ClinicalTrials.gg
Not yet recruitingNCT07645599MUST-DUpdated Jun 12, 2026

Microvasculature Ultrasound Super-resolution in Transplant Delayed Graft Function

An observational study in End Stage Chronic Renal Failure, Renal Transplant and Microvascular Changes, sponsored by Roderick Tan. Not yet recruiting at 1 site in United States. Open to participants aged 18 Years and older. Per ClinicalTrials.gov, last updated 2026-06-12.

Sponsored by Roderick Tan · Observational

Study type
Observational
Model
Cohort
Time perspective
Prospective
Enrollment
40
Ages
18 Years and older
Sex
All
01

Study summary

This pilot study is testing a new ultrasound imaging method called Super-Resolution Ultrasound (SRU) to look at blood flow and tiny blood vessels in transplanted kidneys in very detailed images after kidney transplant surgery. The goal is to see whether changes in the kidney's small blood vessels can help predict how well the transplanted kidney will work early after transplant, including whether delayed graft function may occur.

Investigators hope this technique can become a safe, noninvasive way to evaluate transplanted kidneys without needing as many invasive biopsies. It may also help doctors better assess donor kidneys at higher-risk of suboptimal functioning.

Read the detailed description

Specific Aim 1: Utilize super-resolution ultrasound (SRU) to analyze tiny blood vessels in transplanted kidneys under very detailed imaging and evaluate kidney allografts and predict post-transplantation function.

Delayed graft function (DGF) is a common complication that can happen soon after a kidney transplant and may lead to longer recovery times and other health problems. Kidney biopsies are typically required to find the cause, which are invasive procedures. Current imaging tests cannot clearly show the tiny blood vessel changes inside the transplanted kidney that may contribute to the development of DGF.

Hypothesis: Investigators hypothesize that SRU can noninvasively predict DGF outcomes by measuring changes in the structure of tiny kidney blood vessels and the blood flow within them.

Approach:

Aim 1a: Compare SRU-derived measures of renal microvasculature-including microvascular density, tortuosity, and cortical perfusion-between patients who develop DGF and those with uncomplicated graft function.

Aim 1b: Correlate SRU parameters with clinical outcomes at 30 and 90 days post-transplant, as determined from inpatient and outpatient data within the electronic medical record.

Experimental Plan. Allograft SRU will be performed in 20 renal allograft recipient patients up to 14 days after transplant (n=10 with DGF, n=10 without DGF). Patients will be identified and recruited from within UPMC. After injection with Definity, SRU images and measurements will be obtained as described elsewhere in this protocol. Measures are noninvasive, with the transducer applied to the body surface over the allograft. Measurements will be compared between the two groups, and correlations made with eGFR at 30 and 90 days, total days of dialysis, resistive indices, and interstitial fibrosis/tubular atrophy (IFTA) on the standard 3-month protocol biopsy.

Anticipated Results, Potential Pitfalls, and Future Directions. Investigators expect that renal blood volume and microvessel density will be higher in patients with functioning grafts, and that these parameters will be positively correlated with better outcomes, demonstrating that SRU is a promising and noninvasive prognostic tool.

Expected Outcomes and Impact: Investigators anticipate that SRU will identify microvascular densities predictive of DGF, providing a novel, noninvasive biomarker to guide post-transplant management. Successful completion of this aim will establish SRU as a clinically useful tool to reduce reliance on invasive biopsy and improve early allograft evaluation.

Specific Aim 2: Utilize super-resolution ultrasound (SRU) to evaluate early microvascular changes in high-KDPI kidneys up to 14 days after transplantation to predict early graft function.

Rationale: Donor kidneys with a high Kidney Donor Profile Index (KDPI) are often discarded due to their perceived risk of poor function, despite limited physiologic data on their microvascular integrity. Early post-transplant microvascular alterations may serve as critical indicators of graft viability and short-term function.

Hypothesis: Investigators hypothesize that SRU-detected microvascular changes occurring within the first 48 hours after transplantation can predict early transplanted kidney function and distinguish between high- and low-KDPI kidneys.

