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Flow-Mediated Dilatation: Learning Curve Study with a Novice Operator

Abstract

Background

Performing reproducible flow-mediated dilatation (FMD) measurements can be challenging, especially among inexperienced operators. Our aim was to present the detailed learning curve of a novice operator.

Methods

Following a one-week basic training period, the operator performed duplicate measurements on 6–8 individuals per week, for six weeks. The operator followed the recommendations of the most recent guideline. Duplex ultrasound was used for the simultaneous and continuous measurement of brachial artery diameter and local blood flow velocity. Following a 1-min recording of baseline diameter (D), FMD was measured after a 5-min period of occlusion of the proximal forearm vessels. Inter-session coefficient of variation (CV) values for D and FMD were calculated for each week.

Results

The number of volunteers assessed each week were the following: 8, 7, 7, 6, 7, 7 individuals. CV values for both D and FMD exhibited a decreasing trend over the training period, ending at 1.73% for D and 14.24% for FMD at week 6. These CV values are within the range outlined in the most recent FMD guideline for proficiency.

Conclusion

Within a reasonable timeframe, and with careful adherence to measurement guidelines, the attainment of sound reproducibility in FMD measurements by a novice operator is feasible.

1 Introduction

Brachial flow-mediated dilatation (FMD) measurement is a major, non-invasive technique, for the assessment of vascular endothelial function [1, 2]. FMD is frequently measured in experimental and clinical research studies, especially in the context of vascular treatment responses [3]. Impaired endothelium-dependent dilatation of the brachial artery provides important information about subclinical organ damage progression in cardiovascular diseases, correlating with pathophysiological markers such as albuminuria and increased pulse wave velocity, even after adjustment for known risk factors [4]. Low FMD is associated with coronary endothelial dysfunction [5], and an independent predictor of in-stent stenosis following single-vessel coronary interventions [6]. Furthermore, progressively higher FMD values have been associated with reduced risk of cardiovascular events in both low- and high-risk populations [7]. Current guidelines are encouraging the need for experience, based on the attainment of low inter-session coefficient of variation (CV) values [1]. However, there has not been a published study outlining the content, timeframe, and feasibility of procedural training of completely novice operators. The standardized training regimen presented by Vanoli et al. for the measurement of carotid intima-media thickness, that is another non-invasive, methodologically less complex technique, provides a great example for learning curve studies [8]. Since the heavy burden of cardiovascular disease on society necessitates that more professionals, especially those without prior experience, become familiar with available non-invasive research techniques for assessing vascular function, we aimed in this study to provide an outline for what a standardized FMD training regimen could entail.

2 Methods

2.1 Training

The training procedure was carried out by a single novice (A.S.D.) with no prior experience in ultrasound measurements. The program began with a 2-h lecture covering the principles of ultrasonographic imaging and FMD, focusing both on the biophysical and physiological background of the technique. Afterwards, the novice operator was introduced to the portable ultrasound system (MyLab25Gold, Esaote, Genoa, Italy). Then, after some hands-on training in duplex Doppler ultrasound, the FMD measurement was presented to the novice operator, the basic steps were explained in detail, and the basic functions of the recording and analysis system (Cardiovascular Suite, FMD Studio, Version 4, Quipu, Pisa, Italy) were also presented. Subsequently, eight basic scans were carried out by the novice. During and after each measurement in this preparation period, feedback was provided by an experienced operator (D.C.). These scans were meant to give the novice operator familiarity with the basic settings of the ultrasound system and analysis software. The ability to properly visualize a longitudinal section of the brachial artery with clear vascular boundaries was emphasized. At the end of this period, the operator was able to execute the basic steps of the procedure. Furthermore, the mean diameter standard deviation values in the first minute (baseline period) of these initial eight measurements were < 1.2% in all cases. These initial results show that the operator was able to find and maintain a stable and clear longitudinal image of the brachial artery for at least one minute, and are in line with one of the scan validation criteria (standard deviation of diameter had to be < 2% in the first minute of the measurement) used by Ghiadoni et al. during a large FMD reproducibility study [9]. After these initial steps, the operator began carrying out FMD measurements on the official subjects of the study. To assess the reproducibility of the measurements, 6–8 individuals were examined each week. Two measurements were performed on each individual on different days, at similar time of the days (± 1 h). During the first week, the experienced researcher watched the measurements and during and after each measurement, provided detailed feedback to the novice to help improvement. From the second week, the novice performed the measurements alone, and the recordings were checked and discussed with the experienced researcher afterwards.

