Abstract
With technological improvements in the endovascular armamentarium, there have been tremendous advances in catheter-based femoropopliteal artery intervention during the last decade. However, standardization of the methodology for assessing outcomes has been underappreciated, and unvalidated peak systolic velocity ratios (PSVRs) of 2.0, 2.4, and 2.5 on duplex ultrasonography have been arbitrarily but routinely used for assessing restenosis. Quantitative vessel analysis (QVA) is a widely accepted method to identify restenosis in a broad spectrum of cardiovascular interventions, and PSVR needs to be validated by QVA. This multidisciplinary review is intended to disseminate the importance of QVA and a validated PSVR based on QVA for binary restenosis in contemporary femoropopliteal intervention.
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
Introduction
The burden of atherosclerotic peripheral artery disease (PAD) is projected to increase globally [1]. The femoropopliteal (FP) artery is the most common site of PAD involvement. With technological improvements in the endovascular armamentarium, catheter-based FP intervention has gained popularity during the last decade [2,3,4,5,6,7]. Although the need for quantitative vessel analysis (QVA) for objective evaluation in FP intervention outcomes has been emphasized for over a decade [8], a standard methodology for assessing restenosis has yet to be established.
Meanwhile, because of its noninvasive nature, repeatability, and lack of a need for contrast agents, duplex ultrasonography (DUS) has been widely used without scientific validation in the identification of restenosis after FP intervention. In order to correct this chaotic situation, there is a strong movement to investigate the relationship between the peak systolic velocity ratio (PSVR) based on DUS and restenosis based on QVA [9, 10]. This multidisciplinary review from Endovascular Asia is intended to disseminate the importance of QVA and a validated PSVR based on QVA for binary restenosis in contemporary FP intervention.
QVA in FP intervention
Need for dissemination of QVA
Visual interpretation of angiography is subject to substantial intra- and inter-observer variability. Therefore, the methodology of QVA was initially introduced as quantitative coronary analysis (QCA) in the field of coronary intervention in the mid-1980s to permit more objective, accurate, and reproducible visual assessment of lesion severity compared to angiography [11]. QCA has been developed not only to qualify lesion severity, but also to objectively evaluate the outcomes of endovascular therapy, including balloon angioplasty or stent. Thanks to the dissemination of this standard methodology, QCA has offered highly insightful findings as a result of landmark clinical trials and daily clinical practice [12]. Given the history of coronary intervention, an awareness of the importance of QVA is required for the development of FP intervention.
Methodology of FP QVA
For QVA, an angiogram of the entire FP artery needs to be obtained using the anteroposterior and/or oblique view. To determine lesion severity, QVA using an automated edge detection algorithm should be performed in a blinded fashion (Fig. 1). In most cases, a catheter tip placed at the common femoral artery is unavailable as a calibration method because movement of the catheterization table is required for angiographic evaluation of the entirety of FP lesions. It is therefore impossible to calculate the reference vessel and lumen diameters and lesion length, and only the percent diameter stenosis (%DS) can be calculated as an indicator of the degree of restenosis based on a lumen contour and an assumed vessel as the reference vessel that are automatically drawn in the QVA system. The formula of %DS is as follows; minimum lumen diameter in the lesion or within the stent/the assumed vessel diameter. If the entire FP artery is stented, then the control segment, which is evaluated and measured against in-stent stenosis, is defined as being within a widely patent segment of the proximal or distal stent. In cases of multiple restenosis, the most critical restenosis can be identified (Fig. 2). Also, in cases of nitinol stenting with continued radial force and expansion over time, greater attention might need to be paid at follow-up to the gap elicited between the stent line and the luminal edge (Fig. 3). Fifty percent diameter stenosis is considered to be significant based on theoretical and experimental studies [13]. Indeed, angiographically detected lesions with a %DS of 50% or greater have been historically considered to be a dichotomous event, or “binary restenosis”, in the field of cardiovascular intervention [14]. Thus, binary restenosis is defined as a %DS > 50% on QVA for each lesion or within the stent.
