Optimal follow-up with somatostatin receptor PET/CT imaging in patients with small intestinal neuroendocrine tumours.

Somatostatin receptor positron emission tomography with computerised tomography imaging (SRI) has a high sensitivity for the detection of small intestinal neuroendocrine tumors (siNET), which makes it ideal for follow-up. The aim of the present study was to investigate whether follow-up with SRI in patients with siNET led to any change in the treatment of the patient and if patient and/or tumour factors were associated with such change. Adults with siNET who had undergone at least two SRI scans between 2013 and 2021 were identified. Data on age, sex, comorbidities, tumour stage, grade, and most recent levels of serum Chromogranin A (CgA) and 24-h urine 5-hydroxyindoleacetic acid (5-HIAA) before each SRI scan were obtained. The major change was defined as new treatment previously not received or discontinuation of ongoing treatment. Univariate and multivariate mixed models logistic regression on variables with a presumed biological relationship with major change and with backwards stepwise exclusion of variables with p > .1 was performed. A total of 164 patients with siNET diagnosis had undergone 570 SRI scans. The median follow-up was 3.1 years. Only 82 of 570, 14%, of SRI scans led to a major change in treatment. Female sex, age below 75 years, elevated or missing CgA, elevated or missing urine 5-HIAA, progress on last SRI scan and distant extrahepatic disease were all independently associated with increased odds ratios for major change after follow-up with SRI. A small proportion of SRI scans (14%) led to a major change in treatment. Six independent risk factors with increased odds of major change, all available before each SRI scan, were identified. While validation of these risk factors is needed in a separate cohort, these findings could help clinicians individualise follow-up for siNET patients in the future.

AI-based quantification of whole-body tumour burden on somatostatin receptor PET/CT.

BACKGROUND: Segmenting the whole-body somatostatin receptor-expressing tumour volume (SRETVwb) on positron emission tomography/computed tomography (PET/CT) images is highly time-consuming but has shown value as an independent prognostic factor for survival. An automatic method to measure SRETVwb could improve disease status assessment and provide a tool for prognostication. This study aimed to develop an artificial intelligence (AI)-based method to detect and quantify SRETVwb and total lesion somatostatin receptor expression (TLSREwb) from [68Ga]Ga-DOTA-TOC/TATE PET/CT images. METHODS: A UNet3D convolutional neural network (CNN) was used to train an AI model with [68Ga]Ga-DOTA-TOC/TATE PET/CT images, where all tumours were manually segmented with a semi-automatic method. The training set consisted of 148 patients, of which 108 had PET-positive tumours. The test group consisted of 30 patients, of which 25 had PET-positive tumours. Two physicians segmented tumours in the test group for comparison with the AI model. RESULTS: There were good correlations between the segmented SRETVwb and TLSREwb by the AI model and the physicians, with Spearman rank correlation coefficients of r = 0.78 and r = 0.73, respectively, for SRETVwb and r = 0.83 and r = 0.81, respectively, for TLSREwb. The sensitivity on a lesion detection level was 80% and 79%, and the positive predictive value was 83% and 84% when comparing the AI model with the two physicians. CONCLUSION: It was possible to develop an AI model to segment SRETVwb and TLSREwb with high performance. A fully automated method makes quantification of tumour burden achievable and has the potential to be more widely used when assessing PET/CT images.

Relationship between somatostatin receptor expressing tumour volume and health-related quality of life in patients with metastatic GEP-NET.

For patients with gastroenteropancreatic neuroendocrine tumours (GEP-NET), health-related quality of life (HRQoL) is important. Meanwhile, whether tumour volume is associated with HRQoL is unknown. Hence, the aim of this study was to assess if total somatostatin receptor expressing tumour volume is correlated with HRQoL in patients with metastatic GEP-NET. Some 71 patients were included in the study. HRQoL and NET-specific symptoms were assessed with EORTC QLQ-C30 and EORTC GI.NET21. A summary score was calculated from the output of the QLQ-C30. Total somatostatin receptor expressing tumour volume was retrospectively evaluated on somatostatin receptor imaging with positron emission tomography-computed tomography (68 Ga-DOTA-TATE/TOC PET-CT) in each patient. Simple and multiple linear regression were used to evaluate the correlation between tumour volume and HRQoL, controlling for potential confounders. No correlation was found between total somatostatin receptor expressing tumour volume and QLQ-C30 summary score. Weak positive correlations were found between total tumour volume and the specific symptoms dyspnoea, diarrhoea and flushing. To the best of our knowledge, this is the first study to evaluate the association between total somatostatin expressing tumour volume and HRQoL. Our results indicate that, while tumour volume is weakly associated with symptom severity of the carcinoid syndrome, other factors might impact more on overall HRQoL.

A Prospective Observational Study to Evaluate the Effects of Long-Acting Somatostatin Analogs on 68Ga-DOTATATE Uptake in Patients with Neuroendocrine Tumors.

Patients with neuroendocrine tumors (NETs) are often treated with somatostatin analogs (SSAs) for control of symptoms and tumor growth. Such therapy could theoretically lead to misinterpretation of somatostatin receptor imaging with 68Ga-DOTATATE PET/CT by interfering with tracer-receptor binding. Guidelines recommend an interval of 3-4 wk between the last dose and imaging. The aim of this study was to evaluate if long-acting (LA) SSA treatment changes the uptake of 68Ga-DOTATATE in patients with NETs. Methods: From 2013 to 2016, 296 patients with, or under evaluation for, NETs were included in this prospective observational study. The effect of LA SSA on tracer uptake was evaluated in 2 main patient populations: those undergoing 68Ga-DOTATATE PET/CT before starting LA SSA treatment and at least once afterward, and those receiving ongoing LA SSA therapy, in whom the effect of the interval between the last dose of LA SSA and the PET/CT exam was analyzed. A third, explorative, analysis was performed to evaluate if clinical disease progression, regression, or stable tumor status changed the uptake of 68Ga-DOTATATE. In the 3 analyses, measurements of SUVmax in normal liver and tumor lesions were compared. Results: The median SUVmax in normal liver was significantly higher before treatment (8.6; interquartile range, 7.4-10.2) than after treatment initiation (6.0; 4.7-8.0) (P < 0.001). No significant changes in SUVmax were seen in tumor lesions after treatment initiation. No significant differences in SUVmax were found in normal liver or tumor lesions dependent on the interval between last dose of LA SSA and PET/CT. Conclusion: Treatment with LA SSA does not change SUVmax in tumor lesions, whereas SUVmax in normal liver is significantly lower after treatment. The findings have implications for interpretation of 68Ga-DOTATATE PET/CT for response assessment after SSA therapy and for guidelines on discontinuation of treatment before PET/CT.