Background Accurate quantification of iodine uptake is essential for performing pre-treatment dosimetry of ¹³¹I therapy after redifferentiation of radioiodine-refractory thyroid cancer. Standardized procedures for ¹²⁴I PET/CT-based dosimetry are currently lacking. We aim to evaluate the relation between ¹⁸F and ¹²⁴I imaging for two different PET/CT scanners, the effect of bias correction on recovery across scanners and investigate the impact of clinically-encountered background (BG)-to-lesion ratios on recovery correction. Methods Cylindrical and NEMA body phantoms were scanned following vendor-recommended ¹²⁴I acquisition using clinically representative activity concentrations (5.6–5.7 kBq/mL in cylindrical phantom, 45.1–59.2 kBq/mL in NEMA spheres) and BG-to-sphere ratios (∼1:125 to 1:infinity) using two digital PET/CT scanners (Philips Vereos and GE Healthcare Omni). Additionally, BG-to-sphere ratio ∼1:10 was acquired to compare ¹²⁴I to the EARL ¹⁸F standards 1 (EARL1). Calibration accuracy and recovery coefficients (RC_max, RC_mean) were compared between scanners with and without bias correction. Results ¹²⁴I recovery was ∼20% higher for the Omni compared to the Vereos, showing calibration accuracies of 1.12–1.15 vs. 0.94, and RC_mean reaching 0.86 vs. 0.69. After bias correction, RC_mean was comparable between scanners ('1%) but below the lower limits of EARL1. A single fit for recovery correction (R² = 0.97) was obtained for different BG-to-sphere ratios for both scanners as RC_mean was comparable (p ' 0.4). Conclusion Vendor-recommended ¹²⁴I acquisition and reconstruction leads to differences in quantification but can be compensated using a bias correction. Recovery correction is minimally affected by different BG-to-lesion ratios, suggesting that one RC curve is sufficient, simplifying ¹²⁴I calibration procedures in studies requiring ¹²⁴I quantification.

Purpose: This study aims to systematically review and perform a meta-analysis to compare the diagnostic performance of fibroblast activation protein inhibitors (FAPI) radiopharmaceuticals and 2-deoxy-2-[¹⁸F]fluoro-D-glucose ([¹⁸F]FDG) in gynaecological cancers. Methods: A comprehensive search of PubMed/MEDLINE and EMBASE was conducted and updated to October 25, 2024, to identify clinical studies evaluating FAPI and [¹⁸F]FDG PET/CT or PET/MR in patients with gynaecological cancer. Quality was assessed using the QUADAS-2 tool (Quality Assessment of Diagnostic Accuracy Studies). Per-lesion pooled estimates of sensitivity, specificity, positive predictive value, and negative predictive value were calculated with 95% confidence intervals. Results: Ten studies were included for qualitative assessment and five studies focusing on ovarian cancer were included in the meta-analysis. The detection rates of primary cervical cancer ranged from 96 to 100% for both radiopharmaceuticals. For the primary tumour in ovarian cancer, the pooled sensitivities of ⁶⁸Ga-FAPI and [¹⁸F]FDG were 95% and 92%, and the pooled specificities were 81% for both radiopharmaceuticals. Nodal metastases detection was higher with ⁶⁸Ga-FAPI compared with [¹⁸F]FDG in cervical cancer. Similarly, in ovarian cancer the estimated pooled sensitivities of ⁶⁸Ga-FAPI and [¹⁸F]FDG were 97% and 88%, and the pooled specificities were 83% and 41%, respectively. At peritoneal metastases analysis in ovarian cancer, the pooled sensitivities of ⁶⁸Ga-FAPI and [¹⁸F]FDG were 97% and 70%, and the pooled specificities were 93% and 88%, respectively. At the visual assessment of peritoneal cancer scores, such as peritoneal cancer index, ⁶⁸Ga-FAPI detected a greater tumour burden compared with [¹⁸F]FDG. A comparative analysis of the PET semiquantitative parameters was also performed. Conclusion: Despite limited literature data, radiopharmaceuticals based on FAPIs are a promising alternative to [¹⁸F]FDG for imaging gynaecological cancers, in particular for the detection of nodal metastases in cervical and ovarian cancers, as well as for detecting peritoneal metastases in ovarian cancers. Larger prospective studies are needed to confirm these results and promote the inclusion of FAPI radiopharmaceuticals in clinical practice. Clinical trial number: Not applicable.

