Literature DB >> 26937711

CT Angiography of the Aorta: Prospective Evaluation of Individualized Low-Volume Contrast Media Protocols.

Kai Higashigaito1, Tabea Schmid1, Gilbert Puippe1, Fabian Morsbach1, Mario Lachat1, Burkhardt Seifert1, Thomas Pfammatter1, Hatem Alkadhi1, Daniela B Husarik1.   

Abstract

Purpose To prospectively develop individualized low-volume contrast media (CM) protocols adapted to tube voltage in patients undergoing computed tomographic (CT) angiography of the aorta. Materials and Methods The study was approved by the institutional review board and local ethics committee. All patients provided written informed consent. CT angiography was performed by using automated attenuation-based tube voltage selection (ATVS) (range, 70-150 kVp; 10-kVp increments). Iodine attenuation curves from an ex vivo experiment in a phantom were used to design CM protocols for CT angiography of the thoracoabdominal aorta in 129 consecutive patients (hereafter, cohort A). Further modified CM protocols based on results in cohort A were designed with the aim of homogeneous vascular attenuation of 300-350 HU across tube voltages and were applied to another 61 consecutive patients (cohort B). Three independent blinded radiologists assessed subjective image quality, and one reader determined objective image quality. The Kruskal-Wallis test was performed to test for differences in subjective image quality, and linear regression was performed to test for differences in objective image quality between the automatically selected tube voltages. Results Experiments revealed tube voltage-dependent iodine attenuation curves, which were used to determine the CM protocols in cohort A; these ranged from 68 mL at 110 kVp to 45 mL at 80 kVp. In both cohorts, ATVS selected 80 kVp in 62 patients, 90 kVp in 84, 100 kVp in 33, and 110 kVp in 11. In cohort A, image quality that was satisfactory or better was attained in 126 (98%) of 129 patients who had no significant differences in subjective image quality between tube voltages (P = .106) but who did have significant differences in attenuation and contrast-to-noise ratio (CNR) (P < .001 for both). In cohort B, the further-modified CM protocol (from 33 mL at 80 kVp to 68 mL at 110 kVp) yielded image quality that was satisfactory or better in all 61 (100%) patients, without significant differences in subjective image quality (P = .178), and without significant differences between tube voltage and attenuation (P = .108), noise (P = .250), or CNR (P = .698). Conclusion Individualized low-volume CM protocols based on automatically selected tube voltages are feasible and yield diagnostic image quality for CT angiography of the aorta. (©) RSNA, 2016 Online supplemental material is available for this article.

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Year:  2016        PMID: 26937711     DOI: 10.1148/radiol.2016151982

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  14 in total

1.  Aortic CT angiography using the double region of interest timing bolus technique: feasibility of 80 kVp scanning in lean patients.

Authors:  Nobuo Tomizawa; Shingo Ito; Tastuya Nakao; Hiroaki Arakawa; Kodai Yamamoto; Shinichi Inoh; Takeshi Nojo; Sunao Nakamura
Journal:  Int J Cardiovasc Imaging       Date:  2019-07-02       Impact factor: 2.357

2.  Image quality and diagnostic value of ultra low-voltage, ultra low-contrast coronary CT angiography.

Authors:  Chong-Fu Jia; Jie Zhong; Xin-Yi Meng; Xi-Xia Sun; Zhi-Qiang Yang; Yu-Jie Zou; Xiang-Yue Wang; Shuang Pan; Da Yin; Zhao-Qian Wang
Journal:  Eur Radiol       Date:  2019-03-19       Impact factor: 5.315

3.  Head and neck angiography at 70 kVp with a third-generation dual-source CT system in patients: comparison with 100 kVp.

Authors:  Yu Chen; Xiaobo Zhang; Huadan Xue; Yuanli Zhu; Yun Wang; Yumei Li; Zhuhua Zhang; Zhengyu Jin
Journal:  Neuroradiology       Date:  2017-08-24       Impact factor: 2.804

4.  Proposal of a novel protocol using estimated cardiac index fractional dose to improve aortic contrast enhancement for early-phase dynamic CT.

Authors:  Tadashi Kuba; Akihiro Tokushige; Sadayuki Murayama; Shinichiro Ueda
Journal:  Medicine (Baltimore)       Date:  2022-06-24       Impact factor: 1.817

5.  Contrast media injection protocol optimization for dual-energy coronary CT angiography: results from a circulation phantom.

Authors:  Domenico De Santis; Damiano Caruso; U Joseph Schoepf; Marwen Eid; Moritz H Albrecht; Taylor M Duguay; Akos Varga-Szemes; Andrea Laghi; Carlo N De Cecco
Journal:  Eur Radiol       Date:  2018-02-27       Impact factor: 5.315

6.  Personalized administration of contrast medium with high delivery rate in low tube voltage coronary computed tomography angiography.

Authors:  Sock Keow Tan; Kwan Hoong Ng; Chai Hong Yeong; Raja Rizal Azman Raja Aman; Fadhli Mohamed Sani; Yang Faridah Abdul Aziz; Zhonghua Sun
Journal:  Quant Imaging Med Surg       Date:  2019-04

7.  Contrast agent dose reduction in computed tomography with deep learning using a conditional generative adversarial network.

Authors:  Johannes Haubold; René Hosch; Lale Umutlu; Axel Wetter; Patrizia Haubold; Alexander Radbruch; Michael Forsting; Felix Nensa; Sven Koitka
Journal:  Eur Radiol       Date:  2021-02-25       Impact factor: 5.315

8.  Comparison of transfemoral vs transbrachial approach for angioplastic reconstruction of chronic total aortoiliac occlusion.

Authors:  Sheshagiri Rao Damera; Ramachandra Barik; Akula Siva Prasad
Journal:  Indian Heart J       Date:  2016-05-09

Review 9.  Cinematic rendering - an alternative to volume rendering for 3D computed tomography imaging.

Authors:  Evelyn Dappa; Kai Higashigaito; Jürgen Fornaro; Sebastian Leschka; Simon Wildermuth; Hatem Alkadhi
Journal:  Insights Imaging       Date:  2016-09-15

10.  Application of multiple injections of contrast agent in head and neck CT arteriovenous angiography in children: Study protocol clinical trial (SPIRIT Compliant).

Authors:  Shilong Tang; Guanping Zhang; Zhuo Chen; Xianfan Liu; Xiao Fan; Daisong Liu; Ling He
Journal:  Medicine (Baltimore)       Date:  2020-04       Impact factor: 1.817

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