Citations

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.

Background Immune checkpoint inhibitors (ICIs) improve survival in advanced non-small cell lung cancer (NSCLC), yet current biomarkers such as programmed death-ligand 1 (PD-L1) expression and response criteria (Response Evaluation Criteria in Solid Tumors, RECIST, V.1.1) align poorly with long-term survival. Radiomics has been proposed as a source of novel biomarkers, but standard radiomic approaches suffer from limited biological interpretability and poor generalizability across treatment settings. We address these gaps by developing the Quantitative Vessel Tortuosity (QVT) score, a biologically interpretable imaging biomarker that quantifies tumor vascular complexity—a known mediator of immune evasion—from routine imaging. We hypothesized that QVT score would improve prognostication and enable treatment response monitoring in ICI-treated NSCLC, independent of current biomarkers. Methods This retrospective, multicenter study analyzed 1,301 CT scans from 682 patients with ICI-treated NSCLC. An automated pipeline segmented lesions and tumor-associated vasculature within each scan, extracting 910 QVT features measuring vascular shape and complexity. Unsupervised clustering of these features in a discovery cohort (N=375) was performed to identify fundamental vascular phenotypes. A continuous QVT score was then derived using regularized logistic regression to map patients along this phenotypic spectrum. QVT score was externally validated in ICI monotherapy (N=172) and chemoimmunotherapy (N=135) cohorts. In a longitudinal cohort (n=143), early on-treatment QVT score changes were evaluated for overall survival (OS) association. Results Two robust vascular phenotypes emerged in the discovery cohort: a highly vascularized, chaotic “QVT High” phenotype with poor post-ICI OS and a “QVT Low” phenotype with normalized vasculature and improved ICI outcomes. The continuous QVT score was prognostic for ICI monotherapy (HR=1.17 per 0.1 increase, p=0.0028) and chemoimmunotherapy (HR = 1.23 per 0.1 increase, p = 4.9×10⁻⁵). High QVT status remained prognostic for both treatments after adjustment for PD-L1 and clinical variables (adjusted HR range: 2.13–2.38, p≤0.002). Early decreases in QVT score during therapy, indicating vascular normalization, were associated with improved OS (HR=1.93, p=0.0022) independent of RECIST best overall response and tumor volume change. Conclusions QVT score is a novel, biologically interpretable imaging biomarker that quantifies vascular complexity. It enables automated, non-invasive prediction and monitoring of ICI outcomes by capturing treatment-induced vascular remodeling. Integrating QVT score into clinical decision-making and drug development can address critical gaps in precision oncology.

Abstract Introduction/Background Transthyretin amyloidosis (ATTR) is a debilitating disease that leads to progressive cardiac dysfunction. Tafamidis is the gold standard therapy for ATTR cardiomyopathy. In recent observational studies, sodium-glucose cotransporter-2 inhibitors (SGLT2-Is) have demonstrated cardiovascular benefits in ATTR cardiomyopathy, but their role in ATTR cardiomyopathy as combination therapy with tafamidis remains unclear. Purpose To investigate the impact of combination therapy with tafamidis and SGLT2-Is versus just tafamidis in patients with known ATTR cardiomyopathy. Methods This retrospective cohort study utilized data from the TriNetX multinational database. Patients diagnosed with ATTR cardiomyopathy who received tafamidis were identified and stratified into two cohorts based on SGLT2-I use. Outcomes were assessed over three years, including all-cause mortality, all-cause hospitalizations, acute myocardial infarction (AMI), acute heart failure (HF) hospitalizations, ischemic stroke, atrial fibrillation/flutter, end-stage renal disease (ESRD) or requirement for renal replacement therapy, and ventricular tachycardia. Propensity score matching was used to balance both cohorts based on clinical comorbidities, medication use, and laboratory data. Adjusted odds ratios (OR) were calculated by logistic regression models. Results After propensity score matching, 409 patients were included in each cohort with a follow-up duration of 722 days (SD 320.87) for the SGLT2-I cohort and and 755.90 days (SD 363.26) for the non-SGLT2-I cohort. SGLT2-Is were associated with significantly lower rates of all-cause hospitalizations (41.1% vs. 50.9%; OR 0.67 [p = 0.005]) and AMI (6.6% vs. 13.9%, OR 0.44 [p = 0.001]), which persisted by three years (all-cause hospitalizations: 52.1% vs. 61.4%, OR 0.67 [p = 0.006] and myocardial infarction: 11.2% vs. 18.3%, OR 0.56 [p = 0.004]). No significant differences among the two cohorts were observed for all-cause mortality, acute HF hospitalizations, ischemic stroke, atrial fibrillation/flutter, ventricular tachycardia, or ESRD/need for renal replacement therapy. Conclusions SGLT2-Is, in combination with tafamidis, are associated with decreased all-cause hospitalizations and AMI in ATTR cardiomyopathy. While a mortality benefit was not demonstrated, these results depict the magnitude of clinical benefit derived from combination therapy with tafamidis and SGLT2-Is as opposed to prior observational studies which investigated SGLT2-I single therapy

