Emmanuelle Gentil, Quentin de Roux, Solène Ribot, Lucien Lapeyre, Victor PalombI, Alain Luciani, Christophe Quesnel, Vania Tacher, Nicolas Mongardon
{"title":"Computed tomography image quality with high-flow contrast via high-pressure central venous catheter in critically ill patients","authors":"Emmanuelle Gentil, Quentin de Roux, Solène Ribot, Lucien Lapeyre, Victor PalombI, Alain Luciani, Christophe Quesnel, Vania Tacher, Nicolas Mongardon","doi":"10.1186/s13054-025-05673-4","DOIUrl":null,"url":null,"abstract":"<p>Dear Editor,</p><p>Contrast-enhanced computed tomography (CECT) is a key diagnostic procedure in critically ill patients, in whom contrast media (CM) is injected most of the time through central venous catheter (CVC). The quality of contrast enhancement relies on patient-dependent (cardiac output, weight and size) or patient-independent (technology of CT-scan, type of catheter, site of injection, CM volume, and injection rate) factors [1]. Injection rate is a crucial parameter of contrast enhancement, but is limited by the intrinsic quality of the venous access, with risks of displacement, ballooning, rupture and contrast extravasation in case of high-pressure (HP) or high-flow rate [2]. While standard CVC allow injection rate up to 5 mL/sec, manufacturers do not recommend to use them for pressure injection [3]. Thus, CVCs allowing higher pressures and flow rates have been recently designed [4]. This could improve the image quality of CECT, or reduce CM volume for similar quality, thereby reducing the risk of contrast-induced acute kidney injury and minimizing environmental impact. However, the interest of CM injection at high-flow through HP CVC has never been investigated. Here we report on the objective image quality of CECT images obtained with CM injected at high-flow rate through HP CVC versus standard flow rates through standard CVC. All critically ill adult patients with superior vena cava CVC requiring thoracic and/or abdominal CECT were analyzed. Before September 2023 (retrospective/before period), standard CVC were used (references: CV-12703, CV-15703, CV-12854, CV-15854, Arrow<sup>®</sup>/Teleflex<sup>®</sup>). After September 2023 (prospective/after period), HP CVC were used (references: EU-42854-HPS, EU-45854-HPS, Arrow<sup>®</sup>/Teleflex<sup>®</sup>). Patients on ECMO or requiring isolated head CT-scan were excluded. Except flow rate, all CT-scans with CM injection were performed according to the same protocol. CM injection was performed with the device Bracco Injeneering SA<sup>®</sup> (650197 CT Expres™ - Control Panel). Monoergenetic CT acquisitions were performed with CT device (Revolution CT Apex Elite, General Electric Medical Systems<sup>®</sup>). The injection sequence was 10 mL of isotonic saline, CM injection with volume set at 1 mL/kg, and purge of 20 mL of isotonic saline at the same flow rate. In the standard CVC group, the flow rate was set of 3.5 mL/s, with injection through the 16-gauge distal lumen; in the HP CVC group, the flow rate was set at 10 mL/s, with injection through the dedicated 14-gauge medial lumen. Image quality was assessed based on combination of aortic and liver Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) at arterial and portal time at the level of coeliac trunk in aorta and in liver, with blind analysis by a senior radiologist. Briefly, the SNR quantifies the strength of a signal relative to the background noise. It is calculated by dividing the mean signal intensity by the standard deviation of the noise in a round region of interest of 3cm<sup>2</sup>. A higher SNR indicates a clearer and more distinct signal [5]. The CNR measures the contrast between the signal of interest and the background, relative to the noise. It is determined by dividing the difference in signal intensity between a 3cm<sup>2</sup> round region of interest and a reference region, such as muscle, by the standard deviation of the noise. In this study, noise was air. A higher CNR indicates a better contrast [5]. During the two periods, a total of 75 patients were included: 56 patients had 67 CECT with standard CVC and 19 patients had 31 CECT with HP CVC. Table 1 displays main characteristics of patients, factors influencing cardiac output, and CECT. There was no clinically relevant difference between the groups. Flow rate was significantly higher in the HP CVC group, with a median flow rate of 7.7 mL/s [7- 8.3] compared to 3.5 mL/s in the standard CVC group (<i>p</i> < 0.001). Volume of CM or iodine dose