| Title |
Comparison of coronary sinus diameter Z-scores in normal fetuses and fetuses with persistent left superior vena cava (PLSVC)
|
|---|---|
| Published in |
The International Journal of Cardiovascular Imaging, August 2017
|
| DOI | 10.1007/s10554-017-1229-5 |
| Pubmed ID | |
| Authors |
Mingming Ma, Yan Tan, Ran Chen, Yankai Mao, Bei Wang, Bowen Zhao |
| Abstract |
To establish Z-score reference ranges for coronary sinus (CS) diameter in normal fetuses and explore the diagnostic value of CS Z-score in fetuses with persistent left superior vena cava (PLSVC). Study of 235 normal fetuses and 30 fetuses with PLSVC was involved. Noncardiac biometrical parameters included biparietal diameter (BPD), femoral length (FL), heart area (HA), gestation age (GA). The coronary sinus systolic and diastolic diameter (CSDs and CSDd ) were measured at the end of systole and diastole. CSDs and CSDd Z-score models were constructed by using linear regression analysis with Non-cardiac biometrical parameters as independent variables. Z-scores between normal fetuses and fetuses with PLSVC were compared. A simple, linear regression model was the best description and correlations between fetal CSDs and CSDd and four independent variables were excellent. Reference ranges for predicting means and SDs of the fetal CS were established. Equations for Z-score calculation were provided, CSDs and CSDd Z-scores were statistically different between normal fetuses and those with PLSVC. Development of CSDs and CSDd Z-score reference ranges in normal fetuses was realized. The CSDs and CSDd Z-scores can provide quantitative evidence in prenatal diagnosis of PLSVC. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Professor | 2 | 11% |
| Student > Postgraduate | 2 | 11% |
| Student > Master | 2 | 11% |
| Student > Ph. D. Student | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 5 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 56% |
| Computer Science | 1 | 6% |
| Physics and Astronomy | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Unknown | 5 | 28% |
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 17 August 2017.
All research outputs
#19,951,180
of 25,382,440 outputs
Outputs from The International Journal of Cardiovascular Imaging
#1,116
of 2,012 outputs
Outputs of similar age
#238,018
of 327,198 outputs
Outputs of similar age from The International Journal of Cardiovascular Imaging
#19
of 41 outputs
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