With improvement in medical and surgical care, the number of adults with congenital heart disease (CHD) is soaring. Adults with CHD commonly have impairments in brain health. However, significant gaps in knowledge remain regarding the relevant types and prevalence of neurologic and psychiatric risk and their associated risk factors. We sought to review current evidence, identify gaps in knowledge, and develop key next steps to improve scientific understanding and clinical care. Three working groups—Genetics and Brain Health, Characterizing Neuropsychological and Psychological Outcomes, and Neuropsychological and Psychosocial Interventions—were composed of multidisciplinary experts in relevant clinical and research domains, as well as adults with CHD. Each group identified 5 key knowledge gaps and associated next investigations needed to address those gaps. For Genetics and Brain Health, 5 key knowledge gaps were identified: lack of a standardized neuroimaging protocol for adults with CHD, need to understand neuroradiological–pathological–neuropsychological correlates, role of gene–environment interactions, what can be learned from brain health risk models from other groups, and how existing multimodal approaches influence risk and neuroresilience. Adults with CHD can benefit from routine assessment of brain health, as well as increased clinical and basic research into the underlying factors that contribute to risk and neuroresilience for neurologic and psychiatric sequalae. Multidisciplinary collaborative efforts that incorporate adults with CHD across the research cycle are essential for all key next steps.

Abstract Background Intracranial mesenchymal tumors, FET::CREB fusion-positive (ICMT), show fusions involving FET RNA-binding protein family genes (EWSR1 or FUS) and CREB family of transcription factors (ATF1, CREB1, or CREM). The methylation signature(s), gene expression characteristics, and clinical behavior of this important tumor type require further characterization. Methods We study the methylation profiles of 81 ICMT cases (61 newly profiled cases and 20 cases from publicly available sources). Clinicopathologic and genomic data were recorded for each case when available. Results ICMT showed a relatively distinct methylation signature compared to related tumors. Among the 65 cases where fusion types were documented, the identified fusions included EWSR1::ATF1 (25 cases), EWSR1::CREB1 (12 cases), EWSR1::CREM (21 cases), FUS::CREM (3 cases), and SMARCA2::CREM (4 cases). We confirmed the prior description of 2 distinct subgroups of ICMT (subclasses A and B). The majority of the cases belonged to subclass A (n = 69; 85%), which showed a higher median age compared to subclass B patients (26 years vs. 15 years). Subclass B cases (n = 12; 15%) showed shorter progression-free survival (P < 0.01). Gene expression analysis of ICMT showed key overexpressed markers in ICMT, with significant CREM overexpression regardless of fusion type, when compared to either meningioma alone or a larger group of CNS tumors. Conclusions This work provides further characterization of ICMT as an important CNS mesenchymal neoplasm that is prone to tumor recurrence, showing 2 prognostically relevant methylation subclasses and warranting diagnostic distinction from other epigenetically and histologically related tumors. ICMTs show substantial overexpression of the CREM gene, independent of fusion type.

Abstract Background MR‐guided adaptive radiotherapy (ART) allows for daily plan optimization based on patient‐specific anatomy. Accumulated doses, driven by deformable image registration (DIR), of daily fractions can provide cumulative dose metrics and insights into toxicity and tumor control. In prostate ART, inter‐ and intra‐factional deformations, particularly due to bladder and rectum, pose a challenge to accurate DIR generation. Purpose To quantify geometric and dosimetric accuracy of a proposed prostate MR‐to‐MR DIR approach to support MR‐guided ART dose accumulation. Methods We evaluated DIR accuracy in 25 patients treated with 30 Gy in five fractions on a 1.5 T MR‐linac using an adaptive workflow. For all patients, a reference MR was used for planning, with three images collected at each fraction: adapt MR for adaptive planning, verify MR for pretreatment position verification and beam‐on for capturing anatomy during radiation delivery. We assessed three DIR approaches: intensity‐based, intensity‐based with controlling structures (CS), and intensity‐based with controlling structures and points of interest (CS + P). DIRs were performed between the reference and fraction images and within fractions (adapt‐to‐verify and adapt‐to‐beam‐on). For the evaluation, we propagated CTV, bladder, and rectum contours using the DIRs and compared each to manually delineated contours using Dice similarity coefficient, mean distance to agreement, and dose–volume metrics. Results CS and CS + P improved geometric agreement between manual and propagated contours over intensity‐only DIR. For example, mean distance to agreement (DTA mean ) for reference‐to‐beam‐on intensity‐only DIR was 0.131 ± 0.009 cm (CTV), 0.46 ± 0.08 cm (bladder), and 0.154 ± 0.013 cm (rectum). For the CS, the DTA mean values were 0.018 ± 0.002, 0.388 ± 0.14, and 0.036 ± 0.013 cm. Finally, for CS + P, these values were 0.015 ± 0.001, 0.025 ± 0.004, and 0.021 ± 0.002 cm. Dosimetrically, comparing CS and CS + P for reference to beam‐on DIRs resulted in a change of CTV D98% from [−29 cGy, 19 cGy] to [−18 cGy, 26 cGy], bladder D5cc from [−51 cGy, 544 cGy] to [−79 cGy, 36 cGy], and rectum D1cc from [−106 cGy, 72 cGy] to [−52 cGy, 74 cGy]. Conclusion CS improved geometric and dosimetric accuracy over intensity‐only DIR, with CS + P providing further performance improvement, particularly for bladder. However, session image segmentation remains a challenge, which may be addressed with automated contouring.