PSVR in FP intervention
DUS as an alternative to angiography
Over 3 decades ago, Jager et al. [15] proposed a system for classifying the degree of arterial stenosis in the lower limbs on the basis of the Doppler waveform shape, the degree of spectral broadening, and the increase in peak systolic velocity (PSV) within the stenosis. However, spectral broadening was too subjective and the waveform shape was affected by a variety of factors, including cardiac output and rhythm, resistance of the vascular bed, integrity of the intima, and both proximal and distal disease [16,17,18]. PSVR was found to be more closely correlated with the degree of stenosis than PSV [19]. This was the beginning of PSVR as an alternative clinical index to angiographic narrowing.
Practice of DUS
DUS employing a commercially available machine should be performed by experienced vascular specialists. All patients are examined in a supine position using a duplex scanner with a 7.5- or 8-MHz transducer [9, 10]. The segment of interest after balloon angioplasty or stenting can be visualized using combined B-mode and color-Doppler ultrasound. The Doppler signal is acquired at an angle of 60 degrees or as small as possible, and velocity spectra are recorded proximal to and at the site of maximum flow disturbance. Doppler spectral analysis can determine the highest PSV (PSV at the lesion) as well as the PSV in the area adjacent to the normal-looking segment (PSV proximal). PSVR can be calculated by the following formula: PSV at the lesion/PSV proximal (Figs. 4, 5).
Less-validated PSVR without the use of QVA
In the 1990s, the relationship between DUS and angiography was evaluated, and it was suggested that on angiography, 50% diameter reduction by inherently flawed “visual estimation” was equivalent to a PSVR of 2.0–3.0 in the lower limb arteries, including the femoral artery, while it was possible to have different PSVR cut-off points for the iliac, common femoral, superficial femoral, popliteal, and crural arteries [19,20,21,22,23]. Even in the 2000s, two studies that did not involve the use of QVA focused on the optimal PSVR in the FP artery (Table 1) [24, 25]. According to the study of Schlager et al. [24], in which the majority of cases were de novo lesions (de novo lesion in 97%, restenosis in 3%), a PSVR of 2.4 indicated 50% stenosis with a sensitivity of 81%, specificity of 93%, positive predictive value (PPV) of 84%, and negative predictive value (NPV) of 91%. According to the study of Baril et al. [25], PSVR was more accurate than PSV, and a PSVR of 1.5 yielded a sensitivity of 93%, specificity of 89%, PPV of 96%, and NPV of 81% in terms of estimating in-stent restenosis. Reflecting the lack of scientifically validated PSVR values, PSVRs of 2.0, 2.4, and 2.5 have been arbitrarily but routinely employed, even in contemporary FP intervention studies. Therefore, scientifically validated PSVR criteria based on QVA are indispensable.
Derivation of PSVR threshold for restenosis based on QVA
In the 2010s, 2 retrospective studies (the study of Kawarada et al. in 2013 and that of Macharzina et al. in 2015) investigated the relationship between DUS parameters and %DS derived by QVA in the context of restenosis after bare-metal nitinol stenting and balloon angioplasty in the FP arteries [9, 10]. In these studies, compared to PSV, PSVR yielded a better correlation with %DS, suggesting that PSVR can provide better performance than PSV in terms of correlation with angiographic narrowing, both in unstented and stented FP lesion assessment.
According to receiver operating characteristic (ROC) analysis in the study of Macharzina et al. [9], the optimal threshold for detecting binary restenosis in an unstented FP artery was 2.6 for a single stenosis, with a sensitivity of 98%, specificity of 94%, PPV of 98%, and NPV of 94%, compared to 2.6 for multisegmental stenoses, with a sensitivity of 87%, specificity of 93%, PPV of 45%, and NPV of 99%. These data suggest that the accuracy for multisegmental restenosis is inferior to that for single restenosis even though the optimal cut-off threshold is the same. In the study of Kawarada et al. [10], ROC analysis identified a PSVR of 2.85 as the best cut-off criterion for restenosis in a stented FP artery, with a sensitivity of 88%, specificity of 84%, PPV of 85%, and NPV of 88% (Table 1). These findings suggest that we might need to consider a different optimal PSVR for QVA-based restenosis depending on whether the FP arteries are unstented or stented. The PSVR discrepancy between the studies of Macharzina et al. and Kawarada et al. (PSVR 2.6 and 2.85, respectively) may be due to altered arterial biomechanical properties following stent implantation, with the resultant stent–arterial complex decreasing FP artery compliance; this would in turn cause elevated blood flow velocity, PSV, and PSVR (Fig. 6).
