IMR Press / RCM / Volume 23 / Issue 9 / DOI: 10.31083/j.rcm2309299
Open Access Original Research
Measurement of Revascularization Effect Using Near Infrared Spectroscopy in Below the Knee Arteries
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1 Faculty of Medicine, Vilnius University, LT-03101 Vilnius, Lithuania
2 Vilniaus Miesto Klinikinė Hospital, LT-10207 Vilnius, Lithuania
3 Department of Vascular Surgery, Zealand University Hospital, DK-4000 Roskilde, Denmark
*Correspondence: tomas.baltrunas@gmail.com (Tomas Baltrūnas)
Academic Editor: Grigorios Korosoglou
Rev. Cardiovasc. Med. 2022, 23(9), 299; https://doi.org/10.31083/j.rcm2309299
Submitted: 13 May 2022 | Revised: 21 July 2022 | Accepted: 5 August 2022 | Published: 5 September 2022
(This article belongs to the Special Issue Peripheral Arterial Disease)
Copyright: © 2022 The Author(s). Published by IMR Press.
This is an open access article under the CC BY 4.0 license.
Abstract

Objectives: Current methods evaluating tissue ischemia are based mainly on evaluating blood flow and not tissue perfusion. However, diabetes mainly affects small vessels and blood flow evaluation is insufficient. The aim of the trial was to evaluate the feasibility of NIRS in measuring perfusion changes during chronic total occlusion (CTO) revascularization in below the knee (BTK) arteries. Methods and Material: A prospective observational study was performed. During the endovascular revascularization procedure, tissue oxygenation changes were measured using three NIRS sensors. Postoperative angiographies and 30 days wound healing was evaluated. Results: The study enrolled 30 patients with chronic limb threatening ischemia, occluded below the knee arteries, Rutherford 5. Mean age 74.7 ± 11.2 years, 16 (53%) of the patients had diabetes mellitus, 10 (33%) had end-stage renal disease. A statistically significant NIRS rSO2 increase was observed on sensors near the wound after the revascularization, p = 0.001. Thirty days follow-up visits included 27 patients, because 3 patients had died. Comparing good wound healing group with poor wound healing group intraoperative NIRS rSO2 increase difference was statistically significant, p = 0.017. Conclusions: The study confirmed tissue perfusion increase could be detected using NIRS during revascularization of below the knee arteries. An intraoperative increase of NIRS rSO2 proved to predict wound healing results.

Keywords
near-infrared spectroscopy
blood perfusion
wound healing
chronic limb-threatening ischemia
below the knee
chronic total occlusion

Type of Research: Single center prospective observational study.

Key Findings: Tissue perfusion increase was detected using NIRS during revascularization of below the knee arteries in 30 patients. NIRS was superior in predicting wound healing compared to a blinded angiography evaluation.

Take home Message: Tissue perfusion measurement is of increasing importance due to growing incidence of small vessel disease, which are resulted by diabetes and end stage renal disease. However, there is no validated method to evaluate it. NIRS showed promising intraoperative monitoring results in a very restricted cohort.

Summary: NIRS is feasible method for detecting tissue perfusion changes during endovascular revascularization of BTK and BTA arteries. This proof of concept does not translate into clinical practice with existing devices in the market.

1. Introduction

Chronic limb-threatening ischemia (CLTI) is an end-stage of peripheral artery disease (PAD), which includes a broad and heterogeneous group of patients [1]. Because of the aging society and the increasing prevalence of diabetes mellitus, the altered vascular bed shifts from aortoiliac to below the knee (BTK) and below the ankle (BTA) [2]. The new term “small artery disease” (SAD) is coming to stage not as a subgroup of PAD but more as an independent disease caused by medial arterial calcification [3, 4]. This increases the importance of blood perfusion measurement.

Current methods evaluating tissue ischemia are based mainly on assessing blood flow and not blood perfusion [1, 5]. Palpation of pulses, ankle brachial index (ABI), duplex ultrasound, computed tomography angiography (CTA), magnetic resonance angiography (MRA), and some other methods evaluate blood flow exclusively. This is suitable for diagnosis and prognosis of a big artery disease (aortoiliac, above the knee). However, blood flow evaluation is less valuable in BTK or below the ankle (BTA) disease, especially when the toe pressure cannot be assessed [1]. Furthermore, even in cases with unaltered blood flow, patients could have ischemic wounds due to poor tissue perfusion. Several pathophysiological mechanisms come into play in diabetic patients. Diabetic polyneuropathy leads to sympathetic denervation, causing increased capillary permeability and opening of arterio-venous shunts [6, 7]. Thickening of the basal membrane causes arteriolar hyalinosis and impairs vasodilation [8].

