Citations

A vendor-neutral Agatston score enabled consistent aortic valve calcium quantification across CT systems and improved identification of severe aortic stenosis in patients with discordant echocardiographic findings.

Abstract Genetic studies have significantly advanced our understanding of tauopathies, yet the genetic aetiology of Pick’s disease, a rare 3-Repeat tauopathy, remains unclear. The MAPT p.A152T variant has been identified as a risk factor for Alzheimer’s disease and progressive supranuclear palsy, but its role in Pick’s disease is unknown. In this study, we examined the prevalence of MAPT p.A152T in the largest series of neuropathologically confirmed Pick’s disease cases to date (n = 401). Through genotyping, we identified a single mutation carrier in the Pick’s disease cohort (minor allele frequency = 0.12%). We previously reported MAPT p.A152T at a 0.20% frequency in healthy controls (n = 2456), suggesting that it does not associate with 3-Repeat tauopathy risk. To further investigate the effect of the variant on MAPT transcript expression, we used bulk RNA sequencing in Alzheimer’s disease and progressive supranuclear palsy A152T mutation carriers. We did not detect significant differences in 4-Repeat tau levels, though preliminary trends may indicate more nuanced effects that need to be examined with long-read sequencing in a larger series. Overall, our study suggests that MAPT p.A152T does not increase Pick’s disease risk and may instead be linked to 4-Repeat or mixed tau pathologies, warranting further functional investigation.

ABSTRACT Background Olfactory neuroblastoma (ONB) exhibits variable recurrence patterns, with significant late recurrences occurring years after treatment. We investigated cutoff periods to define late recurrence and identified predictors that distinguish patients at risk of late recurrence from those considered cured. Methods From a multi‐institutional cohort of 219 ONB patients treated at nine centers, we analyzed 77 patients with documented recurrence. Using a 48‐month cutoff to define early (< 48 months) versus late (≥ 48 months) recurrence, we evaluated 35 clinical, anatomic, and treatment variables using Firth penalized logistic regression across three comparisons: (1) late versus early recurrence timing, (2) late recurrence versus no recurrence, and (3) early recurrence versus no recurrence. Results Thirty‐four of the 77 (44.2%) recurrences were classified as late. Among the 77 patients who recurred, smaller tumor volume (OR 0.243, p = 0.035) and lower novel Dulguerov staging (OR 0.802, p = 0.038) were associated with late, rather than early recurrence. When patients with late recurrence were compared to those who remained disease‐free, radiographic skull base bone involvement was the strongest independent predictor (OR 2.90, 95% CI 1.14–8.64, p = 0.025), and this effect strengthened after adjusting for tumor volume (OR 3.80, p = 0.029). Pathologic dural invasion (OR 3.29, p = 0.013), Kadish stage (OR 2.02, p = 0.026), and T‐stage (OR 1.32, p = 0.040) were also significant. Conclusions A 48‐month cutoff effectively stratifies ONB recurrence risk. Skull base bone involvement independently predicts recurrence when compared to nonrecurrent cases and uniquely persists as a risk factor for late recurrence. These findings establish skull base bone involvement as a novel biomarker for risk‐stratified surveillance protocols.

ABSTRACT Background Transvenous lead extraction (TLE) is a commonly performed and generally safe procedure, though procedural complexity and risk can vary based on clinical and procedural factors. Objective This study aims to identify clinical and procedural factors associated with histologic evidence of subclinical vascular injury, defined by elastin positivity on extracted leads and its clinical significance. Methods Patients undergoing TLE with a lead dwell time of ≥ 1 year were included. Extracted leads with tissue were analyzed histologically using Verhoeff–Van Gieson staining to assess the presence of elastin. Demographic data, procedural and lead characteristics, and indication for extraction were obtained. Established extraction risk scores were calculated to determine efficacy in predicting subclinical vascular injury. Results The cohort included 49 patients with 92 leads extracted. A total of 25 patients (51%) had elastin‐positive leads. Complete procedural success occurred in 95.9% of cases. The multivariate regression model did not identify any independent predictors of elastin presence, including age (OR = 1.00; 95% CI 0.95–1.05; p = 0.89), female gender (OR = 3.04; 95% CI 0.67–13.65; p = 0.14), lead dwell time (OR = 1.13; 95% CI 0.98–1.29; p = 0.07). Additionally, no scoring system, such as the CCF, EROS, MB, SAFeTY, and LECOM, predicted the presence of elastin. Conclusion Subclinical venous injury was common following TLE, yet did not predict adverse clinical outcomes, reinforcing that TLE performed in experienced centers carries a favorable safety profile. Future studies in larger cohorts are needed to further characterize the clinical utility of subclinical vascular injury.

