A comparison of hyperspectral imaging with routine vascular noninvasive techniques to assess the healing prognosis in patients with diabetic foot ulcers

López‐Moral, Mateo; García‐Álvarez, Yolanda; Molines-Barroso, Raúl Juan; Tardáguila‐García, Aroa; García‐Madrid, Marta; Lázaro‐Martínez, José Luis

doi:10.1016/j.jvs.2021.07.123

Cited by 27 publications

(42 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies with a different version of the HyperMed camera indicated that high oxyHb were associated with increased chances of complete DFU healing, which is opposite to the findings of the current study 9,10 . Similar results were reported by investigators using a different HSI system 16 . It should be emphasised that extensive testing of the current version of the apparatus by the manufacturer found it to be equivalent to the previous version.…”

Section: Discussioncontrasting

confidence: 49%

“…Tissue spectra are compared with standard spectra for oxyhemoglobin and deoxyhemoglobin and tissue oxyhemoglobin (O 2 Sat). 8,9,16,17 In addition, the ulcer size was evaluated using the embedded camera in the HyperView ® device. In order to achieve accurate measurements, the device was held at a standard, predefined distance from the DFU and tissue scan images were obtained.…”

Section: Methodsmentioning

confidence: 99%

“…More specifically, uses a spectral separator to vary the wavelength of light admitted to a digital detector to provide a spectrum for each pixel—a hyperspectral scan. Tissue spectra are compared with standard spectra for oxyhemoglobin and deoxyhemoglobin and tissue oxyhemoglobin (O 2 Sat) 8,9,16,17 …”

Section: Methodsmentioning

confidence: 99%

“…9,10 Similar results were reported by investigators using a different HSI system. 16 It should be emphasised that extensive testing of the current version of the apparatus by the manufacturer found it to be equivalent to the previous version. In addition, in the present study, only one apparatus was used and did not present a malfunction.…”

Section: More Recent Studies Employing the Classification Of The Soci...mentioning

confidence: 99%

See 3 more Smart Citations

Use of hyperspectral imaging to predict healing of diabetic foot ulceration

Kounas

Dinh

Riemer

et al. 2023

Wound Repair Regeneration

View full text Add to dashboard Cite

Our main objective was to validate that hyperspectral imaging via a new portable camera carries the potential to provide a reliable clinical biomarker that can predict DFU healing. We recruited patients with diabetic foot ulceration (DFU) without peripheral arterial disease, infection or other serious illness. Using an hyperspectral imaging (HSI) apparatus, post-debridement hyperspectral images were taken evaluating the ulcer size, periwound oxyhemoglobin (OxyHb), deoxyhemoglobin level (DeoxyHb) and oxygen saturation (O 2 Sat) for four consecutive visits. Twenty-seven patients were followed, out of whom seven healed their DFU while the remaining 20 failed to heal their DFU. The average time between each visit was 3 weeks. Binary logistic regression of healers versus non-healers on Visit 1 oxyHb and on Visit 2 showed a significant inverse association, OR = 0.85 (95% CI: 0.73-0.98, p < 0.001).An inverse correlation was observed between the Visit 1 oxyHb and the percentage of ulcer size reduction between Visit 1 and Visit 4 (r = À0.46, p = 0.02) and between the Visit 2 oxyHb and the percentage of ulcer size reduction between Visits 2 and 4 (r = À0.65, p = 0.001). Using oxyHb 50 as the cut-off point to predict DFU complete healing, Visit 1 oxyHb measurement provided 85% sensitivity, 70% specificity, 50% positive predictive value and 93% negative predictive value. For Visit 2, oxyHb had 85% sensitivity, 85% specificity, 66% positive predictive value and 94% negative predictive value. We conclude that this preliminary study, which involved a relatively small number of patients, indicates that hyperspectral imaging is a simple exam that can easily be added to daily clinical practice and has the potential to provide useful information regarding the healing potential of DFU over a short period of time.

show abstract

Section: Discussioncontrasting

confidence: 49%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: More Recent Studies Employing the Classification Of The Soci...mentioning

confidence: 99%

See 2 more Smart Citations

Use of hyperspectral imaging to predict healing of diabetic foot ulceration

Kounas

Dinh

Riemer

et al. 2023

Wound Repair Regeneration

View full text Add to dashboard Cite

show abstract

“…On the one hand, self-monitoring devices are usually equipped with RGB cameras or with sensors in thermal infrared spectrum González-Pérez et al (2021) and both cases are considered low-cost. On the other hand, HSI equipment is more expensive than the traditional methods and it is not recommended for self-monitoring cases López-Moral et al (2022).…”

Section: Challenges On Data Acquisitionmentioning

confidence: 99%

A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring

Kaselimi

Protopapadakis²,

Doulamis³

et al. 2022

Front. Physiol.

