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W tym Artykule

  • Podsumowanie
  • Streszczenie
  • Wprowadzenie
  • Protokół
  • Wyniki
  • Dyskusje
  • Ujawnienia
  • Podziękowania
  • Materiały
  • Odniesienia
  • Przedruki i uprawnienia

Podsumowanie

A protocol for noninvasively estimating ambient pressures utilizing subharmonic ultrasound imaging of infused contrast microbubbles (following appropriate calibration) is described with examples from human patients with chronic liver disease.

Streszczenie

Noninvasive, accurate measurement of pressures within the human body has long been an important but elusive clinical goal. Contrast agents for ultrasound imaging are gas-filled, encapsulated microbubbles (diameter < 10 μm) that traverse the entire vasculature and enhance signals by up to 30 dB. These microbubbles also produce nonlinear oscillations at frequencies ranging from the subharmonic (half of the transmit frequency) to higher harmonics. The subharmonic amplitude has an inverse linear relationship with the ambient hydrostatic pressure. Here an ultrasound system capable of performing real-time, subharmonic aided pressure estimation (SHAPE) is presented. During ultrasound contrast agent infusion, an algorithm for optimizing acoustic outputs is activated. Following this calibration, subharmonic microbubble signals (i.e., SHAPE) have the highest sensitivity to pressure changes and can be used to noninvasively quantify pressure. The utility of the SHAPE procedure for identifying portal hypertension in the liver is the emphasis here, but the technique has applicability across many clinical scenarios.

Wprowadzenie

A number of different ultrasound contrast agents (UCAs) are approved for clinical use in cardiology (in particular left ventricular opacification) and radiology (in particular adult and pediatric liver lesion characterization) across the world.1 The sensitivity and specificity of ultrasound imaging can be improved by intravenous (IV) injection of gas-filled microbubbles (diameter < 10 μm) encapsulated by a lipid or protein shell as UCAs that traverse the entire vasculature and enhance signals by up to 30 dB.1 These UCAs not only enhance the backscattered ultrasound signals, but at sufficient acoustic pressures (> 200 kPa) they also act as nonlinear oscillators. Hence, significant energy components will be produced in the received echoes ranging from subharmonic and harmonic to ultraharmonic frequencies.1,2 These nonlinear signal components can be extracted from tissue and linear bubble echoes (e.g., using pulse inversion) and used to create contrast-specific imaging modalities such as subharmonic imaging (SHI), which receives at half the transmit frequency (i.e., at f0/2).3 Our group has demonstrated in human clinical trials that SHI can detect the blood flow in neovessels and arterioles associated with a variety of tumors and tissues.4,5,6,7,8,9

We have advocated the use of UCAs not as vascular tracers, but as sensors for noninvasive pressure estimation in the circulatory system by monitoring subharmonic contrast bubble amplitude variations.10 This innovative technique, called subharmonic-aided pressure estimation (SHAPE), relies on the inverse linear correlation between the amplitude of the subharmonic signals and hydrostatic pressure (up to 186 mmHg) measured for most commercial UCAs in vitro (r2 > 0.90) as summarized in Table 1.10,11 However, it should be noted that not all UCAs exhibit this behavior. Most notably, it has been shown that subharmonic signals from the UCA SonoVue (known as Lumason in the USA) initially rise with hydrostatic pressure increases, followed by a plateau and a decreasing phase.12 Nonetheless, SHAPE offers the possibility of allowing pressure gradients in the heart and throughout the cardiovascular system as well as interstitial fluid pressure in tumors to be obtained noninvasively.13,14,15,16,17 Recently, we implemented a real-time version of the SHAPE algorithm on a commercial ultrasound scanner and provided proof-of-concept that SHAPE can provide in vivo pressure estimates with errors of less than 3 mmHg in the left and right ventricles of patients.16,17