Experimental Plan:

Investigators will perform SRU imaging within 14 days of transplantation in kidney allograft recipients, using the same SRU parameters described in Aim 1. Investigators will compare SRU-derived measures such as structure, size, characteristics, and blood flow -between two groups: recipients of high-risk kidneys (KDPI >75; n = 10) and recipients of more optimal kidneys (KDPI \<35; n = 10). SRU findings will be correlated with key clinical outcomes, including the incidence of delayed graft function (DGF), need for dialysis, measures of kidney function at 30 and 90 day marks, and the degree of scarring of the functional units of the kidney observed on 90-day protocol biopsies.

Anticipated Results, Potential Pitfalls, and Future Directions:

Investigators anticipate that kidneys with higher KDPI values will demonstrate reduced vascular density and perfusion within 48 hours post-transplant, and that these findings will correlate with inferior 30- and 90-day outcomes. If no significant differences or correlations are observed, investigators will reconsider the utility of the 48-hour timepoint in future studies or examine whether recipient-specific factors (e.g., age, hemodynamic status, blood pressure) influence SRU measurements. Findings from this aim will inform whether SRU can serve as an early, noninvasive measurement of transplanted kidney quality and may challenge current allocation practices that exclude high-KDPI kidneys (high-risk of suboptimal functioning kidneys)

02

Conditions studied

  • End Stage Chronic Renal Failure
  • Renal Transplant
  • Microvascular Changes
  • Microvascular Circulation

Keywords

  • renal allograft
  • kidney allograft
  • kidney transplant
  • super-resolution ultrasound
  • lipid microspheres
  • renal microvasculature
  • kidney microvasculature
  • delayed graft function
  • Kidney Donor Profile Index
  • deceased donor kidney transplant
03

In context

Renal Insufficiency, Chronic

3,090 studies on the registry are indexed under Renal Insufficiency, Chronic; 698 are open to participants now.

This study's planned enrollment of 40 is below the median of 213 across 834 observational studies indexed under Renal Insufficiency, Chronic.

Browse Renal Insufficiency, Chronic studies →

Lead sponsor

This is the only study on the registry with Roderick Tan as lead sponsor.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
No
Sampling method
Non-probability sample

Study population

Adult patients with end stage kidney disease who are receiving deceased donor kidney allograft transplants who meet the inclusion and exclusion criteria

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

For stage 1 of the study:

  1. We will enroll patients ≥18 years of age
  2. Patients who received a kidney transplant 2a. Patients requiring dialysis in the first 14 days after transplant 2b. Patients with working allografts not requiring dialysis (control group)

For stage 2 of the study

  1. We will enroll patients at least 18 years of age or older
  2. Patients who received a kidney transplant 2a. Patients who received kidney transplants from low KDPI kidneys (KDPI \< 35) 2b. Patients who received kidney transplants from high KDPI kidneys (KDPI > 75)

Exclusion criteria

Exclusion Criteria:

  1. > 40
  2. Inability to provide
  3. Pregnant woman
  4. Breastfeeding women
  5. to perfluten lipid microsphere and components including polyethylene glycol (PEG)
  6. Unstable cardiopulmonary condition (acute myocardial infarction, acute coronary artery symptoms, worsening or unstable congestive heart failure, serious ventricular arrhythmias).
  7. Known history of cardiac shunts
  8. Patients who have known sickle cell disease or trait
Terms in these criteria, in plain language(3)

Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.

BMI (body mass index)

Weight in kilograms divided by height in metres squared. Example: 70 kg and 1.75 m gives 70 ÷ (1.75 × 1.75) ≈ 22.9.

What counts as overweight or obesity differs between countries (some use lower cut-offs), so go by the range the study states.

Informed consent

Before you join, the study team explains what taking part involves — its purpose, what happens, the risks and possible benefits — and answers your questions, so you can decide freely. Consent is usually recorded on a form (the informed consent form, ICF) signed by you or, where the law allows, by someone legally authorised to decide for you.

You can keep asking questions during the study, you are told of new information that matters, and you can choose to leave at any time.

Hypersensitivity

An allergy, or another reaction of the immune system, to a substance. “Hypersensitivity to the study drug” means a known allergic reaction to it — not every side effect a medicine can have.

