Skip to main content

Early detection of pulmonary vasculopathy in children with sickle cell disease by new echocardiography-based blood speckle technology

Abstract

Background

Right ventricle (RV) dysfunction because of pulmonary vasculopathy is the most common cause of death in sickle cell disease (SCD). This study aimed to explore the diagnostic accuracy of blood-speckle tracking and vortex detection in the early detection of pulmonary vasculopathy in patients with SCD.

Methods

This study was conducted as a cross-sectional study including thirty patients and thirty controls. Patients with SCD were examined using 3D echocardiography to determine the presence of RV dysfunction, as a surrogate of pulmonary vasculopathy: in addition to blood speckle tracking echocardiography to determine the vortex timing in the RV and its presence or absence in the pulmonary artery. Patients’ demographic and hematologic data were also retrieved from patients’ files.

Results

Pulmonary vortex formation was 100% sensitive in the detection of RV dysfunction. LDH (Lactate Dehydrogenase) was the only variable significantly different between cases with pulmonary vortex formation and those without (520 vs. 257, P < 0.001), LDH > 400 was 72% sensitive and 100% specific in the detection of pulmonary vortex formation.

Conclusions

Pulmonary vortex formation was a sensitive indicator of RV dysfunction, thus suggesting its accuracy in the early detection of early pulmonary vascular changes in SCD. LDH as a marker of intravascular hemolysis, is a sensitive marker that can be used for risk stratification of SCD patients.

Impact statement

This article explores the use of a novel echocardiographic technique, blood speckle tracking, for the early detection of pulmonary vasculopathy in patients with sickle cell disease (SCD).

Blood speckle tracking is a recently introduced echocardiographic technique; however, studies evaluating its role in systemic disorders remain scarce or entirely absent.

Current methods for detecting pulmonary vasculopathy are limited—cardiac catheterization is invasive, cardiac MRI is costly, and tricuspid regurgitant velocity assessment often leads to delayed diagnosis. Validating this technique could enhance the care and management of SCD patients.

Peer Review reports

Background

Sickle cell disease (SCD) is the most common inherited hemoglobinopathy worldwide. Improvements in health infrastructure, preventive care, and clinical treatments have reduced the morbidity and mortality of sickle-cell diseases in developed countries. However, as these patients live longer, the chronic effects of sustained hemolytic anemia and episodic vaso-occlusive events drive the development of end-organ complications especially pulmonary vasculopathy and myocardial involvement because of the microvascular dysfunction accompanying SCD [1].

A single institution assessment of patients with SCD revealed that nearly 40% of premature deaths in patients were related to cardiopulmonary complications, which included myocardial infarction and congestive heart failure [2].

The five main causes of death according to death certificates were cardiovascular in 32% of patients and respiratory in 28%. Pulmonary Hypertension (PHT) in SCD ranges from 10 to 33% when measured by Right heart catheterization (RHC) or echocardiography, respectively [3].

The pathology of PHT varies and can involve pulmonary vascular endothelial dysfunction, smooth muscle cell (SMC) proliferation, adventitial fibroblast accumulation, and immune system activation. Overall, PHT generates right ventricular (RV) pressure overload, causing molecular adaptations predisposing to RV failure [4].

On the basis of the increased risks of pulmonary hypertension and death related to high tricuspid regurgitant (TR) velocity and plasma Brain Natriuretic Peptides (NT-proBNP) concentrations, the American Thoracic Society recommend annual screening of these values for SCD patients [5].

This approach relies on detecting pulmonary hypertension via echocardiographic assessment of tricuspid regurgitant velocity. However, a study by Parent et al. found that echocardiographic evaluation alone has a low positive predictive value for pulmonary hypertension.6 This limitation highlights the need for more advanced echocardiographic techniques to assess pulmonary hypertension and right ventricular dysfunction accurately. Consequently, it calls into question the reliability of this approach and underscores the need for alternative screening methods for pulmonary vasculopathy [6].

Cardiac MRI (CMR) offers itself as the gold standard in detection of myocardial affection and intracardiac blood flow abnormalities in these patients, however the cost and lengthy examination can constitute a barrier against its use [7].

Several echocardiographic techniques have been made available that can slowly replace the need for the lengthy and costly CMR and can detect the disordered myocardial deformation and the pulmonary vasculopathy in SCD patients with a promising diagnostic accuracy. Two techniques can notably achieve this diagnostic accuracy, myocardial tissue speckle tracking (3D STE) and the very newly introduced “blood speckle tracking technique” [8].

