Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology
Purpose: Eulerian video magnification (EVM)+waveform is a novel video processing software that enhances visualization of tissue perfusion and has been shown to improve hand surgeon identification of ischemia via video alone. The purpose of this study is to determine whether EVM+waveform technology w...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Journal of Hand Surgery Global Online |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2589514124002202 |
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| author | Max Horowitz, BS Aygul Iskandarova, MD Gabriel Yohe, MS Shihab Rahman, BS Nicholas Durr, PhD Aviram M. Giladi, MD, MS |
| author_facet | Max Horowitz, BS Aygul Iskandarova, MD Gabriel Yohe, MS Shihab Rahman, BS Nicholas Durr, PhD Aviram M. Giladi, MD, MS |
| author_sort | Max Horowitz, BS |
| collection | DOAJ |
| description | Purpose: Eulerian video magnification (EVM)+waveform is a novel video processing software that enhances visualization of tissue perfusion and has been shown to improve hand surgeon identification of ischemia via video alone. The purpose of this study is to determine whether EVM+waveform technology will support improved accuracy in identifying hand ischemia for less experienced persons, regardless of the evaluator’s health care experience or the melanin content of the hand in the video. Methods: Healthy volunteers were recruited for us to record videos of their hands both perfused and under tourniquet-induced ischemia. Videos were processed with EVM+waveform and inserted into a 26-question survey. There were two types of questions presented in each survey. One format showed a video processed with EVM+waveform, and the respondent was asked if the hand was ischemic, perfused, or if they were unsure. The second format presented two side-by-side videos, one ischemic and one perfused. Both were processed with EVM+waveform, and the respondent had to choose which was ischemic. Respondents included both medical and non-medical professionals none of whom had experience with hand surgery. Results: A total of 64 survey responses were recorded. The EVM+waveform technology significantly improved accuracy in determining ischemia regardless of the respondent’s health care experience. Respondents were divided into medical doctorate (MD; n = 15) and non-MD (n = 49) groups. Both groups demonstrated significant improvement in determining ischemia when using EVM+waveform. Within the non-MD cohort, accuracy percentages significantly improved across Fitzpatrick types IV, V, and VI. Within the MD cohort, accuracy percentages significantly improved across Fitzpatrick types III, V, and VI. Conclusions: These findings further establish EVM+waveform as an effective modality for identifying ischemia via video alone, as it enhanced performance for inexperienced evaluators. EVM+waveform is effective for assessing various skin types, especially those with higher skin melanin content. Type of study/level of evidence: Diagnostic, IV. |
| format | Article |
| id | doaj-art-88e36578b76a438d9a7e9452cc592491 |
| institution | Kabale University |
| issn | 2589-5141 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hand Surgery Global Online |
| spelling | doaj-art-88e36578b76a438d9a7e9452cc5924912025-01-26T05:04:41ZengElsevierJournal of Hand Surgery Global Online2589-51412025-01-01717278Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing TechnologyMax Horowitz, BS0Aygul Iskandarova, MD1Gabriel Yohe, MS2Shihab Rahman, BS3Nicholas Durr, PhD4Aviram M. Giladi, MD, MS5The Curtis National Hand Center, MedStar Union Memorial Hospital, Baltimore, MDThe Curtis National Hand Center, MedStar Union Memorial Hospital, Baltimore, MDThe Curtis National Hand Center, MedStar Union Memorial Hospital, Baltimore, MD; MedStar Health Research Institute, Hyattsville, MDDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MDDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MDThe Curtis National Hand Center, MedStar Union Memorial Hospital, Baltimore, MD; Corresponding author: Aviram M. Giladi, MD, MS c/o Kelsey Brannon, The Curtis National Hand Center, MedStar Union Memorial Hospital, 3333 North Calvert Street, JPB Mezzanine, Baltimore, MD 21218.Purpose: Eulerian video magnification (EVM)+waveform is a novel video processing software that enhances visualization of tissue perfusion and has been shown to improve hand surgeon identification of ischemia via video alone. The purpose of this study is to determine whether EVM+waveform technology will support improved accuracy in identifying hand ischemia for less experienced persons, regardless of the evaluator’s health care experience or the melanin content of the hand in the video. Methods: Healthy volunteers were recruited for us to record videos of their hands both perfused and under tourniquet-induced ischemia. Videos were processed with EVM+waveform and inserted into a 26-question survey. There were two types of questions presented in each survey. One format showed a video processed with EVM+waveform, and the respondent was asked if the hand was ischemic, perfused, or if they were unsure. The second format presented two side-by-side videos, one ischemic and one perfused. Both were processed with EVM+waveform, and the respondent had to choose which was ischemic. Respondents included both medical and non-medical professionals none of whom had experience with hand surgery. Results: A total of 64 survey responses were recorded. The EVM+waveform technology significantly improved accuracy in determining ischemia regardless of the respondent’s health care experience. Respondents were divided into medical doctorate (MD; n = 15) and non-MD (n = 49) groups. Both groups demonstrated significant improvement in determining ischemia when using EVM+waveform. Within the non-MD cohort, accuracy percentages significantly improved across Fitzpatrick types IV, V, and VI. Within the MD cohort, accuracy percentages significantly improved across Fitzpatrick types III, V, and VI. Conclusions: These findings further establish EVM+waveform as an effective modality for identifying ischemia via video alone, as it enhanced performance for inexperienced evaluators. EVM+waveform is effective for assessing various skin types, especially those with higher skin melanin content. Type of study/level of evidence: Diagnostic, IV.http://www.sciencedirect.com/science/article/pii/S2589514124002202Eulerian video magnificationInexperienced evaluator identificationIschemia evaluationTele-triageUpper extremity |
| spellingShingle | Max Horowitz, BS Aygul Iskandarova, MD Gabriel Yohe, MS Shihab Rahman, BS Nicholas Durr, PhD Aviram M. Giladi, MD, MS Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology Journal of Hand Surgery Global Online Eulerian video magnification Inexperienced evaluator identification Ischemia evaluation Tele-triage Upper extremity |
| title | Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology |
| title_full | Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology |
| title_fullStr | Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology |
| title_full_unstemmed | Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology |
| title_short | Inexperienced Evaluator Identification of Hand Ischemia Via Video Processed with Pigment-Enhancing Technology |
| title_sort | inexperienced evaluator identification of hand ischemia via video processed with pigment enhancing technology |
| topic | Eulerian video magnification Inexperienced evaluator identification Ischemia evaluation Tele-triage Upper extremity |
| url | http://www.sciencedirect.com/science/article/pii/S2589514124002202 |
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