Current methods for hyperpolarized [1-13C]pyruvate MRI human studies.

MRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney diseases, and more. It has been translated into human studies during the past 10 years, with recent rapid growth in studies largely based on increasing availability of HP agent preparation methods suitable for use in humans. This paper aims to capture the current successful practices for HP MRI human studies with [1-13C]pyruvate-by far the most commonly used agent, which sits at a key metabolic junction in glycolysis. The paper is divided into four major topic areas: (1) HP 13C-pyruvate preparation; (2) MRI system setup and calibrations; (3) data acquisition and image reconstruction; and (4) data analysis and quantification. In each area, we identified the key components for a successful study, summarized both published studies and current practices, and discuss evidence gaps, strengths, and limitations. This paper is the output of the "HP 13C MRI Consensus Group" as well as the ISMRM Hyperpolarized Media MR and Hyperpolarized Methods and Equipment study groups. It further aims to provide a comprehensive reference for future consensus, building as the field continues to advance human studies with this metabolic imaging modality.

Task Activation Results in Regional 13 C-Lactate Signal Increase in the Human Brain.

Hyperpolarized- 13 C magnetic resonance imaging (HP- 13 C MRI) was used to image changes in 13 C-lactate signal during a visual stimulus condition in comparison to an eyes-closed control condition. Whole-brain 13 C-pyruvate, 13 C-lactate and 13 C-bicarbonate production was imaged in healthy volunteers (N=6, ages 24-33) for the two conditions using two separate hyperpolarized 13 C-pyruvate injections. BOLD-fMRI scans were used to delineate regions of functional activation. 13 C-metabolite signal was normalized by 13 C-metabolite signal from the brainstem and the percentage change in 13 C-metabolite signal conditions was calculated. A one-way Wilcoxon signed-rank test showed a significant increase in 13 C-lactate in regions of activation when compared to the remainder of the brain ( p = 0.02, V = 21). No significant increase was observed in 13 C-pyruvate ( p = 0.11, V = 17) or 13 C-bicarbonate ( p = 0.95, V = 3) signal. The results show an increase in 13 C-lactate production in the activated region that is measurable with HP- 13 C MRI.

Evidence of 13 C-lactate oxidation in the human brain from hyperpolarized 13 C-MRI.

PURPOSE: To test the hypothesis that lactate oxidation contributes to the 13 $$ {}^{13} $$ C-bicarbonate signal observed in the awake human brain using hyperpolarized 13 $$ {}^{13} $$ C MRI. METHODS: Healthy human volunteers (N = 6) were scanned twice using hyperpolarized 13 $$ {}^{13} $$ C-MRI, with increased radiofrequency saturation of 13 $$ {}^{13} $$ C-lactate on one set of scans. 13 $$ {}^{13} $$ C-lactate, 13 $$ {}^{13} $$ C-bicarbonate, and 13 $$ {}^{13} $$ C-pyruvate signals for 132 brain regions across each set of scans were compared using a clustered Wilcoxon signed-rank test. RESULTS: Increased 13 $$ {}^{13} $$ C-lactate radiofrequency saturation resulted in a significantly lower 13 $$ {}^{13} $$ C-bicarbonate signal (p = 0.04). These changes were observed across the majority of brain regions. CONCLUSION: Radiofrequency saturation of 13 $$ {}^{13} $$ C-lactate leads to a decrease in 13 $$ {}^{13} $$ C-bicarbonate signal, demonstrating that the 13 $$ {}^{13} $$ C-lactate generated from the injected 13 $$ {}^{13} $$ C-pyruvate is being converted back to 13 $$ {}^{13} $$ C-pyruvate and oxidized throughout the human brain.

First in-human evaluation of [1-13C]pyruvate in D2O for hyperpolarized MRI of the brain: A safety and feasibility study.

PURPOSE: To investigate the safety and value of hyperpolarized (HP) MRI of [1-13C]pyruvate in healthy volunteers using deuterium oxide (D2O) as a solvent. METHODS: Healthy volunteers (n = 5), were injected with HP [1-13C]pyruvate dissolved in D2O and imaged with a metabolite-specific 3D dual-echo dynamic EPI sequence at 3T at one site (Site 1). Volunteers were monitored following the procedure to assess safety. Image characteristics, including SNR, were compared to data acquired in a separate cohort using water as a solvent (n = 5) at another site (Site 2). The apparent spin-lattice relaxation time (T1) of [1-13C]pyruvate was determined both in vitro and in vivo from a mono-exponential fit to the image intensity at each time point of our dynamic data. RESULTS: All volunteers completed the study safely and reported no adverse effects. The use of D2O increased the T1 of [1-13C]pyruvate from 66.5 ± 1.6 s to 92.1 ± 5.1 s in vitro, which resulted in an increase in signal by a factor of 1.46 ± 0.03 at the time of injection (90 s after dissolution). The use of D2O also increased the apparent relaxation time of [1-13C]pyruvate by a factor of 1.4 ± 0.2 in vivo. After adjusting for inter-site SNR differences, the use of D2O was shown to increase image SNR by a factor of 2.6 ± 0.2 in humans. CONCLUSIONS: HP [1-13C]pyruvate in D2O is safe for human imaging and provides an increase in T1 and SNR that may improve image quality.

