Clinical and Economic Evidence Supporting the Value of Fluorescence Imaging of Bacteria in Wound Care
Abstract
1. Introduction
2. Clinical Concerns and Challenges with Wound Infection
3. Clinical Challenges with the Detection of Bacteria in Wounds
4. Cost and Economic Burden of Wound Care Needed When Wounds Are Infected
5. Use of Fluorescence Imaging to Improve Wound Bacteria Detection
6. MolecuLight Has Developed Two POC Wound Imaging Devices
7. US Food and Drug Administration (FDA) 510 (k) Clearance for MolecuLight
- ○
- 191371: Enables real time POC visualization of fluorescence in wounds, and measures wounds and digitally records all images and area measurements. The MolecuLight i:X™ fluorescence image, when used in combination with CSS, has been shown to increase the likelihood that clinicians can identify wounds containing bacterial loads of >104 CFU/g as compared to examination of CSS alone [52].
- ○
- K210882: Identify areas of wounds containing more bacterial species, including key target pathogens of interest to the CDC that are major causes of antimicrobial resistance. Detectable species include Gram-negative and Gram-positive species, aerobes and anaerobes [53].
- ○
- K213840: Identify areas of wounds containing more bacterial species, including key target pathogens of interest to the CDC that are major causes of antimicrobial resistance. Detectable species include Gram-negative and Gram-positive species, aerobes and anaerobes [54].
- ○
- K211901: The proposed MolecuLightDX™ is considered to be substantially equivalent to the MolecuLight i:X® predicate device (K191371) [55].
8. Brief Summary of Attributes and Benefits of MolecuLight FLI Technology
- Provides a safe, objective, highly sensitive, and easy-to-use portable device to identify clinically significant wound bacterial burden and tissue viability in real-time at the bedside, increasing accessibility and clinical adoption.
- Augments traditional wound evaluation methods by providing objective, visual biomarkers that aid early intervention, guide treatment, and monitor healing progress.
- Delineates wound margins and necrotic areas, assisting in debridement and treatment planning.
- Facilitates early detection and removal of bacterial load to reduce wound infection and allow for faster wound healing.
- Allows better treatment monitoring by imaging changes in fluorescence over time; clinicians can assess response to interventions such as antibiotics or dressings.
- Measures wound area (length and width), allowing clinicians to digitally measure a wound, save the measurement, save the bacteria location, and allow access to images longitudinally to assess wound healing.
- Supports documentation for wound monitoring and reimbursement as part of an individualized treatment plan.
- Utilizes information to manage bacterial burden and more effectively use skin substitutes/CTPs and other adjunctive treatment modalities.
9. Overview of Procedure for Bedside FLI
10. Total Time for MolecuLight Procedure
11. Delphi Panel Recommendations for Appropriate Use and Impact of FLI
- 96% of experts from the Delphi Panel indicated that use of imaging-informed treatment plans led to improved wound healing.
- >80% reported treatment plan changes.
- 78% indicated imaging reduced their rates of amputation.
- 83% reported reduced rates of microbiological sampling.
12. Competencies Needed to Perform FLI of Bacterial Burden
- International Surgical Wound Complications Advisory Panel (ISWCAP).
- 2.
- International Wound Infection Institute (IWII).
- 3.
- JWC International Consensus Document.
13. Summary of Clinical Evidence to Support FLI
14. Economic Value of Real-Time Wound FLI Technology
15. Limitations of FLI for Detection of Wound Bacterial Infections
- FLI requires appropriate darkness to capture optimal fluorescence images. Ambient light contamination can lead to inappropriate interpretation of images. Use of a MolecuLight DarkDrape® attachment can provide the required darkness to perform FLI properly.
- Accurate fluorescence image interpretation has a learning curve. New users of the technology may find it challenging to differentiate the cyan fluorescence from P. aeruginosa from the green fluorescence from endogenous structures. Continued use and experience with the device and utilization of image interpretation resources can help.
- Accurate assessment requires good imaging practice such as wound cleaning, removing as much blood as possible, and removing imaging artifacts from white bedsheets and gauze bandages. Blood can absorb the violet excitation light and mask other fluorescence signatures.
- Color-blind individuals cannot interpret fluorescence images accurately as a result of the high proportion of red and green colors.
- Violet excitation light cannot penetrate >1.5 mm into the skin. Some subsurface bacteria can be detected, but the presence of bacteria located deeper within the wound tissue may not be visible, including infections that are deep tunneling.