Blood flow and tissue perfusion mismatch were discussed in the literature extensively [9, 10], however, there is still no valid method to evaluate perfusion. The main issue with blood perfusion measurement is a high variability among patients because of many confounding factors [1]: blood pressure, oxygen saturation, heart ejection fraction, peripheral spasm, environmental temperature, etc. It causes high variability in measurements even among the patients without PAD/SAD. The only partial exception is a TcPO2 measurement, with a negotiable 40 mmHg cut-off value [11, 12, 13], but it is inconvenient and time consuming.

Another issue regarding the evaluation of tissue perfusion is the lack of the reference standard. This turns into a validation problem of new techniques as tissue perfusion results should not be validated according to blood flow measurement. However, tissue perfusion results could be compared to the clinical outcome. Wound healing is a slow process, and that particular cohort of patients is very fragile. One-year cumulative amputation risk for amputation and death in a COMPASS trial was 23% and 9%, respectively [14]; yearly reintervention rate could be up to 30% [15]. That is why blood perfusion comparison to a long-lasting follow-up is questionable in this rapidly changing population.

A lot of new blood perfusion in tissues evaluating techniques have emerged recently, trying to prove their value: contrast-enhanced ultrasound [16, 17, 18]; MRI perfusion imaging [19, 20, 21]; hyperspectral imaging [22, 23]; laser doppler perfusion monitoring [12]; laser speckle contrast imaging [24, 25]; near-infrared spectroscopy [26, 27, 28, 29]; near-infrared fluorescence imaging with indocyanine green [30, 31]; spectrophotometry [32]; vascular optical tomography imaging [33]; photoacoustic imaging; micro-oxygen sensors [34] and some other emerging techniques. However scientific data is scarce and only two of the studies mentioned above have included more than 100 patients.

NIRS devices use several diodes of different wavelength, which has different penetration and absorption patterns by oxygenated and deoxygenated hemoglobin. Invos Oximeter (Somanetics/Medtronic) uses two diodes: 800 nm for oxygenated and deoxygenated hemoglobin and 760 nm for deoxygenated hemoglobin. The calculated measurement reflects tissue oxygenation. While tissue perfusion is not the same as tissue oxygenation, in this setting, where ischemic wound is associated with occluded BTK/BTA arteries, intraoperative changes of tissue oxygenation after revascularization reflect changes in tissue perfusion.

In our vascular center more than 800 lower limb endovascular interventions a year are performed. Having some prior not published expertise, which is entirely in line with the only published NIRS PAD clinical study by de Boezeman et al. [35], it was decided to investigate NIRS in a well-controlled clinical environment, as any variability in clinical cases (claudication vs. CLTI), intervention mode (open surgical vs. endovascular vs. BMT), anatomical site of lesion (aortoiliac vs. ATK vs. BTK), severe comorbidities, significantly affecting oxygen saturation, lead to very scattered results which are impossible to conclude in trials with a volume below ~1000 cases. An intraoperative measurement with a controlled environment as well as diminished interpatient variability in a small trial group could be a valuable proof of concept. If it fails, the possible benefit of NIRS measurement in a real-life scenario could be close to zero.

NIRS was evaluated in some wound healing clinical trials [36, 37, 38]. These trials showed oxygenated hemoglobin concentration differences in good versus poor healing wounds, however the wounds were not ischemic [37, 38], or only several of them ischemic [36]. This proves the ability to detect tissue oxygen changes using NIRS, however the results are scattered due to different ethiology of wounds and can hardly be translated to clinical practice.

Several systematic reviews were published summarizing possible benefits and shortcomings of NIRS in PAD evaluation [39, 40]. Despite the ability to detect PAD more precisely in some clinical scenarios, the main shortcoming was variability of the results which limited the clinical usage.

The aim of the study was to test if NIRS can detect the intraoperative increase of tissue oxygenation and if the elevation of NIRS rSO2 predicts wound healing in patients with CLTI and occlusion of below the knee arteries.

2. Materials and Methods

Vilnius Regional Biomedical Research Ethics Committee approved this study on Dec. 5, 2017, registration number 158200-17-981-482. The study was registered in clinicaltrials.gov on Apr. 2, 2019, registration number NCT03898869. Patients were included after obtaining informed consent.

The study was conducted in a tertiary non-university Vilniaus Miesto Klinikine Hospital, department of Vascular Surgery. The study was started Apr. 3, 2019, finished Sep. 7, 2020.

2.1 Patients

To avoid variability in measurements, strict inclusion and exclusion criteria were defined:

Inclusions criteria

• All comers PAD patients 55–95 years old;

• CLTI Rutherford V–VI;

• CTO below the knee;

• At least one artery below the knee was planned to be revascularized;

• No need for intervention in above the knee arteries.

