Skip to main content

2D perfusion angiography: an alternative method to evaluate endovascular intervention for acute lower limb ischemia

Abstract

Background

Despite advances in endovascular techniques to treat acute limb ischemia (ALI), evaluation of clinical outcomes for revascularization remains challenging, especially the accurate quantification of post-endovascular limb perfusion. This study aimed to investigate the accuracy and value of 2D perfusion angiography to evaluate endovascular intervention for ALI.

Methods

A total of 47 patients with ALI were retrospectively analyzed. The transcutaneous oxygen partial pressure (TcPO2) was obtained using laser Doppler blood perfusion monitoring. The ankle-brachial index (ABI) and angiographic images were obtained before and after endovascular intervention. iFlow imaging was used to obtain color-coded images. Regions of interest (ROIs) at the femoral head, knee joint, and ankle joint were selected to obtain the time to peak (TTP). The differences in the TTP between the knee and femoral head regions (TTP difference in the knee area) and between the ankle and knee regions (TTP difference in the ankle area) were observed. The TTP, ABI, and TcPO2 between the complete response (CR), partial response (PR), no response (NR), and amputation (AM) groups were compared. The correlation between TTP changes in the ankle area (ΔTTP) and changes in ABI (ΔABI)/changes in TcPO2 (ΔTcPO2) was analyzed.

Results

There was a significant increase in both TcPO2 and ABI compared with the pre-intervention values (27.75 ± 5.32 vs 40.92 ± 4.62, and 0.35 ± 0.16 vs 0.79 ± 0.15, respectively, all p < 0.01). The post-intervention TTP differences in the knee areas (5.12 ± 2.45 s) and ankle areas (6.93 ± 4.37 s) were significantly faster than pre-intervention TTP differences (7.03 ± 2.57 s and 10.66 ± 4.07 s, respectively, all p < 0.05). The post-operative TTP in the ankle area, post-operative TTP difference in the ankle area, and ΔTTP in the AM group were higher than the values in the CR and PR groups. The ΔTTP demonstrated strong correlation with ΔABI (r = −0.722, p < 0.01) and ΔTcPO2 (r = −0.734, p < 0.01).

Conclusions

2D perfusion angiography with enhanced visual and quantitative analysis exhibits great potential to evaluate the efficacy of endovascular intervention, and provides a quantitative and sensitive tool to evaluate post-endovascular limb perfusion for ALI patients.

Peer Review reports

Background

It is estimated that peripheral arterial disease (PAD) affects about 12% of the global population. With the dramatic lifestyle changes in modern society, diabetes mellitus, hypertension, hyperlipidemia, and metabolic diseases have emerged as high-risk factors for atherosclerosis, which leads to a consequent rise in the incidence of PAD [1]. Acute limb ischemia (ALI) is a common PAD, which refers to a clinical emergency with a sudden decrease in arterial perfusion in the limb due to various causes. ALI is commonly attributed to acute occlusion of the distal artery caused by embolism or hypercoagulation states, which threatens limb viability within a short interval and leaves insufficient time for new blood vessels to compensate for limb perfusion, resulting in severe ischemia of the limb, usually within 2 weeks [2].

Therefore, urgent recognition of ALI as a major vascular emergency and prompt revascularization are crucial for successful treatment. Despite advancements in endovascular techniques and vascular imaging, evaluation of clinical outcomes for revascularization remains challenging, especially accurate quantification of post-endovascular limb perfusion [3]. A thorough assessment of limb perfusion can enable timely diagnosis and evaluation of outcomes of revascularization. Digital subtraction angiography (DSA) is an integral and standard diagnostic tool to assess hemodynamic changes during endovascular intervention. However, angiography can only be used to evaluate therapeutic effects based on vascular morphology and does not truly represent microcirculatory perfusion of ischemic limb tissues. Angiography also requires a simple subjective visual interpretation, which leads to operator-dependent evaluation of endovascular intervention and significant intra/inter-observer variation [4, 5]. Thus, the lack of volumetric characterization and quantitative accuracy of angiography presents challenges in determining success of revascularization.

