Dynamic femoral head coverage following periacetabular osteotomy for developmental dysplasia of the hip.

Background: Developmental dysplasia of the hip reduces hip stability due to insufficient femoral head coverage. Periacetabular osteotomy surgery aims to increase this coverage. Typically measured using radiographs, most coverage assessments are limited to static hip positions and cannot capture 3D anatomy.

Segmental post-percutaneous coronary intervention physiological gradients using ultrasonic or optical flow ratio: insights from ASET JAPAN study.

Aims: Segmental pressure gradients post-percutaneous coronary intervention (PCI) can detect residual disease and optimization targets. Ultrasonic flow ratio (UFR) or optical flow ratio (OFR) offer simultaneous physiological and morphological assessment using a single imaging catheter. This study evaluated the utility of UFR and OFR in identifying residual disease post-PCI.

What have we learnt from histology about the efficacy of coronary imaging modalities in assessing plaque composition?

Accurate evaluation of coronary artery pathology is essential for risk stratification and tailoring appropriate treatment. Intravascular imaging was introduced for this purpose 40 years ago enabling for the first time plaque characterization. Since then, several studies have evaluated the efficacy of the existing intravascular imaging modalities in assessing plaque pathology and composition and their potential in guiding intervention and predicting vulnerable plaques.

Can fast wall shear stress computation predict adverse cardiac events in patients with intermediate non-flow limiting stenoses?

Background And Aims: Coronary angiography-derived wall shear stress (WSS) may enable identification of vulnerable plaques and patients. A new recently introduced software allows seamless three-dimensional quantitative coronary angiography (3D-QCA) reconstruction and WSS computation within a single user-friendly platform carrying promise for clinical applications. This study examines for the first time the efficacy of this software in detecting vulnerable lesions in patients with intermediate non-flow limiting stenoses.

Coronary angiography: a review of the state of the art and the evolution of angiography in cardio therapeutics.

Traditionally, coronary angiography was restricted to visual estimation of contrast-filled lumen in coronary obstructive diseases. Over the previous decades, considerable development has been made in quantitatively analyzing coronary angiography, significantly improving its accuracy and reproducibility.  Notably, the integration of artificial intelligence (AI) and machine learning into quantitative coronary angiography (QCA) holds promise for further enhancing diagnostic accuracy and predictive capabilities.