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ArticleAnnals of nuclear medicine2026

Quantitative SPECT imaging for predicting therapeutic response to lutetium-177 DOTATATE in neuroendocrine tumors.

Yuichiro Furuya, Masakazu Tsujimoto, Tsubasa Asai, Isanori Iwama, Hisashi Hattori, Yoshitaka Inaba

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Article in Annals of nuclear medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Yuichiro FuruyaDepartment of Diagnostic and Interventional Radiology, Aichi Cancer Center Hospital, 1-1, Kanokoden, Chikusa-Ku, Nagoya, 464-8681, Aichi, Japan. yfuruya@aichi-cc.jp.ORCID http://orcid.org/0009-0003-7236-5025
Masakazu TsujimotoDepartment of Molecular Imaging, School of Medical Sciences, Fujita Health University, 1-98, Dengakugakubo, Kutsukake, Toyoake, 470-1192, Japan.
Tsubasa AsaiDepartment of Diagnostic and Interventional Radiology, Aichi Cancer Center Hospital, 1-1, Kanokoden, Chikusa-Ku, Nagoya, 464-8681, Aichi, Japan.
Isanori IwamaDepartment of Diagnostic and Interventional Radiology, Aichi Cancer Center Hospital, 1-1, Kanokoden, Chikusa-Ku, Nagoya, 464-8681, Aichi, Japan.
Hisashi HattoriDepartment of Diagnostic and Interventional Radiology, Aichi Cancer Center Hospital, 1-1, Kanokoden, Chikusa-Ku, Nagoya, 464-8681, Aichi, Japan.
Yoshitaka InabaDepartment of Diagnostic and Interventional Radiology, Aichi Cancer Center Hospital, 1-1, Kanokoden, Chikusa-Ku, Nagoya, 464-8681, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs the incidence of neuroendocrine tumors (NETs) increases, Lutetium-177 (Lu-177) DOTATATE targeted radionuclide therapy (TRT) has become a vital treatment strategy. However, its prolonged course makes early prediction of response challenging, and current predictive methods like dosimetry are complex. Therefore, a simpler, earlier prediction method is needed for timely treatment planning. This study aimed to investigate whether quantitative metrics from a single, initial post-therapy single-photon emission computed tomography / computed tomography (SPECT/CT) image could predict the final treatment response.

methodsThis retrospective, single-center study included 17 patients (60 tumor lesions) receiving Lu-177 DOTATATE TRT. Patients were classified into G1, G2, and G3/neuroendocrine carcinoma (NEC) groups according to the World Health Organization (WHO) 2019 classification. When multiple lesions with discrepant grades were present, the highest grade was assigned for patient-level classification. Tumor volume and maximum standardized uptake value (SUVmax) were calculated from initial and final post-therapy SPECT images using an adaptive thresholding method. Response was evaluated based on a ≥ 50% reduction in tumor volume. Statistical analyses included one-way analysis of variance (ANOVA) and Pearson's correlation.

resultsA higher initial post-therapy SUVmax tended to correlate with a better volumetric response. In an exploratory analysis, all lesions (n = 8) with an initial post-therapy SUVmax exceeding 55 achieved a volumetric response, yielding a positive predictive value of 100% for this subgroup. The overall response rates for tumor volume and SUVmax were 71.7% and 65.0%, respectively. Additionally, G3/NEC tumors showed a significantly greater initial volume reduction than G2 tumors (p = 0.042).

conclusionsOur findings suggest that the initial post-therapy SUVmax from a single SPECT/CT acquisition may serve as a promising exploratory predictor of early volumetric response to Lu-177 DOTATATE TRT. While this metric is clinically intriguing, it may reflect treatment-induced necrosis or edema rather than durable tumor control, particularly in high-grade tumors. Therefore, its relationship with long-term clinical endpoints such as progression-free survival remains to be established. This streamlined approach could contribute to personalized medicine, though further validation is required.

Indexed as

Lutetium-177 DOTATATENeuroendocrine tumorsQuantitative SPECT/CTResponse predictionTargeted radionuclide therapy

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.