Background and aims
Immune checkpoint inhibitors (ICIs) revolutionized cancer treatment. However, ICIs may increase the immune response to non-tumor cells, possibly resulting in increased arterial inflammation, raising the risk of atherosclerotic events. Nevertheless, malignancies may induce a pro-inflammatory state and the association between ICIs and arterial inflammation remains to be clarified. This study aims to assess differences in increase in arterial inflammation between patients with advanced melanoma treated with ICIs compared to a control group without ICIs.

Methods
Patients with advanced melanoma who underwent [18F]FDG PET/CT scans at baseline, 6 months (T1) and 18 months (T2) were included in this retrospective observational study. Arterial inflammation was evaluated in eight segments by calculating the target-to-background ratio (TBR). The primary study outcome was the difference in increase in mean TBRmax between patients treated with and without ICIs.

Results
We included 132 patients of whom 72.7 % were treated with ICIs. After exclusion for the use of anti-inflammatory medication, patients treated with ICIs showed a significant increase in mean TBRmax between baseline and T1 from 1.29 ± 0.12 to 1.33 ± 0.13 (p = 0.017), while in the control group, no change in mean TBRmax (1.30 ± 0.12 to 1.28 ± 0.10, p = 0.22) was observed (p = 0.027). During longer follow-up, mean TBRmax remained stable in both groups. Arterial inflammation increased significantly after ICI therapy in patients without active inflammation (p < 0.001) and in patients without calcifications (p = 0.013).

Conclusions
A significant increase in arterial inflammation as measured on [18F]FDG PET/CT was observed in patients with advanced melanoma treated with ICIs only in the first six months after initiation of therapy, whereas no changes were observed in the control group. Moreover, arterial inflammation was mainly increased in patients without pre-existing inflammatory activity and with non-calcified lesions.@en

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.

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Purpose: Navigational strategies create a scenario whereby percutaneous needle-based interventions of the liver can be guided using both pre-interventional 3D imaging datasets and dynamic interventional ultrasound (US). To score how such technologies impact the needle placement process, we performed kinematic analysis on different user groups. Methods: Using a custom biopsy phantom, three consecutive exercises were performed by both novices and experts (n = 26). The exercise came in three options: (1) US-guidance, (2) US-guidance with pre-interventional image-registration (US + Reg) and (3) US-guidance with pre-interventional image-registration and needle-navigation (US + Reg + Nav). The traveled paths of the needle were digitized in 3D. Using custom software algorithms, kinematic metrics were extracted and related to dexterity, decision making indices to obtain overall performance scores (PS). Results: Kinematic analysis helped quantifying the visual assessment of the needle trajectories. Compared to US-guidance, novices yielded most improvements using Reg (PS_avg(US) = 0.43 vs. PS_avg(US+Reg) = 0.57 vs. PS_{avg(US+Reg+Nav)} = 0.51). Interestingly, the expert group yielded a reversed trend (PS_avg(US) = 0.71 vs PS_avg(US+Reg) = 0.58 vs PS_{avg(US+Reg+Nav)} = 0.59). Conclusion: Digitizing the movement trajectory allowed us to objectively assess the impact of needle-navigation strategies on percutaneous procedures. In particular, our findings suggest that these advanced technologies have a positive impact on the kinematics derived performance of novices.

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Scope: Abdominal obesity is one of the main modifiable risk factors of age-related cardiometabolic disease. Cardiometabolic disease risk and its associated high abdominal fat mass, cholesterol, and glucose concentrations can be reduced by a healthier lifestyle. Hence, the aim is to understand the relation between lifestyle-induced changes in body composition, and specifically abdominal fat, and accompanying changes in circulating metabolic biomarkers. Methods and results: Data from the Growing Old Together (GOTO) study was used, which is a single arm lifestyle intervention in which 164 older adults (mean age 63 years, BMI 23–35 kg/m²) changed their lifestyle during 13 weeks by 12.5% caloric restriction plus 12.5% increase in energy expenditure. It is shown here that levels of circulating metabolic biomarkers, even after adjustment for body mass index, specifically associate with abdominal fat mass. The applied lifestyle intervention mainly reduces abdominal fat mass (−2.6%, SD = 3.0) and this reduction, when adjusted for general weight loss, is highly associated with decreased circulating glycerol concentrations and increased HDL diameter. Conclusion: The lifestyle-induced reduction of abdominal fat mass is particularly associated, independent of body mass index or general weight loss, with decreased circulating glycerol concentrations and increased HDL diameter.

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