normalized to body weight were similar. However, there were no significant differences in aortic and liver SNR and CNR measurements during the arterial and portal phases. This preliminary report, as the first series evaluating the image quality of CECT with high-flow CM injection via HP CVCs to enhance, deserves some limitations. Firstly, the theoretical flow rate of 10 ml/s was not achieved, with an effective median flow rate of 7.7 mL/s. Possible explanations are limits of calibration of the power injector, or changes in the CM viscosity, which depends on the ambient room temperature which could have varied over time. Secondly, we estimated a flow rate of 3.5 mL/s in the standard CVC group because this information could not be retrieved retrospectively. However, the exact flow rates remain unknown in both groups. Finally, the delay between CM injection and image acquisition was unchanged whatever the CM injection flow rate, but acquisition timing might be adjusted accordingly [1]. To conclude, in this series focusing on critically ill patients, the use of HP CVC allowed high-flow injection of CM without any adverse events. However, this strategy was not associated with improved objective image quality. Further studies are needed in specific populations, particularly those with cardiac output modifications in whom CECT quality is often reduced (such as patients on ECMO, with sickle cell disease, or pregnancy), or indications (research of pulmonary embolism or CT coronary angiogram).</p><figure><figcaption><b data-test=\"table-caption\">Table 1 Baseline characteristics</b></figcaption><span>Full size table</span><svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure><p>Data are available on reasonable request to the corresponding author.</p><dl><dt style=\"min-width:50px;\"><dfn>CECT:</dfn></dt><dd>\n<p>Contrast-enhanced computed tomography</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CM:</dfn></dt><dd>\n<p>Contrast media</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CNR:</dfn></dt><dd>\n<p>Contrast-to-noise ratio</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CT:</dfn></dt><dd>\n<p>Computed tomography</p>\n</dd><dt style=\"min-width:50px;\"><dfn>CVC:</dfn></dt><dd>\n<p>Central venous catheter</p>\n</dd><dt style=\"min-width:50px;\"><dfn>ECMO:</dfn></dt><dd>\n<p>ExtraCorporeal Membrane Oxygenation</p>\n</dd><dt style=\"min-width:50px;\"><dfn>HP:</dfn></dt><dd>\n<p>High-pressure</p>\n</dd><dt style=\"min-width:50px;\"><dfn>ICU:</dfn></dt><dd>\n<p>Intensive care unit</p>\n</dd><dt style=\"min-width:50px;\"><dfn>SNR:</dfn></dt><dd>\n<p>Signal-to-noise ratio</p>\n</dd></dl><ol data-track-component=\"outbound reference\" data-track-context=\"references section\"><li data-counter=\"1.\"><p>Bae KT. Intravenous contrast medium administration and scan timing at CT: considerations and approaches. Radiology. 2010;256(1):32–61.</p><p>PubMed Google Scholar </p></li><li data-counter=\"2.\"><p>Buijs SB. Systematic review of the safety and efficacy of contrast injection via venous catheters for contrast-enhanced computed tomography. Eur J Radiol Open. 2017;4:118–22.</p><p>CAS PubMed PubMed Central Google Scholar </p></li><li data-counter=\"3.\"><p>Plumb Aa, Murphy O. The use of central venous catheters for intravenous contrast injection for CT examinations. Br J Radiol. 2011;84(999):197–203.</p><p>CAS PubMed PubMed Central Google Scholar </p></li><li data-counter=\"4.\"><p>Arrow T. EU-42854-HPS 4-lumen HP CVC user manual [Internet]. Available from: https://www.teleflexvascular.com/products/eu-42854-hps. Accessed 31 Aug 2025.</p></li><li data-counter=\"5.\"><p>Bastos A deL, Nogueira MdoS. Image quality in diagnostic radiology: a guide to methodologies for radiologists. Radiol Bras. 2025;58:e20240088.</p><p>PubMed PubMed Central Google Scholar </p></li></ol><p>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><p>Not applicable.</p><p>The authors received no financial support for the study or publication. Teleflex provided the high pressure central venous catheters for the “after period” study at no charge. However, the company was not involved in the protocol development, data collection, analysis and had no access to data. Interpretation and manuscript writing were performed only by the authors.