2.2 Study Population

Volunteers were recruited from the Division of Experimental Medicine and Immunotherapeutics at the University of Cambridge. The study was performed within the confines of a larger study (Influence of Age, Weight and Ethnic background on blood pressure: AWE study) that received favorable opinion from the West Midlands – Coventry and Warwickshire Research Ethics Committee (REC reference number: 16/WM/0485). Prior to examination, the subjects were given information about the measurements, and verbal informed consent was received. According to the recent guideline, subjects were asked to fast and refrain from smoking or tobacco consumption for at least 6 h prior to measurement. They were also asked to refrain from vigorous exercise and alcoholic beverage or stimulant drink consumption for at least 24, and 12 h, respectively, prior to the measurement [1]. Anthropometric characteristics of the subjects (height, weight, and body mass index), medical history, medications, and smoking status were recorded. Drug withdrawal was not required.

2.3 Flow-Mediated Dilatation Measurement

Subjects were asked to rest in the supine position for 10 min in a temperature-controlled (22 ± 1 °C), dimly lit room. Following this, two automatic blood pressure readings (HEM-907 Digital Blood Pressure Monitor, OMRON Healthcare, Illinois, USA) were taken 1 min apart. A smaller-sized cuff (width: 9 cm) was then placed over the right forearm distal to the elbow crease, with the arm being at the level of the heart. A small vacuum mattress was used to support and stabilize the upper arm of the subjects, and a probe holder was used to stabilize and maintain the position of the 12 MHz linear array transducer (LA523, Esaote, Genoa, Italy). The measurements were performed using duplex ultrasound. Image depth was 3 cm, the insonation angle for blood flow velocity measurement was 70°, and the same calibration settings were used for each measurement throughout the whole study. During the measurements, the image of the MyLab25Gold ultrasound device was transferred to the Cardiovascular Suite, FMD Studio program using an Epiphan DVI2USB 3.0 video grabber (Epiphan Systems Inc., Palo Alto, California, USA). The software uses a robust edge-detection algorithm and shows the diameter and blood flow signals in real-time on its graphical interface [10]. The measurement began with a 1-min period to measure baseline brachial artery diameter (D), followed by a 5-min occlusion period in which the cuff around the forearm was inflated to 50 mmHg above systolic blood pressure. After this occlusion period, the cuff was fully deflated, and the change in arterial diameter (ΔD) due to reactive hyperemia was measured. FMD was calculated as a percentage according to the following formula: \(\text{FMD}=\frac{\Delta D}{D}\times 100\). Shear rate (SR) was calculated as follows: \(SR = \frac{4v}{d}\), where v represents velocity of blood flow, and d represents diameter. The FMD Studio program automatically analyses the diameter and blood flow signals, and provides a report at the end of the measurement. Major output variables of the measurements were the following: D, FMD, baseline SR and maximal SR.

To achieve precision with respect to placement of the probe and the cuff, distances from the elbow crease to both the probe and cuff were measured using a removable skin marker and a ruler, and documented. These distances were then used for the placement of the probe and the cuff in the follow-up measurements for each subject. Additionally, the angle of probe position was measured using a protractor and documented. This angle was likewise used to orient the ultrasound probe in the subsequent measurement on the same subject. Similarly, the position of the region of interest (ROI) was also documented after the first measurement, and positioning of the ROI followed these notes during the second measurement as closely as possible.

2.4 Data Analysis

To properly follow the improvement over the learning period, we opted not to discard any measurements. Statistical analysis was carried out using IBM SPSS v. 28 (IBM Corporation, Somers, NY, USA). Coefficient of variation (CV) was calculated to assess the inter-session reproducibility of the measurements. It was calculated as follows: \({\text{CV}} \left( \% \right) = 100 \times \frac{{{\text{SD}}}}{{{\text{Mean}}}}\), where SD represents within-subject standard deviation. SD was calculated as follows: \({\text{SD}} = \surd \frac{{\sum (x_{1} - x_{2} )^{2} }}{2n}\), where n is the number of data pairs and x1 and x2 are the duplicate measurements [11]. Data are presented as n (%) and, due to small sample sizes and non-normal distributions, medians [interquartile ranges (IQR)].

