| Title |
Comparison of C-arm computed tomography and on-site quick cortisol assay for adrenal venous sampling: A retrospective study of 178 patients
|
|---|---|
| Published in |
European Radiology, July 2017
|
| DOI | 10.1007/s00330-017-4930-9 |
| Pubmed ID | |
| Authors |
Chin-Chen Chang, Bo-Ching Lee, Yeun-Chung Chang, Vin-Cent Wu, Kuo-How Huang, Kao-Lang Liu, on behalf of the TAIPAI Study Group |
| Abstract |
To compare the performance of on-site quick cortisol assay (QCA) and C-arm computed tomography (CT) assistance on adrenal venous sampling (AVS) without adrenocorticotropic hormone stimulation. The institutional review board at our hospital approved this retrospective study, which included 178 consecutive patients with primary aldosteronism. During AVS, we used C-arm CT to confirm right adrenal cannulation between May 2012 and June 2015 (n = 100) and QCA for bilateral adrenal cannulation between July 2015 and September 2016 (n = 78). Successful AVS required a selectivity index (cortisoladrenal vein/cortisolperipheral) of ≥ 2.0 bilaterally. The overall success rate of C-arm CT-assisted AVS was 87%, which increased to 97.4% under QCA (P = .013). The procedure time (C-arm CT, 49.5 ± 21.3 min; QCA, 37.5 ± 15.6 min; P < .001) and radiation dose (C-arm CT, 673.9 ± 613.8 mGy; QCA, 346.4 ± 387.8 mGy; P < .001) were also improved. The resampling rate was 16% and 21.8% for C-arm CT and QCA, respectively. The initial success rate of the performing radiologist remained stable during the study period (C-arm CT 75%; QCA, 82.1%, P = .259). QCA might be superior to C-arm CT for improving the performance of AVS. • Adrenal venous sampling (AVS) is a technically challenging procedure. • C-arm CT and quick cortisol assay (QCA) are efficient for assisting AVS. • QCA might outperform C-arm CT in enhancing AVS performance. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 3 | 21% |
| Other | 2 | 14% |
| Student > Master | 2 | 14% |
| Lecturer | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 4 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 29% |
| Nursing and Health Professions | 2 | 14% |
| Engineering | 2 | 14% |
| Computer Science | 1 | 7% |
| Unspecified | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 4 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 16 March 2018.
All research outputs
#14,969,772
of 23,028,364 outputs
Outputs from European Radiology
#2,333
of 4,172 outputs
Outputs of similar age
#186,802
of 313,642 outputs
Outputs of similar age from European Radiology
#32
of 60 outputs
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