</p><h3>Authors and Affiliations</h3><ol><li><p>Service d’anesthésie-réanimation et médecine péri-opératoire, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, F-94010, France</p><p>Emmanuelle Gentil, Quentin de Roux, Solène Ribot, Lucien Lapeyre, Victor PalombI, Christophe Quesnel & Nicolas Mongardon</p></li><li><p>Service d’imagerie médicale, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, F-94010, France</p><p>Alain Luciani & Vania Tacher</p></li><li><p>Univ Paris Est Créteil, INSERM, IMRB, Créteil, F-94010, France</p><p>Quentin de Roux & Nicolas Mongardon</p></li><li><p>Ecole Nationale Vétérinaire d’Alfort, IMRB, Maisons-Alfort, F-94700, France</p><p>Quentin de Roux & Nicolas Mongardon</p></li><li><p>Faculté de Santé, Université Paris Est Créteil, Créteil, F-94010, France</p><p>Quentin de Roux, Alain Luciani, Christophe Quesnel, Vania Tacher & Nicolas Mongardon</p></li><li><p>GRCT OPTIMA, Université Paris Est Créteil, Créteil, F-94010, France</p><p>Quentin de Roux, Christophe Quesnel & Nicolas Mongardon</p></li></ol><span>Authors</span><ol><li><span>Emmanuelle Gentil</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Quentin de Roux</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Solène Ribot</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Lucien Lapeyre</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Victor PalombI</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Alain Luciani</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Christophe Quesnel</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Vania Tacher</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li><li><span>Nicolas Mongardon</span>View author publications<p><span>Search author on:</span><span>PubMed<span> </span>Google Scholar</span></p></li></ol><h3>Contributions</h3><p>EG, VT and NM designed the study and wrote the manuscript. EG, QDR, LL, VP, VT and NM collected study data. EG, VT and NM performed the statistical analysis. All authors participated in writing and revising the manuscript. All authors read and approved the final manuscript.</p><h3>Corresponding author</h3><p>Correspondence to Nicolas Mongardon.</p><h3>Ethics approval and consent to participate</h3>\n<p>Patients were informed of the anonymous data extraction and analysis from medical charts. This study was approved by the Comité d’Ethique pour la Recherche en Anesthésie-Réanimation (CERAR, IRB 00010254-2023-117).</p>\n<h3>Consent for publication</h3>\n<p>All authors have given their consents for publication.</p>\n<h3>Competing interests</h3>\n<p>NM serves as a consultant for AOP Health and Baxter. The other authors have not disclosedany potential competing interests.</p><h3>Publisher’s note</h3><p>Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.</p><p><b>Open Access</b> This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.</p>\n<p>Reprints and permissions</p><img alt=\"Check for updates. 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tomography image quality with high-flow contrast via high-pressure central venous catheter in critically ill patients. <i>Crit Care</i> <b>29</b>, 433 (2025). https://doi.org/10.1186/s13054-025-05673-4</p><p>Download citation<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></p><ul data-test=\"publication-history\"><li><p>Received<span>: </span><span><time datetime=\"2025-08-31\">31 August 2025</time></span></p></li><li><p>Accepted<span>: </span><span><time datetime=\"2025-09-18\">18 September 2025</time></span></p></li><li><p>Published<span>: </span><span><time datetime=\"2025-10-14\">14 October 2025</time></span></p></li><li><p>DOI</abbr><span>: </span><span>https://doi.org/10.1186/s13054-025-05673-4</span></p></li></ul><h3>Share this article</h3><p>Anyone you share the following link with will be able to read this content:</p><button 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Abstract
Dear Editor,
Contrast-enhanced computed tomography (CECT) is a key diagnostic procedure in critically ill patients, in whom contrast media (CM) is injected most of the time through central venous catheter (CVC). The quality of contrast enhancement relies on patient-dependent (cardiac output, weight and size) or patient-independent (technology of CT-scan, type of catheter, site of injection, CM volume, and injection rate) factors [1]. Injection rate is a crucial parameter of contrast enhancement, but is limited by the intrinsic quality of the venous access, with risks of displacement, ballooning, rupture and contrast extravasation in case of high-pressure (HP) or high-flow rate [2]. While standard CVC allow injection rate up to 5 mL/sec, manufacturers do not recommend to use them for pressure injection [3]. Thus, CVCs allowing higher pressures and flow rates have been recently