Two-dimensional perfusion (2DP) imaging is a new technique developed to address the deficits of traditional angiography. The Syngo iFlow imaging technique is a DSA functional imaging technique developed by Siemens Healthineers. This technique integrates the DSA sequence into an image and performs color coding, which provides an objective and quantifiable metric correlated with tissue perfusion to evaluate clinical outcomes of endovascular intervention. iFlow imaging allows clinicians to analyze and calculate a series of DSA original image data and uses time as the main parameter to display the superimposed color-coded map on an image. The time to peak (TTP) for the contrast agent in each pixel is determined based on color changes during iFlow imaging analysis. As a result, when a blood vessel is occluded, iFlow imaging shows that the peak time of the contrast agent in the blood supply area is prolonged, and the displayed color tone is colder [6, 7]. The iFlow image technique was first applied to evaluate cerebral blood perfusion [8] and later to quantitatively evaluate blood perfusion in lower limbs with chronic ischemia [9]. However, there are few studies on the application of iFlow imaging in the diagnosis and assessment of ALI and its treatment. Therefore, this study aimed to investigate the value of iFlow imaging to evaluate endovascular intervention for ALI.

Methods

Patient selection

Patients diagnosed with acute ischemia of the lower extremity and undergoing mechanical thrombectomy in our center between August 2015 and August 2018 were screened. The diagnostic criteria for ALI included acute lower extremity ischemia, a disease duration of less than 2 weeks, and obvious signs and symptoms of lower extremity ischemia (lower extremity pain, numbness, skin pallor, decreased skin temperature, and sensory disturbance). Patients who met the imaging conditions of iFlow imaging technology and who had consistent imaging parameters were further enrolled in this study. Patients with severe cardiac, pulmonary, hepatic and renal insufficiency were excluded. Patients whose affected limb has been treated with amputation were also excluded from this study. Finally, a total of 47 patients diagnosed with ALI between August 2015 and August 2018 were screened for the evaluation of endovascular intervention in this single-center study. The process for cohort establishment is shown in Fig. 1. The severity of ALI in the 47 limbs was characterized using the Rutherford classification system [10]. Demographic and clinical data were obtained from the hospital’s medical database. This retrospective study was approved by the institutional review board of the First Affiliated Hospital of Jinan University. All procedures were in accordance with the ethical standards of the national research committee and with the 1964 Helsinki Declaration.

Fig. 1
figure 1

The flow diagram of the patient selection

Endovascular intervention

Under local anesthesia, contralateral common femoral artery access was obtained with a 6-F crossover sheath. The lesion was crossed intra-luminally with a guide wire (Terumo, Japan). Next, a rheolytic percutaneous mechanical thrombectomy (PMT) device (AngioJet, Boston Scientific) was placed into the lesion. After thrombectomy, if the stenosis caused by thrombus was greater than 50% and the patient had no contraindications to catheter-directed thrombolysis (CDT), a 5-F thrombolysis catheter (Uni-Fuse, Angio Dynamics, NY) was inserted into the residual thrombus. The patient was administered urokinase (Abbokinase) via the thrombolytic catheter (400,000–800,000 U/24 h) for thrombolysis. The duration of thrombolysis was not more than 7 days, and angiography was performed every 2 to 3 days. After thrombolysis, if the stenosis was still greater than 50%, balloon angioplasty was performed. After angioplasty, stenting was implemented if the residual stenosis exceeded 50%.

Technical success and clinical outcomes

The criteria for technical success included residual stenosis ≤ 30% and at least one artery below the knee reached the foot, as revealed by angiography. All 47 patients met these criteria for technical success in this study. The clinical outcomes included complete response (CR), partial response (PR), no response (NR), and amputation (AM). The definitions of the different outcomes were as follows: 1) CR: return to normal pulse in the distal limb after treatment, no gangrene, no sensory and motor impairment; 2) PR: recovery of distal limb pulse after treatment, weaker than the opposite side, and improvement of symptoms; 3) NR: partial recovery of blood flow in the distal artery of the limb after treatment, still with ischemic symptoms; and 4) AM: the distal end of the limb was removed and divided into major and minor amputations.