Furthermore, the PSVR threshold derived from QVA appears to be higher than that derived from visual estimation analysis, especially in the context of in-stent restenosis (PSVR 2.85 in Kawarada et al.’s study and PSVR 1.5 in Baril et al.'s study). In the setting of visual estimation, stent diameter can be the reference diameter, and %DS can be calculated by the following formula: (stent diameter − in-stent minimum lumen diameter)/stent diameter × 100. Therefore, %DS based on QVA could be lower than %DS based on visual estimation analysis (Fig. 7), and consequently the optimal PSVR for in-stent restenosis (50% stenosis) could be higher in QVA than in visual estimation analysis.
Drawbacks of PSVR
The fact that the assessment of DUS might be inconclusive in nearly 20% of cases in clinical practice needs to be taken seriously [26]. The limitations of DUS are as follows (Fig. 8): (1) subtotal reocclusion, whether stented or unstented, does not necessarily represent high-velocity flow; (2) the performance of DUS for detecting restenosis within the diffusely extended significant intimal hyperplasia is not elucidated yet; (3) during surveillance, identification of unstented lesions such as those after plain or drug-coated balloon angioplasty might be challenging due to lack of landmarks; (4) severely calcified vessels do not permit clear visualization or measurement of flow velocity; and (5) ultrasound quality is dependent on operator skill and ultrasound machine.
Unlike QVA, PSVR is potentially subject to intra- and inter-observer variability [27]. Also, it is noteworthy that flow velocity can be influenced by vessel compliance. Therefore, in addition to the extent of underlying arterial calcification and calcified intimal hyperplasia, a variety of nitinol stents with distinct mechanical properties, rigidities, degrees of continued expansion due to radial force over time, and stent platforms might potentially yield heterogenous flow velocities, PSVs, and cut-off thresholds of PSVR for restenosis. In particular, at the stent edge where vessel compliance can change drastically, PSVR might be inconsistent. Furthermore, in parallel with the development of new devices, it remains unclear whether downstream effect of drug particles or excipient from drug-eluting devices can affect flow velocity [28], and a late lumen loss after the use of drug-eluting device might be an ongoing dynamic process. We emphasize the need for recognizing the drawbacks of PSVR when applying and interpreting DUS in clinical trials and clinical practice.
Conclusions
From the viewpoint of methodology standardization, QVA should be the mainstay in contemporary FP intervention. If PSVR is used to assess restenosis as an alternative to QVA, an optimal PSVR criteria should be derived from QVA. As of today, based on the currently available studies utilizing DUS and QVA, a PSVR of 2.6 for unstented lesions and a PSVR of 2.85 for stented lesions are valid to identify restenosis in the FP artery.
References
Fowkes FG, Rudan D, Rudan I, Aboyans V, Denenberg JO, McDermott MM, Norman PE, Sampson UK, Williams LJ, Mensah GA, Criqui MH. Comparison of global estimates of prevalence and risk factors for peripheral artery disease in 2000 and 2010: a systematic review and analysis. Lancet. 2013;382:1329–40.
Yokoi Y. How should recent endovascular trials for femoropopliteal artery disease be interpreted? Cardiovasc Interv Ther. 2017;32:106–13.
Kawarada O, Noguchi T, Yasuda S. Longitudinal cracking with a guidewire tail for extremely calcified lesions in infrainguinal arteries: PICKING technique. Cardiovasc Intervent Radiol. 2018;41:313–6.