The most experience with SHAPE to date has been for diagnosing portal hypertension with more than 220 subjects enrolled  and initial findings confirmed in a multi-center trial.13,14 Portal hypertension is defined as an increase in the pressure gradient between the portal vein and hepatic veins or the inferior vena cava exceeding 5 mmHg, while clinically significant portal hypertension (CSPH) requires a gradient or its equivalent, a hepatic venous pressure gradient (HVPG) ≥ 10 mmHg.18 CSPH is associated with an increased risk of gastroesophageal varices, ascites, hepatic decompensation, post-operative decompensation, and hepatocellular carcinoma.18,19 Patients who develop ascites have a 50% three-year mortality and those who develop spontaneous infection of the ascites fluid carry a 70% one-year mortality. Patients with cirrhosis have a 5-10% yearly incidence of gastroesophageal variceal formation, and a 4-15% yearly incidence of bleeding; each bleeding episode carries up to a 20% risk of death.18,19

This manuscript describes how to conduct a SHAPE study using commercially available equipment and UCAs with an emphasis on identifying portal hypertension in the liver of patients. The critical calibration procedure required to achieve the highest sensitivity to estimating pressure changes is explained in detail.

Protokół

The institutional review boards of both Thomas Jefferson University and the Hospital of the University of Pennsylvania approved this protocol. The protocol is compliant with the Health Insurance Portability and Accountability Act. The United States Food and Drug Administration (FDA) issued an Investigational New Drug approval (IND # 124,465 to F. Forsberg) for this protocol. GE Healthcare (Oslo, Norway) provided the UCA used in this research (Sonazoid; Table 1). Sonazoid is not approved by the FDA for any clinical applications in the United Sates, which is why an IND was necessary. Other UCAs with FDA approval1 can be used off-label at the discretion of the treating physician if deemed potentially clinically useful.

NOTE: The full protocol and statistical analysis plan are available at https:// clinicaltrials.gov/ct2/show/NCT02489045. Trial registration number: NCT # 02489045.

1. Subject preparation

  1. Review the subject’s known drug allergies or intolerances in particular any known allergy to the UCA being used.
  2. Exclude subjects with unstable cardiopulmonary conditions or who are generally medically unstable.
  3. Put the subject on a stretcher in the supine position.
  4. Place an 18 - 22 gauge cannula in a vein in the subject’s right or left arm for the UCA infusion.
  5. Make sure emergency services (e.g., a crash cart) will be available within the hospital in case of any acute adverse reactions.
    NOTE: UCAs are very safe with serious anaphylactoid-type reactions reported at a rate of less than 0.01%.20

2. UCA preparation (Specific to Sonazoid)

  1. Prepare three (3) vials with 48 µL of microbubbles (6 mL) for each subject by resuspending according to the manufacturer’s instructions. The UCA is supplied as a dry powder within 10 mL sealed vials. The headspace of the vials contains perfluorobutane.
    1. Perforate the stopper of the UCA vial with a chemospike.
    2. Remove the protective cap from the syringe port of the chemospike and add 2 mL of sterile water.
    3. With the syringe remaining attached to the chemospike, immediately shake the product for 1 minute to ensure a homogeneous product.
    4. Withdraw the product into the syringe and re-inject the product back into the vial again. This is to avoid dilution of the product due to the dead-space volume in the chemospike.
    5. Remove the syringe from the syringe port and reattach the protective cap. The concentration of the reconstituted UCA is 8 µL microbubbles/mL.
    6. Repeat the reconstitution procedure for the other 2 vials.
  2. Use saline (0.9% NaCl solution) to fill up the connecting tubes before being connected to a 3-way stopcock. The stopcock will then be connected to the extension tubing leading to the cannula.
  3. Draw all three (3) vials of suspended UCA into a 10 mL syringe, and place it in a syringe pump at the same level or below the patient, and connect directly to the stopcock.
  4. After the initial ultrasound imaging and after the stopcock has been opened, infuse the NaCl solution at a rate of 120 mL/hour, and co-infuse Sonazoid at a rate of 0.024 µL per kg body weight per minute (suspension infusion rate of 0.18 mL/kg/hour).
    NOTE: This infusion rate was selected based on our group’s previous experiences with Sonazoid infusion in portal hypertension subjects undergoing SHAPE13,14,21. The exact resuspension procedure and infusion method will vary depending on the UCA used.

