March 3, 2026Open Access

Plaque characteristics and parameters derived from coronary computed tomography angiography for predicting major adverse cardiovascular events in patients with and without diabetes

Puntos clave

Patients with diabetes show effective MACE risk assessment using a combination of CACS and LAP,
While PR is identified as a stronger predictor of MACEs specifically for patients without diabetes,
CT-derived parameters play a vital role in evaluating cardiovascular risk across different patient groups,
Results indicate that tailored approaches based on diabetes status may enhance predictive accuracy for MACEs.

Resumen

The value of plaque characteristics and CT-derived parameters in predicting MACEs varies between patients with and without diabetes. The combination of CACS and LAP is effective in assessing MACE risk in patients with diabetes, whereas PR is a stronger predictor of MACEs in patients without diabetes.

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Discussion

Authors

Xiyi Huang

Shaomin Yang

Zaopeng He

Journals

Quantitative Imaging in Medicine and Surgery

Actions

Institutions

Southern Medical University

The First People's Hospital of Shunde

References and Citations

Connected Papers

Building similarity graph...

Analyzing shared references across papers

Plaque characteristics and parameters derived from coronary computed tomography angiography for predicting major adverse cardiovascular events in patients with and without diabetes

Puntos clave

Resumen

Citation Network

Connected Papers

Discussion

Authors

Journals

Actions

Institutions

References and Citations

Citation Network

Connected Papers

Discussion

Cite this study