Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection
IntroductionClinical signs and symptoms (CSS) of infection are a standard part of wound care, yet they can have low specificity and sensitivity, which can further vary due to clinician knowledge, experience, and education. Wound photography is becoming more widely adopted to support wound care. Ther...
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| Format: | Article |
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Frontiers Media S.A.
2023-08-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2023.1165281/full |
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| author | Jose L. Ramirez-GarciaLuna Mario A. Martinez-Jimenez Robert D. J. Fraser Robert D. J. Fraser Robert Bartlett Amy Lorincz Zheng Liu Gennadi Saiko Gregory K. Berry |
| author_facet | Jose L. Ramirez-GarciaLuna Mario A. Martinez-Jimenez Robert D. J. Fraser Robert D. J. Fraser Robert Bartlett Amy Lorincz Zheng Liu Gennadi Saiko Gregory K. Berry |
| author_sort | Jose L. Ramirez-GarciaLuna |
| collection | DOAJ |
| description | IntroductionClinical signs and symptoms (CSS) of infection are a standard part of wound care, yet they can have low specificity and sensitivity, which can further vary due to clinician knowledge, experience, and education. Wound photography is becoming more widely adopted to support wound care. Thermography has been studied in the medical literature to assess signs of perfusion and inflammation for decades. Bacterial fluorescence has recently emerged as a valuable tool to detect a high bacterial load within wounds. Combining these modalities offers a potential objective screening tool for wound infection.MethodsA multi-center prospective study of 66 outpatient wound care patients used hyperspectral imaging to collect visible light, thermography, and bacterial fluorescence images. Wounds were assessed and screened using the International Wound Infection Institute (IWII) checklist for CSS of infection. Principal component analysis was performed on the images to identify wounds presenting as infected, inflamed, or non-infected.ResultsThe model could accurately predict all three wound classes (infected, inflamed, and non-infected) with an accuracy of 74%. They performed best on infected wounds (100% sensitivity and 91% specificity) compared to non-inflamed (sensitivity 94%, specificity 70%) and inflamed wounds (85% sensitivity, 77% specificity).DiscussionCombining multiple imaging modalities enables the application of models to improve wound assessment. Infection detection by CSS is vulnerable to subjective interpretation and variability based on clinicians' education and skills. Enabling clinicians to use point-of-care hyperspectral imaging may allow earlier infection detection and intervention, possibly preventing delays in wound healing and minimizing adverse events. |
| first_indexed | 2024-03-12T13:31:36Z |
| format | Article |
| id | doaj.art-9474635ed0554bd2aa94e37958c0f09d |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-03-12T13:31:36Z |
| publishDate | 2023-08-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-9474635ed0554bd2aa94e37958c0f09d2023-08-24T08:53:37ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2023-08-011010.3389/fmed.2023.11652811165281Is my wound infected? A study on the use of hyperspectral imaging to assess wound infectionJose L. Ramirez-GarciaLuna0Mario A. Martinez-Jimenez1Robert D. J. Fraser2Robert D. J. Fraser3Robert Bartlett4Amy Lorincz5Zheng Liu6Gennadi Saiko7Gregory K. Berry8Department of Surgery, McGill University Health Centre, Montreal, QC, CanadaDivision of Surgery, Hospital Central “Dr. Ignacio Morones Prieto”, San Luis Potosí, MexicoSwift Medical, Toronto, ON, CanadaArthur Labatt School of Nursing, Northwestern University, London, ON, CanadaSwift Medical, Toronto, ON, CanadaVope Medical, Montreal, QC, CanadaSwift Medical, Toronto, ON, CanadaDepartment of Physics, Toronto Metropolitan University, Toronto, ON, CanadaDepartment of Surgery, McGill University Health Centre, Montreal, QC, CanadaIntroductionClinical signs and symptoms (CSS) of infection are a standard part of wound care, yet they can have low specificity and sensitivity, which can further vary due to clinician knowledge, experience, and education. Wound photography is becoming more widely adopted to support wound care. Thermography has been studied in the medical literature to assess signs of perfusion and inflammation for decades. Bacterial fluorescence has recently emerged as a valuable tool to detect a high bacterial load within wounds. Combining these modalities offers a potential objective screening tool for wound infection.MethodsA multi-center prospective study of 66 outpatient wound care patients used hyperspectral imaging to collect visible light, thermography, and bacterial fluorescence images. Wounds were assessed and screened using the International Wound Infection Institute (IWII) checklist for CSS of infection. Principal component analysis was performed on the images to identify wounds presenting as infected, inflamed, or non-infected.ResultsThe model could accurately predict all three wound classes (infected, inflamed, and non-infected) with an accuracy of 74%. They performed best on infected wounds (100% sensitivity and 91% specificity) compared to non-inflamed (sensitivity 94%, specificity 70%) and inflamed wounds (85% sensitivity, 77% specificity).DiscussionCombining multiple imaging modalities enables the application of models to improve wound assessment. Infection detection by CSS is vulnerable to subjective interpretation and variability based on clinicians' education and skills. Enabling clinicians to use point-of-care hyperspectral imaging may allow earlier infection detection and intervention, possibly preventing delays in wound healing and minimizing adverse events.https://www.frontiersin.org/articles/10.3389/fmed.2023.1165281/fullwoundsinflammationinfectionfluorescencethermographyhyperspectral imaging |
| spellingShingle | Jose L. Ramirez-GarciaLuna Mario A. Martinez-Jimenez Robert D. J. Fraser Robert D. J. Fraser Robert Bartlett Amy Lorincz Zheng Liu Gennadi Saiko Gregory K. Berry Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection Frontiers in Medicine wounds inflammation infection fluorescence thermography hyperspectral imaging |
| title | Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection |
| title_full | Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection |
| title_fullStr | Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection |
| title_full_unstemmed | Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection |
| title_short | Is my wound infected? A study on the use of hyperspectral imaging to assess wound infection |
| title_sort | is my wound infected a study on the use of hyperspectral imaging to assess wound infection |
| topic | wounds inflammation infection fluorescence thermography hyperspectral imaging |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2023.1165281/full |
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