Image acquisition

DSA images were obtained using an angiographic system (Artis Zeego; Siemens, Germany). Medical restraint bands were used to limit the movement of the affected limb during the angiography, so as not to affect the quality of image acquisition. A 5-F catheter was placed through the 6F contralateral sheath in the affected limb through the common femoral artery for all arteriographic procedures. Four successive DSA scans were performed over the entire lower extremity. The first segment contained the catheter tip and the femoral head, and the C-arm was tilted 30° medially to fully view the superficial and deep femoral arteries. The second segment observed from the anteroposterior view included the knee joint as the lower boundary of the field of view (FOV). The upper boundary of the third segment observed from the anteroposterior view was 5 cm above the upper edge of the patella. The fourth segment of the lower boundary observed from lateral view contained the entire affected foot. A power-injector was set to deliver the contrast material (320 mg iodine/ml) at a flow rate of 3 cc/s. The dose of contrast material was 9 cc for the first three segments and 15 cc for the last segment. A high-pressure syringe was set to a pressure of 300 PSI and the number of angiographic frames was 15 per second.

DSA image postprocessing

The DSA data were immediately transferred to and reconstructed with a Siemens workstation (Artis Zeego Leonardo; Siemens) to generate color-coded images. Regions of interest (ROIs) in the femoral head, knee joint, and ankle joint with a size of 1000 mm2 were selected in the iFlow images. The TTP in each region was measured. The differences in TTP between the knee region and the femoral head region (TTP difference in the knee area) and between the ankle area and the knee area (TTP difference in the ankle area) were calculated. The above angiographic procedures and measurements were performed by two experienced interventional vascular surgeons (Fig. 2).

Fig. 2
figure 2

Standard DSA and iFlow images of the lower extremity. a, c Arteriography before (a) and after (c) endovascular intervention. b, d iFlow processed the same DSA sequence before (b) and after (d) endovascular intervention

Measurement of ABI and TcPO2

Pre- and post-operative ABI measurements were performed using an ABI meter. Before measurement, the patient was allowed to rest for 5–10 minutes in a supine position, and blood pressure cuffs were placed on the patient's upper arms and lower extremities at the foot and ankle, and measured using ultrasonic Doppler, with the auscultation site in the upper arm located at the pulsating brachial artery in the elbow fossa and the auscultation site in the foot and ankle located at the dorsalis pedis or posterior tibial artery. Theystolic pressure of the upper extremity was taken as the higher limit, and the ratio of the systolic pressure of the lower extremity to the systolic pressure of the upper extremity was calculated.

TcPO2 was measured using a TcPO2 detector. The patient was allowed to rest for 5–10 minutes in a supine position at room temperature before measurement, with the dorsum of the affected foot as the measurement site, avoiding skin ulcers, large blood vessels, hair, and bony prominence. The skin was cleaned at the measurement area with 75% ethanol, and after drying, take the electrode fixation patch was applied to the skin between the first toes. We then added an appropriate amount of electrode solution in the patch hole, aligned and connected the arrow mark on the electrode with the patch hole, rotated the electrode 90° clockwise, fixed it in the patch hole, waited for approximately 10 minutes for the value to stabilize, and then recorded the result.

Statistical analysis

Continuous data are presented as the mean ± standard deviation (median), and categorical data are presented as the count (percentage). Statistical analysis was performed using SPSS 16.0 statistical software (version 16.0; IBM Corporation, USA). Any change in the TTP, TTP difference, ABI, and TcPO2 for each ROI before and after an intervention was analyzed using the paired t test. The TTP, ABI, and TcPO2 between the CR, PR, NR, and AM groups were compared using one-way analysis of variance. The correlations between ΔTTP and ΔABI/ΔTcPO2 were analyzed using Pearson’s analysis. A confidence level of 95% was used, and a p value < 0.05 was considered statistically significant.

