Evaluation of Clinical Efficacy and Prognosis in Patients with Hypertrophic Obstructive Cardiomyopathy Through Hemodynamic Modeling Reconstructed by CT

Hypertrophic cardiomyopathy (HCM) is a common autosomal dominant inherited heart disease, with previous data suggesting a prevalence of approximately 1 in 500 in the population. However, with the widespread use of genetic testing and high-sensitivity cardiac imaging in recent years, the estimated prevalence of HCM may be as high as 1 in 200. Approximately 75% of HCM patients will develop left ventricular outflow tract obstruction (LVOTO), leading to decreased exercise capacity, dyspnea, syncope, heart failure, and even sudden death, significantly impacting the patients' quality of life and survival.

The optimal treatment for hypertrophic obstructive cardiomyopathy (HOCM) is still a matter of controversy, despite surgical myectomy being considered the "gold standard" for HOCM treatment. Treatment options such as chemical (radiofrequency) ablation and medications (Mavacamten) are also challenging the status, and there is even debate over the surgical approach for myectomy. Currently, there is no consensus in the medical community about the pathophysiological mechanisms of LVOTO, and the exact mechanisms of its occurrence are not fully understood, which is also a major reason for the treatment controversy in HOCM patients.

The focus of clinical decision-making is on the treatment based on the LVOTO pressure gradient, and it is generally recommended internationally to consider invasive treatment when the LVOTO pressure gradient is ≥50mmHg. However, there are still a small number of patients who do not have symptoms with a pressure gradient greater than 50mmHg or have significant symptoms with a pressure gradient less than 50mmHg, indicating that relying solely on the pressure gradient to assess the severity of HOCM and its prognosis may not be comprehensive enough.

In recent years, with the development of medical engineering integration, the use of computational fluid dynamics (CFD) in the medical field, particularly in the field of cardiovascular diseases, has become increasingly widespread. CFD can construct cardiovascular geometric models based on specific clinical images of a patient and simulate ventricular wall motion and blood flow within the heart through computer calculations to obtain the required hemodynamic parameters. This enables the visualization and quantification of intraventricular blood flow. Compared to direct measurement techniques based on imaging, CFD has advantages such as non-invasiveness, comprehensiveness, and accuracy, leading to its increasing application in cardiovascular function research. In particular, in the field of cardiomyopathy, CFD can help deepen the understanding of the pathophysiological mechanisms of hypertrophic obstructive cardiomyopathy by reconstructing the anatomical configuration of the left ventricle and analyzing intraventricular blood flow and related hemodynamic parameters, which in turn can aid in clinical decision-making and the assessment of clinical prognosis. Therefore, we propose using three-dimensional (3D) computed tomography (CT) simulation technology to assess the hemodynamics of patients with hypertrophic obstructive cardiomyopathy, in order to guide clinical decision-making.