Citations

Introduction: AI-driven software has been recommended as a means of triaging suspected large vessel occlusions (LVOs) on CT angiography (CTA), and different solutions are now commercially available. This study compared the performance of two software packages, Brainomix 360 Triage LVO and Rapid LVO, in prospective, real-world use. Methods: Consecutive patients scanned for suspected stroke at 3 comprehensive stroke centres from May to July 2024 (3 months) were included in the study. CTA, where available, was processed in real time by both Rapid and Brainomix software. Ground truth on vessel occlusion was ascertained using clinical review of electronic medical records. Occlusion location was coded as intracranial internal carotid artery terminus (ICA-T), middle cerebral artery (MCA) M1 or MCA M2. If more than one occlusion was observed, the most proximal of these was taken as the primary vessel affected. Results: There were 561 suspected stroke patients scanned during the study period across the three sites. Of these, CTA was sent for processing by both Rapid LVO and Brainomix 360 Triage LVO for 359 cases. Cases were excluded if no contrast was detected (n=17), leaving 342 cases (Table 1). Of these, proximal LVO (ICA-T or MCA M1) was confirmed in 14 cases and MCA M2 occlusions were present in 6 cases. Table 2 shows the LVO detection results for all cases from the two software packages. For both devices, sensitivity was higher when considering only proximal occlusions (ICA-T or M1). Performance was similar overall, but there was a trend towards differing sensitivity for more distal occlusions. As a composite measure, area under the curve (AUC) was higher for Brainomix than Rapid (Figure 1) but this difference was not significant. The positive predictive value (PPV) was low for both software packages due to the low incidence of LVO in the patient population. Conclusions: This study demonstrated consistent performance of two AI software devices, Brainomix 360 Triage LVO and Rapid LVO, for detection of LVO on CTA imaging, in prospective, real-world use. The low number of positive cases in the dataset (N=21) is a limitation of the study. There was a trend towards different performance for more distal vessel occlusion locations. Overall, the sensitivity observed in this dataset was in line with reports from previous retrospective studies for both software packages and underlines the importance of prospective evaluation to understand real-world performance.

Background: High-grade intracranial atherosclerosis (ICAS) is associated with an elevated risk of recurrent ischemic stroke, particularly in patients with severe stenosis (70–99%). Identifying predictors of early recurrence can inform risk stratification and guide treatment strategies. Methods: The Biomarkers and Recurrence Risk in Symptomatic Intracranial Arterial Stenosis (BIORISK-ICAS) study is a multicenter, international, retrospective cohort analysis pooling data from 35 comprehensive stroke centers. We included hospitalized adult patients with symptomatic ICAS, defined as 50–99% stenosis of an intracranial artery (intracranial vertebral, basilar, distal ICA, or M1 MCA), confirmed by vascular imaging and associated with a qualifying ischemic event. Patients with only high-grade stenosis (70-99%) were included in this analysis. The primary outcome was to determine predictors of recurrent ischemic stroke in the territory of the symptomatic artery within 90 days of the index event. Baseline demographic, clinical, and imaging characteristics were recorded. Multivariable Cox proportional hazards regression with stepwise selection (p < 0.1) was used to identify independent predictors of recurrence; model discrimination was assessed using Harrell’s C-statistics. Results: Among 2,050 patients, 1,476 had high-grade (70-99%) symptomatic ICAS. The mean age was 67 ± 12.5 years, and 767 (55%) were male. Most patients were non-Hispanic (90.1%), taking dual antiplatelet therapy (77.8%), and statins (94.5%). Recurrent stroke occurred in 160 patients (10.8%) within 90 days. In multivariable Cox model, independent predictors of recurrence included atrial fibrillation (HR 2.05; 95% CI, 1.26–3.33; p = 0.004), hyperlipidemia (HR 1.57; 95% CI, 1.10–2.24; p = 0.014), diabetes mellitus (HR 1.36; 95% CI, 0.98–1.88; p = 0.064), and home use of dual antiplatelet therapy (HR 1.60; 95% CI, 1.01–2.54; p = 0.043)(Harrell’s C-statistic=0.62). In patients who underwent perfusion(n=402), mistmatch >10seconds were associated with increased recurrence (HR 1.80; 95% CI 0.95-3.38, p=0.07) and atrial fibrillation (HR 2.06: 95% CI 0.03-4.60, p=0.78) though did not reach statistical significance. Conclusion: In this population, diabetes, hyperlipidemia, atrial fibrillation, and prior use of dual antiplatelet therapy were associated with increased risk of 90-day recurrent ischemic stroke. Perfusion imaging may help identify high-risk patients who could benefit from intensified secondary prevention.