3 Results

Anthropometric, hemodynamic, and relevant demographic data are shown in Table 1. The majority of the volunteers did not have any history of cardiovascular disease.

Table 1 Subject characteristics

Major output parameters of FMD measurements are shown week by week in Table 2. There was an increasing trend in the measured FMD median values across the time period, reflecting the ability of the operator to capture the flow-mediated dilatation more accurately.

Table 2 Flow-mediated dilatation measurement parameters during the study

Figure 1 shows the CV values for D and FMD. Both showed a decreasing trend over the training period. At week 6, both CV values were within the required range recommended by the recent guideline: below 2% for D and below 15% for FMD [1]. The CV values at week 6 were 1.73% for D and 14.24% for FMD.

Fig. 1
figure 1

Changes in intersession coefficient of variation (CV) for baseline diameter and flow-mediated dilatation over time. The number of volunteers assessed each week were the following: 8, 7, 7, 6, 7, 7 individuals, from week 1 to week 6

4 Discussion

FMD is a valuable tool for the assessment of endothelial function, but multiple factors may hinder the attainment of reproducible results. One crucial factor is operator training, and as yet, no study has established the feasibility and duration of a proper training regimen for novices—as has been done with other techniques [8, 12, 13]. Our study demonstrates a training program and the learning curve of a novice operator that culminated in the attainment of sound reproducibility between FMD measurements.

Different factors can influence measured FMD values and their reproducibility, including individual differences in arterial diameter and stiffness, as well as the amount of shear stress generated, diet, exercise, stimulant drink consumption and smoking history [1, 2]. To minimize the influence of the aforementioned factors, we followed the recommendations outlined in the most recent guideline about FMD measurement [1]. Regarding the training of operators, certain studies up to this point have mentioned training programs involving experienced sonographers, with benchmarks to assess sonographer proficiency. The training for sonographers with previous experience with FMD studies by Ghiadoni et al. consisted of 20 supervised scans, and afterwards, quality certification was received when 5 consecutive scans were accepted by a core reading lab [9]. Thijssen et al. recommended that the training is sufficient when the inter-session CV for D is below 2% and the inter-session CV for FMD is below 15% [1]. Since no emphasis has been placed on the training of complete novices, our goal was to follow the learning curve of a complete novice under standardized circumstances, and describe a potential program for future training.

The training regimen outlined in this study was achieved within a reasonable 7-week time-frame, which comprised 6 weeks of measurements on various subjects—in addition to an earlier week of gaining basic procedural and theoretical understanding of the technique. The CV for both D and FMD showed a decreasing trend from the onset of the training period to the end, reinforcing that proper training can lead to sound reproducibility. The inter-session CV values of the last week for both D and FMD were below the threshold recommended in the recent FMD guideline [1].

The CV values for D were below the recommended threshold at week 5 and 6. Beyond the gained experience and improved hand–eye coordination, precise positioning of both the pressure cuff, the ultrasound probe and the ROI for diameter measurement could play an important role in the attainment of these CV values. It has been established that placement of the pressure cuff can have a significant impact on FMD, mostly due to the potential differences in the volume of ischemic area distal to the cuff and consequential differences in the shear stress stimulus after cuff deflation [14]. In this study, the distances of both the pressure cuff and ultrasound probe relative to the elbow crease were measured at the conclusion of the first visit, using a removable, skin-friendly marker and a ruler. The cuff was always placed distal to the elbow crease around the forearm of the subject. The key distance measurements were remade at the beginning of the second visit, allowing for a targeted placement of the probe and the cuff. The angle of transducer position was also recorded at the end of the first visit using a protractor, and this was followed in the subsequent visit as well. Targeted positioning of the cuff, the probe and the ROI were found to be helpful towards the achievement of reproducible results.