PURPOSE Precision medicine has revolutionized oncology; however, tumor biomarkers are not reflective of the heterogeneous cancer population. We evaluated NRG Oncology prostate cancer (PCa) clinical trials for demographic differences among patients with optional biospecimen collection (BC) consent and biospecimen submission (BSub). METHODS Data from 19 NRG PCa clinical trials closed before 2015 were analyzed. Patients who consented to BC and completed BSub were evaluated by race, ethnicity, median income, area deprivation index (ADI; categorized as highest v lowest three quartiles), age at enrollment, site, and year of enrollment. T/chi-square tests were used for continuous/categorical variables, respectively, followed by logistic regression. RESULTS Of the 15,648 randomized patients eligible for BC, 11,796 (75%) had specimens submitted. In all, 4,598 (82.2%) of 5,597 eligible patients consented for optional BC in nine clinical trials with a separate BC consent process (consent rates by race/ethnicity: 74.1% Black, 72.8% Hispanic/Latino, 83.8% White). A smaller proportion of Black and Hispanic/Latino patients consented to optional BC compared with those who did not (12.1% v 19.5% Black, P < .0001; 3.5% v 5.8% Hispanic, P = .0006). In univariable logistic regression models, high ADI (more socioeconomic disadvantage) was associated with a decreased likelihood for optional BC consent (odds ratio [OR], 0.67 [95% CI, 0.55 to 0.82]; P = .02), but not a decreased likelihood for BSub (OR, 0.74 [95% CI, 0.53 to 1.04]; P = .08). Multivariable models demonstrated that Black/Hispanic/Latino patients were less likely to consent to optional BC, and Black patients were less likely to have BSub ( P < .05 for all). CONCLUSION White/non-Hispanic patients and those with less socioeconomic disadvantage were more likely to consent to optional BC, whereas Black patients were less likely to have BSub. Targeted solutions are needed to improve biorepository representation so that precision medicine approaches better reflect the cancer population.

Introduction: This study aimed to develop and evaluate a deep learning (DL) deblurring algorithm for computed tomography (CT). Phantom testing assessed whether DL deblurring could improve CT image quality and coronary artery calcium (CAC) detectability. Materials and Methods: The algorithm consisted of 2 sequential convolutional neural networks (CNNs): one for denoising and one for deblurring. After deblurring, the estimated noise from the first model was reintroduced to preserve image texture. The CNN denoising model was trained to map high-noise images to routine low-noise ones. The CNN deblurring model was trained using natural images—blurred inputs paired with sharp targets. To assess performance, an anthropomorphic phantom with 100 small calcifications was scanned on a CT system using a CAC scoring protocol. Data were acquired at clinical and high doses, then reconstructed with and without DL deblurring, using 25% of the maximum denoising strength. Detectability was defined as the ability to calculate an Agatston score (≥3 adjacent voxels >130 HU). Results: At high dose, CAC detectability increased from 39% (standard reconstruction) to 48% with deblurring. Similar detectability (39%) was achieved at the routine dose with deblurring, representing a 6% improvement compared with the original routine dose data. Discussion: Quantitative results from phantom testing demonstrate that DL deblurring can improve image quality, based on a clinically relevant, task-based CAC detection metric at clinical dose levels.