Exclusion criteria

• Skin diseases preventing the use of NIRS;

• Life expectancy less than 12 months;

• Unavoidable amputation above the ankle;

• Systemic blood oxygen saturation below 85%.

All patients underwent standard clinical and laboratory investigation. The wounds were assessed according to WIfI classification [41]. The diagnosis of chronic total occlusion (CTO) was based on the results of angiography performed either at referring hospital or at the time of admission in our center.

2.2 Procedure and Measurements

Endovascular BTK/BTA revascularization procedure was performed by a single vascular surgeon using antegrade ipsilateral groin approach and retrograde pedal puncture when needed. All procedures were performed according to standard of practice (heparinization during the procedure, dual antiplatelet therapy for 3 months after the procedure). Short acting vasodilators were used only in the cases where distal puncture was needed. These medicines had no impact neither for initial measurements nor for final measurements.

All procedures were performed in an operating room equipped with Innova 4100, GE (Boston, Massachusetts, US). Postoperative images were anonymized and blindly evaluated by an independent interventional radiologist using Horos v3.3.6 (Annapolis, MD, USA). Technical angiographic success was scored 1 or 2, where 1—ranged from not successful recanalization to partialy successful recanalization, but without preservation of direct flow to pedal arch; 2—successful recanalization with full blood flow restoration through the pedal arch.

NIRS was measured using Invos Oximeter, Somanetics/Medtronic (Dublin, Ireland). Two probes were placed near the ischemic wound on muscular beds, and one reference probe was set on the pectoral muscle (Fig. 1a). Two sensors near the wound were placed on healthy skin, approximately 2–3 cm from ulcer margin. Because of sensors detecting oxygenation changes in ~2 cm depth, they were not placed over the tibial bone and over the bony prominences.

Fig. 1.

NIRS application during revascularization procedure. (a) Sensor placement near the wound. (b) X-ray view. (c) NIRS screen.

Despite the sensors were placed in the same region where revascularization was performed, they did not interfere with the X-ray view (Fig. 1b). The balloon inflation effect could be visualized on the NIRS screen (Fig. 1c).

After the procedure, NIRS data was downloaded and post processed using Excel v16.42, Microsoft (Redmond, WA, USA). rSO2 was recorded every 6 seconds. The mean of the first and the last 50 measurements of each sensor was calculated. The effect of revascularization was calculated using the formula below. The main goal was to zero the impact of fluctuations in systemic circulation using the reference sensor on the shoulder.

Effect = ( ( M1 α + M2 α ) - ( M1 ω + M2 ω ) 2 - ( MR α - MR ω ) M1 α + M2 α 2 - 1 ) * 100

M1α — mean of the first 50 measurements on sensor 1 (before revascularization); M2α — mean of the first 50 measurements on sensor 2 (before revascularization); M1ω — mean of the last 50 measurements on sensor 1 (after revascularization); M2ω — mean of the last 50 measurements on sensor 2 (after revascularization); MRα — mean of the first 50 measurements on reference sensor (before revascularization); MRω — mean of the last 50 measurements on reference sensor (after revascularization).

A right shoulder was used for baseline sensor. The other leg is usually altered by the same disease. The blood perfusion in arms might be altered by prior dialysis access surgery, as end stage renal disease is quite abundant in this patient cohort. That is why a shoulder was chosen as a baseline place.

Vital signs and oxygen saturation on the index finger were monitored using B40 Patient Monitor, GE (Boston, Massachusetts, USA).

The final anonymized angiographic results from all 30 subjects were evaluated by an independent radiologist and patients were assigned into two groups. The first group—suboptimal angiographic result, when the blood flow to the pedal arch was not restored. The second group — good angiographic result with blood flow restoration to the pedal arch.

ABI was measured using Dopplex® Ankle Brachial Pressure Index Kit with EZ8 8MHz Probe, Huntleigh (Cardiff, Wales, UK).

2.3 Follow-Up

A follow-up visit was set up 30 days after the discharge for each patient. Wounds were reassessed using WIfI classification by the same vascular surgeon. Wound healing after one month was evaluated using WIfI classification. Because of small number of patients, scattered initial wound characteristics and different healing patterns, the second type of grading was used, based on healing pattern as 1 or 2, where 1—no improvement or slight improvement; 2—wound is healed or is healing rapidly and there is tendency for complete heal in the near future.

2.4 Statistical Analysis

Statistics were performed using SPSS 26.0 (IBM, Armonk, NY, USA) and power calculations were performed using GPower version 3.1 (HHU, Dusseldorf, Germany). The Gaussian distribution and homogeneity of variance of the data were confirmed using Shapiro-Wilk and Levene tests. Data are presented as the mean ± SD for normal distributed values, otherwise median and interquartile range (25 and 75 percentile) (IQR). Outliers were defined as more than mean ± 3SD and excluded from further analysis. Statistical significance was assessed using Student’s t-test for normal distributed data, the Wilcoxon signed rank test for continuous non normal distributed variables and Fisher’s exact test for categorical variables. The difference between samples was considered statistically significant if the p value was less than 0.05.

