Citations

Background Bileaflet aortic valve prevalence in transcatheter aortic valve replacement (TAVR) patients is poorly defined. We evaluated a TAVR cohort to determine the bileaflet aortic valve prevalence and understand features which may improve detection. In addition, we related valvar morphology to the occurrence of permanent pacemaker implantation (PPI) following TAVR. Methods Aortic valvar morphology diagnosis was recorded from the pre-procedural cardiac CTA reports prior to TAVR. Commissural angles, comparison of commissural heights, and dynamic visual inspection of the aortic valve were subsequently evaluated on pre-procedural cardiac CTA by an expert cardiac anatomist and imager, methods previously validated in a surgical cohort, to determine aortic valvar morphology and compared to the historical diagnosis. Relationships between valvar morphological characteristics with the need for PPM within 30-days post-TAVR were determined. Results Four-hundred and thirty-three (mean age 81.3 ± 6.6 years, 53.8% female) underwent TAVR [corrected diagnosis: 393 (90.8%) trileaflet vs. 40 (9.2%) bileaflet valves]. Bileaflet valves were historically misdiagnosed in 80% of pre-procedural cardiac CTA reports. Thirty-four (85.0%) had intercoronary leaflet fusion [mean commissural angle = 148.1 (18.3) degrees]. A commissural angle threshold of 141.1 degrees had a sensitivity of 0.73 and specificity of 0.86 for identifying a bileaflet valve. PPI post-TAVR occurred in 38% bileaflet vs. 19% trileaflet patients ( p = 0.0114 ) [unadjusted OR for bileaflet valve requiring PPI = 2.54, 95% CI (1.25–5.01)]. Conclusions Bileaflet aortic valves are commonly misdiagnosed. Assessment of the commissural angle and comparison of commissural heights may improve CTA-based diagnostic accuracy prior to TAVR. Improved detection may guide improved outcomes in this higher risk population.

According to the current WHO classification, noninvasive germ cell neoplasia of the testis comprises germ cell neoplasia in situ (GCNIS), specific forms of intratubular germ cell neoplasia, and gonadoblastoma. Because type II germ cell tumors (GCT, type II) arise from GCNIS, accurate detection of precursor lesions is diagnostically important. In preparation for the 2024 International Society of Urological Pathology (ISUP) Consensus Conference on genitourinary precursor lesions, which took place in Florence, Italy, an anonymous survey was distributed to ISUP members to assess current diagnostic practices regarding testicular precursor lesions. The literature and current WHO classification affirm the significance of precursor lesions in testicular tumours. Working Group 4—Precursor Lesions of the Testis—focused on their practical application by individual pathologists rather than establishing consensus from scientific data. There is strong agreement that GCNIS is the preferred and appropriate term for GCT precursor lesions and that its presence should be reported in cases of invasive GCT. Respondents also agree that “seminoma with intratubular nonseminoma” is the appropriate terminology for seminoma with an associated noninvasive nonseminomatous (embryonal carcinoma, yolk sac tumor, trophoblasts, or teratoma) component. Most pathologists prefer to use OCT3/4 as the primary immunohistochemical marker, and a panel was generally not considered necessary. No consensus is reached regarding the requirement for immunohistochemistry to confirm GCT precursor lesions in the testis. Three questions remain open: the value of subtyping intratubular lesions, the immunohistochemical approach to gonadoblastoma, and the criteria distinguishing Sertoli cell nodules from Sertoli cell tumors.

