Analysis and modelling of the performance of a new solid-state detector in nuclear medicine : from Anger- to Semiconductor-detectors

La tomoscintigraphie myocardique est considérée comme un examen de référence pour le diagnostic et l'évaluation de la maladie coronarienne. Mise au point dans les années 1980, cette technique est en pleine mutation depuis l'arrivée de nouvelles caméras à semi-conducteurs. Deux caméras à semi-conducteurs, dédiées à la cardiologie nucléaire et utilisant des détecteurs de Cadmium Zinc Telluride sont actuellement commercialisées : la Discovery NM-530c (General Electric) et la DSPECT (Spectrum Dynamics). Les performances de ces caméras CZT ont été évaluées : 1) à la fois sur fantôme et sur des examens d'effort provenant de patients à faible probabilité de maladie coronaire, et 2) avec les paramètres d'acquisition et de reconstruction utilisés en clinique. Les résultats ont démontré la nette supériorité des caméras CZT en termes de sensibilité de détection, de résolution spatiale et de rapport contraste sur bruit par rapport à la génération de caméras d'Anger. Ces propriétés vont permettre de diminuer très fortement les temps d'acquisition et les activités injectées, tout en améliorant la qualité des images. Néanmoins, on connaît encore mal les limites et possibles artéfacts liés à la géométrie particulière d'acquisition. C'est pourquoi nous avons développé, avec la plateforme de simulations Monte Carlo GATE, un simulateur numérique spécifique de la caméra DSPECT. Nous avons pu ensuite le valider en comparant des données effectivement enregistrées aux données simulées. Ce simulateur pourrait aider à optimiser les protocoles de reconstruction et d'acquisition, en particulier les protocoles les plus complexes (acquisitions double traceur, études cinétiques)Myocardial single-photon emission computed tomography (SPECT) is considered as the gold standard for the diagnosis of coronary artery disease. Developed in the 1980s with rotating Anger gamma-cameras, this technique could be dramatically enhanced by new imaging systems working with semi-conductor detectors. Two semiconductor cameras, dedicated to nuclear cardiology and equipped with Cadmium Zinc Telluride detectors, have been recently commercialized: the Discovery NM- 530c (General Electric) and the DSPECT (Spectrum Dynamics). The performances of these CZT cameras were compared: 1) by a comprehensive analysis of phantom and human SPECT images considered as normal and 2) with the parameters commonly recommended for SPECT recording and reconstruction. The results show the superiority of the CZT cameras in terms of detection sensitivity, spatial resolution and contrast-to-noise ratio, compared to conventional Anger cameras. These properties might lead to dramatically reduce acquisition times and/or the injected activities. However, the limits of these new CZT cameras, as well as the mechanism of certain artefacts, remain poorly known. That?s why we developed, with the GATE Monte Carlo simulation plateform, a specific simulator of the DSPECT camera. We validated this simulator by comparing actually recorded data with simulated data. This simulator may yet be used to optimize the recorded and reconstruction processes, especially for complex protocols such as simultaneous dual-radionuclide acquisition and kinetics first-pass studie

Relevance of Dynamic ¹⁸F-DOPA PET Radiomics for Differentiation of High-Grade Glioma Progression from Treatment-Related Changes

This study evaluates the relevance of 18F-DOPA PET static and dynamic radiomics for differentiation of high-grade glioma (HGG) progression from treatment-related changes (TRC) by comparing diagnostic performances to the current PET imaging standard of care. Eighty-five patients with histologically confirmed HGG and investigated by dynamic 18F-FDOPA PET in two institutions were retrospectively selected. ElasticNet logistic regression, Random Forest and XGBoost machine models were trained with different sets of features—radiomics extracted from static tumor-to-background-ratio (TBR) parametric images, radiomics extracted from time-to-peak (TTP) parametric images, as well as combination of both—in order to discriminate glioma progression from TRC at 6 months from the PET scan. Diagnostic performances of the models were compared to a logistic regression model with TBRmean ± clinical features used as reference. Training was performed on data from the first center, while external validation was performed on data from the second center. Best radiomics models showed only slightly better performances than the reference model (respective AUCs of 0.834 vs. 0.792, p < 0.001). Our current results show similar findings at the multicentric level using different machine learning models and report a marginal additional value for TBR static and TTP dynamic radiomics over the classical analysis based on TBR values