2.5 Power Analysis

There was no preliminary data we could use to perform power analysis before the trial. The sample size was chosen to be twice as big as the cohort of the only previous clinical trial dealing with intraoperative endovascular NIRS measurement [35] and the only trial dealing with intraoperative open surgery NIRS measurement. The sample size was also based on other blood perfusion tests (hyperspectral imaging, laser doppler perfusion monitoring, near-infrared fluorescence imaging with indocyanine green, micro-oxygen sensors, etc.) listed previously.

The post-hoc Power analysis was performed after calculating the results. The sample size for matched pairs T-test with α error probability of 0.05 and Power (1 - β error probability) of 0.95 is 23 subjects to detect difference between preoperative and postoperative results. The sample size for independent groups T-test with α error probability of 0.05 and Power (1 - β error probability) of 0.8 is 38 subjects to detect difference between two patient groups based on postoperative results and different clinical outcomes.

3. Results

30 patients were enrolled into the study. There were 17 males (57%), the mean age of the patients was 74.7 ± 11.2 years. 16 patients (53%) had diabetes mellitus, 10 (33%) had end-stage renal disease (Table 1). All patients had chronic total occlusion below the knee and the ischemia was classified as Rutherford category V (Table 2). NIRS rSO2 measurements and other intervention data that were collected during the procedure are depicted in Tables 2,3.

Table 1.Demographic data.
Variables No. (%) or Mean ± SD
Study patients 30
Age, years 74.7 ± 11.2
Male 17 (57%)
Caucasian 30 (100%)
Diabetes mellitus 16 (53%)
End stage renal disease 10 (33%)
Hypertension 24 (80%)
Coronary artery disease 21 (70%)
Table 2.Initial clinical data.
Variables No. (%) or Mean ± SD
CLTI, Rutherford V 30 (100%)
CTO below the knee 30 (100%)
Concomitant SFA disease, requiring treatment 1 (3%)
Previous open surgery on index leg 3 (10%)
Previous endovascular intervention on index leg 13 (43%)
Previous minor amputations on index leg 6 (20%)
Elevated CRP on admission 12 (40%)
Increased WBC on admission 10 (33%)
WIfI, W2 14 (46%)
WifI, I2 15 (50%)
WifI, fI1 12 (40%)
ABI (20 patients) 0.6 [0.21]
CTO, intended to treat P3 1 (3%)
CTO, intended to treat distal to popliteal artery 30 (100%)
BP, systolic at the beginning of procedure 154 ± 19.4
Oxygen saturation, % 94 ± 2.5
CLTI, chronic limb threatening ischemia; CTO, chronic total occlusion; SFA, superficial femoral artery; CRP, C reactive protein; WBC, white blood cells; WIfI, the classification system proposed by the Society for Vascular Surgery (W, Wound; I, Ischaemia; fI, foot Infection); ABI, ankle brachial index; BP, blood pressure.
Table 3.Intervention data.
Sensor NIRS rSO2 before the reperfusion, Mean ± SD NIRS rSO2 after the reperfusion, Mean ± SD p value
Sensor 1 58.0 ± 12.7 66.7 ± 11.6 0.001
Sensor 2 57.6 ± 12.7 67.1 ± 14.0 <0.001
Reference sensor 67.7 ± 11.3 63.1 ± 12.0 0.001
CTO, chronic total occlusion; NIRS, near infrared spectroscopy.

Statistically significant NIRS rSO2 increase (Table 3) was observed on sensors near the wound after the reperfusion (paired samples T-test, p = 0.001). Statistically significant NIRS rSO2 decrease during the procedure on reference sensor during the procedure (paired samples T-test, p = 0.001).

Independent anonymous evaluation of revascularization success was performed. The success was rated as suboptimal in 12 (40%) cases (group 1) and optimal in 18 (60%) cases (group 2).

Follow-Up

3 patients (10%) died during the first 30 days, therefore the follow up included 27 patients. Wound healing after 30 days was evaluated as poor in 9 patients (30%) and good in 18 patients (70%). Follow-up ABI median was 0.7 [0.2].

Patients with different angiographic revascularization success were stratified by their clinical outcome (the course of wound healing) (Table 4). There was no relationship between the angiographic success and wound healing categories (Fisher exact test, p = 0.683). Initial and final ABI, initial and final NIRS rSO2 values, current comorbidities did not correlate with wound healing also.

