, John W. Babich, Andreas Rinscheid, Emily E. Fenn, Marianne Patt, Malte Kircher, Johanna S. Enke, Jacob Hesterman, Constantin Lapa, Christian H. Pfob, Lisa Glantschnig, Alexander Dierks
article en
2 citations

Abstract

The objective of this study is to evaluate the PET biodistribution and radiation dosimetry of the fibroblast activation protein (FAP)-targeted tracer [<sup>68</sup>Ga]Ga-LNTH-1363S in cancer patients. <b>Methods:</b> Five patients with oncologic diseases (breast cancer, papillary thyroid carcinoma) were injected intravenously with 153-184 MBq of [<sup>68</sup>Ga]Ga-LNTH-1363S. PET/CT imaging was performed at 10, 60, and 180 min after administration of [<sup>68</sup>Ga]Ga-LNTH-1363S. Normal tissue dosimetry was performed following the MIRD dosimetry formalism. SUV analysis of normal tissues and tumors was performed. <b>Results:</b> The biodistribution of [<sup>68</sup>Ga]Ga-LNTH-1363S demonstrated rapid tumor uptake and efficient clearance from nontarget tissues, resulting in high tumor-to-background ratios at all imaging time points. The kidneys received the highest absorbed dose among normal tissues (0.038 ± 0.01 mGy/MBq), followed by the pancreas and salivary glands. The tumor SUV<sub>max</sub> peaked at 10 min after injection (18.6 ± 7.2) and remained high at later time points. No adverse events were observed during follow-up, and the effective dose (0.013 ± 0.002 mSv/MBq) was consistent with other FAP tracers. <b>Conclusion:</b> [<sup>68</sup>Ga]Ga-LNTH-1363S offers favorable dosimetry and biodistribution profiles, comparable with other FAP-targeted tracers.

Journal of Nuclear MedicineVol. 66(8)
Technische Hochschule Augsburg (DE), University of Augsburg (DE), University Hospital Augsburg (DE), RaNA Therapeutics (United States) (US), University Hospital Carl Gustav Carus (DE)
Openalex Percentile: Top 12%
Peptidase Inhibition and Analysis
2.09
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