Introduction: Functional outcome scales are commonly used in neurological clinical trials. Prior studies suggested that these scales may reflect symptomatic hemorrhage (SH), but their performance in detecting treatment effects has not been assessed in clinical trials of cerebral cavernous malformations (CCM). And they have not been correlated with CCM bleeding as reflected by lesional iron content assessed by quantitative susceptibility mapping (QSM) MRI. Hypothesis: We hypothesized that functional outcome measures would detect differences between treatment arms in a randomized clinical trial of hemorrhagic CCM, and reflect new SH or a ≥6% increase in mean lesional QSM reflective of CCM bleeding. Methods: Eighty adults with CCM-related SH in the prior 12 months of enrollment were randomized 1:1 to atorvastatin 80 mg/day or placebo for 2 years. Functional outcomes, including mRS, EQ-5D index, EQ-VAS, and PROMIS-29 domains, were collected at baseline, Year 1, and Year 2. Analyses were conducted in 63 participants (32 atorvastatin, 31 placebo) in the modified intention-to-treat trial cohort who had contributed at least one paired annual clinical and imaging assessment. Results: No significant differences were found between atorvastatin and placebo groups in any functional outcome measure across timepoints. Rates of functional decline and improvement were comparable, except for PROMIS Fatigue which improved more in the atorvastatin than placebo patients from baseline to Year 1 (p=0.019). Pooled analyses showed that several functional domains had strong specificity for identifying SH. PROMIS Sleep Disturbance decline from baseline to Year 2 was associated with SH (p=0.0045; specificity 92.3%, sensitivity 57.1%). A ≥10-point drop in EQ-VAS from baseline to Year 1 identified all SH cases during that interval (p=0.007; sensitivity 100%, specificity 83.6%). Functional decline had low sensitivity in detecting CCM bleeding on QSM, though specificity was high (>75%) across domains. Conclusions: Atorvastatin did not influence functional change over 2 years by any measure. PROMIS Sleep Disturbance and EQ-VAS demonstrated high specificity, and in the case of EQ-VAS also a high sensitivity for identifying SH. Functional outcomes across domains also had high specificity for occult bleeding in CCMs as measured by QSM. Poor sensitivity and consistent improvements over time demonstrate the limitations of functional outcome measures as endpoints of drug effects on CCM bleeding.

Background: It is not clear if changes in lesion volume might represent a clinically relevant and statistically advantageous outcome parameter in early phase trials of novel drugs aimed at preventing bleeding in cerebral cavernous malformations (CCM). Methods: We analyzed the modified intention to treat cohort (33 patients receiving atorvastatin and 31 placebo) who contributed at least one paired imaging biomarker in the recently completed double-blinded randomized controlled AT CASH EPOC trial (clinicaltrials.gov NCT02603328). We examined prospective changes in CCM lesion volume and correlated these with symptomatic hemorrhage (SH) events. We contemporaneously assessed changes in lesional iron content by quantitative susceptibility mapping (QSM) on MRI, and objective (mRS) and subjective (EQ-VAS) functional status. We also simulated sample sizes needed to detect potential effects of a drug on lesion volume. Results: There was excellent correlation between independently assessed maximum lesion diameter and CCM lesion volume (R 2 = 0.68, P<0.0001). The mean (SD) percentage change in lesion volume per year was +6 (65) and +18 (94) in atorvastatin and placebo patients, respectively (P= 0.43). All cases with SH had increases in lesion volume as well as increases in mean lesional iron content by QSM, and most had declines in functional status on mRS and EQ-VAS. But there were many cases with increases in lesion volume with improved functional status or decreased mean lesional QSM, and other cases with worsening in function or increased lesional QSM and decreased lesion volume. There were no significant correlations of changes in lesion volume with concomitant changes in mean lesional QSM, mRS or EQ-VAS (all R/R 2 <0.5 and Bonferroni corrected P>0.05), including in brainstem lesions analyzed separately. Sample size simulations indicate larger numbers of cases needed to demonstrate a drug effect on changes in lesion volume than those needed to detect an effect on QSM change with a=0.05 and b=0.8, and even larger samples to detect effects on the proportion of cases with increased or decreased lesion volume. Conclusion: Changes in lesion volume occur frequently in CCM lesions after recent SH, but do not correlate with measures of bleeding in the lesions, nor appear to reflect functional changes. And they are not statistically advantageous in comparison to QSM measures for detecting potential drug effects.

