Novel imaging techniques in pulmonary hypertension.

Area of Science:

• Cardiology
• Radiology
• Medical Imaging

Background:

• Pulmonary hypertension (PH) is a serious condition often linked to other diseases.
• Cardiac catheterization is the standard for PH diagnosis.
• Noninvasive imaging is gaining importance for PH assessment.

Purpose of the Study:

• To review noninvasive imaging techniques for diagnosing and assessing pulmonary hypertension.
• To explore the role of echocardiography, CT, and MRI in PH evaluation.
• To investigate the potential of modeling and machine learning in PH diagnosis.

Main Methods:

• Review of current evidence on noninvasive imaging modalities.
• Examination of echocardiography, computed tomography (CT), and magnetic resonance imaging (MRI).
• Exploration of machine learning and modeling approaches for PH diagnosis.

Main Results:

• Noninvasive imaging provides a comprehensive assessment for suspected PH.
• Echocardiography, CT, and MRI are valuable in diagnostic and prognostic evaluations.
• Machine learning demonstrates potential for enhancing PH diagnosis.

Conclusions:

• Noninvasive imaging is crucial for the initial assessment of pulmonary hypertension.
• These methods aid in diagnosis, prognosis, and treatment monitoring.
• Machine learning offers future promise for more accurate PH detection.