The aim of this study was early detection of pulmonary vasculopathy in patients with SCD using blood speckle tracking, also to test the effect of different independent variables such as the extent of hemolysis, and frequency of vaso-occlusive crises in exacerbation of pulmonary vasculopathy and myocardial dysfunction in those patients.

Methods

Study subjects

This case-control study was conducted at the Hematology Outpatient Clinic of Cairo University Children’s Hospital (CUCH) between January and June 2022. It included two groups:

Group 1

This group comprised 30 patients with a confirmed diagnosis of sickle cell disease (SCD), verified by the presence of HbS as measured by high-performance liquid chromatography [9]. These patients were regularly monitored at the Hematology Clinic of Cairo University Children’s Hospital. Exclusion criteria included any known structural heart disease, except for patent foramen ovale (PFO) or atrial septal defect (ASD) that did not lead to right ventricular (RV) dilation.

Group 2

This group included 30 healthy controls matched for age, sex, and body surface area, who served solely as a benchmark for echocardiographic data. These individuals had no history of chronic illnesses and were recruited from the same outpatient clinic after thorough assessments to eliminate any significant acute or chronic medical conditions. Informed consent was obtained from the guardians of all participants before the collection of data and samples. The study protocol received approval from the Pediatrics Department at the Faculty of Medicine, Cairo University.

Study methods

Revision of the patient files for the following data

*Demographic characteristics such as age, sex, weight, and surface area.

*Clinical characteristics: age at first blood transfusion, volume of annual blood transfusion, frequency of vasocclusive crises.

*Laboratory characteristics: last hemoglobin level, reticulocytic count, serum Lactate dehydrogenase (LDH) concentration and serum ferritin, total and direct bilirubin before echocardiographic examination.

Advanced echocardiographic examination

*Conventional and Tissue Doppler:

Peak early diastolic tissue velocity (E′) was measured at the septal and lateral mitral annulus. Mitral inflow velocity was assessed using pulsed-wave Doppler from the apical four-chamber view, with the sample volume positioned at the mitral leaflet tips. The E/E′ ratio was derived by dividing the E wave velocity by the corresponding e′ velocities.”

*3D Echocardiography:

Echocardiographic recordings were obtained using General Electric (GE) E95 ultrasound machine (GE Vingmed Ultrasound, Horten, Norway-2015).

  • 3D Echocardiography: full-volume acquisition of the Left Ventricle (LV) was obtained by harmonic imaging from the apical approach. Three ECG-gated consecutive beats were acquired during end-expiratory breath-hold to LV full volume. The depth and volume size were adjusted to obtain a temporal resolution higher than 30 volumes/s. All data sets were analyzed off-line using the GE built-in software. The software automatically identifies the LV cavity endocardial border in 3D. The operator were perform all the necessary adjustments manually in order to correctly place the endocardial border. Papillary muscles were included within the LV Chamber. The software then automatically calculates the left ventricular end-diastolic volume (EDV), ejection fraction (EF), left ventricular global longitudinal, area and circumferential strains (GLS, GAS, GCS respectively).

  • 3DE RV datasets were digitally analyzed offline using the GE built-in software to generate RV functional indices automatically: 3D end-diastolic volume (EDV), 3D end-systolic volume (ESV), 3D stroke volume (SV), 3D EF, fractional area change and tricuspid annular plane systolic excursion. (TAPSE)

>> Blood speckle tracking (BST): All the studied patients underwent a complete 2D and color doppler echocardiography and a further Blood Speckle Imaging evaluation. For BST analysis, we used 6 S probe and a frame per second (FPS) ranging between 400 and 500 [10]. Data were acquired while in conventional color Doppler mode at a depth < 10 cm and using a 60 cm/s color scale velocity. The BST loops were acquired at very high frame rate and then recalled showing the blood flow trajectories. The images were analyzed by two blinded physicians to determine the timing of vortex formation in the right ventricle and the absence or presence of vortex formation in the pulmonary artery. The occurrence of vortex in the pulmonary artery as well as a late diastolic vortex in the right ventricle were considered pathologic [11].