Abstract Background Radiologist burnout affects approximately 40% of US radiologists. Large language models (LLMs) may improve workflow efficiency, but real-world implementation data are limited. Objective To evaluate LLM-assisted workflow impact on radiologist efficiency using the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Design, Setting, and Participants: HIPAA-compliant, IRB-approved retrospective cohort study of a single fellowship-trained abdominal radiologist at Mayo Clinic Arizona. We compared baseline (January–April 2024) and post-implementation (December 2025–February 2026) periods. A custom generative pre-trained transformer was developed using ChatGPT Enterprise with disease-specific templates. Main Outcome Measures: Inter-study interval time (proxy for interpretation time) compared using Wilcoxon rank-sum tests with Bonferroni correction (α = 0.0125). UTAUT constructs assessed: performance expectancy (efficiency), effort expectancy (training burden), facilitating conditions (infrastructure), and behavioral intention (satisfaction). Results We analyzed 609 studies (495 CT, 114 MRI). LLM assistance significantly reduced inter-study intervals for outpatient CT with contrast (23.0 vs 13.0 minutes; difference 10 minutes; p = 0.0021) and without contrast (18.5 vs 7.0 minutes; difference 11.5 minutes; p = 0.0017). No improvement occurred for MRI with contrast (14.0 vs 16.0 minutes; p = 0.2808) or without contrast (14.0 vs 7.0 minutes; p = 0.0889). The radiologist reported improved work-life balance for CT but neutral satisfaction for complex MRI templates. Training required 10 hours over 5 days. Conclusions LLM-assisted workflow reduced interpretation times for standardized CT studies but not heterogeneous MRI examinations, supporting UTAUT's emphasis on performance expectancy and task–technology fit as adoption drivers. Efficiency gains may reduce documentation burden when tools align with task complexity.

ABSTRACT Disease Overview AL amyloidosis is a clonal plasma cell disorder in which fragments of immunoglobulin light or heavy chain are deposited in tissues. Clinical features depend on organs involved but can include HFpEF, nephrotic syndrome, hepatic dysfunction, peripheral/autonomic neuropathy, and “atypical smoldering multiple myeloma or MGUS.” Diagnosis Tissue biopsy stained with Congo red demonstrating amyloid deposits with apple‐green birefringence is required. Organ biopsy is not required in 85% of patients. Verification that amyloid is composed of immunoglobulin light chains is mandatory. Prognosis N‐terminal pro–brain natriuretic peptide (NT‐proBNP or BNP), serum troponin T (or I), and difference between involved and uninvolved immunoglobulin free light chain values are used to classify patients into four stages; 5 year survivals are 82%, 62%, 34%, and 20% respectively. Therapy All patients with a systemic amyloid syndrome require therapy to prevent deposition of amyloid in other organs and prevent progressive organ failure. Current first line therapy with the best outcome is daratumumab, bortezomib, cyclophosphamide, and dexamethasone. The goal of therapy is a ≥ VGPR. In patients failing to achieve this depth of response, options for consolidation include pomalidomide, stem cell transplantation, and venetoclax. T‐cell redirecting therapies, both bispecific antibodies and car T, show high level activity and may soon become standard second‐line therapy. Future Challenges Delayed diagnosis remains a major obstacle to initiating effective therapy prior to the development of end‐stage organ failure. An antibody to deplete deposited κ fibrils has reported benefit in patients with cardiomyopathy.

ABSTRACT Background Concomitant atrial fibrillation (AF) and gastrointestinal (GI) bleeding present a clinical challenge due to recurrent bleeding risk associated with anticoagulation for AF‐associated stroke prevention. Left atrial appendage occlusion (LAAO) offers an alternative stroke prevention strategy, but its impact on recurrent GI bleeding remains unknown. Methods This retrospective, multicenter cohort study used the TriNetX database to identify adults with AF on oral anticoagulation and a history of GI bleeding. Patients were stratified by treatment with or without LAAO. 1:1 propensity score matching (PSM) was employed. The primary outcome was recurrent GI bleeding. Cox regression analysis was used to generate hazard ratios (HRs) with 95% confidence intervals (CIs). Odds ratios (ORs) were used to evaluate effect sizes between groups. Kaplan–Meier curves were used for time‐to‐event analyses. Results After PSM, 9259 patients were compared in each group. Odds of recurrent GI bleeding were consistently lower in patients undergoing LAAO than without LAAO across all follow‐up intervals: at 3 months (OR 0.84; 95% CI 0.78–0.91), 6 months, 1 year, 3 years, and 5 years (OR 0.87; 95% CI 0.82–0.92). Kaplan–Meier analysis demonstrated significantly lower risk of recurrent GI bleeding with LAAO (HR 0.80; 95% CI 0.76–0.84; p < 0.01). Conclusion In patients with AF and prior GI bleeding, LAAO was associated with a significantly lower risk of recurrent GI bleeding at short‐term and long‐term time intervals.

