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Mitral valve analysis adding a virtual semi-transparent annulus plane for detection of prolapsing segments

Overview of attention for article published in Cardiovascular Ultrasound, May 2015
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Title
Mitral valve analysis adding a virtual semi-transparent annulus plane for detection of prolapsing segments
Published in
Cardiovascular Ultrasound, May 2015
DOI 10.1186/s12947-015-0019-2
Pubmed ID
Authors

Karl-Andreas Dumont, Jørn Skaarud Karlsen, Thomas Helle-Valle, Arnt Eltvedt Fiane, Runar Lundblad, Stig Urheim

Abstract

We hypothesized that a novel three-dimensional virtual semi-transparent annulus plane (3D VSAP) presented on a holographic screen can be used to visualize the prolapsing tissue in degenerative mitral valve disease and furthermore, provide us with geometrical data of the mitral valve apparatus. Phantom and patient studies were designed to demonstrate the feasibility of creating a semi-automatic, semi-transparent mitral annulus plane visualized on a holographic display. Ten pipe cleaners mimicking the mitral annulus with different shapes and three types of annuloplasty rings served as phantoms. We obtained 3D transoesophageal examination of the phantoms in a special designed box filled with water. Recordings were converted to the holographic display and a 3D VSAP was created. The ratio of the major and minor axes as well as the non-planar angles were calculated and compared with direct measures of the phantoms. Forty patients with degenerative mitral valve disease were then analyzed with 3D transthoracic echocardiography (TTE) and a 3D VSAP was created on the holographic display. A total of 240 segments were analyzed by two independent observers, one echo expert (observer I), and the other novice with limited echo experience (observer II). The two observers created the 3D VSAP in each patient before suggesting the valve pathology. The major/minor axes ratio and non-planar angles by 3D VSAP correlated with direct measurements by r = 0.65, p < 0.02 and r = 0.99, p < 0.0001, respectively. The sensitivity and specificity of the 3D VSAP method in patients was 81 and 97 %, respectively (observer I) and for observer II 77 and 96 %, respectively. The accuracy and precisions were 93.9 and 89.4 %, respectively (observer I), 92.3 and 85.1 % (observer II). Mitral valve analysis adding a 3D VSAP was feasible with high accuracy and precision, providing a quick and less subjective method for diagnosing mitral valve prolapse. This novel method may improve preoperative diagnostics and may relieve a better understanding of the pathophysiology of mitral valve disease. Thus, based on the specific findings in each patient, a tailored surgical repair can be planned and hopefully enhance long-term repair patency in the future.

Twitter Demographics

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Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 4 20%
Student > Master 3 15%
Other 2 10%
Student > Ph. D. Student 2 10%
Student > Postgraduate 2 10%
Other 2 10%
Unknown 5 25%
Readers by discipline Count As %
Medicine and Dentistry 7 35%
Nursing and Health Professions 2 10%
Engineering 2 10%
Agricultural and Biological Sciences 1 5%
Business, Management and Accounting 1 5%
Other 0 0%
Unknown 7 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 28 May 2015.
All research outputs
#2,726,113
of 5,160,020 outputs
Outputs from Cardiovascular Ultrasound
#97
of 164 outputs
Outputs of similar age
#97,948
of 172,140 outputs
Outputs of similar age from Cardiovascular Ultrasound
#13
of 13 outputs
Altmetric has tracked 5,160,020 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 164 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 172,140 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.