Cargando…
Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling
(1) Background: This study explored the optimal energy level in advanced virtual monoenergetic images (VMI+) from dual-energy computed tomography angiography (DE-CTA) for adrenal veins visualization before adrenal venous sampling (AVS). (2) Methods: Thirty-nine patients were included in this prospec...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037600/ https://www.ncbi.nlm.nih.gov/pubmed/36960999 http://dx.doi.org/10.3390/tomography9020040 |
_version_ | 1784911916776292352 |
---|---|
author | Wang, Yu Chen, Xiaohong Lu, Guoxiong Su, Yun Yang, Lingjie Shi, Guangzi Zhang, Fang Zhuo, Jiayi Duan, Xiaohui Hu, Huijun |
author_facet | Wang, Yu Chen, Xiaohong Lu, Guoxiong Su, Yun Yang, Lingjie Shi, Guangzi Zhang, Fang Zhuo, Jiayi Duan, Xiaohui Hu, Huijun |
author_sort | Wang, Yu |
collection | PubMed |
description | (1) Background: This study explored the optimal energy level in advanced virtual monoenergetic images (VMI+) from dual-energy computed tomography angiography (DE-CTA) for adrenal veins visualization before adrenal venous sampling (AVS). (2) Methods: Thirty-nine patients were included in this prospective single-center study. The CT value, noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured in both adrenal veins and abdominal solid organs and were then compared between VMI+ within the range of 40–80 kiloelectron volt (keV). The visualization rate of the adrenal veins and the overall image quality of solid organs were subjectively compared among different keV VMI+. The AVS success rate was recorded for 20 patients. (3) Results: For the adrenal veins, 40 keV VMI+ had the peak CT value, noise and CNR (p < 0.05). Subjectively, the visualization rate was the highest at 40 keV (100% for the right adrenal vein, and 97.4% for the left adrenal vein) (p < 0.05). For solid organs, the CT value, noise and CNR at 50 keV were lower than those at 40 keV (p < 0.05), but the SNR was similar between 40 keV and 50 keV. The overall subjective image quality of solid organs at 50 keV was the best (p < 0.05). The AVS success rate was 95%. (4) Conclusions: For VMI+, 40 keV was the preferential energy level to obtain a high visualization rate of the adrenal veins and a high success rate of AVS, while 50 keV was the favorable energy level for the depiction of abdominal organs. |
format | Online Article Text |
id | pubmed-10037600 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-100376002023-03-25 Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling Wang, Yu Chen, Xiaohong Lu, Guoxiong Su, Yun Yang, Lingjie Shi, Guangzi Zhang, Fang Zhuo, Jiayi Duan, Xiaohui Hu, Huijun Tomography Article (1) Background: This study explored the optimal energy level in advanced virtual monoenergetic images (VMI+) from dual-energy computed tomography angiography (DE-CTA) for adrenal veins visualization before adrenal venous sampling (AVS). (2) Methods: Thirty-nine patients were included in this prospective single-center study. The CT value, noise, signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) were measured in both adrenal veins and abdominal solid organs and were then compared between VMI+ within the range of 40–80 kiloelectron volt (keV). The visualization rate of the adrenal veins and the overall image quality of solid organs were subjectively compared among different keV VMI+. The AVS success rate was recorded for 20 patients. (3) Results: For the adrenal veins, 40 keV VMI+ had the peak CT value, noise and CNR (p < 0.05). Subjectively, the visualization rate was the highest at 40 keV (100% for the right adrenal vein, and 97.4% for the left adrenal vein) (p < 0.05). For solid organs, the CT value, noise and CNR at 50 keV were lower than those at 40 keV (p < 0.05), but the SNR was similar between 40 keV and 50 keV. The overall subjective image quality of solid organs at 50 keV was the best (p < 0.05). The AVS success rate was 95%. (4) Conclusions: For VMI+, 40 keV was the preferential energy level to obtain a high visualization rate of the adrenal veins and a high success rate of AVS, while 50 keV was the favorable energy level for the depiction of abdominal organs. MDPI 2023-02-23 /pmc/articles/PMC10037600/ /pubmed/36960999 http://dx.doi.org/10.3390/tomography9020040 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Wang, Yu Chen, Xiaohong Lu, Guoxiong Su, Yun Yang, Lingjie Shi, Guangzi Zhang, Fang Zhuo, Jiayi Duan, Xiaohui Hu, Huijun Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling |
title | Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling |
title_full | Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling |
title_fullStr | Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling |
title_full_unstemmed | Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling |
title_short | Improving the Visualization of the Adrenal Veins Using Virtual Monoenergetic Images from Dual-Energy Computed Tomography before Adrenal Venous Sampling |
title_sort | improving the visualization of the adrenal veins using virtual monoenergetic images from dual-energy computed tomography before adrenal venous sampling |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10037600/ https://www.ncbi.nlm.nih.gov/pubmed/36960999 http://dx.doi.org/10.3390/tomography9020040 |
work_keys_str_mv | AT wangyu improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT chenxiaohong improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT luguoxiong improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT suyun improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT yanglingjie improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT shiguangzi improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT zhangfang improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT zhuojiayi improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT duanxiaohui improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling AT huhuijun improvingthevisualizationoftheadrenalveinsusingvirtualmonoenergeticimagesfromdualenergycomputedtomographybeforeadrenalvenoussampling |