designed [4]. This could improve the image quality of CECT, or reduce CM volume for similar quality, thereby reducing the risk of contrast-induced acute kidney injury and minimizing environmental impact. However, the interest of CM injection at high-flow through HP CVC has never been investigated. Here we report on the objective image quality of CECT images obtained with CM injected at high-flow rate through HP CVC versus standard flow rates through standard CVC. All critically ill adult patients with superior vena cava CVC requiring thoracic and/or abdominal CECT were analyzed. Before September 2023 (retrospective/before period), standard CVC were used (references: CV-12703, CV-15703, CV-12854, CV-15854, Arrow®/Teleflex®). After September 2023 (prospective/after period), HP CVC were used (references: EU-42854-HPS, EU-45854-HPS, Arrow®/Teleflex®). Patients on ECMO or requiring isolated head CT-scan were excluded. Except flow rate, all CT-scans with CM injection were performed according to the same protocol. CM injection was performed with the device Bracco Injeneering SA® (650197 CT Expres™ - Control Panel). Monoergenetic CT acquisitions were performed with CT device (Revolution CT Apex Elite, General Electric Medical Systems®). The injection sequence was 10 mL of isotonic saline, CM injection with volume set at 1 mL/kg, and purge of 20 mL of isotonic saline at the same flow rate. In the standard CVC group, the flow rate was set of 3.5 mL/s, with injection through the 16-gauge distal lumen; in the HP CVC group, the flow rate was set at 10 mL/s, with injection through the dedicated 14-gauge medial lumen. Image quality was assessed based on combination of aortic and liver Signal-to-Noise Ratio (SNR) and Contrast-to-Noise Ratio (CNR) at arterial and portal time at the level of coeliac trunk in aorta and in liver, with blind analysis by a senior radiologist. Briefly, the SNR quantifies the strength of a signal relative to the background noise. It is calculated by dividing the mean signal intensity by the standard deviation of the noise in a round region of interest of 3cm2. A higher SNR indicates a clearer and more distinct signal [5]. The CNR measures the contrast between the signal of interest and the background, relative to the noise. It is determined by dividing the difference in signal intensity between a 3cm2 round region of interest and a reference region, such as muscle, by the standard deviation of the noise. In this study, noise was air. A higher CNR indicates a better contrast [5]. During the two periods, a total of 75 patients were included: 56 patients had 67 CECT with standard CVC and 19 patients had 31 CECT with HP CVC. Table 1 displays main characteristics of patients, factors influencing cardiac output, and CECT. There was no clinically relevant difference between the groups. Flow rate was significantly higher in the HP CVC group, with a median flow rate of 7.7 mL/s [7- 8.3] compared to 3.5 mL/s in the standard CVC group (p < 0.001). Volume of CM or iodine dose normalized to body weight were similar. However, there were no significant differences in aortic and liver SNR and CNR measurements during the arterial and portal phases. This preliminary report, as the first series evaluating the image quality of CECT with high-flow CM injection via HP CVCs to enhance, deserves some limitations. Firstly, the theoretical flow rate of 10 ml/s was not achieved, with an effective median flow rate of 7.7 mL/s. Possible explanations are limits of calibration of the power injector, or changes in the CM viscosity, which depends on the ambient room temperature which could have varied over time. Secondly, we estimated a flow rate of 3.5 mL/s in the standard CVC group because this information could not be retrieved retrospectively. However, the exact flow rates remain unknown in both groups. Finally, the delay between CM injection and image acquisition was unchanged whatever the CM injection flow rate, but acquisition timing might be adjusted accordingly [1]. To conclude, in this series focusing on critically ill patients, the use of HP CVC allowed high-flow injection of CM without any adverse events. However, this strategy was not associated with improved objective image quality. Further studies are needed in specific populations, particularly those with cardiac output modifications in whom CECT quality is often reduced (such as patients on ECMO, with sickle cell disease, or pregnancy), or indications (research of pulmonary embolism or CT coronary angiogram).