The CV for the FMD value also followed a decreasing trend over the study. The initial CV values for FMD were higher, and the FMD values were lower in the beginning of the study compared to the values obtained during the final week. This reflects the complexity of obtaining reliable FMD values, especially given how slight movements over the course of the measurement can markedly alter the results. The FMD values were initially low, suggesting that the sonographer was not able to capture the true FMD in subjects. Eventually, the CV values for FMD were within the recommended range at week 6, and the FMD values were higher compared to the beginning of the study, and reached the median (IQR) values of [5.05% (3.39–6.48%); Visit 1] and [5.16% (4.42–7.43%); Visit 2] by the final week—demonstrating that the operator could capture the diameter changes of the brachial artery more precisely. These FMD values measured at week 6 are physiologically reasonable based on the reference intervals published recently [2].

It should be noted that this study has limitations. First, it is based on the experience of a single novice operator, and may not capture the capabilities of others training in vascular measurement techniques. This is the major limitation of our study, however, articles about learning curve studies based on the experience of a single operator are not unprecedented [15,16,17,18,19,20,21,22,23]. Second, the subject sample sizes for each week of measurement were small, ranging from 6 to 8 subjects per week. Third, the majority of our participants were low-risk normotensive individuals. Since the variability in FMD is larger in individuals at higher cardiovascular risk [1, 24,25,26], the training period might be longer in the case of high-risk populations. Fourth, for female subjects, the measurements were not performed at a standardized part of the menstrual cycle. Although the menstrual cycle has been found to impact endothelial function [27], since the time interval between the repeated measurements ranged between 1 and 3 days (with the median value of 1 day), we believe that this limitation did not have a major effect on our results. Fifth, we did not record within-day reproducibility measures. We also have to acknowledge that other training approaches (e.g. longer training in duplex Doppler ultrasound, and FMD training afterwards) could also lead to proficiency in FMD measurements. Despite these limitations, this study reflects a robust training regimen for FMD measurement that led to optimal reproducibility values by its conclusion.

5 Conclusion

Given that theoretical learning, together with practical skill acquisition were able to take place within 7 weeks and yield sound reproducibility values in a low-cost setting, our study suggests that standardized systems for learning FMD measurement can be implemented successfully and conveyed to inexperienced operators.

Availability of Data and Materials

The datasets used and/or analysed during the current study are available from the corresponding author (D.C.) on reasonable request.

Abbreviations

CV:

Coefficient of variation

d :

Diameter

D :

Baseline brachial artery diameter

ΔD :

Change in arterial diameter

FMD:

Flow-mediated dilatation

IQR:

Interquartile range

n :

Number of data pairs

ROI:

Region of interest

SD:

Standard deviation

SR:

Shear rate

v :

Velocity of blood flow

x 1 :

Result of the first measurement

x 2 :

Result of the second measurement

References

  1. Thijssen DHJ, Bruno RM, van Mil A, Holder SM, Faita F, Greyling A, et al. Expert consensus and evidence-based recommendations for the assessment of flow-mediated dilation in humans. Eur Heart J. 2019;40(30):2534–47.

    Article  PubMed  Google Scholar 

  2. Holder SM, Bruno RM, Shkredova DA, Dawson EA, Jones H, Hopkins ND, et al. Reference intervals for brachial artery flow-mediated dilation and the relation with cardiovascular risk factors. Hypertension. 2021;77(5):1469–80.

    Article  CAS  PubMed  Google Scholar 

  3. Vlachopoulos C, Xaplanteris P, Aboyans V, Brodmann M, Cifkova R, Cosentino F, et al. The role of vascular biomarkers for primary and secondary prevention: a position paper from the European Society of Cardiology Working Group on peripheral circulation—Endorsed by the Association for Research into Arterial Structure and Physiology (ARTERY) Society. Atherosclerosis. 2015;241(2):507–32.

    Article  CAS  PubMed  Google Scholar 

  4. Yang Y, Xu JZ, Wang Y, Tang XF, Gao PJ. Brachial flow-mediated dilation predicts subclinical target organ damage progression in essential hypertensive patients: a 3-year follow-up study. J Hypertens. 2014;32(12):2393–400.

    Article  CAS  PubMed  Google Scholar 

  5. Broxterman RM, Witman MA, Trinity JD, Groot HJ, Rossman MJ, Park SY, et al. Strong relationship between vascular function in the coronary and brachial arteries. Hypertension. 2019;74(1):208–15.