Table 4.Comparison of angiographic results and wound healing.
Suboptimal angiographic result Optimal angiographic result
Poor wound healing 4 5
Good wound healing 6 12
Fisher exact test used, p = 0.683.

Comparing good wound healing group vs. poor wound healing group intraoperative NIRS rSO2 increase difference was statistically significant, p = 0.017 (Table 5). Three statistical outliners were excluded from calculations.

Table 5.Comparison of NIRS rSO2 change in different wound healing groups.
Poor wound healing Good wound healing
NIRS rSO2 change after the revascularization, Mean ± SD No. of patients NIRS rSO2 change after the revascularization, Mean ± SD No. of patients p value
13.6 ± 3.3 6 27.2 ± 25.2 18 0.017
Student’s t-test used for comparison.
NIRS, near infrared spectroscopy.
4. Discussion

NIRS is a non-invasive method which is not harmful to tissue even if applied for a longer period of time [42]. In contrast to other methods measuring tissue perfusion such as TcPO2, NIRS does not require skin to be heated prior to measuring tissue perfusion and it is not so operator dependant as hyperspectral imaging [1, 22]. Compared to micro-oxygen sensors (MOXY), NIRS appears to be a less expensive, non invasive and easier to perform technique [34]. Also, application of NIRS does not require additional contrast media and standartized protocol as it must be done while using 2D perfusion angiography [43].

INVOS™ Cerebral/Somatic Oximetry device, which was used in this study, is not the most optimal NIRS device for detecting peripheral tissue perfusion. It was chosen because it has a CE Mark and is broadly available in clinical practice.

To the best of our knowledge this is the second study in the world evaluating intraoperative NIRS results. The first study, conducted by Boezeman et al. [35], showed no NIRS rSO2 increase after the revascularization. However, that study included only 14 patients, 43% of them were without gangrene, 79% of the lesions were above the knee, no data was obtained comparing stenosis versus CTO.

Our experience evaluating blood perfusion using NIRS outside this study patients replicated the findings published by Boezeman et al. [35]. Small intraprocedural NIRS rSO2 increase is influenced by numerous factors, such as spasm following introducer sheath insertion, blood pressure fluctuations, patient hyperventilation, etc. The most significant NIRS rSO2 increase was observed after the direct blood flow restoration to the target area. Therefore, an assumption was made that if NIRS measurement could prove its value, it would do it in specifically controlled environment.

A significant increase in NIRS rSO2 was demonstrated after restoration of blood perfusion in the current study. This lets us think that NIRS can be used for intraoperative blood perfusion measuring in patients with CTO and below the knee occlusion. Moreover, a higher increase in NIRS rSO2 after revascularization was associated with better wound healing. In this setting, the increase in NIRS rSO2 served as prognostic marker of wound healing and even outperformed the predictive potential of independent angiographic evaluation of revascularization.

The first approach to test tissue perfusion during described revascularization procedure proved to be successful. However, it is a far cry from everyday day use in clinical practice. The next step could be validating this technology comparing with TcPO2 measurements before and after the procedure, repeating NIRS and TcPO2 on 30-day follow-up visit.

5. Limitations of Technology

All calculations were made after postprocessing of the data, where the baseline was connected to a reference sensor value. As baseline data is changing during the procedure, it is important to note that the current Invos Somanetics device uses a different formula and the results shown on screen are not straightforward.

The price of each single-use sensor is equal to the price of a PTA balloon. Using three sensors per procedure on a routine basis could increase the average procedure cost. On the other hand, even the small improvement in treatment strategy may contribute to huge savings in ulcer treatment. This was demonstrated by Weingarten et al. [44] with an earlier detection of wound healing failure using NIRS allowing to save more than 12,000 USD per patient.

The impact of severe local inflammation, lung and heart diseases affecting oxygen saturation, alter the measurements and might limit the usage of this technology.

6. Limitations of the Study

Despite rigorous inclusion criteria, an additional one could have been included. Severe local inflammation impacts the measurement, so fI 2 and 3, according to WIfI classification, could have been excluded.

The only validated tissue perfusion measurement TcPO2 before and after the procedure could have been included in the comparison. We have not included it, as the primary idea was to put NIRS sensors as close to the wound as possible and TcPO2 measurement has more defined areas. However, a future study comparing TcPO2 and NIRS rSO2 with a different patient group, giving more attention to the wound characteristics and location, could be planned. Some studies have compared NIRS and TcPO2 [45] with promising results.

7. Future Perspectives

We see a potential of NIRS measurements in evaluating ischemic tissue perfusion. Possibility to revascularize one, two, or three BTK arteries is a nice option enabled by endovascular technique. However, a patient with CLTI is usually very fragile and the need to shorten the intervention is widely expressed. The ability to monitor tissue perfusion near the wound during the procedure and stop the procedure once required increase is achieved would be extremely valuable. Currently there are no devices certified for detection of tissue perfusion changes during revascularization. The need to postprocess data is a clear barrier for every day clinical use of existing devices. That is why, further adoption of this technology is limited to manufacturers of existing devices.

