Real-Time Diagnosis of Life-Threatening Necrotizing Soft Tissue Infections (NSTI) Using Indocyanine Green (ICG) Kinetic Modeling

March 17, 2026 updated by: Eric R. Henderson
Necrotizing soft-tissue infections (NSTIs, a.k.a. "necrotizing fasciitis" or "flesh-eating bacteria") are aggressive infections that can progress rapidly from mild symptoms to sepsis, multi-organ failure, and death. NSTI cases present with non-specific clinical, imaging, and laboratory findings, and standard-of-care techniques for NSTI diagnosis lack sensitivity and specificity, resulting in frequent misdiagnosis and delayed care, which is the single most important predictor of survival. Consequently, the cumulative mortality rate for patients with NSTIs is 20- 30%; a dire need exists for more accurate and rapid detection of NSTIs. Fluorescence-guided surgery is a nascent technology seeking to improve the recognition of anatomical structures and disease processes using fluorescent probes (fluorophores). Indocyanine green (ICG) is an FDA-approved, near-infrared fluorophore with a >60-year safety record for vascular perfusion assessment. A distinguishing histological feature of NSTIs is prominent blood vessel thrombosis in affected tissues. Leveraging these pro-thrombotic effects, our study group has demonstrated in a first-in-human study (NCT04839302) that intravenous administration of ICG and immediate fluorescence imaging reveals prominent signal deficits in NSTI-positive tissues that differentiate significantly with increased signal seen with more common-and less virulent-infections such as cellulitis. We seek now to evaluate this imaging technique on a broader scale and determine if our findings are consistent for patients affected by NSTI-causing pathogens that are not endemic to our region. This prospective, observational, multicenter clinical study will involve video-rate ICG fluorescence imaging of patients suspected of having NSTIs who present to eight tertiary, Level 1 medical centers across the United States (Aim 1). Using dynamic contrast-enhanced fluorescence imaging (DCE-FI), time profiles of ICG fluorescence intensity from different tissue pixels/regions will be extracted and parameterized to extract first-pass kinetic features. These DCE-FI features, which characterize tissue perfusion, will be evaluated alone and in combination with anonymized electronic medical record data to create a DCE-FI-based clinical decision tool and a machine- learning-based fusion (DCE FI+lab/imaging data) tool; these will be compared to identify the most accurate means of diagnosing NSTIs (Aim 2). The best-performing tool will then be evaluated-compared to current diagnostic tests-in a prospective observational clinical study of patients presenting to tertiary emergency departments with findings concerning for NSTIs (Aim 3). Based on our human study, fluorescence imaging will not delay current standard of care. To ensure data fidelity, all sites will use similar: 1) commercial fluorescence imaging systems and accessories; and 2) validated commercial fluorescence reference phantoms. Based on our early results, we have strong confidence that following rigorous testing, ICG DCE-FI will lead to an entirely new methodology for rapid identification of patients with NSTIs, which will ultimately reduce patient morbidity and improve survival.

Study Overview

Study Type

Observational

Enrollment (Estimated)

