Can<sup>177</sup>Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR PET? Findings from Multicenter Data

Before performing <sup>177</sup>Lu-DOTATATE therapy for neuroendocrine tumors, somatostatin receptor (SSTR) PET imaging is currently used to confirm sufficient tumor SSTR expression, but it also has potential to be used to personalize treatment by predicting absorbed doses to critical organs. This study aims to validate the predictive capability of SSTR PET in anticipating renal absorbed dose in the first cycle of <sup>177</sup>Lu-DOTATATE using a multicenter dataset to analyze and derive insights from a broader patient population. <b>Methods:</b> Retrospective data from 5 centers were included in this study: 1 in Canada (<i>n</i> = 25), 1 in Norway (<i>n</i> = 75), 1 in Sweden (<i>n</i> = 18), and 2 in the United States (<i>n</i> = 36 and <i>n</i> = 26). At each center, pretherapy SSTR PET/CT imaging and postcycle 1 <sup>177</sup>Lu imaging-based dosimetry were performed according to site-specific protocols. The mixed-effects model treating centers as random effects was developed using baseline SSTR PET renal uptake values to predict renal absorbed dose from <sup>177</sup>Lu-DOTATATE. Additionally, leave-one-center-out cross-validation and leave-one-sample-out cross-validation were implemented for external and internal validation, respectively, measuring mean absolute error and mean relative absolute error. <b>Results:</b> Across all participating centers, the median cycle 1 renal absorbed dose was 0.56 Gy/GBq (range, 0.14-1.27 Gy/GBq), whereas the median pretherapy SSTR PET renal uptake was 110.7 Bq/mL/MBq (range, 28.6-287.7 Bq/mL/MBq). The differences among center means were statistically significant for both absorbed dose and PET uptake (<i>P</i> < 0.0001 from 1-way ANOVA). A significant (<i>P</i> < 0.05) correlation was observed between kidney SSTR PET uptake and <sup>177</sup>Lu-DOTATATE absorbed dose for each center (center-specific coefficient of determination ranged from 0.14 to 0.53). When data across all centers were aggregated, the mixed-effects model achieved a coefficient of determination of 0.25 (<i>P</i> < 0.01), resulting in an mean absolute error of 0.15 Gy/GBq (SD, 0.11 Gy/GBq) and an mean relative absolute error of 28% (SD, 24%) for external validation and 0.12 Gy/GBq (SD, 0.10 Gy/GBq) and 22% (SD, 20%) for internal validation. <b>Conclusion:</b> The correlations observed between SSTR PET renal uptake and <sup>177</sup>Lu-DOTATATE absorbed dose to kidneys across a multicenter population are statistically significant yet modest. The prediction model achieved a mean relative absolute error 28% or less for both external and internal validation of PET-predicted absorbed doses. The intercenter differences suggest the need for standardized imaging protocols and dosimetry workflows.

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Journal
Journal of Nuclear Medicine
Published
2025-05-22
DOI
https://doi.org/10.2967/jnumed.124.269098
Primary Topic
Medical Imaging Techniques and Applications
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article
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article

Can177Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR PET? Findings from Multicenter Data

Johan Blakkisrud, Arman Rahmim, Katarina Sjögreen Gleisner, C. Uribe et al.
Journal of Nuclear Medicine
Medical Imaging Techniques and Applications
article

Can177Lu-DOTATATE Kidney Absorbed Doses be Predicted from Pretherapy SSTR PET? Findings from Multicenter Data

Johan Blakkisrud, Arman Rahmim, Katarina Sjögreen Gleisner, C. Uribe, Ka Kit Wong, Sara Kurkowska, Caroline Stokke, Azadeh Akhavanallaf, Zhong‐Lin Lu, Yuni K. Dewaraja, Thomas A. Hope, Jean‐Mathieu Beauregard, Avery Peterson, Chang Wang, Surekha Yadav
article en

Abstract

Before performing <sup>177</sup>Lu-DOTATATE therapy for neuroendocrine tumors, somatostatin receptor (SSTR) PET imaging is currently used to confirm sufficient tumor SSTR expression, but it also has potential to be used to personalize treatment by predicting absorbed doses to critical organs. This study aims to validate the predictive capability of SSTR PET in anticipating renal absorbed dose in the first cycle of <sup>177</sup>Lu-DOTATATE using a multicenter dataset to analyze and derive insights from a broader patient population. <b>Methods:</b> Retrospective data from 5 centers were included in this study: 1 in Canada (<i>n</i> = 25), 1 in Norway (<i>n</i> = 75), 1 in Sweden (<i>n</i> = 18), and 2 in the United States (<i>n</i> = 36 and <i>n</i> = 26). At each center, pretherapy SSTR PET/CT imaging and postcycle 1 <sup>177</sup>Lu imaging-based dosimetry were performed according to site-specific protocols. The mixed-effects model treating centers as random effects was developed using baseline SSTR PET renal uptake values to predict renal absorbed dose from <sup>177</sup>Lu-DOTATATE. Additionally, leave-one-center-out cross-validation and leave-one-sample-out cross-validation were implemented for external and internal validation, respectively, measuring mean absolute error and mean relative absolute error. <b>Results:</b> Across all participating centers, the median cycle 1 renal absorbed dose was 0.56 Gy/GBq (range, 0.14-1.27 Gy/GBq), whereas the median pretherapy SSTR PET renal uptake was 110.7 Bq/mL/MBq (range, 28.6-287.7 Bq/mL/MBq). The differences among center means were statistically significant for both absorbed dose and PET uptake (<i>P</i> < 0.0001 from 1-way ANOVA). A significant (<i>P</i> < 0.05) correlation was observed between kidney SSTR PET uptake and <sup>177</sup>Lu-DOTATATE absorbed dose for each center (center-specific coefficient of determination ranged from 0.14 to 0.53). When data across all centers were aggregated, the mixed-effects model achieved a coefficient of determination of 0.25 (<i>P</i> < 0.01), resulting in an mean absolute error of 0.15 Gy/GBq (SD, 0.11 Gy/GBq) and an mean relative absolute error of 28% (SD, 24%) for external validation and 0.12 Gy/GBq (SD, 0.10 Gy/GBq) and 22% (SD, 20%) for internal validation. <b>Conclusion:</b> The correlations observed between SSTR PET renal uptake and <sup>177</sup>Lu-DOTATATE absorbed dose to kidneys across a multicenter population are statistically significant yet modest. The prediction model achieved a mean relative absolute error 28% or less for both external and internal validation of PET-predicted absorbed doses. The intercenter differences suggest the need for standardized imaging protocols and dosimetry workflows.

Journal of Nuclear MedicineVol. 66(7)
Oslo University Hospital (NO), University of California, San Francisco (US), Lund University (SE), University of Michigan (US), University of California System (US), Université Laval (CA)
Zero hunger
Openalex Percentile: Top 82%
Medical Imaging Techniques and Applications
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