    Article  CAS  PubMed  Google Scholar 

  6. Patti G, Pasceri V, Melfi R, Goffredo C, Chello M, D’Ambrosio A, et al. Impaired flow-mediated dilation and risk of restenosis in patients undergoing coronary stent implantation. Circulation. 2005;111(1):70–5.

    Article  PubMed  Google Scholar 

  7. Xu Y, Arora RC, Hiebert BM, Lerner B, Szwajcer A, McDonald K, et al. Non-invasive endothelial function testing and the risk of adverse outcomes: a systematic review and meta-analysis. Eur Heart J Cardiovasc Imaging. 2014;15(7):736–46.

    Article  PubMed  Google Scholar 

  8. Vanoli D, Wiklund U, Lindqvist P, Henein M, Naslund U. Successful novice’s training in obtaining accurate assessment of carotid IMT using an automated ultrasound system. Eur Heart J Cardiovasc Imaging. 2014;15(6):637–42.

    Article  PubMed  Google Scholar 

  9. Ghiadoni L, Faita F, Salvetti M, Cordiano C, Biggi A, Puato M, et al. Assessment of flow-mediated dilation reproducibility: a nationwide multicenter study. J Hypertens. 2012;30(7):1399–405.

    Article  CAS  PubMed  Google Scholar 

  10. Gemignani V, Faita F, Ghiadoni L, Poggianti E, Demi M. A system for real-time measurement of the brachial artery diameter in B-mode ultrasound images. IEEE Trans Med Imaging. 2007;26(3):393–404.

    Article  PubMed  Google Scholar 

  11. Synek V. Evaluation of the standard deviation from duplicate results. Accred Qual Assur. 2008;13:335–7.

    Article  CAS  Google Scholar 

  12. Young SW, Dahiya N, Patel MD, Abrao MS, Magrina JF, Temkit M, et al. Initial accuracy of and learning curve for transvaginal ultrasound with bowel preparation for deep endometriosis in a US tertiary care center. J Minim Invasive Gynecol. 2017;24(7):1170–6.

    Article  PubMed  Google Scholar 

  13. Luers JC, Damm M, Klussmann JP, Beutner D. The learning curve of sialendoscopy with modular sialendoscopes: a single surgeon’s experience. Arch Otolaryngol Head Neck Surg. 2010;136(8):762–5.

    Article  PubMed  Google Scholar 

  14. Berry KL, Skyrme-Jones RA, Meredith IT. Occlusion cuff position is an important determinant of the time course and magnitude of human brachial artery flow-mediated dilation. Clin Sci (Lond). 2000;99(4):261–7.

    Article  CAS  PubMed  Google Scholar 

  15. Verma D, Gostout CJ, Petersen BT, Levy MJ, Baron TH, Adler DG. Establishing a true assessment of endoscopic competence in ERCP during training and beyond: a single-operator learning curve for deep biliary cannulation in patients with native papillary anatomy. Gastrointest Endosc. 2007;65(3):394–400.

    Article  PubMed  Google Scholar 

  16. Patel KS, Calixte R, Modayil RJ, Friedel D, Brathwaite CE, Stavropoulos SN. The light at the end of the tunnel: a single-operator learning curve analysis for per oral endoscopic myotomy. Gastrointest Endosc. 2015;81(5):1181–7.

    Article  PubMed  Google Scholar 

  17. Spychalski M, Skulimowski A, Dziki A, Saito Y. Colorectal endoscopic submucosal dissection (ESD) in the West: when can satisfactory results be obtained? A single-operator learning curve analysis. Scand J Gastroenterol. 2017;52(12):1442–52.

    Article  PubMed  Google Scholar 

  18. Saumoy M, Schneider Y, Zhou XK, Shukla A, Kahaleh M, Aronne L, et al. A single-operator learning curve analysis for the endoscopic sleeve gastroplasty. Gastrointest Endosc. 2018;87(2):442–7.

    Article  PubMed  Google Scholar 

  19. Jovani M, Ichkhanian Y, Parsa N, Singh S, Brewer Gutierrez OI, Keane MG, et al. Assessment of the learning curve for EUS-guided gastroenterostomy for a single operator. Gastrointest Endosc. 2021;93(5):1088–93.