05

Study design

Observational model
Cohort
Time perspective
Prospective
Enrollment
40 participants (estimated)
Target follow-up
3 Years
Patient registry
Yes

Groups and cohorts

  • High KDPI

    Adult end stage kidney disease patients who received a recent deceased donor kidney transplant with High KDPI allografts

    Diagnostic Test: Ultrasound contrast agent (Contrast-enhanced ultrasound) · Drug: Optison (Perflutren Protein-Type A Microspheres Injectable Suspension) · Drug: Lumason® contrast agent · Drug: DEFINITY®

  • Low KDPI

    Adult end stage kidney disease patients who received a recent deceased donor kidney transplant with Low KDPI allografts

    Diagnostic Test: Ultrasound contrast agent (Contrast-enhanced ultrasound) · Drug: Optison (Perflutren Protein-Type A Microspheres Injectable Suspension) · Drug: Lumason® contrast agent · Drug: DEFINITY®

  • Delayed Graft Function

    Adult end stage kidney disease patients who received a recent deceased donor kidney transplant who require renal replacemen therapy within 2 weeks after transplant.

    Diagnostic Test: Ultrasound contrast agent (Contrast-enhanced ultrasound) · Drug: Optison (Perflutren Protein-Type A Microspheres Injectable Suspension) · Drug: Lumason® contrast agent · Drug: DEFINITY®

  • Non-delayed Graft Function

    Adult end stage kidney disease patients who received a recent deceased donor kidney transplant who do not require renal replacemen therapy within 2 weeks after transplant.

    Diagnostic Test: Ultrasound contrast agent (Contrast-enhanced ultrasound) · Drug: Optison (Perflutren Protein-Type A Microspheres Injectable Suspension) · Drug: Lumason® contrast agent · Drug: DEFINITY®

Interventions

  • Diagnostic testUltrasound contrast agent (Contrast-enhanced ultrasound)

    Super-resolution ultrasound using lipid microsphere contrast

  • Approved drug or biologic being evaluated for a new indication, population, route of administration, or dosage level not specified in the FDA approved labeling for kidney imaging.

  • DrugLumason® contrast agent

    Approved drug or biologic being evaluated for a new indication, population, route of administration, or dosage level not specified in the FDA approved labeling for kidney imaging.

  • Approved drug or biologic being evaluated for a new indication, population, route of administration, or dosage level not specified in the FDA approved labeling for kidney imaging.

06

What researchers measure

Primary outcomes

  1. Kidney vascularity

    Assessment of total renal vascularity and measures of perfusion. Images obtained with the kidney ultrasound will be analyzed for total number of blood vessels and blood perfusion detected in different regions of the kidney.

    Time frame: Less than 30 minutes

Secondary outcomes

  1. Kidney blood vessel tortuosity

    While the total number of blood vessels may differ between subjects, it is also possible that the number of blood vessel branches may be different.

    Time frame: up to 30 minutes

07

Study locations

1 site
  • University of Pittsburgh Medical Center
    Pittsburgh, Pennsylvania 15213, United States
    • George F Viriya, MD · Contactgviriya@gmail.com · 9177480056
    • Roderick J Tan, MD, PHD · Contacttanrj@upmc.edu · 4126244008
    • Kang Kim, PHD · Sub investigator
    • George F Viriya, MD · Sub investigator
    • Roderick J Tan, MD, PHD · Principal investigator
    • Mohit Madken, MD · Sub investigator
    • Jihoon Park, MD, PHD · Sub investigator
08

