2026 focsused update incorporated into the Japanese society of echocardiography 2023 practice guidance for the implementation of stress echocardiography "stress echocardiography using the Valsalva maneuver" [0.03%]
2026年Focused Update在2023日本心超声学会应力心超声实践指南的“Valsalva操应力心超声”实施中的应用
Yutaka Hirano,Hiroyuki Iwano,Takahiro Ohara;Guideline Committee of the Japanese Society of Echocardiography
Yutaka Hirano
In 2023, Based on the continued evidence of stress echocardiography, the new practical guideline that describes the safe and effective methodology of stress echocardiography is now created by Guideline Committee of the Japanese Society of E...
Aortic valve area determination by planimetry: comparison of two-dimensional and three-dimensional transesophageal echocardiography - a systematic review and meta-analysis [0.03%]
二维和三维经食道超声心动图测量主动脉瓣口面积的系统评价及meta分析
Paula Fazendas,Daniel Caldeira,Helder Pereira et al.
Paula Fazendas et al.
Introduction: Accurate quantification of aortic valve area (AVA) is essential in the evaluation of aortic stenosis (AS) severity. While two-dimensional (2D) Transesophageal echocardiography (TEE) is widely used for AVA pl...
Explainable machine learning for estimation of elevated left ventricular filling pressure: a multicenter validation [0.03%]
多中心验证的左心室充盈压估计的可解释机器学习方法
Yutaka Nakamura,Nobuyuki Kagiyama,Sirish Shrestha et al.
Yutaka Nakamura et al.
Background: Guideline-recommended algorithms (GL-algorithm) often results in indeterminate left ventricular filling pressure (LVFP). Despite high accuracy, machine learning (ML) methods lack interpretability, which necess...
A case of a giant left atrial myxoma with mitral regurgitation resulting in heart failure and improved left atrial remodeling after surgery [0.03%]
巨大左心房黏液瘤合并二尖瓣反流致心力衰竭的病例术后左心房重塑改善
Satoshi Hayashida,Yusuke Sasa,Eizo Tachibana et al.
Satoshi Hayashida et al.
Mateusz Regulski,Łukasz Zarębski,Grzegorz Kamiński et al.
Mateusz Regulski et al.
Validation of a fully automated workflow for longitudinal strain using artificial intelligence [0.03%]
基于人工智能的纵向应变变化全自动工作流的验证研究
Yuka Nomura,Yukina Hirata,Yoshihito Saijo et al.
Yuka Nomura et al.
Background: Manual interpretation of echocardiographic data for strain analysis is time-consuming and prone to inter-observer variability. With the advent of artificial intelligence (AI), its potential to streamline echoc...
Remote blunt chest trauma as a cause of right ventricular deformity: multimodality evaluation [0.03%]
远程性胸部钝挫伤所致右心室畸形的多模态评价
Miho Fujita,Ayumi Omuro,Yuki Nakata et al.
Miho Fujita et al.
Left atrial stiffness as a predictor of one-year mortality after transcatheter aortic valve replacement [0.03%]
经导管主动脉瓣置换术后一年死亡率的左心房僵硬度预测模型
Aranna Wicheantawatchai,Chalermchai Komaenthammasophon,Kullaya Takkavatakarn et al.
Aranna Wicheantawatchai et al.
Background: In patients with aortic stenosis (AS), risk stratification for valve intervention is primarily based on valve severity, symptom burden, and left ventricular (LV) function. However, cardiac damage may extend be...
Practical guidance for echocardiography for cancer therapy-related cardiac dysfunction: 2026 focused update [0.03%]
癌症治疗相关心脏毒性的超声心动图实践指南：2026年更新要点
Hidekazu Tanaka,Yuko Fukuda,Hirotsugu Yamada et al.
Hidekazu Tanaka et al.
Background: Cancer therapy-related cardiac dysfunction (CTRCD) has become an important clinical issue with advances in cancer treatment and improved patient survival. The Japanese Society of Echocardiography previously pu...
Apparent downward shift of prosthetic aortic valve due to progressive aortic root elongation toward the left ventricle in a Takayasu arteritis patient [0.03%]
Takayasu动脉炎患者由于主动脉根部向左心室方向延长导致的人工主动脉瓣膜位置表观向下移位
Kazuki Yoshida,Hiroyuki Takaoka,Haruka Sasaki et al.
Kazuki Yoshida et al.