危重病人经高压中心静脉导管高流量造影的计算机断层成像质量

IF 9.3 1区 医学 Q1 CRITICAL CARE MEDICINE
Emmanuelle Gentil, Quentin de Roux, Solène Ribot, Lucien Lapeyre, Victor PalombI, Alain Luciani, Christophe Quesnel, Vania Tacher, Nicolas Mongardon
{"title":"危重病人经高压中心静脉导管高流量造影的计算机断层成像质量","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> &lt; 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 &amp; 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 &amp; Vania Tacher</p></li><li><p>Univ Paris Est Créteil, INSERM, IMRB, Créteil, F-94010, France</p><p>Quentin de Roux &amp; Nicolas Mongardon</p></li><li><p>Ecole Nationale Vétérinaire d’Alfort, IMRB, Maisons-Alfort, F-94700, France</p><p>Quentin de Roux &amp; 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 &amp; Nicolas Mongardon</p></li><li><p>GRCT OPTIMA, Université Paris Est Créteil, Créteil, F-94010, France</p><p>Quentin de Roux, Christophe Quesnel &amp; 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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0-.92-.08-1.33-.25-.41-.16-.77-.4-1.08-.7-.3-.31-.54-.69-.72-1.13-.17-.44-.26-.95-.26-1.52zm4.61-.62c0-.55-.11-.98-.34-1.28-.23-.31-.58-.47-1.06-.47-.41 0-.77.15-1.08.45-.31.29-.5.73-.57 1.3zm3.01 2.23c.31.24.61.43.92.57.3.13.63.2.98.2.38 0 .65-.08.83-.23s.27-.35.27-.6c0-.14-.05-.26-.13-.37-.08-.1-.2-.2-.34-.28-.14-.09-.29-.16-.47-.23l-.53-.22c-.23-.09-.46-.18-.69-.3-.23-.11-.44-.24-.62-.4s-.33-.35-.45-.55c-.12-.21-.18-.46-.18-.75 0-.61.23-1.1.68-1.49.44-.38 1.06-.57 1.83-.57.48 0 .91.08 1.29.25s.71.36.99.57l-.74.98c-.24-.17-.49-.32-.73-.42-.25-.11-.51-.16-.78-.16-.35 0-.6.07-.76.21-.17.15-.25.33-.25.54 0 .14.04.26.12.36s.18.18.31.26c.14.07.29.14.46.21l.54.19c.23.09.47.18.7.29s.44.24.64.4c.19.16.34.35.46.58.11.23.17.5.17.82 0 .3-.06.58-.17.83-.12.26-.29.48-.51.68-.23.19-.51.34-.84.45-.34.11-.72.17-1.15.17-.48 0-.95-.09-1.41-.27-.46-.19-.86-.41-1.2-.68z" fill="#535353"/></g></svg>\" width=\"57\"/><h3>Cite this article</h3><p>Gentil, E., de Roux, Q., Ribot, S. <i>et al.</i> Computed 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 data-track=\"click\" data-track-action=\"get shareable link\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Get shareable link</button><p>Sorry, a shareable link is not currently available for this article.</p><p data-track=\"click\" data-track-action=\"select share url\" data-track-label=\"button\"></p><button data-track=\"click\" data-track-action=\"copy share url\" data-track-external=\"\" data-track-label=\"button\" type=\"button\">Copy shareable link to clipboard</button><p> Provided by the Springer Nature SharedIt content-sharing initiative </p>","PeriodicalId":10811,"journal":{"name":"Critical Care","volume":"37 1","pages":""},"PeriodicalIF":9.3000,"publicationDate":"2025-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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> &lt; 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 &amp; 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 &amp; Vania Tacher</p></li><li><p>Univ Paris Est Créteil, INSERM, IMRB, Créteil, F-94010, France</p><p>Quentin de Roux &amp; Nicolas Mongardon</p></li><li><p>Ecole Nationale Vétérinaire d’Alfort, IMRB, Maisons-Alfort, F-94700, France</p><p>Quentin de Roux &amp; 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 &amp; Nicolas Mongardon</p></li><li><p>GRCT OPTIMA, Université Paris Est Créteil, Créteil, F-94010, France</p><p>Quentin de Roux, Christophe Quesnel &amp; 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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Computed 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 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引用次数: 0