Results

The baseline demographics and characteristics of the patient population are shown in Table 1. A total of 47 patients with 47 ALI limbs and a mean age of 67.53 ± 8.09 years (age range: 56 to 83 years) were registered in this study. The onset time of symptoms ranged from 3 hours to 120 hours (mean, 38.98 ± 33.58 hours). The obstruction was located in the common iliac artery in six patients, in the external iliac artery in three patients, in the common femoral artery in three patients, and distal from the common femoral artery in the remaining 30 patients. Among the 47 patients, there were 32 cases (68.09%) caused by embolization, 11 cases (23.40%) caused by thrombosis, and 4 cases (8.51%) of unknown cause. CDT was performed for 29 patients. Thirty-two patients underwent balloon dilatation. Eighteen patients eventually underwent stent implantation (the stent was placed in the iliac artery in seven cases, in the common femoral artery in two cases, in the superficial femoral artery in 11 cases, and in the popliteal artery in four cases). The technical success rate was 100%, indicating all patients recovered at least one tibial vessel with flow into the foot. Five patients (10.6%) eventually underwent amputation. Among these five patients, three had preoperative grade IIB ALI, and two had preoperative grade III ALI. Among the three patients with grade IIB ALI, one showed skin necrosis of the calf and foot after the operation. After debridement and other treatments, the wounds healed poorly, and muscle necrosis occurred. The other two patients received treatments with PMT and CDT. However, the residual thrombus remained in the inferior genicular artery, and the patients developed foot and toe ulcers and showed difficulty healing after active debridement and vacuum aspiration. These three patients eventually underwent below-the-knee amputation. The two patients with grade III ALI developed heart and kidney dysfunction after the operation, and the blood flow in the limb was poor, motor function was lost, and the patients underwent mid-thigh amputation. In this study, 13 cases (27.7%) achieved CR, and 18 cases (38.3%) achieved a PR. However, 11 cases (23.4%) were NR, and 5 cases (10.6%) underwent AM. The pre- and post-operative parameters for the 47 patients are shown in Table 2. The respective TTP differences in the knee and ankle area were 7.03 ± 2.57 s and 10.66 ± 4.07 s preoperatively and 5.12 ± 2.45 s and 6.93 ± 4.37 s postoperatively (all p < 0.05). The post-operative TTP in the ankle area, post-operative TTP difference in the ankle area, and ΔTTP in the AM group are higher than the values in the CR and PR groups (Table 3). Pearson correlation analysis showed that ΔTTP was negatively correlated with ΔABI and ΔTcPO2 (Fig. 3).

Fig. 3
figure 3

Relationship between TTP and ABI/TcPO2. a, b Pearson correlation analysis showed the correlation between the changes in TTP (ΔTTP) and ABI (ΔABI) (r = −0.722, p < 0.01), and the correlation between the changes in TTP (ΔTTP) and TcPO2 (ΔTcPO2) in the ankle joint area (r = −0.734, p < 0.01)

Table 1 Demographic and clinical characteristics of 47 patients ALI
Table 2 Comparison of pre- and post-operative parameters of patients
Table 3 Comparison of patients with different clinical outcomes

Discussion

Our study showed that 2D perfusion angiography enables quantitative analysis of changes in tissue perfusion. The limb perfusion across all patients in this study was reflected accurately by iFlow imaging during endovascular intervention for ALI. A significant increase in TTP differences in both the knee and ankle areas was observed after endovascular intervention, and the ΔTTP showed strong correlations with ΔABI and ΔTcPO2. The post-operative TTP in the ankle area was significantly higher in patients in the AM group compared to patients in the CR and PR groups. Our data demonstrate that 2D perfusion angiography provides valuable insights for evaluating perfusion states in patients with ALI, especially in real-time evaluation of endovascular intervention.