BACKGROUND AND OBJECTIVES: Unruptured intracranial aneurysms (UIAs) are increasingly detected and require careful management to prevent rupture. No externally validated score currently predicts procedural risk to guide treatment decisions. We developed and validated 2 predictive scores for complications after endovascular treatment (EVT) or neurosurgical treatment (NT) of UIA using routinely collected clinical and aneurysmal features. METHODS: We conducted a multicenter retrospective study including patients with UIA treated with EVT or NT across 15 neurovascular centers (2014-2024). Predictive models were built using multivariable logistic regression, with variables derived from Delphi consensus. The primary outcome was a composite safety end point: new neurological deficits, modified Rankin Scale (mRS) worsening (≥1 point or mRS 2-5 within 30 days), or procedural death. Internal validation used bootstrapping, and external validation was performed temporally and institutionally. Model performance was assessed using area under the receiver operating characteristic curve (AUROC) and calibration. Final scores, named Morbidity and Mortality Associated Risk in the Treatment of UIAs (MARTA)-EVT and MARTA-NT, were compared with existing models identified through systematic review. RESULTS: Among 2647 patients (1907 EVT and 740 NT), procedural complications occurred in 6.3% (EVT) and 12.8% (NT). Independent predictors included age, baseline mRS, aneurysm location, size, morphology, and procedural factors. MARTA-EVT (AUROC = 0.68, 95% CI = 0.57-0.78) and MARTA-NT (AUROC = 0.65, 95% CI = 0.54-0.77) showed moderate discrimination and good calibration. MARTA-EVT outperformed existing models; MARTA-NT performed similarly to SAFETEA. Predictive models are available open-source: https://martascoreapp.shinyapps.io/martascoreapp/. CONCLUSION: MARTA-EVT and MARTA-NT are validated tools for predicting procedural risks in UIA treatment and may support patient counseling and clinical decision making.

373 Background: Recent studies have demonstrated encouraging outcomes with neoadjuvant ICIs in pts with localized deficient mismatch repair (dMMR) and/or microsatellite instability-high (MSI-H) GEC, prompting discussions around the feasibility of nonoperative management (NOM). However, current evidence is largely from phase 1 and 2 clinical trials with limited sample sizes. Thus, the efficacy and safety of neoadjuvant ICI in this pt population remain subject to ongoing debate. Methods: We conducted a systematic review and meta-analysis of prospective and retrospective studies evaluating neoadjuvant ICIs in pts with localized dMMR/MSI-H GEC according to the PRISMA guidelines. The primary outcomes were pathological complete response (pCR) and complete clinical response (cCR) rates. cCR was defined as no evidence of residual disease on tumor-specific imaging and on endoscopy with biopsy. Secondary outcomes included major pathologic response (MPR) rates and the incidence of grade 3–4 immune-related adverse events (irAEs). Proportions with 95% confidence intervals (CI) were used to pool event rates for occurrence of cCR, pCR, MPR and grade 3-4 irAEs. The DerSimonian and Laird random-effects model was used. NOM was assessed as part of the qualitative analysis. Results: 20 studies comprising 396 pts treated with neoadjuvant ICIs were included. Three studies utilized double ICI blockade (PD-1/ PD-L1 inhibitor plus CTLA-4 inhibitor), while the remaining studies primarily utilized monotherapy with a PD-1 inhibitor, with or without chemotherapy. Overall, 320 (81.0%) underwent surgical resection. The pooled pCR rate was 41.6% (95% CI, 33.1%–50.8%), cCR 63.8% (95% CI, 45.6%–78.8%), and MPR 64.2% (95% CI, 49.1%–76.9%). The pooled incidence of grade 3–4 irAEs was 5.1% (95% CI, 0.6%–12.2%). Subgroup analysis showed higher pCR with ≥3 months versus <3 months of ICI (50.2% [95% CI 42.2–58.3] vs 28.4% [18.9–40.2]; χ²=8.69, p=0.003). Forty-four pts were managed with NOM, two experienced early local regrowth over median follow-up ranging from 11.5 to 28 months. Conclusions: Neoadjuvant ICI therapy appears to be a safe and effective therapeutic strategy for pts with localized dMMR/MSI-H GEC. Neoadjuvant ICI exposure for ≥3 months seems to yield higher pCR rates than <3 months. The high and prolonged cCR rates support the nonoperative strategy in selected patients with dMMR/MSI-H GEC.