Statistical analysis

As considered the primary outcome, sample size calculation was done using the comparison of the occurrence of abnormal pulmonary artery vortex, by CMR between children with pulmonary hypertension and matched healthy children. Calculation was done based on comparing two proportions from independent samples in a prospective study using Fischer exact test. The α-error level was fixed at 0.05, The power was set at 80%, and the case-control ratio was set. According to Mawad et al. findings [12], 80% of pulmonary hypertension patients have a pulmonary artery vortex, while all normal children have no pulmonary vortex. Accordingly, the minimum optimum sample size should be 23 children in each group to detect a real difference of 30% in pulmonary artery vortex. Sample size calculation was done using PS Power and Sample Size Calculation software, version 3.0.11 for MS Windows (William D. Dupont, and Walton D, Vanderbilt University, Nashville, Tennessee, USA) [13].

Accordingly, our sample will include 30 sickle cell anemia patients and 30 controls.

Data were analyzed using Medcalc statistical software, numerical data were tested for normality of distribution using Shapiro-Wilk test, normally distributed data were represented using mean and standard deviation (SD), while skewed data were expressed as median and interquartile range (IQR), and compared using independent samples T-Test. Categorical variables were expressed as number and percentages to the total and compared using either Chi square or Fisher testing when applicable. A receiver operating characteristic (ROC) analysis was performed to test the diagnostic accuracy of abnormal RV vortex and pulmonary vortex formation in predicting RV systolic dysfunction (as defined by RV EF < 40%) and to measure the cut-off LDH level in predicting pulmonary vortex formation.

Results

Table 1 presents demographic and hematologic data for studying subjects. The age range of the cases was between 5 and 18 years, which was comparable to the control group, whose age ranged from 5 to 17 years. Statistical analysis revealed no significant differences between the cases and controls in terms of age and sex distribution. The median age of start of blood transfusion was 1.5 years, and the median Hb was 8.6. The median serum ferritin was 370, while the median LDH was 400.

Table 1 Demographic data of cases vs. controls

Echocardiographic data between cases and controls, listed in Table 2, showed evidence of significant RV and LV dysfunction in cases compared to controls. LV GLS (%) was markedly reduced in cases 21 ± 4 vs. 24 ± 2 in controls. RV indices derived from 3D echocardiography showed that RV EF (%) is significantly lower in cases 38 ± 3 vs. 66 ± 1.9 in controls.

Table 2 Echocardiographic data of cases vs. controls

We investigated in Fig. 1 the diagnostic accuracy of pulmonary and systolic RV vortex formation as well as conventional RV systolic pressure derived from TR, in predicting RV dysfunction in pulmonary vasculopathy, and a cut-off of 40% was suggested for normal RV function. The ROC analysis showed that RV systolic vortex and pulmonary vortex formation were highly sensitive markers of RV dysfunction (Sensitivity 100% and 85% /AUC 0.94 and 0.86 respectively, P<0.001)

Fig. 1
figure 1

Receiver operating characteristic curve to show the diagnostic accuracy of RV systolic vortex and pulmonary vortex formation in detection of RV ventricular dysfunction (RV EF < 40%)

Pulmonary vortex formation was seen in only one control subject, while 60% of cases showed pulmonary vortex formation. RV systolic vortex formation was seen in 10% of controls vs. 50% of cases. (Table 2). Patients were then divided according to the presence or absence of a pulmonary vortex into two groups, laboratory, and hematologic data (Table 3) were compared between the subgroups of cases. Serum LDH was significantly higher in patients with pulmonary vortex formation.

Table 3 Hematologic data in subgroups of cases based on pulmonary vortex formation

LDH > 400 was 72% sensitive and 100% specific of pulmonary vortex formation (AUC: 0.887, P < 0.001) (Fig. 2).

Fig. 2
figure 2

Receiver operating characteristic curve to reflect the diagnostic accuracy of LDH in detection of pulmonary vortex formation

Figure 3A and B are two samples of RV and Pulmonary vortex formations from our study subjects.

Fig. 3
figure 3

A/B: RV vortex formation/ Main Pulmonary artery vortex formation

Discussion

This study explored the ability of echocardiography-mediated blood vortex assessment and timing to detect possible pulmonary vasculopathy. Pulmonary vortex formation was seen in 60% of cases also achieving high sensitivity (AUC: 0.9) in predicting RV dysfunction. RVSP deducted from TR jet was not significantly different between cases and controls and was less sensitive in detecting RV systolic dysfunction (AUC: 0.5, P = 0.3).

Intracardiac and intravascular blood flow abnormalities, could be an early sign of myocardial involvement and of vasculopathy, and implementing the new technique of blood speckle tracking can be a game-changer in early detection of pulmonary vasculopathy in SCD patients [14, 15].