Iwata Y, Ueshima D, Jujo K, Kaneko N, Umemoto T, Utsunomiya M, Doijiri T, Murata T, Miyazaki T, Yamaguchi T, Kobayashi Y. Crossover stenting across the deep femoral artery entry: a multicenter retrospective study. Cardiovasc Interv Ther. 2018;33:372–8.
Kawarada O, Nakai M, Nishimura K, Miwa H, Iwasaki Y, Kanno D, Nakama T, Yamamoto Y, Ogata N, Nakamura M, Yasuda S. Antithrombotic therapy after femoropopliteal artery stenting: 12-month results from Japan Postmarketing Surveillance. Heart Asia. 2019;11:e011114.
Funabashi S, Kawarada O, Yagyu T, Noguchi T, Yasuda S. The PICKING technique for self-expanding nitinol stent expansion of an extremely calcified lesion in the femoropopliteal artery: the tail makes the difference. Cardiovasc Interv Ther. 2019;34:74–5.
Kawarada O, Zen K, Hozawa K, Ayabe S, Huang HL, Choi D, Kim SH, Kim J, Kato T, Tsubakimoto Y, Nakama T, Ichihashi S, Fujimura N, Higashimori A, Fujihara M, Sato T, Yan BP, Pang SY, Wongwanit C, Leong YP, Chua B, George RK, Yokoi Y, Motomura H, Obara H. Contemporary critical limb ischemia: Asian multidisciplinary consensus statement on the collaboration between endovascular therapy and wound care. Cardiovasc Interv Ther. 2018;33:297–312.
Diehm N, Baumgartner I, Jaff M, Do DD, Minar E, Schmidli J, Diehm C, Biamino G, Vermassen F, Scheinert D, van Sambeek MR, Schillinger M. A call for uniform reporting standards in studies assessing endovascular treatment for chronic ischaemia of lower limb arteries. Eur Heart J. 2007;28:798–805.
Macharzina RR, Schmid SF, Beschorner U, Noory E, Rastan A, Vach W, Schwarzwälder U, Sixt S, Bürgelin K, Neumann FJ, Zeller T. Duplex ultrasound assessment of native stenoses in the superficial femoral and popliteal arteries: a comparative study examining the influence of multisegment lesions. J Endovasc Ther. 2015;22:254–60.
Kawarada O, Higashimori A, Noguchi M, Waratani N, Yoshida M, Fujihara M, Yokoi Y, Honda Y, Fitzgerald PJ. Duplex criteria for in-stent restenosis in the superficial femoral artery. Catheter Cardiovasc Interv. 2013;81:E199–205.
Serruys PW, Reiber JH, Wijns W, et al. Assessment of percutaneous transluminal coronary angioplasty by quantitative coronary angiography: diameter versus densitometric area measurements. Am J Cardiol. 1984;54:482–8.
Collet C, Onuma Y, Cavalcante R, Grundeken M, Généreux P, Popma J, Costa R, Stankovic G, Tu S, Reiber JHC, Aben JP, Lassen JF, Louvard Y, Lansky A, Serruys PW. Quantitative angiography methods for bifurcation lesions: a consensus statement update from the European Bifurcation Club. EuroIntervention. 2017;13:115–23.
Berguer R, Hwang NH. Critical arterial stenosis: a theoretical and experimental solution. Ann Surg. 1974;180:39–50.
Roubin GS, King SB 3rd, Douglas JS Jr. Restenosis after percutaneous transluminal coronary angioplasty: the Emory University Hospital experience. Am J Cardiol. 1987;60:39B–43B.
Jager KA, Phillips DJ, Martin RL, Hanson C, Roederer GO, Langlois YE, Ricketts HJ, Strandness DE Jr. Noninvasive mapping of lower limb arterial lesions. Ultrasound Med Biol. 1985;11:515–21.
Legemate DA, Teeuwen C, Hoeneveld H, Ackerstaff RG, Eikelboom BC. The potential of duplex scanning to replace aorto-iliac and femoro-popliteal angiography. Eur J Vasc Surg. 1989;3:49–54.
