98%
921
2 minutes
20
Background: Catheter-based mitral valve clip repair (CBMCR) is feasible for selected patients with mitral regurgitation (MR). Two-dimensional (2D) transesophageal echocardiography (TEE) is the standard modality for evaluating MR and procedural guidance. Recently, real-time three-dimensional TEE became available. The aim of this study was to evaluate the value of combined 2D and three-dimensional TEE for CBMCR. In evaluating MR for CBMCR, the confidence of interpretation of 2D TEE was compared with that of combined imaging for the localization of major valve pathology. In patients who underwent CBMCR, the outcomes and the duration of CBMCR were compared.
Methods: In this retrospective study, MR evaluation was performed by 2D TEE alone and by combined imaging in 80 and 57 patients, respectively. CBMCR was guided by 2D TEE alone in 20 patients and by combined imaging in 39 patients.
Results: Examination by combined imaging allowed en face visualization of mitral valve anatomy and MR jet origin. The confidence of interpretation by combined imaging was higher than for 2D TEE (1.1 ± 0.3 vs 1.8 ± 0.7, P < .001).The guidance of CBMCR by combined imaging facilitated alignment of the catheter trajectory, clip positioning, and orientation of clip arms. The procedural success and final MR grade were not different between the two study groups. However, the procedural time of CBMCR using combined imaging compared with that using 2D TEE guidance alone was shorter (241 ± 58 vs 201 ± 68 min, P = .035).
Conclusions: The use of combined imaging compared with 2D TEE alone appears to enhance the confidence of interpretation concerning mitral pathology and catheter-clip system location and may also reduce CBMCR time.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.echo.2011.02.005 | DOI Listing |
Retina
September 2025
From the Vitreous, Retina, Macula Consultants of New York, New York, NY.
Purpose: To reassess the anatomic basis of optic disc pit maculopathy (OPM) using swept-source optical coherence tomography (SS-OCT) and to characterize the broader structural abnormalities comprising the optic pit complex.
Methods: Sixteen patients with OPM were imaged using a high-resolution SS-OCT system (DREAM OCT). Cross-sectional and volume-rendered scans were analyzed for lamina cribrosa defects, intraneural cavitations, and pathways for fluid entry into or beneath the retina.
Eur Heart J Cardiovasc Imaging
September 2025
Department of Diagnostic and Interventional Radiology, University Hospital Bonn, Venusberg-Campus 1, 53127, Bonn, Germany.
Aims: Fetal circulation undergoes complex changes in congenital heart disease (CHD) that are challenging to assess with fetal echocardiography. This study aimed to assess clinical feasibility and diagnostic value of 4D flow cardiac magnetic resonance (CMR) in fetal CHD.
Methods And Results: Pregnant women in advanced third trimester pregnancy with fetal CHD were prospectively recruited for fetal CMR between 08/2021 and 11/2024.
Eur J Endocrinol
September 2025
Division of Endocrinology, Diabetes, Metabolism and Nutrition, Mayo Clinic, Rochester, Minnesota, 55905.
Objective: Identify social/metabolic risk factors associated with subsequent diagnosis of adrenal adenoma.
Design: Population-based historical case-control study.
Methods: Cases were adult patients diagnosed with an adrenal adenoma between 2005-2017 with no overt hormone excess.
PLoS One
September 2025
Department of Radiation Oncology, Yonsei Cancer Center, Heavy Ion Therapy Research Institute, Yonsei University College of Medicine, Seoul, Korea.
Volumetric modulated arc therapy (VMAT) for lung cancer involves complex multileaf collimator (MLC) motion, which increases sensitivity to interplay effects with tumour motion. Current dynamic conformal arc methods address this issue but may limit the achievable dose distribution optimisation compared with standard VMAT. This study examined the clinical utility of a VMAT technique with monitor unit limits (VMATliMU) to mimic conformal arc delivery and reduce interplay effects while maintaining plan quality.
View Article and Find Full Text PDFIEEE Trans Med Imaging
September 2025
Mammography is a primary method for early screening, and developing deep learning-based computer-aided systems is of great significance. However, current deep learning models typically treat each image as an independent entity for diagnosis, rather than integrating images from multiple views to diagnose the patient. These methods do not fully consider and address the complex interactions between different views, resulting in poor diagnostic performance and interpretability.
View Article and Find Full Text PDF