Introduction: Emerging evidence highlights the increased white matter hyperintensity (WMH) burden in APOE4 homozygotes, the greatest genetic risk factor for late-onset Alzheimer's disease (AD). The link between WMH and cerebral amyloid-beta (Aβ) accumulation remains unclear, especially in presymptomatic AD phases. We aimed to determine whether WMH burden (global or regional) mediates the association between APOE4 homozygosity and amyloid-PET Aβ deposition in a population of subjects with intact cognition. Methods: WMH were segmented using a deep learning model applied to T1 and T2-FLAIR MRI scans from 49 cognitively intact individuals older than 50. The global and regional (periventricular, lobar, basal ganglia, infratentorial) WMH volumes were adjusted for total intracranial volume and log-transformed to normalize distribution. Amyloid-PET cerebral Aβ burden was quantified in centiloid units; individuals with centiloid > 20 were classified as Aβ-positive. To examine our mediation hypothesis, we tested three pathways using logistic and linear regression models: 1) Path a, the association between APOE4 and global or regional WMH volumes (outcome); 2) Path b, the association between WMH volumes and Aβ positivity (outcome); 3) Path c (total) and c' (direct) effects of APOE4on Aβ positivity (outcome), before and after adjusting for WMH volumes. All models incorporated age and vascular risk factors (hypertension, diabetes, hypercholesterolemia, cigarette smoking). Results: We included 11 APOE4 homozygotes, of whom 7 were Aβ-positive and 38 non-carriers (35 3/3 and 3 3/2) (6 Aβ-positive). Compared to APOE4 non-carriers, APOE4 homozygotes had significantly greater WMH volumes in the posterior periventricular region only (p= 0.0453) (path a). Homozygotes were significantly more likely to be Aβ-positive compared to non-carriers (total effect, path c p=0.0019). This association remained significant after adjusting for WMH (direct effect, path c'= 0.0027). However, neither global (p=0.72) nor posterior periventricular (p=0.84) WMH volumes predicted Aβ positivity (path b) (Figure). Conclusions: In our cohort of cognitively normal individuals including preclinical AD, neither global nor regional WMH burden mediated the relationship between APOE4 homozygosity and Aβ positivity. Larger studies are needed to further evaluate the mechanistic relationship between WMH and neurodegeneration in APOE4 carriers.

INTRODUCTION: Reliable biomarkers for the diagnosis of chronic pancreatitis (CP) and pancreatic fibrosis severity are lacking, hindering effective treatment and management. Histologic fibrosis is a hallmark of late-stage CP, but noninvasive methods to evaluate fibrosis progression are limited. We used urine proteomics to discover biomarkers that identify patients with CP and predict fibrosis severity. METHODS: We performed a cross-sectional study of 130 total subjects (CP n = 50) selected based on clinical criteria in a tertiary care setting. Urine proteomics samples were quantified using data-independent acquisition mass spectrometry. Differential biomarker candidates were identified with false discovery rate-corrected pairwise comparisons. These proteins were validated with an independent paired urine and plasma sample cohort (n = 36). Machine learning was used to develop a protein panel that predicted Ammann scores for patients with histologic fibrosis. RESULTS: We found 34 proteins consistently differentially expressed between CP and controls in pairwise false discovery rate-controlled tests. Of these, 25 urine proteins outperformed 19 previously suggested CP blood-based biomarkers in an independent validation cohort. Isocitrate dehydrogenase (IDH1), calcyphosin (CAPS), synuclein gamma (SNCG), and protein S100-P (S100P) all produced receiver operator curve area under the curve values >0.95, while the best plasma marker was interleukin 2 receptor subunit alpha (receiver operator curve area under the curve = 0.80). A 12-protein panel of identified markers predicted fibrosis severity with a linear correlation R 2 value of 0.61. DISCUSSION: We identified a panel of proteins that may diagnose CP in children and developed a model to predict pancreatic fibrosis severity, offering promising tools for improving diagnostics and patient care.