Current Methods for Hyperpolarized [1-13C]pyruvate MRI Human Studies.

MRI with hyperpolarized (HP) 13C agents, also known as HP 13C MRI, can measure processes such as localized metabolism that is altered in numerous cancers, liver, heart, kidney diseases, and more. It has been translated into human studies during the past 10 years, with recent rapid growth in studies largely based on increasing availability of hyperpolarized agent preparation methods suitable for use in humans. This paper aims to capture the current successful practices for HP MRI human studies with [1-13C]pyruvate - by far the most commonly used agent, which sits at a key metabolic junction in glycolysis. The paper is divided into four major topic areas: (1) HP 13C-pyruvate preparation, (2) MRI system setup and calibrations, (3) data acquisition and image reconstruction, and (4) data analysis and quantification. In each area, we identified the key components for a successful study, summarized both published studies and current practices, and discuss evidence gaps, strengths, and limitations. This paper is the output of the "HP 13C MRI Consensus Group" as well as the ISMRM Hyperpolarized Media MR and Hyperpolarized Methods & Equipment study groups. It further aims to provide a comprehensive reference for future consensus building as the field continues to advance human studies with this metabolic imaging modality.

Age-associated change in pyruvate metabolism investigated with hyperpolarized 13 C-MRI of the human brain.

In this study, hyperpolarized 13 C MRI (HP-13 C MRI) was used to investigate changes in the uptake and metabolism of pyruvate with age. Hyperpolarized 13 C-pyruvate was administered to healthy aging individuals (N = 35, ages 21-77) and whole-brain spatial distributions of 13 C-lactate and 13 C-bicarbonate production were measured. Linear mixed-effects regressions were performed to compute the regional percentage change per decade, showing a significant reduction in both normalized 13 C-lactate and normalized 13 C-bicarbonate production with age: - 7 % ± 2 % per decade for 13 C-lactate and - 9 % ± 4 % per decade for 13 C-bicarbonate. Certain regions, such as the right medial precentral gyrus, showed greater rates of change while the left caudate nucleus had a flat 13 C-lactate versus age and a slightly increasing 13 C-bicarbonate versus age. The results show that both the production of lactate (visible as 13 C-lactate signal) as well as the consumption of monocarboxylates to make acetyl-CoA (visible as 13 C-bicarbonate signal) decrease with age and that the rate of change varies by brain region.

Imaging and treatment of brain tumors through molecular targeting: Recent clinical advances.

Molecular imaging techniques have rapidly progressed over recent decades providing unprecedented in vivo characterization of metabolic pathways and molecular biomarkers. Many of these new techniques have been successfully applied in the field of neuro-oncological imaging to probe tumor biology. Targeting specific signaling or metabolic pathways could help to address several unmet clinical needs that hamper the management of patients with brain tumors. This review aims to provide an overview of the recent advances in brain tumor imaging using molecular targeting with positron emission tomography and magnetic resonance imaging, as well as the role in patient management and possible therapeutic implications.

Cardiac metabolic imaging using hyperpolarized [1-13 C]lactate as a substrate.

Hyperpolarized (HP) [1-13 C]lactate is an attractive alternative to [1-13 C]pyruvate as a substrate to investigate cardiac metabolism in vivo: it can be administered safely at a higher dose and can be polarized to a degree similar to pyruvate via dynamic nuclear polarization. While 13 C cardiac experiments using HP lactate have been performed in small animal models, they have not been demonstrated in large animal models or humans. Utilizing the same hardware and data acquisition methods as the first human HP 13 C cardiac study, 13 C metabolic images were acquired following injections of HP [1-13 C]lactate in porcine hearts. Data were also acquired using HP [1-13 C]pyruvate for comparison. The 13 C bicarbonate signal was localized to the myocardium and had a similar appearance with both substrates for all animals. No 13 C pyruvate signal was detected in the experiments following injection of HP 13 C lactate. The signal-to-noise ratio (SNR) of injected lactate was 88 ± 4% of the SNR of injected pyruvate, and the SNR of bicarbonate in the experiments using lactate as the substrate was 52 ± 19% of the SNR in the experiments using pyruvate as the substrate. The lower SNR was likely due to the shorter T1 of [1-13 C]lactate as compared with [1-13 C]pyruvate and the additional enzyme-catalyzed metabolic conversion step before the 13 C nuclei from [1-13 C]lactate were detected as 13 C bicarbonate. While challenges remain, the potential of HP lactate as a substrate for clinical metabolic imaging of human heart has been demonstrated.