Table 1 Baseline characteristicsFull size table
Data are available on reasonable request to the corresponding author.
CECT:
Contrast-enhanced computed tomography
CM:
Contrast media
CNR:
Contrast-to-noise ratio
CT:
Computed tomography
CVC:
Central venous catheter
ECMO:
ExtraCorporeal Membrane Oxygenation
HP:
High-pressure
ICU:
Intensive care unit
SNR:
Signal-to-noise ratio
Bae KT. Intravenous contrast medium administration and scan timing at CT: considerations and approaches. Radiology. 2010;256(1):32–61.
PubMed Google Scholar
Buijs SB. Systematic review of the safety and efficacy of contrast injection via venous catheters for contrast-enhanced computed tomography. Eur J Radiol Open. 2017;4:118–22.
CAS PubMed PubMed Central Google Scholar
Plumb Aa, Murphy O. The use of central venous catheters for intravenous contrast injection for CT examinations. Br J Radiol. 2011;84(999):197–203.
CAS PubMed PubMed Central Google Scholar
Arrow T. EU-42854-HPS 4-lumen HP CVC user manual [Internet]. Available from: https://www.teleflexvascular.com/products/eu-42854-hps. Accessed 31 Aug 2025.
Bastos A deL, Nogueira MdoS. Image quality in diagnostic radiology: a guide to methodologies for radiologists. Radiol Bras. 2025;58:e20240088.
PubMed PubMed Central Google Scholar
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The authors received no financial support for the study or publication. Teleflex provided the high pressure central venous catheters for the “after period” study at no charge. However, the company was not involved in the protocol development, data collection, analysis and had no access to data. Interpretation and manuscript writing were performed only by the authors.
Authors and Affiliations
Service d’anesthésie-réanimation et médecine péri-opératoire, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, F-94010, France
Emmanuelle Gentil, Quentin de Roux, Solène Ribot, Lucien Lapeyre, Victor PalombI, Christophe Quesnel & Nicolas Mongardon
Service d’imagerie médicale, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, F-94010, France
Alain Luciani & Vania Tacher
Univ Paris Est Créteil, INSERM, IMRB, Créteil, F-94010, France
Quentin de Roux & Nicolas Mongardon
Ecole Nationale Vétérinaire d’Alfort, IMRB, Maisons-Alfort, F-94700, France
Quentin de Roux & Nicolas Mongardon
Faculté de Santé, Université Paris Est Créteil, Créteil, F-94010, France
Quentin de Roux, Alain Luciani, Christophe Quesnel, Vania Tacher & Nicolas Mongardon
GRCT OPTIMA, Université Paris Est Créteil, Créteil, F-94010, France
Quentin de Roux, Christophe Quesnel & Nicolas Mongardon
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Contributions
EG, VT and NM designed the study and wrote the manuscript. EG, QDR, LL, VP, VT and NM collected study data. EG, VT and NM performed the statistical analysis. All authors participated in writing and revising the manuscript. All authors read and approved the final manuscript.
Corresponding author
Correspondence to Nicolas Mongardon.
Ethics approval and consent to participate
Patients were informed of the anonymous data extraction and analysis from medical charts. This study was approved by the Comité d’Ethique pour la Recherche en Anesthésie-Réanimation (CERAR, IRB 00010254-2023-117).
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All authors have given their consents for publication.
Competing interests
NM serves as a consultant for AOP Health and Baxter. The other authors have not disclosedany potential competing interests.
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Gentil, E., de Roux, Q., Ribot, S. et al. Computed tomography image quality with high-flow contrast via high-pressure central venous catheter in critically ill patients. Crit Care29, 433 (2025). https://doi.org/10.1186/s13054-025-05673-4
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Critical Care is an esteemed international medical journal that undergoes a rigorous peer-review process to maintain its high quality standards. Its primary objective is to enhance the healthcare services offered to critically ill patients. To achieve this, the journal focuses on gathering, exchanging, disseminating, and endorsing evidence-based information that is highly relevant to intensivists. By doing so, Critical Care seeks to provide a thorough and inclusive examination of the intensive care field.