The use of vortex detection in diagnosing pulmonary hypertension (PHT) represents a promising frontier in cardiopulmonary diagnostics. An elevated mean pulmonary arterial pressure (mPAP) often leads to vortical blood flow patterns in the main pulmonary artery. This phenomenon is not just a curious hemodynamic alteration; it suggests underlying pathological changes that could assist in the early detection and monitoring of PHT. In a study by Mawad and colleagues, 80% of patients showed abnormal pulmonary artery vortex compared to 0% of controls [12, 16].

Also, filling with maximal velocity and subsequent vortex formation in the ventricle are seen usually in early (E) phase of diastole. Late diastolic (A) extending to systolic vortices have been linked to diastolic dysfunction of RV that is commonly encountered in pulmonary vasculopathy. In this study we were able to reproduce a similar finding by demonstrating a predominance of RV late diastolic-systolic vortices compared to an early diastolic vortex in controls. These findings signify that maximal filling of the RV is shifted in SCD patients from early diastole to late diastole and systole (A and S phases), which can suggest the occurrence of ventricular dyssynchrony due to pressure load from pulmonary vasculopathy [11, 17, 18].

Previous studies in the same context showed Late diastolic (A) extending to systolic vortices linked to diastolic dysfunction of RV that is commonly encountered in pulmonary vasculopathy. In another report, using contrast magnetic resonance imaging, fifteen subjects, nine with PAH and six healthy volunteers, underwent 4D-flow. The study confirmed that abnormal blood flow dynamics, including the vortex formation in the PA, were characteristics of vaso-occlusive pulmonary hypertension. The latter mechanism is the main pathogenesis involved in induction of pulmonary hypertension in sickle cell disease [11, 14].

These findings were associated with RV dysfunction, which might be suggestive of early pulmonary vasculopathy. The term vasculopathy is a broader term, which encompasses different degrees of alterations in the pulmonary arterioles, up to the development of pulmonary hypertension. The reason behind using this terminology in our study instead of pulmonary hypertension, is that we were not able to measure accurately pulmonary artery pressure and pulmonary vascular resistance invasively by right heart catheterization [19].

The presence of vortical flow patterns can serve as an indirect marker for increased mPAP. As blood encounters resistance due to heightened vascular tone or structural alterations in the pulmonary vasculature, the resulting flow dynamics may change, allowing clinicians to identify vasculopathy even before significant symptoms emerge and prior to the development of significant changes in RVSP as measured by TR. To our knowledge this is he first study on intracardiac blood flow abnormalities on SCD patients by the echo-based technique.

Moreover, the ability to detect and analyze vortices could potentially enhance risk stratification and guide more personalized treatment approaches. There is still conflicting evidence regarding the role and significance of pulmonary vortices in pulmonary hypertension. While some studies suggest their importance, as mentioned earlier, others downplay their role. The lack of a universally accepted definition and difficulties in accurately visualizing and quantifying vortices in vivo contribute to this conflict [11, 20, 21].

The development of early pulmonary vasculopathy in SCD, is mediated via an interplay between oxidative stress, endothelial dysfunction coagulopathy, sickling creating a vicious circle that promote end-organ damage [22,23,24,25].

In this study, the best predictor of RV dysfunction and pulmonary vortex formation was serum LDH, while the hemoglobin concentration, reticulocytic count and frequency of vasocclusive crises were not correlated with echocardiographic evidence of pulmonary vasculopathy. LDH presents itself as a marker of arterial stiffness and microvascular dysfunction; a relatively recent study by Zhu et al. showed that LDH level > 172 U/L is associated with increased cardiovascular risk. Moreover, LDH is regarded as a marker of hemolysis-associated NO resistance phenotype of sickle cell disease, endothelial dysfunction, and end-organ vasculopathy.

Study limitations

The primary limitations of this study arise from the qualitative nature of the currently available software for vortex detection via echocardiography. While this software facilitates the visualization of vortices, it falls short in accurately quantifying blood velocity and the diameters of these vortices. Given the extensive range of measurements that cardiac MRI can provide in similar contexts, there is still significant progress to be made in enhancing the capabilities of echocardiographic vortex analysis.

Another limiting factor is the absence of invasive hemodynamics, to benchmark BST results to it.