References and documents

Publications

  • Steegh FM, Gelens MA, Nieman FH, van Hooff JP, Cleutjens JP, van Suylen RJ, Daemen MJ, van Heurn EL, Christiaans MH, Peutz-Kootstra CJ. Early loss of peritubular capillaries after kidney transplantation. J Am Soc Nephrol. 2011 Jun;22(6):1024-9. doi: 10.1681/ASN.2010050531. Epub 2011 May 12. PubMed 21566051 ↗
  • Aubert O, Reese PP, Audry B, Bouatou Y, Raynaud M, Viglietti D, Legendre C, Glotz D, Empana JP, Jouven X, Lefaucheur C, Jacquelinet C, Loupy A. Disparities in Acceptance of Deceased Donor Kidneys Between the United States and France and Estimated Effects of Increased US Acceptance. JAMA Intern Med. 2019 Oct 1;179(10):1365-1374. doi: 10.1001/jamainternmed.2019.2322. PubMed 31449299 ↗
  • van der Windt DJ, Mehta R, Jorgensen DR, Bou-Samra P, Hariharan S, Randhawa PS, Sood P, Molinari M, Wijkstrom M, Ganoza A, Tevar AD. Donor acute kidney injury and its effect on 1-year post-transplant kidney allograft fibrosis. Clin Transplant. 2020 Feb;34(2):e13770. doi: 10.1111/ctr.13770. Epub 2020 Feb 11. PubMed 31829462 ↗
  • Naesens M, Heylen L, Lerut E, Claes K, De Wever L, Claus F, Oyen R, Kuypers D, Evenepoel P, Bammens B, Sprangers B, Meijers B, Pirenne J, Monbaliu D, de Jonge H, Metalidis C, De Vusser K, Vanrenterghem Y. Intrarenal resistive index after renal transplantation. N Engl J Med. 2013 Nov 7;369(19):1797-806. doi: 10.1056/NEJMoa1301064. PubMed 24195547 ↗
  • Chen Q, Yu J, Lukashova L, Latoche JD, Zhu J, Lavery L, Verdelis K, Anderson CJ, Kim K. Validation of Ultrasound Super-Resolution Imaging of Vasa Vasorum in Rabbit Atherosclerotic Plaques. IEEE Trans Ultrason Ferroelectr Freq Control. 2020 Aug;67(8):1725-1729. doi: 10.1109/TUFFC.2020.2974747. Epub 2020 Feb 18. PubMed 32086204 ↗
  • Horbelt M, Lee SY, Mang HE, Knipe NL, Sado Y, Kribben A, Sutton TA. Acute and chronic microvascular alterations in a mouse model of ischemic acute kidney injury. Am J Physiol Renal Physiol. 2007 Sep;293(3):F688-95. doi: 10.1152/ajprenal.00452.2006. Epub 2007 Jul 11. PubMed 17626153 ↗
  • Sharma N, Mahajan A, Qazi YA. Marginal kidney transplantation: the road less traveled. Curr Opin Organ Transplant. 2019 Feb;24(1):92-96. doi: 10.1097/MOT.0000000000000603. PubMed 30507708 ↗
  • Hall IE, Schroppel B, Doshi MD, Ficek J, Weng FL, Hasz RD, Thiessen-Philbrook H, Reese PP, Parikh CR. Associations of deceased donor kidney injury with kidney discard and function after transplantation. Am J Transplant. 2015 Jun;15(6):1623-31. doi: 10.1111/ajt.13144. Epub 2015 Mar 11. PubMed 25762442 ↗
  • Yamamoto T, Tada T, Brodsky SV, Tanaka H, Noiri E, Kajiya F, Goligorsky MS. Intravital videomicroscopy of peritubular capillaries in renal ischemia. Am J Physiol Renal Physiol. 2002 Jun;282(6):F1150-5. doi: 10.1152/ajprenal.00310.2001. PubMed 11997332 ↗
  • Molitoris BA. Therapeutic translation in acute kidney injury: the epithelial/endothelial axis. J Clin Invest. 2014 Jun;124(6):2355-63. doi: 10.1172/JCI72269. Epub 2014 Jun 2. PubMed 24892710 ↗
  • Cao W, Cui S, Yang L, Wu C, Liu J, Yang F, Liu Y, Bin J, Hou FF. Contrast-Enhanced Ultrasound for Assessing Renal Perfusion Impairment and Predicting Acute Kidney Injury to Chronic Kidney Disease Progression. Antioxid Redox Signal. 2017 Dec 10;27(17):1397-1411. doi: 10.1089/ars.2017.7006. Epub 2017 Aug 22. PubMed 28715949 ↗
  • Wang HK, Chou YH, Yang AH, Chiou SY, Chiou HJ, Wu TH, Loong CC, Chang CY. Evaluation of cortical perfusion in renal transplants: application of quantified power Doppler ultrasonography. Transplant Proc. 2008 Sep;40(7):2330-2. doi: 10.1016/j.transproceed.2008.06.046. PubMed 18790226 ↗