Background: Prior studies show that short-term treatment using tyrosine kinase inhibitors (TKIs) can reinduce radioiodine uptake and warrant ¹³¹I therapy in radioiodine-refractory differentiated thyroid cancer (RAI-R DTC). We aim to evaluate the potential of standard-of-care TKI lenvatinib to reinduce clinically meaningful radioiodine retention. Methods: Nine RAI-R DTC patients starting lenvatinib treatment for progressive advanced or metastatic disease, were included and underwent rhTSH-stimulated ¹²⁴I dosimetric procedures at baseline, week 6 (N=7) and week 12 (N=8). At all timepoints, the fraction of patients eligible for ¹³¹I therapy with a maximal activity of 7.4 GBq was assessed. Patients were considered eligible if at least one target lesion showed an expected mean absorbed dose ≥20 Gy. In total, 23 target lesions were segmented on¹²⁴I PET/CT images and their volumes estimated using low-dose CT images. Lesion size-specific recovery correction was applied to the measured mean activity concentration at each timepoint. Tumor dosimetry was performed using a mono-exponential fit and S-values from an internal dosimetry program for diagnostic nuclear medicine based on the ICRP adult reference voxel phantoms (IDAC-Dose2.1). Mean absorbed lesion dose per administered activity (LDpA), 24h-uptake and residence time in target lesions were compared between time points. Results: By our definition, none of the patients were found eligible for ¹³¹I therapy at any timepoint. Lenvatinib-induced partial response was observed in 59% and 75% of target lesions at week 6 and 12, respectively. Median LDpA was 0.08 (IQR: 0.04-0.17), 0.18 (0.08-0.36) and 0.17 (0.09-0.37) Gy/GBq for week 0, 6 and 12, respectively (p=0.08). The 24h-uptake and residence time were comparable between timepoints (p>0.22). Conclusion: Redifferentiation of RAI-R DTC to reinduce radioiodine uptake to a level that warrants ¹³¹I therapy may not be established by short-term lenvatinib treatment. Multi-targeted TKIs may not be as potent as selective TKIs in reinducing clinically meaningful radioiodine retention.

Purpose: Assessing renal perfusion in-vivo is challenging and quantitative information regarding renal hemodynamics is hardly incorporated in medical decision-making while abnormal renal hemodynamics might play a crucial role in the onset and progression of renal disease. Combining physiological stimuli with rubidium-82 positron emission tomography/computed tomography (⁸²Rb PET/CT) offers opportunities to test the kidney perfusion under various conditions. The aim of this study is: (1) to investigate the application of a one-tissue compartment model for measuring renal hemodynamics with dynamic ⁸²Rb PET/CT imaging, and (2) to evaluate whether dynamic PET/CT is sensitive to detect differences in renal hemodynamics in stress conditions compared to resting state. Methods: A one-tissue compartment model for the kidney was applied to cardiac ⁸²Rb PET/CT scans that were obtained for ischemia detection as part of clinical care. Retrospective data, collected from 17 patients undergoing dynamic myocardial ⁸²Rb PET/CT imaging in rest, were used to evaluate various CT-based volumes of interest (VOIs) of the kidney. Subsequently, retrospective data, collected from 10 patients (five impaired kidney functions and five controls) undergoing dynamic myocardial ⁸²Rb PET/CT imaging, were used to evaluate image-derived input functions (IDIFs), PET-based VOIs of the kidney, extraction fractions, and whether dynamic ⁸²Rb PET/CT can measure renal hemodynamics differences using the renal blood flow (RBF) values in rest and after exposure to adenosine pharmacological stress. Results: The delivery rate (K₁) values showed no significant (p = 0.14) difference between the mean standard deviation (SD) K₁ values using one CT-based VOI and the use of two, three, and four CT-based VOIs, respectively 2.01(0.32), 1.90(0.40), 1.93(0.39), and 1.94(0.40) mL/min/mL. The ratio between RBF in rest and RBF in pharmacological stress for the controls were overall significantly lower compared to the impaired kidney function group for both PET-based delineation methods (region growing and iso-contouring), with the smallest median interquartile range (IQR) of 0.40(0.28–0.66) and 0.96(0.62–1.15), respectively (p < 0.05). The K₁ of the impaired kidney function group were close to 1.0 mL/min/mL. Conclusions: This study demonstrated that obtaining renal K₁ and RBF values using ⁸²Rb PET/CT was feasible using a one-tissue compartment model. Applying iso-contouring as the PET-based VOI of the kidney and using AA as an IDIF is suggested for consideration in further studies. Dynamic ⁸²Rb PET/CT imaging showed significant differences in renal hemodynamics in rest compared to when exposed to adenosine. This indicates that dynamic ⁸²Rb PET/CT has potential to detect differences in renal hemodynamics in stress conditions compared to the resting state, and might be useful as a novel diagnostic tool for assessing renal perfusion.

