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Updated: Mar 21, 2026

Three-Dimensional Echocardiographic Method for the Visualization and Assessment of Specific Parameters of the Pulmonary Veins
Published on: October 28, 2020
Three-dimensional compared to two-dimensional transesophageal echocardiography for diagnosis of infective
Roman Pfister1, Yann Betton2, Henrik Ten Freyhaus2
1Department III of Internal Medicine, Heart Centre of the University of Cologne, Kerpenerstr. 62, 50937, Cologne, Germany. roman.pfister@uk-koeln.de.
Purpose:
Transesophageal echocardiography is crucial for the diagnosis of infective endocarditis (IE). Use of three-dimensional transesophageal echocardiography (3D-TEE) could improve the reliability of echocardiographic findings. This study sought to determine the value of 3D-TEE in the diagnosis of IE in comparison to two-dimensional (2D)-TEE and 2D transthoracic echocardiography (2D-TTE).
Methods:
In this prospective cohort study in a tertiary care university hospital 144 consecutive patients with clinically suspected IE were included. The patients were subjected to clinical, microbiological and echocardiographic evaluation (2D-TTE, 2D-TEE and 3D-TEE) and their clinical history evaluated retrospectively to establish a reference diagnosis of IE in accordance to current guideline recommendations.
Results:
In 48 (33 %) patients the diagnosis of IE was established. 2D-TEE and 3D-TEE showed a sensitivity, specificity, positive and negative predictive value for diagnosis of IE of 94 % and 63, 90 and 95 %, 82 and 86 % and 97 and 83 %, respectively, with similar results in patients with native and prosthetic valves. Vegetations and abscess were detected in 43 and 5 patients with final diagnosis of IE by any of the assessed echocardiographic modalities, with only one case of vegetation detected by 3D-TEE only and not by 2D-TEE.
Conclusions:
In this cohort of patients with suspected IE, 3D-TEE showed substantial lower sensitivity and negative predictive value for diagnosis of IE when compared to 2D-TEE. 3D-TEE might provide additive diagnostic information with impact on clinical decisions only in individual cases.
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