Leng GC, Fowkes FG, Allan PL, Ruckley CV. Doppler colour flow imaging in peripheral arterial disease. Br J Hosp Med. 1991;45:200–7.
Zierler RE. Duplex and color-flow imaging of the lower extremity arterial circulation. Semin Ultrasound CT MR. 1990;11:168–79.
Leng GC, Whyman MR, Donnan PT, Ruckley CV, Gillespie I, Fowkes FG, Allan PL. Accuracy and reproducibility of duplex ultrasonography in grading femoropopliteal stenoses. J Vasc Surg. 1993;17:510–7.
Polak JF, Karmel MI, Mannick JA, O’Leary DH, Donaldson MC, Whittemore AD. Determination of the extent of lower-extremity peripheral arterial disease with color-assisted duplex sonography: comparison with angiography. AJR Am J Roentgenol. 1990;155:1085–9.
Legemate DA, Teeuwen C, Hoeneveld H, Ackerstaff RG, Eikelboom BC. Spectral analysis criteria in duplex scanning of aortoiliac and femoropopliteal arterial disease. Ultrasound Med Biol. 1991;17:769–76.
Ranke C, Creutzig A, Alexander K. Duplex scanning of the peripheral arteries: correlation of the peak velocity ratio with angiographic diameter reduction. Ultrasound Med Biol. 1992;18:433–40.
Aly S, Sommerville K, Adiseshiah M, Raphael M, Coleridge Smith PD, Bishop CC. Comparison of duplex imaging and arteriography in the evaluation of lower limb arteries. Br J Surg. 1998;85:1099–102.
Schlager O, Francesconi M, Haumer M, Dick P, Sabeti S, Amighi J, Mlekusch W, Koppensteiner R, Minar E, Schillinger M. Duplex sonography versus angiography for assessment of femoropopliteal arterial disease in a “real-world” setting. J Endovasc Ther. 2007;14:452–9.
Baril DT, Rhee RY, Kim J, Makaroun MS, Chaer RA, Marone LK. Duplex criteria for determination of in-stent stenosis after angioplasty and stenting of the superficial femoral artery. J Vasc Surg. 2009;49:133–9.
Ramaswami G, Al-Kutoubi A, Nicolaides AN, Dhanjil S, Griffin M, Belcaro G, Coen LD. The role of duplex scanning in the diagnosis of lower limb arterial disease. Ann Vasc Surg. 1999;13:494–500.
Ubbink DT, Fidler M, Legemate DA. Interobserver variability in aortoiliac and femoropopliteal duplex scanning. J Vasc Surg. 2001;33:540–5.
Cremers B, Binyamin G, Clever YP, Seifert P, Konstantino E, Kelsch B, Bienek S, Speck U, Scheller B. A novel constrained, paclitaxel-coated angioplasty balloon catheter. EuroIntervention. 2017;12:2140–7.
Funding
This article was supported in part by Endovascular Asia, a nonprofit physician education and research meeting.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of interest
Osami Kawarada reports honorarium for lectures and advisory board fees from Boston Scientific Corporation, honorarium for lectures and research grants from Terumo. Naoki Fujimura reports consulting fee from Cook Medical, Endologix, and W.L. Gore. Bryan P. Yan reports honorarium of lectures from Boston Scientific Corporation, Cook Medical, Medtronic; research grants from Medtronic, Boston Scientific Corporation, and consultancy fee from Medtronic and Cook Medical. Robbie George reports honorariums or speaker fees or travel and/or research support from the following organizations: Boston Scientific, Bard India, Medtronic India, Cook India, and Abbot India.
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 distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
About this article
Cite this article
Kawarada, O., Hozawa, K., Zen, K. et al. Peak systolic velocity ratio derived from quantitative vessel analysis for restenosis after femoropopliteal intervention: a multidisciplinary review from Endovascular Asia. Cardiovasc Interv and Ther 35, 52–61 (2020). https://doi.org/10.1007/s12928-019-00602-z
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12928-019-00602-z