- Fluorescence signals associated with bacteria do not provide an exact numerical estimate for the bacterial load in a wound other than indicating it is above the chronic inhibitory bacterial load, which is considered the tipping point between requiring vigilance of the wound to requiring intervention to address the bacterial load.
- Aside from Pseudomonas, fluorescence signals associated with bacteria cannot determine the specific bacterial species within the wound or the antibiotic susceptibility of these microorganisms. Toward that end, swab or tissue sample microbiological analysis is needed.
- Most chronic wound infections are polymicrobial.
- A small subset of bacteria are not detectable with FLI. These include Streptococcus and Enterococcus species.
- To guarantee optimal recovery from all bacteria, collected swab samples should be transferred for microbiological analysis, typically within 4 h.
16. Other FLI Technologies Under Development
17. Summary
- Results in positive prediction of the presence of bacteria at potentially harmful levels, thus reducing the risk of errors in sampling with image-guided curettage or biopsy [43].
- Improves ability to monitor surgical sites, which may reduce the rate of surgical site infections and its sequelae [60].
- Results in informed diagnoses and frequent, r.zeal-time treatment plan changes post-imaging that better align with wound needs [46].
- Guides the placement of skin substitutes for optimal graft take, thus reducing wastage and overuse of expensive wound treatment technologies [14].
Author Contributions
Funding
Acknowledgments
Conflicts of Interest
References
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Method | Strengths | Limitations | |
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Visual assessment | Clinical signs and symptoms | Simple |
|
Microbiological analysis | Swab culture (e.g, Levine) | Non-invasive, simple, inexpensive |
|
Tissue biopsy | Gold standard for bacterial quantification |
| |
Quantitative culture |
| ||
Histopathology | Histology Immunohistochemistry | Assesses tissue morphology and bacterial presence |
|
Assay to detect molecular or biochemical markers | Bacterial DNA, MMPs, inflammatory cytokines | Rapid, highly sensitive |
|
Advanced diagnostic imaging | Fluorescent imaging |
|
|
Biosensors | Detect pH, temperature, oxygen |
|
|
Smart dressings | Microbial enzymes or toxins | High sensitivity |
|
Biofilm Detection | Enables targeted debridement and topical therapies early, reducing chronicity and promoting healing |
|
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Country | Study Type/Design | Findings | ||
---|---|---|---|---|
Mixed Chronic Wounds | ||||
USA | Prospective real-world study (N = 1447) Trafelet, N., et al., 2024 [29] |
| ||
USA | Post-hoc analysis from a prospective cohort trial (N = 350) Johnson, J., et al., 2024 [58] | Evaluated diagnostic accuracy of MolecuLight imaging across skin tones.
| ||
USA | Multi-center prospective single-blind cohort trial (N = 350) Le, L., et al., 2021 [1] |
| ||
Germany | Prospective clinical study (N = 151) Moelleken, M., et al., 2024 [59] |
| ||
Ireland | Prospective 2-week study (N = 27) Derwin, R., et al., 2023 [19] |
| ||
USA | Quantitative comparative study (N = 71) Oropallo, A., et al., 2024 [60] |
| ||
Ireland | Prospective single blind observational study (N = 33) Hurley, C.M., et al., 2019 [42] |
| ||
Canada | Prospective validation trial (N = 28) Raizman, R., et al., 2021 [43] |
| ||
USA | Prospective observational study (N = 11) Cole, W., Coe, S. 2020 [18] |
| ||
USA | Retrospective single time-point, large scale observational study (N = 1000) Jacob, A., et al., 2023 [40] |
| ||
Taiwan | Single center retrospective analysis (N = 33) Li, T-H., et al., 2025 [61] |
| ||
UK | Literature review Farhan, N. Jeffery, S. 2021 [22] |
| ||
USA | Literature review Caputo, W.K., et al., 2022 [28] |
| ||
Diabetic Foot Ulcers (DFUs) | ||||
UK | 12-week, prospective, double-blinded randomized controlled trial (N = 56) Rahma, S., et al., 2022 [62] | DFU healing rate in those with positive FLI and those with SOC assessment showed:
| ||