Positive results of this study set background for further investigation. Future studies are needed to assess the ability of NIRS to predict wound healing, minor and major amputation in larger patient cohorts.

8. Conclusions

NIRS is feasible method for detecting tissue perfusion changes during endovascular revascularization of BTK and BTA arteries. However, a dedicated device with a modified measurement technique is needed.

Author Contributions

Conception and study design—TB, KR. Data collection—GP, AR, VM, AS, GV. Data analysis and interpretation SŠ, VB, SU. Writing of the manuscript—TB, GP, AR, VM, VB, AS, GV, SŠ, SU, KR.

Ethics Approval and Consent to Participate

All subjects gave their informed consent for inclusion before they participated in the study. The study was conducted in accordance with the Declaration of Helsinki, and the protocol was approved by Vilnius Regional Biomedical Research Ethics Committee (approval number: 158200-17-981-482).

Acknowledgment

We would like to express our gratitude to all those who helped us during the writing of this manuscript. Thanks to all the peer reviewers for their opinions and suggestions.

Funding

This research received no external funding.

Conflict of Interest

The authors declare no conflict of interest.

Publisher’s Note: IMR Press stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

References
[1]
Conte MS, Bradbury AW, Kolh P, White JV, Dick F, Fitridge R, et al. Global Vascular Guidelines on the Management of Chronic Limb-Threatening Ischemia. European Journal of Vascular and Endovascular Surgery. 2019; 58: S1–S109.e33.
[2]
Diehm N, Shang A, Silvestro A, Do D-D, Dick F, Schmidli J, et al. Association of Cardiovascular Risk Factors with Pattern of Lower Limb Atherosclerosis in 2659 Patients Undergoing Angioplasty. European Journal of Vascular and Endovascular Surgery. 2006; 31: 59–63.
[3]
Ferraresi R, Ucci A, Pizzuto A, Losurdo F, Caminiti M, Minnella D, et al. A Novel Scoring System for Small Artery Disease and Medial Arterial Calcification is Strongly Associated with Major Adverse Limb Events in Patients with Chronic Limb-Threatening Ischemia. Journal of Endovascular Therapy. 2021; 28: 194–207.
[4]
Mustapha JA, Diaz-Sandoval LJ, Saab F. Infrapopliteal calcification patterns in critical limb ischemia: diagnostic, pathologic and therapeutic implications in the search for the endovascular holy grail. The Journal of Cardiovascular Surgery. 2017; 58: 383–401.
[5]
Ma KF, Kleiss SF, Schuurmann RCL, Bokkers RPH, Ünlü Ç, De Vries JPM. A systematic review of diagnostic techniques to determine tissue perfusion in patients with peripheral arterial disease. Expert Review of Medical Devices. 2019; 16: 697–710.
[6]
Lefrandt JD, Bosma E, Oomen PHN, van der Hoeven JH, van Roon AM, Smit AJ, et al. Sympathetic mediated vasomotion and skin capillary permeability in diabetic patients with peripheral neuropathy. Diabetologia. 2003; 46: 40–47.
[7]
Fagrell B, Jörneskog G, Intaglietta M. Disturbed microvascular reactivity and shunting - a major cause for diabetic complications. Vascular Medicine. 1999; 4: 125–127.
[8]
Dinh T, Veves A. Microcirculation of the Diabetic Foot. Current Pharmaceutical Design. 2005; 11: 2301–2309.
[9]
Bajwa A, Wesolowski R, Patel A, Saha P, Ludwinski F, Smith A, et al. Assessment of Tissue Perfusion in the Lower Limb: current methods and techniques under development. Circulation: Cardiovascular Imaging. 2014; 7: 836–843.
[10]
Levy BI, Schiffrin EL, Mourad J, Agostini D, Vicaut E, Safar ME, et al. Impaired Tissue Perfusion. Circulation. 2008; 118: 968–976.
[11]
Poredos P, Rakovec S, Guzic-Salobir B. Determination of amputation level in ischaemic limbs using tcPO2 measurement. Vasa. 2005; 34: 108–112.
[12]
Pawlaczyk-Gabriel K, Gabriel M, Krasiński Z, Dzieciuchowicz Ł, Stanisić M, Gabriel Z, et al. Influence of low and moderate grade leg ischaemia on the skin microcirculation parameters in peripheral arterial occlusive disease patients. Acta Angiologica. 2014; 20: 133–140.
[13]