3. Initial ultrasound imaging

  1. Power up an ultrasound scanner (e.g., Logiq E10, version R2) and select the C1-6-D curvilinear probe.
  2. Select an abdominal preset on the ultrasound scanner and use a curvi-linear array (typically with a 1-6 or 2-8 MHz bandwidth) to acquire grayscale images of both the portal and a hepatic vein in the same imaging plane and at similar depths (Figure 1). This is generally best achieved via a subcostal approach.
  3. Optimize the images based on Good Clinical Practice and take care to select the hepatic vein region away from the inferior vena cava to avoid the influence of retrograde flow.

4. SHI and SHAPE imaging

  1. Activate the SHI contrast imaging mode in dual display mode (i.e., running real-time B-mode and SHI simultaneously) using the Subharmonic Contrast touch panel button and activate Contrast mode. Then select SUBH-AM on the rotary control.
    1. Perform SHI at a transmit frequency of 2.5 MHz and obtain the received signals at 1.25 MHz.
    2. Use pulse-shaping to maximize the generation of subharmonic microbubble signals, such as a Gaussian windowed binomial filtered square wave with Sonazoid,21 but this is scanner and UCA dependent.17
      NOTE: The choice of imaging frequency and pulse shape may not be available to end-users.
  2. Confirm the patency of the portal and the hepatic vein as well as the presence of microbubbles, which can take up to 1-2 minutes from the start of the infusion.
  3. Activate the SHAPE automated optimization code to optimize SHAPE by compensating for varying depth and attenuation.22,23 Select TIC Analysis on the touch panel followed by F6 and then the k button.
  4. The SHAPE optimization algorithm will acquire subharmonic data for every acoustic output level. Once data acquisition is complete, position an ROI on the portal vein in the contrast sample window (top left on the TIC Analysis screen).
    1. Plot the average subharmonic data within the ROI as a function of acoustic output and fit a logistic curve to the data. Select the inflection point of this curve (or rather the peak in the derivative curve shown underneath) as the optimized power, as this has been shown to be the point of greatest SHAPE sensitivity.22,23 One such set of curves is shown in Figure 2.
  5. Adjust the acoustic output power to the value identified in step 4.4.1, which will ensure the maximum change in subharmonic amplitudes a function of ambient pressure (i.e., maximizing the sensitivity of SHAPE).
  6. Acquire subharmonic data from the microbubbles (i.e., SHAPE) in 5-15 s segments during the infusion of the UCA suspension (Figure 3).

5. SHAPE data processing

  1. Once the optimized SHI cine-loop has been acquired (step 5.6) select “TIC Analysis” on the touch panel.
    1. Make sure “Motion Tracking” is activated on the touch panel, which adjusts the ROI position for each frame to compensate for any breathing or other motion.
    2. Make sure dB is selected as the unit for the Y-axis on the traces in the analysis window.
  2. In the contrast sample window (top left on the screen) select identical ROIs (elliptical regions are default) within the hepatic and portal veins. In the analysis window (to the right) the subharmonic signal (in dB) within each vessel is averaged over all the frames in a 0.5 MHz bandwidth around 1.25 MHz.
  3. Calculate the final SHAPE gradient (in dB) as the difference in the mean subharmonic signal between the hepatic and the portal vein ROIs. Based on current studies, the optimal operating point for identifying CSPH is -0.11 dB and the linear regression equation is HVPG = 0.81 x SHAPE + 9.43.14 It is important to note that this cutoff and equation are both scanner and UCA dependent.

