Cumulative Absorbed Dose and Successive Cyclic Reduction in Absorbed Dose Predict Response to <sup>177</sup> Lu-DOTATATE in Neuroendocrine Tumors
The aim of this study was to use image-derived dose metrics to predict the radiologic response of neuroendocrine tumors treated with [<sup>177</sup>Lu]Lu-DOTATATE. Particular focus was given to the evaluation of cyclic changes in absorbed dose per administered activity (AD/AA) as a potential prognostic factor. <b>Methods:</b> Data from 73 patients enrolled in the multicenter OZM-067 trial (NCT02743741) were analyzed. All patients who received 4 cycles of [<sup>177</sup>Lu]Lu-DOTATATE and underwent SPECT/CT imaging at 3 time points after each treatment were included. Tumor dosimetry was based on semiautomatic adaptive-threshold segmentations and recovery coefficient-based partial-volume correction; tumors smaller than 10 cm³ were excluded. If multiple tumors were segmented per patient, the mean absorbed dose (AD) and AD/AA were recorded at each cycle. Radiologic response was assessed using RECIST 1.1 criteria. <b>Results:</b> A significant decrease in AD/AA across cycles was observed, with a median decline of approximately 10% per cycle. Within this cohort, 28 patients had a partial response, 33 had stable disease, and 12 experienced disease progression. Responders exhibited a higher mean cumulative AD and greater decreases in AD/AA in successive cycles when compared with nonresponders. These metrics were uncorrelated predictors of response (<i>P</i> = 0.64). Notably, all 8 patients with an AD of at least 100 Gy and a decrease of at least 50% in AD/AA between cycles 1 and 4 were responders. Quantitative models combining AD and changes in AD/AA achieved an area under the receiver-operating-characteristic curve of 0.78. <b>Conclusion:</b> Both AD and changes in AD/AA were independently associated with radiologic response to [<sup>177</sup>Lu]Lu-DOTATATE in patients with neuroendocrine tumors. The consistent decrease in AD/AA over a course of therapy suggests a potential imaging biomarker that could inform adaptive treatment strategies, which should be further evaluated in a prospective setting and considered when designing dosimetry-guided [<sup>177</sup>Lu]Lu-DOTATATE trials.
Authors
- Rosalyn A. Juergens (ORCID: https://orcid.org/0000-0001-8627-4704)
- David L. Laidley
- Brandon Driscoll
- Sten Myrehaug (ORCID: https://orcid.org/0000-0002-5765-1969)
- Julia Publicover
- Daniel R. McGowan (ORCID: https://orcid.org/0000-0002-6880-5687)
- Katherine A. Vallis (ORCID: https://orcid.org/0000-0003-4672-5683)
- Rlc Wong
- Ivan Yeung
- Ur Metser
- Mark J. Macsuka
Institutions
- Western University (CA)
- Sunnybrook Health Science Centre (CA)
- University Health Network (CA)
- University of Toronto (CA)
- Juravinski Cancer Centre (CA)
- Juravinski Hospital (CA)
- Southlake Regional Health Center (CA)
- Health Sciences Centre (CA)
- Princess Margaret Cancer Centre (CA)
- University of Oxford (GB)
- Oxford University Hospitals NHS Trust (GB)
Publication Details
- Journal
- Journal of Nuclear Medicine
- Published
- 2026-01-29
- DOI
- https://doi.org/10.2967/jnumed.125.271039
- Primary Topic
- Neuroendocrine Tumor Research Advances
- Type
- article
- Field-Weighted Citation Impact
- 0.00