Abstract Aims We sought to determine whether doxorubicin affected echocardiographic parameters of right ventricular (RV) size and function when compared with guideline defined values in patients with lymphoma. Methods and results We enrolled 356 patients with lymphoma from 2013 to 2020. Patients received a mean (SD) of 5.12 (1.48) chemotherapy cycles and a cumulative, body surface area–adjusted doxorubicin dosage of 243.6 (79.6) mg/m2. Echocardiographic assessments occurred at 3 time points: T0, baseline; T1, 3 to 6 months after starting doxorubicin (mean [SD], 5.1 [1.2] months); and T2, 6 to 18 months (mean [SD], 12.98 [2.6] months) after treatment. End-diastolic area remained unchanged (P = 0.12). End-systolic area increased from 10.55 cm2 at T0 to 11.41 cm2 at T1 and 11.32 cm2 at T2 (P &lt; 0.001). Fractional area change decreased from 46.67% at T0 to 44.35% at T1 and 44.40% at T2 (P = 0.003). Tricuspid annular plane systolic excursion decreased from 23.17 (4.14) mm to 22.39 (4.10) mm at T1, and 22.13 (3.88) mm at T2 (P = 0.006). S′ declined from 0.14 m/s at T0 to 0.13 m/s at T1 and T2 (P &lt; 0.001). Tricuspid regurgitant velocity (P = 0.58) and RV systolic pressure (P = 0.75) showed nonsignificant changes. RV free wall strain worsened from −26.29% at T0 to −25.37% at T2 (P = 0.001). All parameters remained within guideline defined values (P &lt; 0.001). No significant differences were noted across dosage groups: &lt;200, 200–300, and &gt;300 mg/m2. Conclusion Echocardiography derived parameters of right ventricular size and function remained within normal guideline-defined values throughout a follow-up of up to 12.98 ± 2.6 months.

ABSTRACT J‐wave syndromes (JWS)—comprising Brugada syndrome (BrS) and early repolarization syndrome (ERS)—are important causes of malignant ventricular arrhythmias and sudden cardiac death in patients whose hearts appear structurally normal. Since the 2016 consensus, advances in genetics, pathophysiology, and therapy have redefined both understanding and management. BrS, once viewed as a purely electrical disorder, is now recognized along a microstructural–electrical continuum, with sodium‐channel dysfunction and subtle epicardial fibrosis of the right ventricular outflow tract as key contributors. Likewise, ERS—historically considered benign—carries significant risk when inferolateral J‐waves coexist with arrhythmic events. Genetically, SCN5A remains the sole gene with definitive disease association, while polygenic susceptibility materially modulates risk, underscoring complex inheritance. Risk stratification remains challenging: patients with prior cardiac arrest or arrhythmic syncope are highest risk, whereas asymptomatic individuals warrant multiparametric assessment integrating clinical features, ECG markers, electrophysiologic studies, and genetics. For decades, treatment centered on implantable cardioverter‐defibrillators and quinidine, both limited by availability, tolerance, and device complications. More recently, epicardial substrate ablation has emerged as a transformative therapy, with large registries and randomized trials demonstrating durable suppression of ventricular fibrillation and acceptable safety. This APHRS‐organized international consensus updates and extends the 2016 Expert Consensus and the 2022 ESC Guidelines, providing contemporary diagnostic frameworks, pragmatic risk‐stratification tools, and treatment algorithms for BrS and ERS. It emphasizes JWS as a microstructural–electrical disease spectrum and elevates substrate ablation as a major therapeutic advance, while outlining priorities for genetics, risk‐stratification and treatment algorithms.