Wyniki

As with all ultrasound imaging examinations, the first consideration for liver SHAPE is to obtain the best possible baseline grayscale images of the target region and to ensure (using Doppler imaging) that there are no intrahepatic portal venous shunts or other vascular abnormalities present. In the case of liver imaging for diagnosing portal hypertension the key is to visualize both the portal vein and a hepatic vein at the same depth to minimize the impact of attenuation (Figure 1).

Dyskusje

Noninvasive, accurate measurement of pressures within the human body has long been an important but elusive clinical goal. The protocol for SHAPE measurements presented here achieves this goal. The most critical component of the SHAPE procedure is the optimization algorithm, since subharmonic data not acquired at the optimal acoustic power output will correlate poorly with hydrostatic pressures.17,22,23 The initial version ...

Ujawnienia

Drs. Forsberg, Gupta, Wallace and Eisenbrey have a patent pending on the SHAPE technology. Dr. Wallace is an employee of GE.

Podziękowania

This work is supported in part by the U.S. Army Medical Research Material Command under W81XWH-08-1-0503, and W81XWH-12-1-0066, by AHA grants no 0655441U and 15SDG25740015 as well as by NIH R21 HL081892, R21 HL130899, R21 HL089175, RC1 DK087365, R01 DK098526, R01 DK118964, R01 CA140338, R01 CA234428, by Lantheus Medical Imaging and by GE Healthcare, Oslo, Norway.

Materiały

NameCompanyCatalog NumberComments
2 mL syringeBecton Dickinson309637Used for reconstituting Sonazoid
10 mL saline-filled syringeBecton Dickinson306545Used for flushing line to verify IV access
500 mL saline bagBaxter Healthcare Corp2131323Used for co-infusion with Sonazoid
C1-6-D curvi-linear probleGE HealthcareH40472LTUsed for liver imaging
Chemoprotect SpikeCodan USAC355Chemospike used for reconstituting Sonazoid
Discofix C BlueB. Braun Medical Inc16494C3-way stopcock
Intrafix Safeset 180 cmB. Braun Medical Inc4063000Infusion tubing
Logiq E10 ultrasound scannerGE HealthcareH4928USUsed for conventional ultrasound imaging as well as for SHI and SHAPE
Luer lock 10 mL syringeBecton Dickinson300912For infusion of Sonazoid
Medfusion 3500 syringe pumpSmiths Medical3500-500Used for infusing Sonazoid at 0.18 mL/kg/hour
Perfusor-leitung tubing 150 mmB. Braun Medical Inc8722960Extension line enabling syringe connection to patient's IV access
SHI/SHAPE softwareGE HealthcareH4920CIContrast-specific imaging software
Sigma Spectrum infusion systemBaxter Healthcare Corp35700BAXPump used for co-infusing saline at 120 mL/hour
SonazoidGE HealthcareGas-filled microbubble based ultrasound contrast agent
sterile water, 2 mLB. Braun Medical IncUsed for reconstituting Sonazoid
ultrasound gelCardinal HealthUSG-250BTUsed for contact between probe and patient
Venflon IV cannula 22GABecton Dickinson393202Cannula needle for obtaining IV access