摘要

对比增强计算机断层扫描(CECT)是危重患者的关键诊断手段,危重患者大部分时间通过中心静脉导管(CVC)注射造影剂(CM)。对比增强的质量取决于患者依赖(心输出量、体重和大小)或患者独立(ct扫描技术、导管类型、注射部位、CM体积和注射速率)因素[1]。注射速率是造影剂增强的关键参数,但受静脉通道内在质量的限制,在高压(HP)或高流量[2]情况下存在移位、球囊、破裂和造影剂外渗的风险。虽然标准CVC允许注射速率高达5毫升/秒,但制造商不建议将其用于压力注射。因此,最近设计了允许更高压力和流量的cvc。这可以提高CECT的图像质量,或减少CM体积以达到相似的质量,从而降低造影剂引起的急性肾损伤的风险,并最大限度地减少环境影响。然而,CM注射在高流量下通过HP CVC的兴趣从未被研究过。在这里,我们报告了通过HP CVC以高流速注射CM与通过标准CVC以标准流速注射CM获得的CECT图像的客观图像质量。所有上腔静脉CVC需要胸部和/或腹部CECT的危重成人患者进行了分析。2023年9月之前(回顾性/前期)使用标准CVC(参考文献:CV-12703, CV-15703, CV-12854, CV-15854, Arrow®/Teleflex®)。在2023年9月之后(前瞻性/后期),使用HP CVC(参考文献:EU-42854-HPS, EU-45854-HPS, Arrow®/Teleflex®)。排除了ECMO或需要单独头部ct扫描的患者。除流速外,所有注射CM的ct扫描均按照相同的方案进行。CM注射使用Bracco injenering SA®(650197 CT express™-控制面板)设备进行。单基因CT采集使用CT设备(Revolution CT Apex Elite, General Electric Medical Systems®)。注射顺序为等渗生理盐水10 mL, CM注射,体积设定为1 mL/kg,以相同流速吹扫等渗生理盐水20 mL。标准CVC组,流速设定为3.5 mL/s,通过16号远端管腔注射;HP CVC组,流速为10 mL/s,通过专用的14号内侧管腔注射。图像质量评估基于主动脉和肝脏乳糜干水平动脉和门脉时间的信噪比(SNR)和对比噪声比(CNR),并由资深放射科医师进行盲分析。简而言之,信噪比量化了信号相对于背景噪声的强度。它是通过将平均信号强度除以感兴趣的圆形区域中噪声的标准差3cm2来计算的。信噪比越高,信号越清晰。相对于噪声,CNR测量感兴趣的信号和背景之间的对比度。它是通过将感兴趣的3cm2圆形区域与参考区域(如肌肉)之间的信号强度差除以噪声的标准偏差来确定的。在这项研究中,噪音就是空气。CNR越高,表明对比度越好。两期共纳入75例患者:56例CECT伴标准CVC 67例,19例CECT伴HP CVC 31例。表1列出了患者的主要特征、心输出量的影响因素和CECT。两组间无临床相关差异。HP CVC组的流速明显更高,中位流速为7.7 mL/s[7- 8.3],而标准CVC组为3.5 mL/s (p &lt; 0.001)。CM体积或碘剂量与体重归一化相似。然而,在动脉期和门脉期,主动脉和肝脏的SNR和CNR测量没有显著差异。本初步报告作为评价高流量CM注射经HP CVCs增强的CECT图像质量的第一个系列,存在一定的局限性。首先,没有达到10 ml/s的理论流速,有效中位流速为7.7 ml/s。可能的解释是动力喷射器校准的限制,或CM粘度的变化,这取决于环境室温,可能随着时间的推移而变化。其次,我们估计标准CVC组的流速为3.5 mL/s,因为这一信息无法回顾性检索。然而,两组的确切流速仍然未知。最后,无论CM注入流量如何,CM注入与图像采集之间的延迟都是不变的,但采集时间可能会相应调整[1]。 总之,在这个以危重患者为重点的系列研究中,使用HP CVC可以实现CM的高流量注射,没有任何不良事件。然而,这种策略与改善客观图像质量无关。需要在特定人群中进行进一步的研究,特别是那些心输出量改变且CECT质量经常降低的人群(如ECMO患者、镰状细胞病患者或妊娠患者),或指征(肺栓塞或CT冠状动脉造影的研究)。表1基线特征全尺寸表数据可根据通讯作者的合理要求提供。CECT:对比增强计算机断层扫描cm:造影剂acnr:对比噪声比cvc:中心静脉导管ecmo:体外膜氧合hp:高压icu:重症监护病房信噪比静脉造影剂给药和CT扫描时机:考虑和方法。放射学。2010;256(1):32 - 61。学者Buijs SB.通过静脉导管注射造影剂用于对比增强计算机断层扫描的安全性和有效性的系统评价。[J] .中国生物医学工程学报,2017;学者Plumb Aa, Murphy O.中心静脉导管在CT检查中静脉注射造影剂的应用。中华放射医学杂志,2011;32(3):391 - 391。CAS PubMed PubMed Central谷歌Scholar Arrow T. EU-42854-HPS 4流明HP CVC用户手册[互联网]。可从:https://www.teleflexvascular.com/products/eu-42854-hps。2025年8月31日访问。Bastos A deL, Nogueira债务抵押债券。诊断放射学中的图像质量:放射学家方法论指南。放射学杂志。2025;58:e20240088。PubMed PubMed Central谷歌学者下载参考资料不适用。