[Estimation of cardiac output from dynamic contrast multispiral tomographic data]

Area of Science:

• Medical Imaging
• Cardiovascular Physiology
• Radiology

Context:

• Accurate measurement of central hemodynamic parameters is crucial for diagnosing and managing cardiovascular conditions.
• Dynamic contrast X-ray computed tomography (CT) offers a potential non-invasive method for assessing cardiac function.
• Existing methods for cardiac output estimation have limitations in certain clinical scenarios.

Purpose:

• To develop and validate a programmatic method for calculating cardiac output (CO) using dynamic contrast X-ray CT.
• To establish a regression-based approach for estimating blood iodine and gadolinium concentrations from X-ray density.
• To assess the accuracy and reliability of the CT-derived CO measurements against a reference standard.

Summary:

• A novel method calculates cardiac output (CO) via the tracer dilution technique using dynamic contrast X-ray CT.
• Blood iodine concentration is determined from X-ray density (XD) using the regression: [XD] = 0.49 + 22.07 x [I].
• The method demonstrated high correlation (r=0.95) with Doppler echo measurements, validating its accuracy.

Impact:

• Dynamic spiral CT can be reliably employed for estimating cardiac output using the tracer dilution method.
• This technique provides a valuable tool for non-invasive cardiovascular assessment in clinical practice.
• The programmatic approach enhances the efficiency and accessibility of hemodynamic parameter calculation from CT data.