Odniesienia

  1. Lyshchik, A. . Fundamentals of CEUS. , (2019).
  2. Leighton, T. G. . The Acoustic Bubble. , (1994).
  3. Forsberg, F., Shi, W. T., Goldberg, B. B. Subharmonic imaging of contrast agents. Ultrasonics. 38 (1-8), 93-98 (2000).
  4. Forsberg, F., Piccoli, C. W., Merton, D. A., Palazzo, J. P., Hall, A. L. Breast lesions: imaging with contrast-enhanced subharmonic US - initial experience. Radiology. 244 (3), 718-726 (2007).
  5. Sridharan, A., et al. Characterizing breast lesions using quantitative parametric 3D subharmonic imaging: a multi-center study. Academic Radiology. 27 (8), 1065-1074 (2020).
  6. Forsberg, F., et al. Subharmonic and endoscopic contrast imaging of pancreatic masses: a pilot study. Journal of Ultrasound in Medicine. 37 (1), 123-129 (2018).
  7. Delaney, L. J., et al. Characterization of adnexal masses using contrast-enhanced subharmonic imaging: a pilot study. Journal of Ultrasound in Medicine. 39 (5), 977-985 (2020).
  8. Eisenbrey, J. R., et al. Contrast-enhanced subharmonic and harmonic ultrasound of renal masses undergoing percutaneous cryoablation. Academic Radiology. 22 (7), 820-826 (2015).
  9. Gupta, I., et al. Transrectal subharmonic ultrasound imaging for prostate cancer detection. Urology. 138 (4), 106-112 (2020).
  10. Shi, W. T., Forsberg, F., Raichlen, J. S., Needleman, L., Goldberg, B. B. Pressure dependence of subharmonic signals from contrast microbubbles. Ultrasound in Medicine and Biology. 25 (2), 275-283 (1999).
  11. Halldorsdottir, V. G., et al. Subharmonic contrast microbubble signals for noninvasive pressure estimation under static and dynamic flow conditions. Ultrasonic Imaging. 33 (3), 153-164 (2011).
  12. Nio, A. Q. X., et al. Optimal control of SonoVue microbubbles to estimate hydrostatic pressure. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. 67 (3), 557-567 (2020).
  13. Eisenbrey, J. R., et al. Chronic liver disease: noninvasive subharmonic aided pressure estimation of hepatic venous pressure gradient. Radiology. 268 (2), 581-588 (2013).
  14. Gupta, I., et al. Diagnosing portal hypertension with noninvasive subharmonic pressure estimates from an ultrasound contrast agent. Radiology. , (2020).
  15. Nam, K., et al. Monitoring neoadjuvant chemotherapy for breast cancer by using three-dimensional subharmonic aided pressure estimation and imaging with US contrast agents: preliminary experience. Radiology. 285 (1), 53-62 (2017).
  16. Dave, J. K., et al. Non-invasive intra-cardiac pressure measurements using subharmonic-aided pressure estimation: proof of concept in humans. Ultrasound in Medicine and Biology. 43 (11), 2718-2724 (2017).
  17. Esposito, C., Dickie, K., Forsberg, F., Dave, J. K. Developing an interface and investigating optimal parameters for real-time intra-cardiac subharmonic aided pressure estimation. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control. , (2020).
  18. Bosch, J., Groszmann, R. J., Shah, V. H. Evolution in the understanding of the pathophysiological basis of portal hypertension: How changes in paradigm are leading to successful new treatments. Journal of Hepatology. 62, 121-130 (2015).
  19. Procopet, B., Berzigotti, A. Diagnosis of cirrhosis and portal hypertension: imaging, non-invasive markers of fibrosis and liver biopsy. Gastroenterology Report. 5 (2), 79-89 (2017).
  20. Dietrich, C. F., et al. 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 in Medicine and Biology. , (2020).
  21. Gupta, I., et al. Effect of pulse shaping on subharmonic aided pressure estimation in vitro and in vivo. Journal of Ultrasound in Medicine. 36 (1), 3-11 (2017).
  22. Dave, J. K., et al. On the implementation of an automated acoustic output optimization algorithm for subharmonic aided pressure estimation. Ultrasonics. 53 (4), 880-888 (2013).
  23. Gupta, I., Eisenbrey, J. R., Machado, P., Stanczak, M., Wallace, K., Forsberg, F. On factors impacting subharmonic- aided pressure estimation (SHAPE). Ultrasonic Imaging. 41 (1), 35-48 (2019).
  24. Eisenbrey, J. R., Daecher, A., Kramer, M. R., Forsberg, F. Effects of needle and catheter size on commercially available ultrasound contrast agents. Journal of Ultrasound in Medicine. 34 (11), 1961-1968 (2015).

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