ALI is a clinical emergency that requires urgent diagnosis and effective treatment. With the development of interventional instruments and techniques, endovascular intervention has become an important therapy for ALI and is increasingly used in the clinical rescue of limbs to avoid amputation [11]. Conventional angiography establishes an image to delineate the intraluminal flow status, which enables the diagnosis of disease severity and assessment of endovascular intervention. However, this modality allows only visualization and qualitative assessment of the blood flow status of blood vessels, and lacks quantitative ability to reflect the microcirculation and tissue perfusion [12]. iFlow imaging emerged as an innovated technique that provides the visualization of anatomy as well as functional information of the microcirculation and tissue perfusion without increasing the amount of contrast agent and radiation dose in patients.

iFlow is DSA functional imaging software that can be used to calculate and process DSA contrast images. iFlow detects the signal intensity of contrast material flowing through a specified ROI and generates a wealth of quantitative information, including the area under the curve (AUC), arrival time (AT), leg transit time (LTT), mean transit time (MTT), TTP, and wash-in rate (WIR), which allows accurate assessment of tissue perfusion [13]. Hence, iFlow images contain information representing the perfusion of the tissue, and thus point and regional measurements can be used to quantify the tissue perfusion parameters in ROIs [14]. Numerous reports have shown that iFlow imaging technology has been applied to evaluate the efficacy of endovascular intervention for lower extremity arterial obstructive disease, and has been confirmed to accurately reflect hemodynamic changes after angioplasty [15,16,17]. Jens et al. [15] used post-processing angiographic perfusion imaging to generate a time-density curve, which accurately captured changes in foot perfusion in patients with severe limb ischemia after treatment. However, the current application of iFlow technology to assess limb ischemia is limited due to chronic limb ischemia [9], and there have been no reports on the application of iFlow technology for the assessment of ALI. Current methods for assessing ALI severity are not sufficient to fully reveal the microcirculation and tissue perfusion.

It is challenging to determine vascular status due to vascular occlusion in the limb before endovascular intervention, and selecting only the muscle as the ROI does not directly reflect improvements in blood flow after endovascular intervention. Therefore, in the present study, a region containing muscles and blood vessels was selected as the ROI, and a bone marker was included to determine the position of the ROI before and after intervention. Considering the physiologic and anatomic differences across patients, such as volume status and blood pressure, which may lead to wide variations in TTP in the assigned ROI, the TTP differences in the knee area and the ankle joint area derived from TTP were used as observation indexes. The guidelines [11, 18] recommend amputation for patients with grade III ALI. However, in clinical practice, some patients often decline amputation, and thus endovascular intervention is required to save the limb. In the present study, five of the 47 patients were eventually treated with amputation. The reported amputation rate in ALI patients after endovascular intervention ranges from 10–15% [19, 20], which is consistent with our study’s amputation rate of 10.6%. In addition, we found significant differences in both TTP and TTP differences between the knee and ankle areas before and after endovascular intervention. ABI and TcPO2 before and after intervention were also significantly different. Furthermore we found significant differences in both post-operative TTP in the ankle area, post-operative TTP difference in the ankle area, and ΔTTP differences between the AM group and CR/PR groups. These findings suggest that (1) blood flow perfusion of the affected limb significantly improved after endovascular intervention, and (2) TTP determined by iFlow imaging can faithfully reflect therapeutic effects at the affected limb, which could be used to predict the prognosis of the affected limb. Intriguingly, no significant difference in the pre- and post-intervention TTP of the femoral head region was observed, which may be due to a large variation in the location of the plane of obstruction among different patients. Therefore, complete opening of the affected blood vessels of the iliac axis had no significant effect on blood flow in the common femoral artery.

The TTP of the knee and ankle of normal patients was not evaluated in this study because it would have been necessary to perform invasive angiography on normal patients to obtain the TTP. Rather, limb TTP was used as a reference because the contralateral limb itself may also have vascular disease.

Our study has some limitations. First, the study was a retrospective study with a small sample size. Further validation in prospective studies with a large cohort of patients is needed in the future to draw definitive conclusions. Second, iFlow image quality is affected by angiographic limb movement, which may have caused measurement errors. Lastly, the purpose of this study was to evaluate the accuracy and value of iFlow technology in the assessment of perioperative tissue perfusion in ALI patients, and further studies are needed to investigate whether iFlow technology can be used to predict clinical outcomes of ALI.

Conclusions

In conclusion, 2D perfusion angiography with enhanced visual and quantitative analysis exhibits great potential for evaluating the efficacy of endovascular intervention. However, whether TTP can be used as a marker to guide endovascular intervention warrants further study.

