Relation between repolarization and refractoriness in the human ventricle: Cycle length dependence and effect of procainamide

The cycle length dependence of the action potential duration and the effective refractory period of the right ventricular endocardium were investigated in 24 patients undergoing electrophysiologic studies for suspected ventricular tachycardia. The action potential duration at 90% repolarization and the effective refractory period at twice diastolic threshold strength were measured at the same catheter site at steady state cycle lengths of 350 to 600 ms. Both measurements decreased linearly with decreasing cycle length, maintaining a parallel relation. When the relation between action potential duration and effective refractory period was expressed as the effective refractory period-action potential duration difference, nearly constant values (range −12 to −15 ms) were obtained at all cycle lengths.To determine whether sodium channel blocking drugs influence the effective refractory period-action potential duration relation in humans, measurements of these two variables were obtained in 15 patients before and during the infusion of procainamide. Procainamide prolonged the action potential duration at each cycle length by a near constant amount over baseline values (p < 0.001). Procainamide also increased the effective refractory period at each cycle length but with a greater incremental increase at the shorter cycle lengths. The rate-dependent increase in the effective refractory period-action potential duration difference became significant at cycle lengths ≤400 ms; at these high rates, the effective refractory period-action potential duration difference became positive (1.6 ms, p < 0.01 compared with baseline).Thus, in the human ventricle, the action potential duration and the effective refractory period have a close relation that remains fixed over a wide range of cycle lengths. The cycle length-dependent increase in the effective refractory period relative to action potential duration induced by procainamide is consistent with use dependency of sodium channel blocking drugs observed in vitro and may be a useful marker for measuring antiarrhythmic drug activity in vivo

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

A heart-team hybrid approach for atrial fibrillation: a single-centre long-term clinical outcome cohort study.

OBJECTIVES: The Cox-maze IV is the gold standard for surgical ablation of atrial fibrillation (AF). A heart-team hybrid approach using selected epicardial thoracoscopic surgical ablations and completion endocardial ablations to replicate the Cox-maze IV lesion set has gained popularity and early results have been promising. We herein report our single-centre long-term clinical outcomes using the heart-team hybrid approach with 455 patients. METHODS: From 1 March 2013 to 1 July 2019, we prospectively collected data on all patients referred to our heart team for rhythm-control strategy for AF. Baseline characteristics, procedural complications and long-term freedom from AF (FFAF) both on and off anti-arrhythmic drug therapy were analysed. Ambulatory monitoring (\u3e7 days) was obtained at 3 months and annually thereafter. RESULTS: Four hundred and fifty-five patients completed the hybrid approach. Four hundred and forty-five (97.8%) patients had non-paroxysmal AF (long-standing persistent AF n = 249, 54.7%; persistent AF n = 196, 43.1%; paroxysmal AF n = 10, 2.2%). Average duration of AF was 5.9 ± 6.1 years. Average left atrial diameter was 4.8 ± 0.8 cm. FFAF at 3, 12, 24 and 36 months was 92%, 87%, 81% and 72%, respectively. FFAF without the use of anti-arrhythmic medications was 75%, 81%, 76% and 66%. Any surgical complications occurred in 28 (6.1%) patients. CONCLUSIONS: A heart-team hybrid strategy for the treatment of AF is safe and effective. In a predominantly non-paroxysmal population with AF, at the 3-year follow-up, FFAF in patients on and off anti-arrhythmic drugs approaches that of patients who had the Cox-maze IV