Abstract Objective To investigate the ability of artificial intelligence‐enabled electrocardiogram (AI‐ECG) atrial fibrillation (AF) prediction model output and delta age, defined as AI‐estimated age minus chronological age, to predict adverse vascular outcomes in patients with migraine. Background Migraine, especially migraine with aura, is associated with an increased risk of cardiovascular events. Using normal sinus rhythm ECG, our institution has developed AI‐ECG models that predict the probability of AF and estimate patients' age, and from that, delta age (estimated age minus actual age) has been shown to reflect cardiovascular health and physiologic aging. Methods We conducted a retrospective cohort study that included adult patients with migraine who had at least one digital, standard 12‐lead ECG from 2000 to 2020 at any Mayo Clinic site. The first normal sinus rhythm ECG was defined as the index ECG, and those with adverse vascular events or AF prior to, or within 3 days after, index ECG were excluded. AI‐ECG AF prediction model output and delta age were obtained from the index ECG. The primary outcome was a composite endpoint of adverse vascular events that included acute myocardial infarction, acute ischemic stroke, venous thromboembolism, and death. New‐onset AF was also recorded as a secondary outcome. Results A total of 29,928 patients were included. The mean age was 44.3 ± 14.5 years, and the median follow‐up time was 54 months. During the study period, 4662 (15.6%) patients had adverse vascular events, and 1384 (4.6%) patients developed new‐onset AF. A higher AF prediction model output was associated with a higher risk of adverse vascular outcomes (adjusted hazard ratio [aHR]:1.15 [95% confidence interval: 1.12 to 1.18] for every 10% increase in prediction model output), as was a larger delta age (aHR:1.16 [1.12 to 1.21] for every 10‐year increase in delta age). Moreover, AI‐ECG AF prediction model outputs of ≥1% (aHR: 1.45 [1.36 to 1.54]) and delta age ≥−1 years (aHR: 1.09 [1.02 to 1.16]) were found to be the optimal cutoffs to dichotomize patients into high‐risk and low‐risk groups for adverse vascular events. Higher AI‐ECG AF prediction model output at baseline also predicted a higher likelihood of having new‐onset AF during the study period (aHR: 1.31 [1.26 to 1.37]), and the development of new‐onset AF was associated with a higher risk of adverse vascular events (aHR: 2.43 [2.17 to 2.73]). Conclusions For patients with migraine, a higher AI‐ECG AF prediction model output and delta age are predictive of adverse vascular outcomes. A higher AF prediction model output is also predictive of future AF development. Furthermore, we identified the cutoffs for both AI‐ECG models that can distinguish patients between high‐ and low‐risk groups. Our results showed that AI‐ECG models could inform clinical practice and identify patients with migraine at risk for future adverse vascular events.

Abstract Adoptive T-cell therapies using tumour-specific T-cell receptors (TCRs) are limited by competition with endogenous receptors, which impairs efficacy and poses risks of off-target autoreactivity. Here we present a CRISPR-based platform that completely and selectively eliminates both endogenous TCR-α and -β chains without affecting introduced transgenic TCRs, irrespective of codon optimization. This approach achieves >90% deletion efficiency in Jurkat and primary human T cells, markedly enhancing the expression, pairing fidelity, and functional potency of transgenic receptors. Using a clinically relevant HLA-A*02:01-restricted DMF5 TCR, we show that dual TCR ablation boosts antigen-specific activation and cytotoxicity in vitro and significantly enhances tumor clearance in vivo in human immune system (HIS) mice, while preventing graft-versus-host disease (GVHD). Targeted locus amplification revealed that CRISPR-induced double-strand breaks did not alter lentiviral integration profiles, confirming genomic safety. Extending this approach to four insulin-reactive TCRs demonstrated that removal of endogenous receptors increased transduction efficiency and functional activity, with one (1E6) showing selective activation and infiltration of stem cell–derived islet grafts (SC-islets) in vivo . This study establishes a universal, safe, and scalable genome-editing platform for generating functionally precise human T cells. By integrating cancer immunotherapy and autoimmune disease modelling within a single framework, it provides a strong preclinical rationale for dual endogenous TCR removal as a route to improved specificity, safety, and therapeutic efficacy in TCR-based cell therapies.