    Article  PubMed  Google Scholar 

  20. Ozeki Y, Hirasawa K, Sawada A, Ikeda R, Nishio M, Fukuchi T, et al. Learning curve analysis for duodenal endoscopic submucosal dissection: a single-operator experience. J Gastroenterol Hepatol. 2022;37(11):2131–7.

    Article  PubMed  Google Scholar 

  21. Powell T, Rahman S, Staib L, Bhatia S, Ayyagari R. Operator learning curve for prostatic artery embolization and its impact on outcomes in 296 patients. Cardiovasc Intervent Radiol. 2023;46(2):229–37.

    Article  PubMed  Google Scholar 

  22. Marion W, Schanz JD Jr, Patel S, Co ML, Pavri BB. Single operator experience, learning curve, outcomes, and insights gained with conduction system pacing. Pacing Clin Electrophysiol. 2024;71(20):2319.

    Google Scholar 

  23. Fularz M, Mitkowski P. The impact of operator experience on the success rate, time aspects, and electrocardiographic features in left bundle branch area pacing. Kardiol Pol. 2023;81(11):1140–2.

    Article  PubMed  Google Scholar 

  24. Donald AE, Halcox JP, Charakida M, Storry C, Wallace SM, Cole TJ, et al. Methodological approaches to optimize reproducibility and power in clinical studies of flow-mediated dilation. J Am Coll Cardiol. 2008;51(20):1959–64.

    Article  PubMed  Google Scholar 

  25. Charakida M, de Groot E, Loukogeorgakis SP, Khan T, Luscher T, Kastelein JJ, et al. Variability and reproducibility of flow-mediated dilatation in a multicentre clinical trial. Eur Heart J. 2013;34(45):3501–7.

    Article  PubMed  Google Scholar 

  26. van Mil AC, Greyling A, Zock PL, Geleijnse JM, Hopman MT, Mensink RP, et al. Impact of volunteer-related and methodology-related factors on the reproducibility of brachial artery flow-mediated vasodilation: analysis of 672 individual repeated measurements. J Hypertens. 2016;34(9):1738–45.

    Article  PubMed  Google Scholar 

  27. Hashimoto M, Akishita M, Eto M, Ishikawa M, Kozaki K, Toba K, et al. Modulation of endothelium-dependent flow-mediated dilatation of the brachial artery by sex and menstrual cycle. Circulation. 1995;92(12):3431–5.

    Article  CAS  PubMed  Google Scholar 

  28. Dhar AS, Fisk M, McEniery CM, Cseh D. Flow-mediated dilatation: learning curve study with a novice operator. medRxiv. 2023:2023.09.11.23295348.

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Funding

Open access funding provided by Semmelweis University. C.M.M. was supported by the NIHR Cambridge Biomedical Research Centre (BRC-1215-20014). The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. M.F. was supported by The Evelyn Trust Grant 20/58.

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Contributions

A.S.D. was involved in the performance of the measurements and data analysis, interpretation of data, drafting the article, and he approved the final version to be published. M.F. participated in the interpretation of the data, reviewed the draft critically, and approved the final version to be published. C.M.M. was involved in the conception and design of the study, interpretation of the data, critical revision of the draft, and accepted the final version to be published. D.C. participated in the conception and design of the study, he supervised the measurements and data analysis, he was involved in the interpretation of the data, drafting the article, and approved the final version to be published.

Corresponding author

Correspondence to Domonkos Cseh.

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The authors declare that they have no competing interests.

Ethics Approval and Consent to Participate

The study was performed within the confines of a larger study (Influence of Age, Weight and Ethnic background on blood pressure: AWE study) that received favorable opinion from the West Midlands – Coventry and Warwickshire Research Ethics Committee (The Old Chapel, Royal Standard Place, Nottingham NG1 6FS; Date of favorable ethical opinion: 04/01/2017; REC reference number: 16/WM/0485). Verbal informed consent was obtained from participants prior to the study.

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Dhar, A.S., Fisk, M., McEniery, C.M. et al. Flow-Mediated Dilatation: Learning Curve Study with a Novice Operator. Artery Res 30, 13 (2024). https://doi.org/10.1007/s44200-024-00057-5

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