Conclusions

Blood speckle tracking is a new technique that has proven sensitivity in detection of early pulmonary vascular changes. It has been made available using CMR and 4D flow analysis and achieved in previous recent works good sensitivity in diagnosis of pulmonary hypertension compared to invasive methods. This is to our knowledge the first study to employ an echocardiography-based software to estimate its accuracy by diagnosing alterations in pulmonary arteries in the context of SCD. Despite being exclusively qualitative, the new modality, showed significant difference between cases and controls regarding pulmonary and right ventricular vortex formation. Larger studies might be needed to generalize the findings of the study, also improving the modality by adding some functional parameters (vortex maximal diameter and accurate timing in relation to aortic valve closure) will render it truly applicable in clinical day to day setting.

Data availability

Data underlying this manuscript will be provided upon reasonable request.

Abbreviations

ASD:

Atrial septal defect

AUC:

Area under the curve

BNP:

Brain Natriuretic Peptide

BST:

Blood speckle Tracking

CMR:

Cardiac Magnetic resonance

ECG:

Electrocardiogram

EDV:

End-diastolic volume

EF:

Ejection Fraction

FPS:

Frame per second

GAS:

Global Area strain

GCS:

Global Circumferential Strain

GE:

General Electric

GLS:

Global longitudinal strain

LDH:

Lactate dehydrogenase

LV:

Left Ventricle

LV E/E':

Ratio of early mitral inflow velocity to average early diastolic velocities of the mitral annulus and basal septum

mPAP:

mean pulmonary artery pressure

MS:

Microsoft

PAH:

Pulmonary artery pressure

PHT:

Pulmonary Hypertension

ROC:

Receiver Operating characteristic

RV:

Right ventricle

SCD:

Sickle cell disease

STE:

Speckle Tracking echocardiography

SV:

Stroke volume

TAPSE:

Tricuspid annular plane systolic excursion

TR:

Tricuspid regurge

References

  1. Ballez T, Benghiat FS, Dewachter C, Roussoulières A, Vachiéry J-L. European Respiratory Society,. Abnormal right ventricular to pulmonary artery coupling in sickle cell disease. In Pulmonary hypertension PA3603 (2021). https://doiorg.publicaciones.saludcastillayleon.es/10.1183/13993003.congress-2021.PA3603

  2. Gordeuk VR, Castro OL, Machado RF. Pathophysiology and treatment of pulmonary hypertension in sickle cell disease. Blood. 2016;127:820–8.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Sheikh AB, et al. Sickle cell Disease-Induced pulmonary hypertension: A review of pathophysiology, management, and current literature. Pulse. 2021;9:57–63.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Hayes MM, et al. Pulmonary hypertension in sickle cell disease. Ann Am Thorac Soc. 2014;11:1488–9.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Klings ES. American Thoracic Society an Official American Thoracic Society Clinical Practice Guideline, et al. Risk stratification, and management of pulmonary hypertension of sickle cell disease. Diagnosis. 2014;189:727–40.

  6. Khin S, Minkin R. Pulmonary hypertension in sickle cell disease: looking beyond the usual suspect. Chest. 2019;156:A511.

    Article  Google Scholar 

  7. Lechartier B, Chaouat A, Aubert J-D, Schwitter J. Magnetic resonance imaging in pulmonary hypertension: an overview of current applications and future perspectives. Swiss Med Wkly. 2022;152:w30055.

    Article  PubMed  Google Scholar 

  8. Prieto O, et al. Speckle tracking imaging in patients with pulmonary hypertension. J Cardiovasc Imaging. 2021;29:236.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Arishi WA, Alhadrami HA, Zourob M. Techniques for the Detection of Sickle Cell Disease: A Review. Micromachines 2021;12.

  10. Cantinotti M, et al. Characterization of aortic flow patterns by High-Frame-Rate blood speckle tracking echocardiography in children. J Am Heart Assoc. 2023;12:1–8.

    Article  Google Scholar 

  11. Odagiri K, et al. Non-invasive evaluation of pulmonary arterial blood flow and wall shear stress in pulmonary arterial hypertension with 3D phase contrast magnetic resonance imaging. Springerplus. 2016;5:1071.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Mawad W, et al. Pulmonary hypertension in children is associated with abnormal flow patterns in the main pulmonary artery as demonstrated by blood speckle tracking. CJC Pediatr Congenit Hear Dis. 2022;1:213–8.

    Article  Google Scholar 

  13. Dupont WD, Plummer WD. Power and sample size calculations. A review and computer program. Control Clin Trials. 1990;11:116–28.