420

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Study Contact Backup

Study Locations

    • California
      • Los Angeles, California, United States, 90095
        • Not yet recruiting
        • University of California, Los Angeles
        • Principal Investigator:
          • Christopher Lee, MD
        • Contact:
        • Sub-Investigator:
          • Nicholas Bernthal, MD
      • Stanford, California, United States, 94305
        • Recruiting
        • Stanford University
        • Principal Investigator:
          • Joseph Forrester, MD
        • Contact:
        • Sub-Investigator:
          • Ariel Knight, MD
    • Georgia
      • Atlanta, Georgia, United States, 30322
        • Recruiting
        • Emory University/Grady Memorial Hospital
        • Contact:
        • Principal Investigator:
          • Jaimo Ahn, MD, PhD
    • Michigan
      • Ann Arbor, Michigan, United States, 48104
        • Recruiting
        • University of Michigan
        • Contact:
        • Principal Investigator:
          • Molly Hunter, MD
        • Principal Investigator:
          • Raymond Jean, MD
    • New Hampshire
      • Lebanon, New Hampshire, United States, 03756
        • Recruiting
        • Dartmouth-Hitchcock Medical Center
        • Contact:
        • Sub-Investigator:
          • Jonathan Elliot, PhD
        • Sub-Investigator:
          • Samuel S Streeter, PhD
        • Sub-Investigator:
          • Macgregor Montano, PharmD
        • Sub-Investigator:
          • Scott Rodi, MD
        • Principal Investigator:
          • Eric R Henderson, MD
    • Pennsylvania
      • Philadelphia, Pennsylvania, United States, 19104
        • Recruiting
        • University of Pennsylvania
        • Contact:
        • Principal Investigator:
          • Niels Martin, MD, PhD
        • Sub-Investigator:
          • Sunil Singhal, MD, PhD
        • Sub-Investigator:
          • Jane Keating, MD
      • Pittsburgh, Pennsylvania, United States, 15213
        • Not yet recruiting
        • University of Pittsburgh Medical Center
        • Contact:
        • Principal Investigator:
          • Kurt Weiss, MD
    • Tennessee
      • Nashville, Tennessee, United States, 37235
        • Recruiting
        • Vanderbilt University
        • Contact:
        • Principal Investigator:
          • Jonathan Schoenecker, MD, PhD
        • Sub-Investigator:
          • William Obremskey, MD
        • Sub-Investigator:
          • Eben Rosenthal, MD

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients presenting to the ED or clinic who are considered at intermediate- or high-risk for NSTI.

Description

Inclusion Criteria:

  • Age ≥18 years.
  • Clinical suspicion of NSTI based on the local standard of care warranting:
  • Hospital admission for observation due to suspected NSTI; and/or
  • Soft tissue biopsy to rule in/out suspected NSTI; and/or
  • Surgical debridement for suspected NSTI; and/or
  • Specific institutional threshold criteria for triggering NSTI work-up; and
  • Ability to give written informed consent.

Exclusion Criteria:

  • History of allergy to ICG and/or iodine.
  • Pregnant women or nursing mothers.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Determine if tissue perfusion, determined by first-pass ICG fluorescence kinetics, is reliably reduced in the setting of a necrotizing infection compared to a non-necrotizing infection.
Time Frame: From enrollment to the end of fluorescence imaging (about 1 day)
We will evaluate first-pass fluorescence signal intensity changes from indocyanine green (ICG), a vascular perfusion fluorophore, in the setting of severe soft-tissue infections to determine if ICG fluorescence may be an accurate and reliable diagnostic test for differentiating life-threatening necrotizing infections from non-life-threatening non-necrotizing infections.
From enrollment to the end of fluorescence imaging (about 1 day)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Determine if first-pass ICG fluorescence kinetics in patients with necrotizing infections vary based on the causative bacterial species.
Time Frame: From enrollment to the end of imaging and lab results (about 30 days)
In patients who had a documented necrotizing soft-tissue infection, we will compare first-pass fluorescence signal intensity changes from ICG based on the predominant causative bacterial species isolated from a patient's infection to determine if ICG signal changes vary by species.
From enrollment to the end of imaging and lab results (about 30 days)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

September 26, 2025

Primary Completion (Estimated)

June 1, 2030

Study Completion (Estimated)

July 1, 2030

Study Registration Dates

First Submitted

March 10, 2025

First Submitted That Met QC Criteria

March 10, 2025

First Posted (Actual)

March 14, 2025

Study Record Updates

Last Update Posted (Actual)

March 19, 2026

Last Update Submitted That Met QC Criteria

March 17, 2026

Last Verified

March 1, 2026

More Information

Terms related to this study

Other Study ID Numbers

  • 02002719
  • 1R01AI184513-01 (U.S. NIH Grant/Contract)

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

IPD Plan Description

Data will only be shared in aggregate.

Drug and device information, study documents

Studies a U.S. FDA-regulated device product

No

product manufactured in and exported from the U.S.

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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