Modeling, optimization, and validation of an extended-depth-of-field optical coherence tomography probe based on a mirror tunnel.

The diagnostic capability of high-resolution optical coherence tomography (OCT) may be enhanced by using extended depth-of-field (EDOF) imaging that retains high transverse resolution over long depths. A recently developed mirror-tunnel optical probe design (single-mode fiber to multimode fiber to lens structure) that generates coaxially focused modes has been previously shown to enable EDOF for endoscopic OCT applications. Here, we present ray-tracing optical modeling of this optical configuration, which has the potential to guide performance improvement through optimization. The Huygens wave propagation of the field was traced through probe components with initial lengths. The irradiance along the x-z plane was analyzed, yielding an average full width at half-maximum (FWHM) of 9 µm over a 640 µm DOF (defined as the axial range over which the beam's transverse FWHM is maintained). A custom merit function was then defined, based on the focal region illumination intensity profile that yielded the maximum possible depth having a constrained FWHM size. An orthogonal gradient descent optimization algorithm was then applied using this merit function, using the multimode fiber, spacer, and lens lengths as variables. Optimization resulted in a modeled mean 6 µm FWHM spot diameter over an EDOF of 1 mm. Following optimization, a probe was fabricated, and was validated using a custom-built near-field scanning pinhole beam profiler. The experimental results (6 µm mean FWHM over 800 µm EDOF) showed reasonable correspondence to the simulated predictions, demonstrating the potential utility of optical modeling and optimization for improving EDOF performance in mirror-tunnel endoscopic OCT probes.

Predicting response to radiotherapy of intracranial metastases with hyperpolarized [Formula: see text]C MRI.

BACKGROUND: Stereotactic radiosurgery (SRS) is used to manage intracranial metastases in a significant fraction of patients. Local progression after SRS can often only be detected with increased volume of enhancement on serial MRI scans which may lag true progression by weeks or months. METHODS: Patients with intracranial metastases (N = 11) were scanned using hyperpolarized [Formula: see text]C MRI prior to treatment with stereotactic radiosurgery (SRS). The status of each lesion was then recorded at six months post-treatment follow-up (or at the time of death). RESULTS: The positive predictive value of [Formula: see text]C-lactate signal, measured pre-treatment, for prediction of progression of intracranial metastases at six months post-treatment with SRS was 0.8 [Formula: see text], and the AUC from an ROC analysis was 0.77 [Formula: see text]. The distribution of [Formula: see text]C-lactate z-scores was different for intracranial metastases from different primary cancer types (F = 2.46, [Formula: see text]). CONCLUSIONS: Hyperpolarized [Formula: see text]C imaging has potential as a method for improving outcomes for patients with intracranial metastases, by identifying patients at high risk of treatment failure with SRS and considering other therapeutic options such as surgery.

Distinguishing selective mutism and social anxiety in children: a multi-method study.

Selective mutism (SM) is an anxiety disorder in which a child fails to speak in some situations (e.g., school) despite the ability to speak in other situations (e.g., home). Some work has conceptualized SM as a variant of social anxiety disorder (SAD) characterized by higher levels of social anxiety. Here, we empirically tested this hypothesis to see whether there were differences in social anxiety (SA) between SM and SAD across behavioral, psychophysiological, self-, parent-, and teacher-report measures. Participants included 158 children (Mage = 8.76 years, SD = 3.23) who were classified into three groups: children with SM and who were also highly socially anxious (SM + HSA; n = 48), highly socially anxious children without SM (HSA; n = 48), and control children (n = 62). Children participated in a videotaped self-presentation task, following which observed SA behaviors were coded, and salivary cortisol reactivity was measured. We also collected child, parent, and teacher reports of children's trait SA symptoms. The SM + HSA and HSA groups had similar observed non-verbal SA behavior, cortisol reactivity, and trait SA symptom levels according to parent and child reports, but SM + HSA children had significantly higher SA according to teacher report and observer-rated verbal SA behavior relative to the HSA group. As expected, control children had lower cortisol reactivity and SA across all measures relative to the other groups. Although SM and SAD in children share many similarities, SM may be characterized by greater SA in certain social contexts (e.g., school) and is distinguishable from SAD on behavioral measures of verbal SA.