    Article  CAS  PubMed  Google Scholar 

  14. Fenster BE, et al. Vorticity is a marker of right ventricular diastolic dysfunction. Am J Physiol Circ Physiol. 2015;309:H1087–93.

    Article  CAS  Google Scholar 

  15. Kamada H, et al. Quantification of vortex flow in pulmonary arteries of patients with chronic thromboembolic pulmonary hypertension. Eur J Radiol. 2022;148:110142.

    Article  PubMed  Google Scholar 

  16. Olschewski H. Why we should care about the mysteries of pulmonary hypertension. Pulm Circ. 2016;6:249–50.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Tolba OARE, El-Shanshory MR, El-Gamasy MAE. El-Shehaby, W. A. Speckle tracking evaluation of right ventricular functions in children with sickle cell disease. Ann Pediatr Cardiol. 2017;10:230–3.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Deux J-F, et al. Correlation between pulmonary artery pressure and Vortex duration determined by 4D flow MRI in main pulmonary artery in patients with suspicion of chronic thromboembolic pulmonary hypertension (CTEPH). J Clin Med. 2022;11:5237.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Dotan Y, et al. Pulmonary vasculopathy in explanted lungs from patients with interstitial lung disease undergoing lung transplantation. BMJ Open Respir Res. 2020;7:1–7.

    Google Scholar 

  20. Reiter G, Reiter U, Kovacs G, Olschewski H, Fuchsjäger M. Blood flow vortices along the main pulmonary artery measured with MR imaging for diagnosis of pulmonary hypertension. Radiology. 2015;275:71–9.

    Article  PubMed  Google Scholar 

  21. Schäfer M et al. Helicity and vorticity of pulmonary arterial flow in patients with pulmonary hypertension: quantitative analysis of flow formations. J Am Heart Assoc 2017;6.

  22. Almeida AG, et al. Abnormal myocardial flow reserve in sickle cell disease: A myocardial contrast echocardiography study. Echocardiography. 2008;25:591–9.

    Article  PubMed  Google Scholar 

  23. Youssry I et al. Right ventricular functions in subphenotypes of sickle cell disease. J Saudi Hear Assoc 2020;32.

  24. Youssry I, Ayad N. Sickle cell disease: combination new therapies vs. CRISPR-Cas9 potential and challenges — review Article. Ann Hematol. 2023. https://doiorg.publicaciones.saludcastillayleon.es/10.1007/s00277-023-05510-0.

    Article  PubMed  Google Scholar 

  25. AbdelMassih AF, Salama KM, Ghobrial C, Haroun B, Rahman MA. Discrepancy in patterns of myocardial involvement in beta-thalassaemia vs. sickle cell anaemia. Acta Cardiol. 2020;75:442–9.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

As a first author, I would like to extend my heartfelt thanks to my family, particularly my beloved mother, whose unwavering support and belief in me have carried me through moments of doubt. Your love and encouragement have been invaluable. I am also deeply grateful to my patients, whose resilience and strength continuously inspire me to strive for excellence.

Funding

Open access funding provided by The Science, Technology & Innovation Funding Authority (STDF) in cooperation with The Egyptian Knowledge Bank (EKB).

This research received no funding.

Author information

Authors and Affiliations

Authors

Contributions

Conception of the idea and supervision: AA, IY. Data collection: AA, FN, NS. Drafting of the manuscript: AA, FN, NS, IY. All authors read and approved the final copy of the manuscript.

Corresponding author

Correspondence to Antoine Fakhry AbdelMassih.

Ethics declarations

Ethics approval and consent to participate

The authors assert that all procedures contributing to this work comply with the ethical standards of the relevant Egyptian guidelines on human experimentation and with the Helsinki Declaration of 1975, as revised in 2008, and has been approved by the institutional committee of the Pediatrics’ department, Faculty of Medicine, Cairo University. (Ethical committee approval #MS-139-2022)

Consent for publication

An informed consent has been taken from the legal guardians of patients, delivered digitally via a QR code linked to an online form.

Competing interests

The authors declare 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/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

AbdelMassih, A.F., Nabil, F., Salama, N. et al. Early detection of pulmonary vasculopathy in children with sickle cell disease by new echocardiography-based blood speckle technology. BMC Pediatr 25, 382 (2025). https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12887-025-05689-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doiorg.publicaciones.saludcastillayleon.es/10.1186/s12887-025-05689-3

Keywords