Clinical evaluation of tissue-dependent and spatially-variant positron range correction for Gallium-68 PET imaging.

Gavriilidis, Prodromos; Koole, Michel; Mottaghy, Felix M; Jansen, Floris P; Wierts, Roel · Eur J Nucl Med Mol Imaging · 2026

prospective_cohort · Level II

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Abstract

Positron range correction (PRC) can mitigate the effect of the larger positron range on the image quality of Gallium-68 (<sup>68</sup>Ga) PET-imaging. The aim of this study is to evaluate the improvement in <sup>68</sup>Ga-PET image quality by applying a tissue-dependent and spatially-variant PRC (TDSV PRC) for <sup>68</sup>Ga in a clinical setting. A TDSV PRC technique was developed employing CT-driven segmentation masks of different tissue types (soft tissue, bone, lung) and the corresponding tissue-specific positron range kernels. OSEM reconstructions were performed using the proposed TDSV PRC, a tissue-independent PRC, and without any PRC (non-PRC). For lesions identified in [<sup>68</sup>Ga]Ga-DOTATOC or [<sup>68</sup>Ga]Ga-PSMA PET/CT data from 20 patients, the maximum standardized uptake value (SUV<sub>max</sub>) and contrast-to-noise ratio (CNR) of this technique was compared to tissue-independent PRC and non-PRC images. A total of 93 lesions were analyzed (48 soft tissue, 35 bone, 10 lung lesions). For soft tissue lesions, TDSV and tissue-independent PRC showed similar increases in SUV<sub>max</sub> (13.7%, p < 0.001 vs. 13.6%, p < 0.001) and CNR (11.0%, p < 0.001 vs. 11.1%, p < 0.001) compared to non-PRC. For bone lesions, tissue-independent PRC showed slightly higher not statistically significant increases than TDSV PRC in SUV<sub>max</sub> (18.6%, p < 0.001 vs. 17.4%, p < 0.001) and CNR (14.6%, p < 0.001 vs. 13.8%, p < 0.001). In lung lesions, TDSV PRC increased SUV<sub>max</sub> and CNR compared to non-PRC (SUV<sub>max</sub>: 57.9%, p = 0.012; CNR: 43.9%, p = 0.012) and tissue-independent PRC (SUV<sub>max</sub>: 46.0%, p = 0.012; CNR: 32.5%, p = 0.012). TDSV PRC for <sup>68</sup>Ga PET/CT demonstrated to be feasible in clinical patient data, showing the greatest benefits for lung lesions.

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