Berli MC, Wanivenhaus F, Kabelitz M, Götschi T, Böni T, Rancic Z, et al. Predictors for reoperation after lower limb amputation in patients with peripheral arterial disease. Vasa. 2019; 48: 419–424.
[14]
Anand SS, Caron F, Eikelboom JW, Bosch J, Dyal L, Aboyans V, et al. Major Adverse Limb Events and Mortality in Patients with Peripheral Artery Disease: The COMPASS Trial. Journal of the American College of Cardiology. 2018; 71: 2306–2315.
[15]
Iida O, Soga Y, Hirano K, Kawasaki D, Suzuki K, Miyashita Y, et al. Midterm Outcomes and Risk Stratification after Endovascular Therapy for Patients with Critical Limb Ischaemia due to Isolated below-the-knee Lesions. European Journal of Vascular and Endovascular Surgery. 2012; 43: 313–321.
[16]
Duerschmied D, Zhou Q, Rink E, Harder D, Freund G, Olschewski M, et al. Simplified contrast ultrasound accurately reveals muscle perfusion deficits and reflects collateralization in PAD. Atherosclerosis. 2009; 202: 505–512.
[17]
Kundi R, Prior SJ, Addison O, Lu M, Ryan AS, Lal BK. Contrast-Enhanced Ultrasound Reveals Exercise-Induced Perfusion Deficits in Claudicants. European Journal of Vascular and Endovascular Surgery. 2017; 2: 9.
[18]
Meneses AL, Nam MCY, Bailey TG, Magee R, Golledge J, Hellsten Y, et al. Leg blood flow and skeletal muscle microvascular perfusion responses to submaximal exercise in peripheral arterial disease. American Journal of Physiology-Heart and Circulatory Physiology. 2018; 315: H1425–H1433.
[19]
Jiji RS, Pollak AW, Epstein FH, Antkowiak PF, Meyer CH, Weltman AL, et al. Reproducibility of rest and exercise stress contrast-enhanced calf perfusion magnetic resonance imaging in peripheral arterial disease. Journal of Cardiovascular Magnetic Resonance. 2013; 15: 14.
[20]
Englund EK, Langham MC, Li C, Rodgers ZB, Floyd TF, Mohler ER, et al. Combined measurement of perfusion, venous oxygen saturation, and skeletal muscle T2* during reactive hyperemia in the leg. Journal of Cardiovascular Magnetic Resonance. 2013; 15: 70.
[21]
Suo S, Zhang L, Tang H, Ni Q, Li S, Mao H, et al. Evaluation of skeletal muscle microvascular perfusion of lower extremities by cardiovascular magnetic resonance arterial spin labeling, blood oxygenation level-dependent, and intravoxel incoherent motion techniques. Journal of Cardiovascular Magnetic Resonance. 2018; 20: 18.
[22]
Chiang N, Jain JK, Sleigh J, Vasudevan T. Evaluation of hyperspectral imaging technology in patients with peripheral vascular disease. Journal of Vascular Surgery. 2017; 66: 1192–1201.
[23]
Chin JA, Wang EC, Kibbe MR. Evaluation of hyperspectral technology for assessing the presence and severity of peripheral artery disease. Journal of Vascular Surgery. 2011; 54: 1679–1688.
[24]
Humeau-Heurtier A, Abraham P, Henni S. Bi-dimensional variational mode decomposition of laser speckle contrast imaging data: a clinical approach to critical limb ischemia? Computers in Biology and Medicine. 2017; 86: 107–112.
[25]
Kikuchi S, Miyake K, Tada Y, Uchida D, Koya A, Saito Y, et al. Laser speckle flowgraphy can also be used to show dynamic changes in the blood flow of the skin of the foot after surgical revascularization. Vascular. 2019; 27: 242–251.
[26]
Boezeman RP, Boersma D, Wille J, Kelder JC, Visscher MI, Waanders FG, et al. The significance of regional hemoglobin oxygen saturation values and limb-to-arm ratios of near-infrared spectroscopy to detect critical limb ischemia. Vascular. 2015; 24: 492–500.
[27]
Mesquita RC, Putt M, Chandra M, Yu G, Xing X, Han SW, et al. Diffuse optical characterization of an exercising patient group with peripheral artery disease. Journal of Biomedical Optics. 2013; 18: 057007.
[28]
Kagaya Y, Ohura N, Suga H, Eto H, Takushima A, Harii K. ‘Real Angiosome’ Assessment from Peripheral Tissue Perfusion Using Tissue Oxygen Saturation Foot-mapping in Patients with Critical Limb Ischemia. European Journal of Vascular and Endovascular Surgery. 2014; 47: 433–441.
[29]