Monte Carlo simulation of digital photon counting PET

International audienceA GATE Monte Carlo model of the Philips Vereos digital photon counting PET imaging system using silicon photo-multiplier detectors was proposed. It was evaluated against experimental data in accordance with NEMA guidelines. Comparisons were performed using listmode data in order to remain independent of image reconstruction algorithms. An original line of response-based method is proposed to estimate intrinsic spatial resolution without reconstruction. Four sets of experiments were performed: (1) count rates and scatter fraction, (2) energy and timing resolutions, (3) sensitivity, and (4) intrinsic spatial resolution. Experimental and simulated data were found to be in good agreement, with overall differences lower than 10% for activity concentrations used in most standard clinical applications. Illustrative image reconstructions were provided. In conclusion, the proposed Monte Carlo model was validated and can be used for numerous studies such as optimizing acquisition parameters or reconstruction algorithms

CT abnormalities evocative of lung infection are associated with lower 18F-FDG uptake in confirmed COVID-19 patients

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Calcineurin inhibitors impair neutrophil activity against Aspergillus fumigatus in allogenic hematopoietic stem cell transplant recipients

International audienceBackgroundNeutrophils are key effectors against the widely distributed mold Aspergillus fumigatus, which is a major threat for immunocompromised patients including allogenic hematopoietic stem cell transplant (HSCT) recipients. Yet little is known about neutrophil activity over time after cell transplantation, especially regarding A. fumigatus.ObjectiveWe aimed at assessing the activity of neutrophils on A. fumigatus in allogenic HSCT recipients at different post-transplant time points.MethodsWe performed a longitudinal study involving 37 HSCT patients, drawing blood samples at engraftment and at two, six and ten months after the HSCT. Post-transplant neutrophil activity in the recipients was compared to that of the respective donors. Neutrophil/ Aspergillus co-culture, flow cytometry and video microscopy were used to assess neutrophil inhibition of fungal growth, cell/fungus interactions, reactive oxygen species production, major surface molecule expression and neutrophil extracellular traps (NETs) formation.ResultsThe ability of neutrophils to interfere with Aspergillus hyphal growth was impaired after HSCT. The administration of calcineurin inhibitors appeared to play an important role in this impairment. We also observed that post-HSCT neutrophils produced less NETs, which was correlated with increased fungal growth. Tapering immunosuppression led to the recuperation of inhibition capacity 10 months post-HSCT.ConclusionIn HSCT recipients, neutrophil-driven innate immunity to fungi is altered in the early post-transplant period (between recovery from neutropenia and up to 6 months). This alteration is at least partly related to the administration of calcineurin inhibitors and the diminution of NETs production

Use of static and dynamic [18F]-F-DOPA PET parameters for detecting patients with glioma recurrence or progression

International audienceBackground: Static [18F]-F-DOPA PET images are currently used for identifying patients with glioma recurrence/progression after treatment, although the additional diagnostic value of dynamic parameters remains unknown in this setting. The aim of this study was to evaluate the performances of static and dynamic [18F]-F-DOPA PET parameters for detecting patients with glioma recurrence/progression as well as assess further relationships with patient outcome.Methods: Fifty-one consecutive patients who underwent an [18F]-F-DOPA PET for a suspected glioma recurrence/progression at post-resection MRI, were retrospectively included. Static parameters, including mean and maximum tumor-to-normal-brain (TBR) ratios, tumor-to-striatum (TSR) ratios, and metabolic tumor volume (MTV), as well as dynamic parameters with time-to-peak (TTP) values and curve slope, were tested for predicting the following: (1) glioma recurrence/progression at 6 months after the PET exam and (2) survival on longer follow-up.Results: All static parameters were significant predictors of glioma recurrence/progression (accuracy ≥ 94%) with all parameters also associated with mean progression-free survival (PFS) in the overall population (all p < 0.001, 29.7 vs. 0.4 months for TBRmax, TSRmax, and MTV). The curve slope was the sole dynamic PET predictor of glioma recurrence/progression (accuracy = 76.5%) and was also associated with mean PFS (p < 0.001, 18.0 vs. 0.4 months). However, no additional information was provided relative to static parameters in multivariate analysis.Conclusion: Although patients with glioma recurrence/progression can be detected by both static and dynamic [18F]-F-DOPA PET parameters, most of this diagnostic information can be achieved by conventional static parameters