View full text Add to dashboard Cite

Diabetic foot complications have multiple adverse effects in a person’s quality of life. Yet, efficient monitoring schemes can mitigate or postpone any disorders, mainly by early detecting regions of interest. Nowadays, optical sensors and artificial intelligence (AI) tools can contribute efficiently to such monitoring processes. In this work, we provide information on the adopted imaging schemes and related optical sensors on this topic. The analysis considers both the physiology of the patients and the characteristics of the sensors. Currently, there are multiple approaches considering both visible and infrared bands (multiple ranges), most of them coupled with various AI tools. The source of the data (sensor type) can support different monitoring strategies and imposes restrictions on the AI tools that should be used with. This review provides a comprehensive literature review of AI-assisted DFU monitoring methods. The paper presents the outcomes of a large number of recently published scholarly articles. Furthermore, the paper discusses the highlights of these methods and the challenges for transferring these methods into a practical and trustworthy framework for sufficient remote management of the patients.

show abstract

Performance of non‐invasive bedside vascular testing in the prediction of wound healing or amputation among people with foot ulcers in diabetes: A systematic review

Chuter

Schaper

Hinchliffe

et al. 2023

Diabetes Metabolism Res

View full text Add to dashboard Cite

IntroductionThe presence of peripheral artery disease (PAD) confers a significantly increased risk of failure to heal and major lower limb amputation for people with diabetes‐related foot ulcer (DFU). Determining performance of non‐invasive bedside tests for predicting likely DFU outcomes is therefore key to effective risk stratification of patients with DFU and PAD to guide management decisions. The aim of this systematic review was to determine the performance of non‐invasive bedside tests for PAD to predict DFU healing, healing post‐minor amputation, or need for minor or major amputation in people with diabetes and DFU or gangrene.MethodsA database search of Medline and Embase was conducted from 1980 to 30 November 2022. Prospective studies that evaluated non‐invasive bedside tests in patients with diabetes, with and without PAD and foot ulceration or gangrene to predict the outcomes of DFU healing, minor amputation, and major amputation with or without revascularisation, were eligible. Included studies were required to have a minimum 6‐month follow‐up period and report adequate data to calculate the positive likelihood ratio (PLR) and negative likelihood ratio for the outcomes of DFU healing, and minor and major amputation. Methodological quality was assessed using the Quality in Prognosis Studies tool.ResultsFrom 14,820 abstracts screened 28 prognostic studies met the inclusion criteria. The prognostic tests evaluated by the studies included: ankle‐brachial index (ABI) in 9 studies; ankle pressures in 10 studies, toe‐brachial index in 4 studies, toe pressure in 9 studies, transcutaneous oxygen pressure (TcPO2) in 7 studies, skin perfusion pressure in 5 studies, continuous wave Doppler (pedal waveforms) in 2 studies, pedal pulses in 3 studies, and ankle peak systolic velocity in 1 study. Study quality was variable. Common reasons for studies having a moderate or high risk of bias were poorly described study participation, attrition rates, and inadequate adjustment for confounders. In people with DFU, toe pressure ≥30 mmHg, TcPO2 ≥25 mmHg, and skin perfusion pressure of ≥40 mmHg were associated with a moderate to large increase in pretest probability of healing in people with DFU. Toe pressure ≥30 mmHg was associated with a moderate increase in healing post‐minor amputation. An ABI using a threshold of ≥0.9 did not increase the pretest probability of DFU healing, whereas an ABI <0.5 was associated with a moderate increase in pretest probability of non‐healing. Few studies investigated amputation outcomes. An ABI <0.4 demonstrated the largest increase in pretest probability of a major amputation (PLR ≥10).ConclusionsPrognostic capacity of bedside testing for DFU healing and amputation is variable. A toe pressure ≥30 mmHg, TcPO2 ≥25 mmHg, and skin perfusion pressure of ≥40 mmHg are associated with a moderate to large increase in pretest probability of healing in people with DFU. There are little data available evaluating the prognostic capacity of bedside testing for healing after minor amputation or for major amputation in people with DFU. Current evidence suggests that an ABI <0.4 may be associated with a large increase in risk of major amputation. The findings of this systematic review need to be interpreted in the context of limitations of available evidence, including varying rates of revascularisation, lack of post‐revascularisation bedside testing, and heterogenous subpopulations.

show abstract

A comparison of hyperspectral imaging with routine vascular noninvasive techniques to assess the healing prognosis in patients with diabetic foot ulcers

Cited by 27 publications

References 25 publications

Use of hyperspectral imaging to predict healing of diabetic foot ulceration

Use of hyperspectral imaging to predict healing of diabetic foot ulceration

A review of non-invasive sensors and artificial intelligence models for diabetic foot monitoring

Performance of non‐invasive bedside vascular testing in the prediction of wound healing or amputation among people with foot ulcers in diabetes: A systematic review

Contact Info

Product

Resources

About