  • Jin Y, Yang C, Wu S, Zhou S, Ji Z, Zhu T, He W. A novel simple noninvasive index to predict renal transplant acute rejection by contrast-enhanced ultrasonography. Transplantation. 2015 Mar;99(3):636-41. doi: 10.1097/TP.0000000000000382. PubMed 25119133 ↗
  • Schwenger V, Korosoglou G, Hinkel UP, Morath C, Hansen A, Sommerer C, Dikow R, Hardt S, Schmidt J, Kucherer H, Katus HA, Zeier M. Real-time contrast-enhanced sonography of renal transplant recipients predicts chronic allograft nephropathy. Am J Transplant. 2006 Mar;6(3):609-15. doi: 10.1111/j.1600-6143.2005.01224.x. PubMed 16468973 ↗
  • Stenberg B, Wilkinson M, Elliott S, Caplan N. The prevalence and significance of renal perfusion defects in early kidney transplants quantified using 3D contrast enhanced ultrasound (CEUS). Eur Radiol. 2017 Nov;27(11):4525-4531. doi: 10.1007/s00330-017-4871-3. Epub 2017 Jun 7. PubMed 28593430 ↗
  • Alvarez Rodriguez S, Hevia Palacios V, Sanz Mayayo E, Gomez Dos Santos V, Diez Nicolas V, Sanchez Gallego MD, Lorca Alvaro J, Burgos Revilla FJ. The Usefulness of Contrast-Enhanced Ultrasound in the Assessment of Early Kidney Transplant Function and Complications. Diagnostics (Basel). 2017 Sep 15;7(3):53. doi: 10.3390/diagnostics7030053. PubMed 28914777 ↗
  • Chen Q, Yu J, Rush BM, Stocker SD, Tan RJ, Kim K. Ultrasound super-resolution imaging provides a noninvasive assessment of renal microvasculature changes during mouse acute kidney injury. Kidney Int. 2020 Aug;98(2):355-365. doi: 10.1016/j.kint.2020.02.011. Epub 2020 Mar 3. PubMed 32600826 ↗
  • Miller DL, Dou C, Wiggins RC. Glomerular capillary hemorrhage induced in rats by diagnostic ultrasound with gas-body contrast agent produces intratubular obstruction. Ultrasound Med Biol. 2009 May;35(5):869-77. doi: 10.1016/j.ultrasmedbio.2008.10.015. Epub 2009 Jan 18. PubMed 19152998 ↗
  • Miller DL, Dou C, Wiggins RC. Contrast-enhanced diagnostic ultrasound causes renal tissue damage in a porcine model. J Ultrasound Med. 2010 Oct;29(10):1391-401. doi: 10.7863/jum.2010.29.10.1391. PubMed 20876892 ↗
  • Jimenez C, de Gracia R, Aguilera A, Alonso S, Cirugeda A, Benito J, Regojo RM, Aguilar R, Warlters A, Gomez R, Largo C, Selgas R. In situ kidney insonation with microbubble contrast agents does not cause renal tissue damage in a porcine model. J Ultrasound Med. 2008 Nov;27(11):1607-15. doi: 10.7863/jum.2008.27.11.1607. PubMed 18946100 ↗

Individual participant data

Plan to share: Yes — Patient data such as demographics, test results, medical chart data, and data acquired from imaging including vessel density, cortical perfusion, and vessel branching.

Supporting information: Study protocol, Statistical analysis plan, Informed consent form

Time frame: June 1, 2026 until June 30, 2030

Access criteria: Researchers with ideas for studies using our data may request it from the study PI.

09

Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Jun 12, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
10

Registry details

Key details

Study ID
NCT07645599
Lead sponsor
Roderick Tan
Responsible party
Roderick Tan (Associate Professor, University of Pittsburgh) — Sponsor-investigator
First posted
Jun 12, 2026
Start date
Jun 1, 2026 (estimated)
Primary completion
Jun 30, 2028 (estimated)
Completion
Jun 30, 2028 (estimated)
Last update
Jun 12, 2026

Study contacts

Roderick J Tan, MD, PHD
Contact
Tanrj@upmc.edu
4126244008
George F Viriya, MD
Contact
viriyagf@upmc.edu

Oversight

FDA-regulated drug
Yes
FDA-regulated device
Yes
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Jun 2026. You cannot join it, but the record below documents what was studied.

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