作者没有获得研究或出版的经济支持。Teleflex为“术后”研究免费提供了高压中心静脉导管。然而,该公司没有参与协议的制定、数据的收集和分析,也没有访问数据的权限。翻译和撰写手稿仅由作者完成。作者及联系:<s:1> <s:1>巴黎大学(Paris university), <s:2>巴黎大学(Paris university), Hôpitaux Henri Mondor, cracei, F-94010,法国emmanuelle Gentil, Quentin de Roux, sol<e:1> ne Ribot, Lucien Lapeyre, Victor PalombI, Christophe Quesnel & & Nicolas mongaro . <s:1> <s:1>巴黎大学(Paris university), Publique-Hôpitaux巴黎大学(Paris university), Hôpitaux Henri Mondor, cracei, F-94010, alain Luciani & Vania tech university, Paris Est cracei,法国国立大学阿尔福学院,IMRB,阿尔福maisons, F-94700, FranceQuentin de Roux &amp;法国圣加尔大学圣加尔学院,法国阿尔福大学,Alain Luciani, Christophe Quesnel, Vania teacher &amp;法国阿尔福大学,法国阿尔福大学,F-94010,法国阿尔福大学,法国阿尔福,F-94010FranceQuentin de Roux, Christophe Quesnel &; Nicolas MongardonAuthorsEmmanuelle GentilView作者出版物搜索作者on:PubMed谷歌ScholarQuentin de RouxView作者出版物搜索作者on:PubMed谷歌scholarsol<e:1> RibotView作者出版物搜索作者on:PubMed谷歌ScholarLucien LapeyreView作者出版物搜索作者on:PubMed谷歌ScholarVictor PalombIView作者出版物搜索作者on:PubMed谷歌ScholarAlain LucianiView作者出版物搜索作者on:PubMed谷歌作者on:PubMed b谷歌ScholarChristophe QuesnelView作者publationssearch作者on:PubMed谷歌ScholarVania TacherView作者publationssearch作者on:PubMed谷歌ScholarNicolas MongardonView作者publationssearch作者on:PubMed谷歌ScholarContributionsEG, VT和NM设计了这项研究并撰写了手稿。EG, QDR, LL, VP, VT和NM收集研究数据。EG、VT、NM进行统计学分析。所有作者都参与了稿件的撰写和修改。所有作者都阅读并批准了最终的手稿。通讯作者:Nicolas Mongardon。参与者的伦理批准和同意患者被告知从医疗图表中匿名提取和分析数据。本研究已获得欧盟委员会(CERAR, IRB 00010254-2023-117)批准。出版同意所有作者都已同意出版。竞争利益snm担任AOP Health and Baxter的顾问。其他作者没有透露任何潜在的竞争利益。出版方声明:对于已出版地图的管辖权要求和机构关系,普林格·自然保持中立。开放获取本文遵循知识共享署名协议。 国际许可,允许以任何媒介或格式使用、共享、改编、分发和复制,只要您适当地注明原作者和来源,提供到知识共享许可的链接,并注明是否进行了更改。本文中的图像或其他第三方材料包含在文章的知识共享许可协议中,除非在材料的署名中另有说明。如果材料未包含在文章的知识共享许可中,并且您的预期用途不被法律法规允许或超过允许的用途,您将需要直接获得版权所有者的许可。要查看本许可协议的副本,请访问http://creativecommons.org/licenses/by/4.0/.Reprints和permissionsCite本文legentil, E., de Roux, Q., Ribot, S.等人。危重病人经高压中心静脉导管高流量造影的计算机断层成像质量。危重症护理29,433(2025)。https://doi.org/10.1186/s13054-025-05673-4Download citation:收稿日期:2025年8月31日接受日期:2025年9月18日发布日期:2025年10月14日doi: https://doi.org/10.1186/s13054-025-05673-4Share这篇文章任何人与您分享以下链接将能够阅读此内容:获取可共享链接对不起,本文目前没有可共享链接。复制可共享的链接到剪贴板提供的施普林格自然共享内容的倡议
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Computed tomography image quality with high-flow contrast via high-pressure central venous catheter in critically ill patients