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author upon reasonable request.

Abbreviations

ALI:

Acute limb ischemia

2DP:

Two-dimensional perfusion

TcPO2:

Transcutaneous oxygen partial pressure

ABI:

Ankle-brachial index

ROIs:

Regions of interest

TTP:

Time to peak

PAD:

Peripheral arterial disease

DSA:

Digital subtraction angiography

PMT:

Percutaneous mechanical thrombectomy

CDT:

Catheter-directed thrombolysis

FOV:

Field of view

AUC:

Area under the curve

AT:

Arrival time

LTT:

Leg transit time

MTT:

Mean transit time

WIR:

Wash-in rate

ΔTTP:

TTP changes in the ankle area

ΔABI:

The changes in the ABI

ΔTcPO2:

The changes in the TcPO2

CR:

Complete response

PR:

Partial response

NR:

No response

AM:

Amputation

References

  1. Aboyans V, Ricco JB, Bartelink MEL, Björck M, Brodmann M, Cohnert T, et al. Editor’s Choice—2017 ESC Guidelines on the Diagnosis and Treatment of Peripheral Arterial Diseases, in collaboration with the European Society for Vascular Surgery (ESVS). Eur J Vasc Endovasc Surg. 2018;55:305–68.

    Article  PubMed  Google Scholar 

  2. Creager MA, Kaufman JA, Conte MS. Clinical practice. Acute limb ischemia. N Engl J Med. 2012;366:2198–206.

    Article  PubMed  CAS  Google Scholar 

  3. Katsui S, Inoue Y, Yamamoto Y, Igari K, Kudo T, Uetake H. In patients with severe peripheral arterial disease, revascularization-induced improvement in lower extremity ischemia can be detected by laser speckle contrast imaging of the fluctuation in blood perfusion after local heating. Ann Vasc Surg. 2018;48:67–74.

    Article  PubMed  Google Scholar 

  4. Schmittling ZC, McLafferty RB, Danetz JS, Hussain SM, Ramsey DE, Hodgson KJ. The inaccuracy of simple visual interpretation for measurement of carotid stenosis by arteriography. J Vasc Surg. 2005;42:62–6.

    Article  PubMed  Google Scholar 

  5. Guimaraes JA, Victor EG, de Britto Leite MR, Gomes JM, Victor Filho E, Reyes Liveras J. Reliability of the interpretation of coronary angiography by the simple visual method. Arq Bras Cardiol. 2000;74:300–8.

    Article  PubMed  CAS  Google Scholar 

  6. Ipema J, Heinen SGH, Janssens AJB, Potters FH, Ünlü Ç, de Vries JPM, et al. Repeatability, and intra-observer and interobserver agreement of two dimensional perfusion angiography in patients with chronic limb threatening ischaemia. Eur J Vasc Endovasc Surg. 2021;61:980–7.

    Article  PubMed  Google Scholar 

  7. Ng JJ, Papadimas E, Dharmaraj RB. Assessment of flow after lower extremity endovascular revascularisation: a feasibility study using time attenuation curve analysis of digital subtraction angiography. EJVES Short Rep. 2019;45:1–6.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Strother CM, Bender F, Deuerling-Zheng Y, Royalty K, Pulfer KA, Baumgart J, et al. Parametric color coding of digital subtraction angiography. AJNR Am J Neuroradiol. 2010;31:919–24.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  9. Lou WS, Su HB, Huang KY, He X, Chen L, Chen GP, et al. Evaluation of distal hemodynamic changes of lower extremity after endovascular treatment: correlation between measurements of color-coded quantitative digital subtraction angiography and ankle-brachial index. J Vasc Interv Radiol. 2016;27:852–8.

    Article  PubMed  Google Scholar 

  10. Aboyans V, Ricco JB, Bartelink MEL, Björck M, Brodmann M, Cohnert T, et al. 2017 ESC Guidelines on the Diagnosis and Treatment of Peripheral Arterial Diseases, in collaboration with the European Society for Vascular Surgery (ESVS): Document covering atherosclerotic disease of extracranial carotid and vertebral, mesenteric, renal, upper and lower extremity arteriesEndorsed by: the European Stroke Organization (ESO)The Task Force for the Diagnosis and Treatment of Peripheral Arterial Diseases of the European Society of Cardiology (ESC) and of the European Society for Vascular Surgery (ESVS). Eur Heart J. 2018;39:763–816.