USA | Post-hoc analysis of prospective cohort trial (N = 138) Armstrong, D.G., et al., 2023 [4] |
| ||
USA | Prospective pilot study (N = 11) Ai-Jalodi, O., et al., 2021 [9] |
| ||
UK | Retrospective pre/post intervention cohort outcomes study (N = 229) Price, N. 2020 [63] |
| ||
Canada | Non-randomized clinical trial (N = 33) Ottolino-Perry, K., et al., 2017 [64] |
| ||
CSS | FLI | |||
Sensitivity | 73% | 78% | ||
Specificity | 38% | 78% | ||
PPV | 44% | 64% | ||
NPV | 67% | 88% | ||
Pressure Wounds | ||||
USA | Retrospective pre/post-interventional cohort study (N = 167) Kelso, M., Jaros, M. 2024 [65] |
| ||
Lower Leg Extremity Wounds | ||||
USA | Prospective observational case studies of patients with cellulitis (N = 15 of 236) Andersen, A., et al., 2022 [50] |
| ||
Canada | Single-blind clinical validation trial (N = 60) Rennie, M.Y., et al., 2017 [38] |
| ||
Germany | Prospective clinical study (N = 25) Moelleken, M., et al., 2020 [66] |
| ||
Perineal Wounds | ||||
UK | Post-hoc analysis of prospective observational study (N = 55) Okeahialam, N.A., et al., 2022 [67] |
| ||
UK | Prospective validation study (N = 80) Okeahialam, N.A., et al., 2023 [68] |
| ||
Burn Wounds | ||||
Mexico | Prospective outcomes analysis (N = 38) Hanson-Viana, E., et al., 2024 [10] |
| ||
Canada | Retrospective review (N = 178) Turner, E., et al., 2024 [69] | Incorporation of FLI in standard pediatric burn wound assessments can improve the detection of infections, which may promote improved wound healing outcomes and antimicrobial stewardship.
| ||
Surgical Site Wounds | ||||
USA | Post-hoc analysis of prospective clinical trial (N = 58) Sandy-Hodgetts, K., et al., 2022 [54] |
|
Study | Country | Study Type/Design | Findings |
---|---|---|---|
Routine fluorescence imaging to detect wound bacteria reduces antibiotic use and antimicrobial dressing expenditure while improving healing rates: retrospective analysis of 229 foot ulcers Price, N. 2020 [63] | UK | Retrospective pre/post-implementation cohort study of patients with diabetic foot ulcers |
|
Utility of MolecuLight i:X for managing bacterial burden in pediatric burns (N = 16) Farhan, N. Jeffery, S., 2020 [75] | UK | Observational study |
|
Use of a fluorescence imaging device to detect elevated bacterial loads, enhance antimicrobial stewardship, and increase communication across inpatient complex wound care teams DasGupta, T., et al. 2022 [76] | Canada | Prospective implementation study at two hospital inpatient sites | FLI supports more judicious prescribing and decreases the use of antimicrobial agents or antibiotics when warranted.
|
Can fluorescence imaging predict the success of CTPs for wound closure and save costs? Aung, B. 2019 [77] | USA |
| |
Diagnosis and treatment of the invasive extension of bacteria (cellulitis) from chronic wounds utilizing point-of-care fluorescence imaging Andersen, C.A. 2022 [50] | USA | Typical course of treatment for cellulitis often includes intravenous antibiotics and a hospital stay of several days.
|
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© 2025 by the authors. Published by MDPI on behalf of the Market Access Society. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
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Johnson, J.; Bohn, G. Clinical and Economic Evidence Supporting the Value of Fluorescence Imaging of Bacteria in Wound Care. J. Mark. Access Health Policy 2025, 13, 48. https://doi.org/10.3390/jmahp13040048
Johnson J, Bohn G. Clinical and Economic Evidence Supporting the Value of Fluorescence Imaging of Bacteria in Wound Care. Journal of Market Access & Health Policy. 2025; 13(4):48. https://doi.org/10.3390/jmahp13040048
Chicago/Turabian StyleJohnson, Jonathan, and Gregory Bohn. 2025. "Clinical and Economic Evidence Supporting the Value of Fluorescence Imaging of Bacteria in Wound Care" Journal of Market Access & Health Policy 13, no. 4: 48. https://doi.org/10.3390/jmahp13040048
APA StyleJohnson, J., & Bohn, G. (2025). Clinical and Economic Evidence Supporting the Value of Fluorescence Imaging of Bacteria in Wound Care. Journal of Market Access & Health Policy, 13(4), 48. https://doi.org/10.3390/jmahp13040048