| Title |
Extralobar pulmonary sequestration in neonates: The natural course and predictive factors associated with spontaneous regression
|
|---|---|
| Published in |
European Radiology, September 2016
|
| DOI | 10.1007/s00330-016-4594-x |
| Pubmed ID | |
| Authors |
Hee Mang Yoon, Ellen Ai-Rhan Kim, Sung-Hoon Chung, Seon-Ok Kim, Ah Young Jung, Young Ah Cho, Chong Hyun Yoon, Jin Seong Lee |
| Abstract |
To describe the natural course of extralobar pulmonary sequestration (EPS) and identify factors associated with spontaneous regression of EPS. We retrospectively searched for patients diagnosed with EPS on initial contrast CT scan within 1 month after birth and had a follow-up CT scan without treatment. Spontaneous regression of EPS was assessed by percentage decrease in volume (PDV) and percentage decrease in sum of the diameter of systemic feeding arteries (PDD) by comparing initial and follow-up CT scans. Clinical and CT features were analysed to determine factors associated with PDV and PDD rates. Fifty-one neonates were included. The cumulative proportions of patients reaching PDV > 50 % and PDD > 50 % were 93.0 % and 73.3 % at 4 years, respectively. Tissue attenuation was significantly associated with PDV rate (B = -21.78, P < .001). The tissue attenuation (B = -22.62, P = .001) and diameter of the largest systemic feeding arteries (B = -48.31, P = .011) were significant factors associated with PDD rate. The volume and diameter of systemic feeding arteries of EPS spontaneously decreased within 4 years without treatment. EPSs showing a low tissue attenuation and small diameter of the largest systemic feeding arteries on initial contrast-enhanced CT scans were likely to regress spontaneously. • Extralobar pulmonary sequestration (EPS) could show spontaneous regression. • Initial CT features may predict spontaneous regression of EPS. • The tissue attenuation and diameter of systemic feeding artery are important factors. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 4 | 25% |
| Professor > Associate Professor | 2 | 13% |
| Student > Master | 2 | 13% |
| Lecturer | 1 | 6% |
| Researcher | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 50% |
| Decision Sciences | 1 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 6% |
| Unknown | 6 | 38% |
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 10 January 2018.
All research outputs
#18,581,651
of 23,015,156 outputs
Outputs from European Radiology
#2,964
of 4,169 outputs
Outputs of similar age
#244,511
of 321,625 outputs
Outputs of similar age from European Radiology
#30
of 47 outputs
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