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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 characteristics
Full 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

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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

  1. 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

  2. Service d’imagerie médicale, Assistance Publique-Hôpitaux de Paris, Hôpitaux Universitaires Henri Mondor, Créteil, F-94010, France

    Alain Luciani & Vania Tacher

  3. Univ Paris Est Créteil, INSERM, IMRB, Créteil, F-94010, France

    Quentin de Roux & Nicolas Mongardon

  4. Ecole Nationale Vétérinaire d’Alfort, IMRB, Maisons-Alfort, F-94700, France

    Quentin de Roux & Nicolas Mongardon

  5. Faculté de Santé, Université Paris Est Créteil, Créteil, F-94010, France

    Quentin de Roux, Alain Luciani, Christophe Quesnel, Vania Tacher & Nicolas Mongardon

  6. GRCT OPTIMA, Université Paris Est Créteil, Créteil, F-94010, France

    Quentin de Roux, Christophe Quesnel & Nicolas Mongardon

Authors
  1. Emmanuelle GentilView author publications

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  2. Quentin de RouxView author publications

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  3. Solène RibotView author publications

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  4. Lucien LapeyreView author publications

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  5. Victor PalombIView author publications

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  6. Alain LucianiView author publications

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  7. Christophe QuesnelView author publications

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  8. Vania TacherView author publications

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  9. Nicolas MongardonView author publications

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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).

Consent for publication

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 Care 29, 433 (2025). https://doi.org/10.1186/s13054-025-05673-4

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来源期刊
Critical Care
Critical Care 医学-危重病医学
CiteScore
20.60
自引率
3.30%
发文量
348
审稿时长
1.5 months
期刊介绍: 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.
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