Miller AJ, Luck JC, Kim DJ, Leuenberger UA, Proctor DN, Sinoway LI, et al. Blood pressure and leg deoxygenation are exaggerated during treadmill walking in patients with peripheral artery disease. Journal of Applied Physiology. 2017; 123: 1160–1165.
[30]
Igari K, Kudo T, Uchiyama H, Toyofuku T, Inoue Y. Indocyanine Green Angiography for the Diagnosis of Peripheral Arterial Disease with Isolated Infrapopliteal Lesions. Annals of Vascular Surgery. 2014; 28: 1479–1484.
[31]
Kang Y, Lee J, Kwon K, Choi C. Dynamic fluorescence imaging of indocyanine green for reliable and sensitive diagnosis of peripheral vascular insufficiency. Microvascular Research. 2010; 80: 552–555.
[32]
Jørgensen LP, Schroeder TV. Micro-lightguide spectrophotometry for tissue perfusion in ischemic limbs. Journal of Vascular Surgery. 2012; 56: 746–752.
[33]
Khalil MA, Kim HK, Hoi JW, Kim I, Dayal R, Shrikhande G, et al. Detection of Peripheral Arterial Disease within the Foot Using Vascular Optical Tomographic Imaging: a Clinical Pilot Study. European Journal of Vascular and Endovascular Surgery. 2015; 49: 83–89.
[34]
Montero-Baker MF, Au-Yeung KY, Wisniewski NA, Gamsey S, Morelli-Alvarez L, Mills JL, et al. The first-in-Man “Si Se Puede” Study for the use of micro-oxygen sensors (MOXYs) to determine dynamic relative oxygen indices in the feet of patients with limb-threatening ischemia during endovascular therapy. Journal of Vascular Surgery. 2015; 61: 1501–1510.e1.
[35]
Boezeman RPE, Becx BP, van den Heuvel DAF, Ünlü Ç, Vos JA, de Vries JPPM. Monitoring of Foot Oxygenation with near-infrared Spectroscopy in Patients with Critical Limb Ischemia Undergoing Percutaneous Transluminal Angioplasty: a Pilot Study. European Journal of Vascular and Endovascular Surgery. 2016; 52: 650–656.
[36]
Landsman A. Visualization of Wound Healing Progression With Near Infrared Spectroscopy: A Retrospective Study. Wounds. 2020; 32: 265–271.
[37]
Neidrauer M, Zubkov L, Weingarten MS, Pourrezaei K, Papazoglou ES. Near Infrared Wound Monitor Helps Clinical Assessment of Diabetic Foot Ulcers. Journal of Diabetes Science and Technology. 2010; 4: 792–798.
[38]
Weingarten MS, Neidrauer M, Mateo A, Mao X, McDaniel JE, Jenkins L, et al. Prediction of wound healing in human diabetic foot ulcers by diffuse near-infrared spectroscopy: a pilot study. Wound Repair and Regeneration. 2010; 18: 180–185.
[39]
Baltrūnas T, Mosenko V, Mackevičius A, Dambrauskas V, Ašakienė I, Ručinskas K, et al. The use of near-infrared spectroscopy in the diagnosis of peripheral artery disease: A systematic review. Vascular. 2021; 30: 715–727.
[40]
Vardi M, Nini A. Near-infrared Spectroscopy for Evaluation of Peripheral Vascular Disease. A Systematic Review of Literature. European Journal of Vascular and Endovascular Surgery. 2008; 35: 68–74.
[41]
Mills JL, Conte MS, Armstrong DG, Pomposelli FB, Schanzer A, Sidawy AN, et al. The Society for Vascular Surgery Lower Extremity Threatened Limb Classification System: Risk stratification based on Wound, Ischemia, and foot Infection (WIfI). Journal of Vascular Surgery. 2014; 59: 220–234.e2.
[42]
Scheeren TWL, Schober P, Schwarte LA. Monitoring tissue oxygenation by near infrared spectroscopy (NIRS): background and current applications. Journal of Clinical Monitoring and Computing. 2012; 26: 279–287.
[43]
Jens S, Marquering HA, Koelemay MJW, Reekers JA. Perfusion Angiography of the Foot in Patients with Critical Limb Ischemia: Description of the Technique. CardioVascular and Interventional Radiology. 2015; 38: 201–205.
[44]
Weingarten MS, Samuels JA, Neidrauer M, Mao X, Diaz D, McGuire J, et al. Diffuse near-infrared spectroscopy prediction of healing in diabetic foot ulcers: a human study and cost analysis: DNIRS prediction of chronic wound healing. Wound Repair and Regeneration. 2012; 20: 911–917.
[45]
Serena TE, Yaakov R, Serena L, Mayhugh T, Harrell K. Comparing near infrared spectroscopy and transcutaneous oxygen measurement in hard-to-heal wounds: a pilot study. Journal of Wound Care. 2020; 29: S4–S9.
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