    Article  PubMed  Google Scholar 

  11. Gerhard-Herman MD, Gornik HL, Barrett C, Barshes NR, Corriere MA, Drachman DE, et al. 2016 AHA/ACC Guideline on the Management of Patients With Lower Extremity Peripheral Artery Disease: Executive Summary: A Report of the American College of Cardiology/American Heart Association Task Force on Clinical Practice Guidelines. J Am Coll Cardiol. 2017;69:1465–508.

    Article  PubMed  Google Scholar 

  12. Rajebi MR, Benenati MJ, Schernthaner MB, Walker G, Gandhi RT, Pena CS, et al. Reliability and accuracy of simple visual estimation in assessment of peripheral arterial stenosis. J Vasc Interv Radiol. 2015;26:890–6.

    Article  PubMed  Google Scholar 

  13. Verschuur AS, Groot Jebbink E, Lo ANPE, van Weel V. Clinical validation of 2D perfusion angiography using Syngo iFlow software during peripheral arterial interventions. Vascular. 2021;29:380–6.

    Article  PubMed  CAS  Google Scholar 

  14. Hunter GJ, Hunter JV, Brown NJ. Parametric imaging using digital subtraction angiography. Br J Radiol. 1986;59:7–11.

    Article  PubMed  CAS  Google Scholar 

  15. Jens S, Marquering HA, Koelemay MJ, Reekers JA. Perfusion angiography of the foot in patients with critical limb ischemia: description of the technique. Cardiovasc Intervent Radiol. 2015;38:201–5.

    Article  PubMed  Google Scholar 

  16. Murray T, Rodt T, Lee MJ. Two-dimensional perfusion angiography of the foot: technical considerations and initial analysis. J Endovasc Ther. 2016;23:58–64.

    Article  PubMed  Google Scholar 

  17. Reekers JA, Koelemay MJ, Marquering HA, van Bavel ET. Functional imaging of the foot with perfusion angiography in critical limb ischemia. Cardiovasc Intervent Radiol. 2016;39:183–9.

    Article  PubMed  Google Scholar 

  18. Björck M, Earnshaw JJ, Acosta S, Bastos Gonçalves F, Cochennec F, Debus ES, et al. Editor’s Choice—European Society for Vascular Surgery (ESVS) 2020 Clinical Practice Guidelines on the Management of Acute Limb Ischaemia. Eur J Vasc Endovasc Surg. 2020;59:173–218.

    Article  PubMed  Google Scholar 

  19. Earnshaw JJ, Whitman B, Foy C. National Audit of Thrombolysis for Acute Leg Ischemia (NATALI): clinical factors associated with early outcome. J Vasc Surg. 2004;39:1018–25.

    Article  PubMed  Google Scholar 

  20. Eliason JL, Wainess RM, Proctor MC, Dimick JB, Cowan JA Jr, Upchurch GR Jr, et al. A national and single institutional experience in the contemporary treatment of acute lower extremity ischemia. Ann Surg. 2003;238:382–9. discussion 9–90.

    Article  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

None.

Funding

None.

Author information

Authors and Affiliations

Authors

Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by WL, HY, YZ, HZ, and CL. The first draft of the manuscript was written by WL and all authors commented on subsequent versions of the manuscript. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Chengzhi Li.

Ethics declarations

Ethics approval and consent to participate

The study protocol was reviewed and approved by the institutional review board of the First Affiliated Hospital of Jinan University and was in accordance with the declarations of Helsinki. Informed consent was obtained from all individual participants included in the study.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, W., You, H., Zhang, Y. et al. 2D perfusion angiography: an alternative method to evaluate endovascular intervention for acute lower limb ischemia. BMC Cardiovasc Disord 22, 522 (2022). https://doi.org/10.1186/s12872-022-02979-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12872-022-02979-x

Keywords