Correlation of hyperpolarized 13 C-MRI data with tissue extract measurements.

Hyperpolarized (HP) 13C MRI provides the means to monitor lactate metabolism noninvasively in tumours. Since 13C -lactate signal levels obtained from HP 13C imaging depend on multiple factors, such as the rate of 13C substrate delivery via the vasculature, the expression level of monocarboxylate transporters (MCTs) and lactate dehydrogenase (LDH), and the local lactate pool size, the interpretation of HP 13C metabolic images remains challenging. In this study, ex vivo tissue extract measurements (i.e., NMR isotopomer analysis, western blot analysis) derived from an MDA-MB-231 xenograft model in nude rats were used to test for correlations between the in vivo 13C data and the ex vivo measures. The lactate-to-pyruvate ratio from HP 13C MRI was strongly correlated with [1- 13C ]lactate concentration measured from the extracts using NMR (R = 0.69, p < 0.05), as well as negatively correlated with tumour wet weight (R = -  0.60, p < 0.05). In this tumour model, both MCT1 and MCT4 expressions were positively correlated with wet weight ( ρ = 0.78 and 0.93, respectively, p < 0.01). Lactate pool size and the lactate-to-pyruvate ratio were not significantly correlated.

What Influences Educators' Design Preferences for Bullying Prevention Programs? Multi-level Latent Class Analysis of a Discrete Choice Experiment.

We used a discrete choice conjoint experiment to model the anti-bullying (AB) program preferences of 1080 junior kindergarten to Grade 8 educators. Participants chose between hypothetical AB programs that varied combinations of 12 design attributes. Multi-level latent class analysis yielded three classes: All-in Supervisors (21.5%) preferred that all teaching staff supervise playgrounds and hallways; Facilitators (61.6%) preferred that students take ownership of AB activities with 25% of educators supervising playgrounds and hallways; and Reluctant Delegators (16.9%) preferred delegating the supervision of playgrounds and hallways to non-teaching staff. This class reported higher dispositional reactance, more implementation barriers, and more psychological reactance to these initiatives. They were less sensitive to social influences and less intent on participating in AB activities. Multi-level analysis showed a greater proportion of Reluctant Delegators clustered in one of the two groups of schools. The program choices of all classes were sensitive to the support of principals, colleagues, students, and, to a lesser extent, parents. All classes preferred programs conducted from kindergarten through Grade 12 that addressed the problems underlying bullying while valuing firm and consistent consequences for all students. Educators preferred AB programs selected by individual schools, rather than governments.

Trajectories of Observed Shyness and Psychosocial Adjustment in Children.

Shyness can manifest as inhibition, fear, and avoidance in the context of social novelty and situations of perceived social evaluation. In the present study, 130 children (Mage = 7.6 years, SD = 1.8) participated in a videotaped self-presentation task across three separate visits spanning approximately 3 years in early and middle childhood. Children's observed shyness was best characterized by two trajectories, including a high-stable class (19%) and a low-stable class (81%). Girls were more likely than boys to follow a pattern of high-stable observed shyness. Further, children in the high-stable observed shyness class were rated by parents and teachers as more socially anxious relative to children in the low-stable class, and boys in the high-stable observed shyness class were rated by their teachers as displaying more depressive symptoms relative to girls. These findings suggest that a subset of children display stable behavioral shyness, and this is correlated with psychosocial functioning.

Lactate topography of the human brain using hyperpolarized 13C-MRI.

Lactate is now recognized as an important intermediate in brain metabolism, but its role is still under investigation. In this work we mapped the distribution of lactate and bicarbonate produced from intravenously injected 13C-pyruvate over the whole brain using a new imaging method, hyperpolarized 13C MRI (N = 14, ages 23 to 77). Segmenting the 13C-lactate images into brain atlas regions revealed a pattern of lactate that was preserved across individuals. Higher lactate signal was observed in cortical grey matter compared to white matter and was highest in the precuneus, cuneus and lingual gyrus. Bicarbonate signal, indicating flux of [1-13C]pyruvate into the TCA cycle, also displayed consistent spatial distribution. One-way ANOVA to test for significant differences in lactate among atlas regions gave F = 87.6 and p < 10-6. This report of a "lactate topography" in the human brain and its consistent pattern is evidence of region-specific lactate biology that is preserved across individuals.