OBJECTIVE: In this pilot study, we investigated the feasibility of response prediction using digital [ 18 F]FDG PET/computed tomography (CT) and multiparametric MRI before, during, and after neoadjuvant chemoradiation therapy in locally advanced rectal cancer (LARC) patients and aimed to select the most promising imaging modalities and timepoints for further investigation in a larger trial. METHODS: Rectal cancer patients scheduled to undergo neoadjuvant chemoradiation therapy were prospectively included in this trial, and underwent multiparametric MRI and [ 18 F]FDG PET/CT before, 2 weeks into, and 6-8 weeks after chemoradiation therapy. Two groups were created based on pathological tumor regression grade, that is, good responders (TRG1-2) and poor responders (TRG3-5). Using binary logistic regression analysis with a cutoff value of P  ≤ 0.2, promising predictive features for response were selected. RESULTS: Nineteen patients were included. Of these, 5 were good responders, and 14 were poor responders. Patient characteristics of these groups were similar at baseline. Fifty-seven features were extracted, of which 13 were found to be promising predictors of response. Baseline [T2: volume, diffusion-weighted imaging (DWI): apparent diffusion coefficient (ADC) mean, DWI: difference entropy], early response (T2: volume change, DWI: ADC mean change) and end-of-treatment presurgical evaluation MRI (T2: gray level nonuniformity, DWI: inverse difference normalized, DWI: gray level nonuniformity normalized), as well as baseline (metabolic tumor volume, total lesion glycolysis) and early response PET/CT (Δ maximum standardized uptake value, Δ peak standardized uptake value corrected for lean body mass), were promising features. CONCLUSION: Both multiparametric MRI and [ 18 F]FDG PET/CT contain promising imaging features to predict response to neoadjuvant chemoradiotherapy in LARC patients. A future larger trial should investigate baseline, early response, and end-of-treatment presurgical evaluation MRI and baseline and early response PET/CT.

Objective Since the end of 2019, the coronavirus disease 2019 (COVID-19) virus has infected millions of people, of whom a significant group suffers from sequelae from COVID-19, termed long COVID. As more and more patients emerge with long COVID who have symptoms of fatigue, myalgia and joint pain, we must examine potential biomarkers to find quantifiable parameters to define the underlying mechanisms and enable response monitoring. The aim of this study is to investigate the potential added value of [ ¹⁸F]FDG-PET/computed tomography (CT) for this group of long COVID patients. Methods For this proof of concept study, we evaluated [ ¹⁸F]FDG-PET/CT scans of long COVID patients and controls. Two analyses were performed: semi-quantitative analysis using target-to-background ratios (TBRs) in 24 targets and total vascular score (TVS) assessed by two independent nuclear medicine physicians. Mann-Whitney U-test was performed to find significant differences between the two groups. Results Thirteen patients were included in the long COVID group and 25 patients were included in the control group. No significant differences (P < 0.05) were found between the long COVID group and the control group in the TBR or TVS assessment. Conclusion As we found no quantitative difference in the TBR or TVS between long COVID patients and controls, we are unable to prove that [ ¹⁸F]FDG is of added value for long COVID patients with symptoms of myalgia or joint pain. Prospective cohort studies are necessary to understand the underlying mechanisms of long COVID.

Background: Central necrosis can be detected on [¹⁸F]FDG PET/CT as a region with little to no tracer uptake. Currently, there is no consensus regarding the inclusion of regions of central necrosis during volume of interest (VOI) delineation for radiomic analysis. The aim of this study was to assess how central necrosis affects radiomic analysis in PET. Methods: Forty-three patients, either with non-small cell lung carcinomas (NSCLC, n = 12) or with pheochromocytomas or paragangliomas (PPGL, n = 31), were included retrospectively. VOIs were delineated with and without central necrosis. From all VOIs, 105 radiomic features were extracted. Differences in radiomic features between delineation methods were assessed using a paired t-test with Benjamini-Hochberg multiple testing correction. In the PPGL cohort, performances of the radiomic models to predict the noradrenergic biochemical profile were assessed by comparing the areas under the receiver operating characteristic curve (AUC) for both delineation methods. Results: At least 65% of the features showed significant differences between VOI_vital-tumour and VOI_gross-tumour (65%, 79% and 82% for the NSCLC, PPGL and combined cohort, respectively). The AUCs of the radiomic models were not significantly different between delineation methods. Conclusion: In both tumour types, almost two-third of the features were affected, demonstrating that the impact of whether or not to include central necrosis in the VOI on the radiomic feature values is significant. Nevertheless, predictive performances of both delineation methods were comparable. We recommend that radiomic studies should report whether or not central necrosis was included during delineation.