Background Light chain (AL) amyloidosis is a rare disease caused by the misfolding of immunoglobulin light chains produced by a plasma cell dyscrasia. Patients can present with involvement of many organs, including the heart, kidneys, liver, nerves, and other sites, resulting in a high symptom burden. Timely and accurate diagnosis is important to prevent organ failure and improve patient survival. Objective These evidence-based guidelines of the American Society of Hematology (ASH) are intended to support patients and clinicians in the timely and effective diagnosis of AL amyloidosis. Methods ASH formed a multidisciplinary guideline panel that included 22 individuals representing various medical specialties (academic and community hematology, nephrology, neurology, cardiology, internal medicine, and pathology) as well as 1 patient representative. The group was balanced to minimize potential bias from conflicts of interest. The University of Kansas Medical Center supported the guideline development process, including updating or performing systematic evidence reviews (up to 6 March 2023). The panel prioritized clinical questions and outcomes according to their importance for clinicians and patients. The panel used the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach, including GRADE evidence-to-decision frameworks, to assess evidence and make recommendations, which were subject to public comment. Results The panel agreed on 12 recommendations. Conclusions The use of serum immunofixation, urine immunofixation, and serum free light chains enhances the clinical suspicion of AL amyloidosis. The diagnosis of AL amyloidosis can be made effectively through surrogate biopsies, which require both a bone marrow biopsy and fat-pad sampling; however, target organ biopsies may be favored in certain clinical situations.

Abstract Purpose: Prostate-specific membrane antigen (PSMA)–directed therapies provide meaningful clinical benefit in metastatic castration-resistant prostate cancer (mCRPC), yet responses remain limited, underscoring the need for additional biomarkers of PSMA expression heterogeneity. In this study, we explored the relationship between PSMA imaging and PSMA expression on circulating tumor cells (CTC) in our early-phase trial using a PSMA-targeted small molecule. Experimental Design: This phase I study investigated EC1169, a small molecule conjugated to a tubulysin analog warhead, and 99mTc–EC0652, a PSMA imaging agent. Part A (dose escalation) identified the recommended phase II dose. Part B (dose expansion) assessed radiographic progression-free survival (rPFS) as its primary endpoint. We enrolled and treated 103 patients with mCRPC. Most part B patients underwent 99mTc–EC0652 PSMA imaging. A CTC assay assessed PSMA-positive CTCs and their association with response and PSMA imaging. Results: 99mTc–EC0652 single-photon emission computed tomography (SPECT) imaging demonstrated increased sensitivity for detecting bone lesions compared with standard scans (computed tomography/bone scans). Using an optimized CTC assay, we observed that patients with a decrease in PSMA+ CTCs at baseline versus C3D1 displayed a longer rPFS (8 vs. 2.9 months; P = 0.04). Importantly, patients with predominantly PSMA-positive disease on 99mTc–EC0652 imaging also harbored PSMA-negative CTCs, with a subset displaying neuroendocrine prostate cancer–like morphology. Conclusions: Although EC1169 showed limited activity, CTC and imaging analyses showed significant heterogeneity in PSMA expression on CTCs in patients with predominantly PSMA-positive lesions on SPECT. Our study highlights the importance of assessing both PSMA-based CTC and imaging assays in future validation trials.