Advancing implementation frameworks with a mixed methods case study in child behavioral health.

Despite a growing policy push for the provision of services based on evidence, evidence-based treatments for children and youth with mental health challenges have poor uptake, yielding limited benefit. With a view to improving implementation in child behavioral health, we investigated a complementary implementation approach informed by three implementation frameworks in the context of implementing motivational interviewing in four child and youth behavioral health agencies: the Active Implementation Frameworks (AIF) (process), the Consolidated Framework for Implementation Research (factors), and the Implementation Outcomes Framework (evaluation). The study design was mixed methods with embedded interrupted time series and motivational interviewing (MI) fidelity was the primary outcome. Focus groups and field notes informed perspectives on the implementation approach, and a questionnaire explored the salience of Consolidated Framework for Implementation Research (CFIR) factors. Findings validate the process guidance provided by the AIF and highlight CIFR factors related to implementation success. Novel CFIR factors, not elsewhere reported in the literature, are identified that could potentially extend the framework if validated in future research. Introducing fidelity measurement in practice proved challenging and was not sustained beyond the study. A complementary implementation approach was successful in implementing MI in child behavioral health agencies. In contrast with the typical train and hope approach to implementation, practice change did not occur immediately post-training but emerged over a 7 month period of consultation and practice following a discrete interactive training period. The saliency of CFIR constructs aligned with findings from studies conducted in other contexts, demonstrating external validity and highlighting common factors that can focus planning and measurement.

What Antibullying Program Designs Motivate Student Intervention in Grades 5 to 8?

Educators detect and intervene in a small proportion of bullying incidents. Although students are present when many bullying episodes occur, they are often reluctant to intervene. This study explored attributes of antibullying (AB) programs influencing the decision to intervene. Grade 5, 6, 7, and 8 students (N = 2,033) completed a discrete choice experiment examining the influence of 11 AB program attributes on the decision to intervene. Multilevel analysis revealed 6 latent classes. The Intensive Programming class (28.7%) thought students would intervene in schools with daily AB activities, 8 playground supervisors, mandatory reporting, and suspensions for perpetrators. A Minimal Programming class (10.3%), in contrast, thought monthly AB activities, 4 playground supervisors, discretionary reporting, and consequences limited to talking with teachers would motivate intervention. Membership in this class was linked to Grade 8, higher dispositional reactance, more reactance behavior, and more involvement as perpetrators. The remaining 4 classes were influenced by different combinations of these attributes. Students were more likely to intervene when isolated peers were included, other students intervened, and teachers responded quickly. Latent class analysis points to trade-offs in program design. Intensive programs that encourage intervention by students with little involvement as perpetrators may discourage intervention by those with greater involvement as perpetrators, high dispositional reactance, or more reactant behavior.

Longitudinal trajectories of depression symptoms in children with epilepsy.

AIM: To examine self- and proxy-reported symptoms of depression in children with epilepsy. METHOD: This was a prospective longitudinal cohort study of children with epilepsy. Participants were treated at six Canadian tertiary-care centers and followed over 28 months with repeated assessments of child self-reported symptoms of depression using the Children's Depression Inventory Short-Form (CDI-S). Trajectories of symptoms of depression were estimated using linear mixed effects (LME) modeling. RESULTS: At baseline, 477 children had complete data (mean age [SD] 11y 5mo [2y 1mo], range 7y 7mo-15y 1mo; 234 females, 243 males). Mean CDI-S T score at baseline was 45.7 (SD=7.5) and at 28 months was 44.9 (SD=8.2), both were within the 'average' range. Results from LME modeling revealed mean raw CDI-S score of 1.897, corrected for age 10 years (corresponding to T scores slightly below the normed mean of 50), with no significant change over three measurements (slope=-0.113, p=0.135), indicating that CDI-S scores were stable over 28 months. Children with high initial CDI-S scores had lower subsequent scores, as demonstrated by the correlation of -0.827 between intercept and slope (p<0.001). Parents reported comparable findings. INTERPRETATION: Self- and proxy-reported symptoms of depression were generally low and stable over an extended follow-up period. Normalization of scores was seen upon repeated assessment, even in children with higher scores of symptoms of depression at one point. These findings speak to the value and importance of repeated assessment over time. WHAT THIS PAPER ADDS: In children with epilepsy, self- and proxy-reported symptoms of depression were generally low and stable over 28 months. The trajectory of symptoms of depression was not associated with seizure severity, whether considering the frequency or type of seizures. Parents' reports of symptoms of depression were comparable to the children's self-evaluations.