ABSTRACT Background In patients with atrial fibrillation (AF) and heart failure with reduced ejection fraction (HFrEF), atrioventricular node ablation (AVNA) and permanent pacing are often pursued when rhythm control is not pursued. Biventricular pacing (BiVP) has demonstrated benefits over right ventricular pacing, while conduction system pacing (CSP) has emerged as an alternative. However, evidence directly comparing CSP with BiVP in this high‐risk population remains inconsistent. Objective To compare CSP versus BiVP in patients with AF and HFrEF undergoing AVNA, focusing on cardiac function, clinical outcomes, and procedural metrics. Methods Following PRISMA guidelines, we searched PubMed, Scopus, and Web of Science through February 2026 for studies comparing CSP and BiVP in adults with AF and HFrEF undergoing AVNA. Outcomes included all‐cause mortality, heart failure hospitalization (HFH), changes in left ventricular ejection fraction (LVEF), QRS duration, New York Heart Association (NYHA) class, pacing threshold, procedure duration, and fluoroscopy duration. A random‐effects model was used to pool mean differences (MDs) or risk ratios (RRs) with 95% confidence intervals (CIs). Results Six studies (one randomized crossover trial and five observational studies; N = 766 patients: CSP = 356, BiVP = 410) were included. All‐cause mortality was significantly reduced in favor of CSP (RR 0.64 [CI: 0.44 to 0.94], p = 0.02, I 2 = 0%). There was also a trend towards lower HFH, but it marginally missed statistical significance (RR 0.77 [CI: 0.58 to 1.03], p = 0.08; I 2 = 0%). Additionally, CSP decreased NYHA class (MD ‐0.64 [CI: −1.18 to −0.10], p = 0.02; I 2 = 85%) and significantly reduced QRS duration (MD −33.56 ms [CI: −52.36 to −14.76], p = 0.0005; I 2 = 97%). LVEF improvement did not significantly differ between groups (MD 4.51% [95% CI: −1.50 to 10.52], p = 0.14; I 2 = 98%). Procedure duration and fluoroscopy times did not show statistically significant difference between the two groups (MD −11.54 min [CI: −50.05 to 26.97], p = 0.56, I 2 = 96%), and (MD −5.75 min [CI: −13.13 to 1.63], p = 0.13, I 2 = 88%), respectively. Overall pacing thresholds did not significantly differ between CSP and BiVP; however, modality‐specific subgroup analysis showed comparable thresholds between HBP and BiVP, whereas LBBP was associated with significantly lower pacing thresholds than BiVP. Conclusions Among patients with AF and HFrEF undergoing AVNA, CSP may offer symptomatic and electrocardiographic advantages over BiVP, with a possible signal toward improved major clinical outcomes that requires confirmation in larger randomized studies.

Abstract Grey matter network topology is altered in Alzheimer’s disease and these alterations are related to cognitive decline. Understanding the biological underpinnings of loss of brain connectivity may provide insights into mechanisms related to developing Alzheimer’s dementia (i.e. dementia A+). We investigated which biological processes as measured in CSF proteomics were associated with loss of brain connections across the Alzheimer’s disease continuum. We included 347 individuals with abnormal CSF amyloid [mean age ± standard deviation (SD) 66 ± 8; 98 cognitively unimpaired—A+, 88 mild cognitive impairment—A+, 161 dementia A+] and 146 cognitively unimpaired individuals with normal CSF amyloid (mean age ± SD 62 ± 8) and available T1w MRI-scans and CSF proteomic data (3097 proteins using tandem mass tag spectrometry) from the Amsterdam Dementia Cohort. We used an automated pipeline to construct grey matter networks from 3D-T1 sequences and for each network, calculated the small-worldness coefficient, which we previously found to be robustly related to cognitive decline. Linear models were applied to test associations between CSF protein levels and connectivity measures using an interaction term for clinical stage while controlling for connectivity density, age and sex. We validated our results in data from the Alzheimer’s disease Neuroimaging Initiative (ADNI). Pathway enrichment analysis was performed for proteins associated with loss of brain connectivity (P &lt; 0.05) using the Gene Ontology database. Individuals across the Alzheimer’s disease continuum had lower small-worldness coefficients compared with controls (ANOVA P &lt; 0.001). In amyloid positive individuals, higher levels of 222 proteins and lower levels of 482 proteins were associated with lower small-worldness coefficients and were enriched for innate immune system and neuroplasticity pathways, respectively. Stratified for disease stage, most protein associations with lower small-worldness coefficients were found in mild cognitive impairment A+ (n = 527 proteins) and dementia A+ (n = 799 proteins) with considerable overlap (n = 239 proteins). Proteins in these stages were enriched for complement activation and synaptic integrity. In cognitive unimpairment A+, we found proteins enriched for processes involved in apoptosis. We did not find any enriched biological processes in controls. Repeating analyses in ADNI indicated that similar biological processes were associated with altered grey matter network connectivity. Higher CSF levels of proteins involved in immune responses and lower levels of proteins related to neuroplasticity were associated with lower small-worldness coefficients across the Alzheimer’s disease continuum. This suggests that preserving cognitive function in the presence of amyloid and prevention of dementia A+ may require therapies that strengthen synapses and targets the innate immune system in addition to amyloid and tau.