Quantification of Hepatocellular Carcinoma Vascular Dynamics With Contrast-Enhanced Ultrasound for LI-RADS Implementation.
Journal
Investigative radiology
ISSN: 1536-0210
Titre abrégé: Invest Radiol
Pays: United States
ID NLM: 0045377
Informations de publication
Date de publication:
19 Sep 2023
19 Sep 2023
Historique:
medline:
19
9
2023
pubmed:
19
9
2023
entrez:
19
9
2023
Statut:
aheadofprint
Résumé
The aim of this study is to describe a comprehensive contrast-enhanced ultrasound (CEUS) imaging protocol and analysis method to implement CEUS LI-RADS (Liver Imaging Reporting and Data System) in a quantifiable manner. The methods that are validated with a prospective single-center study aim to simplify CEUS LI-RADS evaluation, remove observer bias, and potentially improve the sensitivity of CEUS LI-RADS. This prospective single-center study enrolled patients with hepatocellular carcinoma (April 2021-June 2022; N = 31; mean age ± SD, 67 ± 6 years; 24 men/7 women). For each patient, at least 2 CEUS loops spanning over 5 minutes were collected for different lesion scan planes using an articulated arm to hold the transducer. Automatic respiratory gating and motion compensation algorithms removed errors due to breathing motion. The long axis of the lesion was measured in the contrast and fundamental images to capture nodule size. Parametric processing of time-intensity curve analysis on linearized data provided quantifiable information of the wash-in and washout dynamics via rise time (RT) and degree of washout (DW) parameters extracted from the time-intensity curve, respectively. A Welch t test was performed between lesion and parenchyma RT for each lesion to confirm statistically significant differences. P values for bootstrapped 95% confidence intervals of the relative degree of washout (rDW), ratio of DW between the lesion and surrounding parenchyma, were computed to quantify lesion washout. Coefficient of variation (COV) of RT, DW, and rDW was calculated for each patient between injections for both the lesion and surrounding parenchyma to gauge reproducibility of these metrics. Spearman rank correlation tests were performed among size, RT, DW, and rDW values to evaluate statistical dependence between the variables. The mean ± SD lesion diameter was 23 ± 8 mm. The RT for all lesions, capturing arterial phase hyperenhancement, was shorter than that of surrounding liver parenchyma (P < 0.05). All lesions also demonstrated significant (P < 0.05) but variable levels of washout at both 2-minute and 5-minute time points, quantified in rDW. The COV of RT for the lesion and surrounding parenchyma were both 11%, and the COV of DW and rDW at 2 and 5 minutes ranged from 22% to 31%. Statistically significant relationships between lesion and parenchyma RT and between lesion RT and lesion DW at the 2- and 5-minute time points were found (P < 0.05). The imaging protocol and analysis method presented provide robust, quantitative metrics that describe the dynamic vascular patterns of LI-RADS 5 lesions classified as hepatocellular carcinomas. The RT of the bolus transit quantifies the arterial phase hyperenhancement, and the DW and rDW parameters quantify the washout from linearized CEUS intensity data. This unique methodology is able to implement the CEUS-LIRADS scheme in a quantifiable manner for the first time and remove its existing issues of currently being qualitative and suffering from subjective evaluations.
Identifiants
pubmed: 37725492
doi: 10.1097/RLI.0000000000001022
pii: 00004424-990000000-00151
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.
Déclaration de conflit d'intérêts
Conflicts of interest and sources of funding: R.G.B. has received research grants from Philips Ultrasound, Siemens Healthineers, Canon Medical Systems, Mindray, Samsung Ultrasound, and Hologic. R.G.B. is also on the speaker's bureau for Philips Ultrasound, Siemens Ultrasound, Canon Medical Systems, Mindray, Bracco Diagnostics, and Hologic. R.G.B. participates in advisory panels for Lantheus Medical and Hologic, and received royalties from Thieme and Elsevier Publishers. M.D. has received research grants from Philips Ultrasound and GE Healthcare, is also on the speaker's bureau and advisory panel for Philips Ultrasound, and received royalties from Elsevier Publishers. Y.K. has received research grants from Bracco and Canon Medical Systems.
Références
McGlynn KA, Petrick JL, El-Serag HB. Epidemiology of hepatocellular carcinoma. Hepatology. 2021;73(Suppl 1(Suppl 1)):4–13.
Hu J, Bhayana D, Burak KW, et al. Resolution of indeterminate MRI with CEUS in patients at high risk for hepatocellular carcinoma. Abdom Radiol (NY). 2020;45:123–133.
Mitchell DG, Bruix J, Sherman M, et al. LI-RADS (liver imaging reporting and data system): summary, discussion, and consensus of the LI-RADS management working group and future directions. Hepatology. 2015;61:1056–1065.
Chernyak V, Fowler KJ, Do RKG, et al. LI-RADS: looking back, looking forward. Radiology. 2023;307:e222801.
Cunha GM, Fowler KJ, Roudenko A, et al. How to use LI-RADS to report liver CT and MRI observations. Radiographics. 2021;41:1352–1367.
Bartolotta TV, Terranova MC, Gagliardo C, et al. CEUS LI-RADS: a pictorial review. Insights Imaging. 2020;11:9.
Wilson SR, Feinstein SB. Introduction: 4th guidelines and good clinical practice recommendations for contrast enhanced ultrasound (CEUS) in the liver-update 2020 WFUMB in cooperation with EFSUMB, AFSUMB, AIUM and FLAUS. Ultrasound Med Biol. 2020;46:3483–3484.
Burak KW, Douglas L, Congly SE. Comparing magnetic resonance imaging and contrast-enhanced ultrasound (CEUS) for the characterization of nodules found on hepatocellular carcinoma surveillance: CEUS is our clear choice. J Ultrasound Med. 2023;42:1175–1180.
