A transition point for the blood flow wall shear stress environment in the human fetal left ventricle during early gestation

Computational approaches for mechanobiology in cardiovascular development and diseases

The cardiovascular development in vertebrates evolves in response to genetic and mechanical cues. The dynamic interplay among mechanics, cell biology, and anatomy continually shapes the hydraulic networks, characterized by complex, non-linear changes in anatomical structure and blood flow dynamics. To better understand this interplay, a diverse set of molecular and computational tools has been used to comprehensively study cardiovascular mechanobiology. With the continual advancement of computational capacity and numerical techniques, cardiovascular simulation is increasingly vital in both basic science research for understanding developmental mechanisms and disease etiologies, as well as in clinical studies aimed at enhancing treatment outcomes. This review provides an overview of computational cardiovascular modeling. Beginning with the fundamental concepts of computational cardiovascular modeling, it navigates through the applications of computational modeling in investigating mechanobiology during cardiac development. Second, the article illustrates the utility of computational hemodynamic modeling in the context of treatment planning for congenital heart diseases. It then delves into the predictive potential of computational models for elucidating tissue growth and remodeling processes. In closing, we outline prevailing challenges and future prospects, underscoring the transformative impact of computational cardiovascular modeling in reshaping cardiovascular science and clinical practice.

Prenatal features and postnatal follow-up of congenital ventricular outpouching: A retrospective study of two centers in China

OBJECTIVES

Congenital ventricular outpouching (CVO) is a rare cardiac malformation that can manifest as congenital ventricular aneurysm (CVA) and/or congenital ventricular diverticula (CVD). In this study, we describe the prenatal features and postnatal follow-up of 27 cases of CVO.

METHODS

The clinical data of 27 patients with CVO who attended Sir Run Run Shaw Hospital Affiliated to the Medical College of Zhejiang University (Zhejiang Province, China) and Taizhou Hospital of Zhejiang Province Affiliated to Wenzhou Medical University (Zhejiang Province, China) from April 2013 to October 2022 were retrospectively analyzed. The patients were also followed up by telephone. The prenatal characteristics and postnatal outcomes of the patients with CVO were evaluated.

RESULTS

CVO was detected in 26 cases prenatally, 14 (51.85%) were diagnosed with CVA, nine (33.33%) were diagnosed with CVD, three (11.11%) were equivocal for CVA/CVD, and one (3.70%) was detected with CVA postnatally. Six patients underwent follow-up fetal echocardiography approximately 4 weeks after the initial echocardiography examination, and a significant difference in CVO size was observed between the two examinations (P = .02). Eight patients (29.63%) demonstrated cardiovascular dysfunction, and the median CVO size in fetuses with and without cardiovascular dysfunction was 205 (range: 169-396) mm2 and 124 (range: 92-154.5) mm2 , respectively (P = .01). Correlation was found between CVO size and fetal cardiac dysfunction (p = .000, r = .778). Eight patients (29.63%) had cardiac/extracardiac defects. Thirteen patients were live born, 12 were terminated pregnancies, and two were lost to follow-up. The postpartum size of the CVOs remained stable in six patients, decreased in two patients, dissolved in three patients, and were surgically removed in two patients. With the exception of one patient with CVA complicated with complex congenital cardiac malformation who underwent surgical treatment after birth and who had postoperative left ventricular dysfunction (Case 1), the prognosis of all of the patients was good.

CONCLUSION

CVO is often associated with cardiac malformations. The size of prenatal CVOs can increase with gestational development, and cardiovascular dysfunction is significantly related to CVO size. The postpartum prognosis of patients with CVO is good. Echocardiography plays a key role in the diagnosis of congenital ventricular outpouching. Prenatal counseling should be cautious regarding the diagnosis and the prognosis although our cases had a favorable prognosis.

A cohort study to investigate the potential indicators for prenatal echocardiographic detection of suspected coarctation of the aorta

Objectives

Suspected coarctation of the aorta (CoA) is a common fetal echocardiographic presentation. However, the prenatal findings did not indicate a satisfied accuracy in determining the truly CoA after birth, which made the prenatal diagnosis of CoA still as a critical challenge with high false positive rate. Thus, this research is aimed to distinguish the potential prenatal parameters influencing the fetal echocardiographic images and enhance the true positive diagnostic rate of CoA fetuses which require early clinical intervention in postnatal life.

Methods

A retrospective study had been designed and fetuses with suspected with CoA had been included from Jan 2016 to Dec 2021 in our center. The fetal echocardiography and related clinical information had been collected. And the postnatal diagnosis had been reached by echocardiography or CTA. Then, all the parameters had been analyzed by univariate analysis, and a multivariate logistic regression analysis was further involved to determine the independent parameters influencing the accuracy of diagnosis CoA fetuses. Moreover, such results had been validated by nomogram analysis and ROC curve.

Results

Among the included 44 liveborn infants who presented suspected CoA in fetal cardiac screening, 18 cases had been proved to be CoA postnatally (Group P). The true positive rate for this study was 40.9% (18/44). The abnormal atrial hemodynamic status (AAHs) and the gestational week of delivery (GWoD) were associated with the postnatal CoA confirmation among prenatal suspected fetuses. The ROC curve of predicting probability of the mode combined with two independent factors of absence of AAH and GWoD (AUC = 0.880, 95% CI 0.763-0.997) presented a satisfied efficacy in distinguishing postnatal positive CoA diagnosis. The nomogram plot had been be utilized in CoA prediction (model likelihood ratio test, p < 0.0001).

Conclusions

AAH and GWoD had been identified as independent factors of predictive accuracy in detecting postnatal CoA among prenatal suspected fetuses. The prediction mode based on nomogram scores could be used to predict the risk of occurring CoA fetuses.

Recent advances in quantifying the mechanobiology of cardiac development via computational modeling

Mechanical forces are essential for coordinating cardiac morphogenesis, but much remains to be discovered about the interactions between mechanical forces and the mechanotransduction pathways they activate. Due to the elaborate and fundamentally multi-physics and multi-scale nature of cardiac mechanobiology, a complete understanding requires multiple experimental and analytical techniques. We identify three fundamental tools used in the field to probe these interactions: high resolution imaging, genetic and molecular analysis, and computational modeling. In this review, we focus on computational modeling and present recent studies employing this tool to investigate the mechanobiological pathways involved with cardiac development. These works demonstrate that understanding the detailed spatial and temporal patterns of biomechanical forces is crucial to building a comprehensive understanding of mechanobiology during cardiac development, and that computational modeling is an effective and efficient tool for obtaining such detail. In this context, multidisciplinary studies combining all three tools present the most compelling results.