Hu J, Burrowes DP, Caine BA, et al. Nodules identified on surveillance ultrasound for HCC: CEUS or MRI as the initial test? J Ultrasound Med. 2023;42:1181–1190.
Egger C, Goertz RS, Strobel D, et al. Dynamic contrast-enhanced ultrasound (DCE-US) for easy and rapid evaluation of hepatocellular carcinoma compared to dynamic contrast-enhanced computed tomography (DCE-CT)—a pilot study. Ultraschall Med. 2012;33:587–592.
Peng S, Ding H, Fu T, et al. Savitzky-Golay filter based contrast-enhanced ultrasound quantification in hepatic tumors: methodology and its correlation with tumor angiogenesis. Clin Hemorheol Microcirc. 2019;73:271–282.
Wildner D, Pfeifer L, Goertz RS, et al. Dynamic contrast-enhanced ultrasound (DCE-US) for the characterization of hepatocellular carcinoma and cholangiocellular carcinoma. Ultraschall Med. 2014;35:522–527.
Yue WW, Wang S, Xu HX, et al. Parametric imaging with contrast-enhanced ultrasound for differentiating hepatocellular carcinoma from metastatic liver cancer. Clin Hemorheol Microcirc. 2016;64:177–188.
Tiyarattanachai T, Turco S, Eisenbrey JR, et al. A comprehensive motion compensation method for in-plane and out-of-plane motion in dynamic contrast-enhanced ultrasound of focal liver lesions. Ultrasound Med Biol. 2022;48:2217–2228.
Wan P, Chen F, Shao W, et al. Irregular respiratory motion compensation for liver contrast-enhanced ultrasound via transport-based motion estimation. IEEE Trans Ultrason Ferroelectr Freq Control. 2021;68:1117–1130.
Keller SB, Sheeran PS, Averkiou MA. Cavitation therapy monitoring of commercial microbubbles with a clinical scanner. IEEE Trans Ultrason Ferroelectr Freq Control. 2021;68:1144–1154.
Dietrich CF, Averkiou MA, Correas JM, et al. An EFSUMB introduction into dynamic contrast-enhanced ultrasound (DCE-US) for quantification of tumour perfusion. Ultraschall Med. 2012;33:344–351.
Christofides D, Leen E, Averkiou M. Automatic respiratory gating for contrast ultrasound evaluation of liver lesions. IEEE Trans Ultrason Ferroelectr Freq Control. 2014;61:25–32.
Christofides D, Leen ELS, Averkiou MA. Improvement of the accuracy of liver lesion DCEUS quantification with the use of automatic respiratory gating. Eur Radiol. 2016;26:417–424.
Haukoos JS, Lewis RJ. Advanced statistics: bootstrapping confidence intervals for statistics with “difficult” distributions. Acad Emerg Med. 2005;12:360–365.
Altman DG, Bland JM. How to obtain the P value from a confidence interval. BMJ. 2011;343:d2304.
Kim TK, Noh SY, Wilson SR, et al. Contrast-enhanced ultrasound (CEUS) liver imaging reporting and data system (LI-RADS) 2017—a review of important differences compared to the CT/MRI system. Clin Mol Hepatol. 2017;23:280–289.
Averkiou M, Lampaskis M, Kyriakopoulou K, et al. Quantification of tumor microvascularity with respiratory gated contrast enhanced ultrasound for monitoring therapy. Ultrasound Med Biol. 2010;36:68–77.
Fournier LS, Cuenod CA, de Bazelaire C, et al. Early modifications of hepatic perfusion measured by functional CT in a rat model of hepatocellular carcinoma using a blood pool contrast agent. Eur Radiol. 2004;14:2125–2133.
Choi J-Y, Lee J-M, Sirlin CB. CT and MR imaging diagnosis and staging of hepatocellular carcinoma: part II. Extracellular agents, hepatobiliary agents, and ancillary imaging features. Radiology. 2014;273:30–50.
Wilson SR, Burns PN, Kono Y. Contrast-enhanced ultrasound of focal liver masses: a success story. Ultrasound Med Biol. 2020;46:1059–1070.
Bhayana D, Kim TK, Jang HJ, et al. Hypervascular liver masses on contrast-enhanced ultrasound: the importance of washout. AJR Am J Roentgenol. 2010;194:977–983.
Averkiou MA, Juang EK, Gallagher MK, et al. Evaluation of the reproducibility of bolus transit quantification with contrast-enhanced ultrasound across multiple scanners and analysis software packages—a Quantitative Imaging Biomarker Alliance study. Invest Radiol. 2020;55:643–656.
RSNA 2023. Available at: https://qibawiki.rsna.org/index.php/Ultrasound_CEUS_BC. Accessed May 16, 2023.
Yang D, Li R, Zhang X-H, et al. Perfusion characteristics of hepatocellular carcinoma at contrast-enhanced ultrasound: influence of the cellular differentiation, the tumor size and the underlying hepatic condition. Sci Rep. 2018;8:4713.
Strouthos C, Lampaskis M, Sboros V, et al. Indicator dilution models for the quantification of microvascular blood flow with bolus administration of ultrasound contrast agents. IEEE Trans Ultrason Ferroelectr Freq Control. 2010;57:1296–1310.
Pinter M, Scheiner B, Peck-Radosavljevic M. Immunotherapy for advanced hepatocellular carcinoma: a focus on special subgroups. Gut. 2021;70:204–214.
Frinking P, Segers T, Luan Y, et al. Three decades of ultrasound contrast agents: a review of the past, present and future improvements. Ultrasound Med Biol. 2020;46:892–908.
Stride E, Segers T, Lajoinie G, et al. Microbubble agents: new directions. Ultrasound Med Biol. 2020;46:1326–1343.