Background: The whole-heart coronary artery calcium (CAC) score has poor predictive value for obstructive coronary artery disease (CAD). We hypothesized that vessel- and lesion-specific CAC scores are more accurate.
Objectives: To evaluate the usefulness of vessel- and lesion-specific CAC in predicting obstructive CAD and to assess the incremental value added by the vessel- and lesion-specific CAC to the conventional whole-heart CAC approach.
Methods: Ninety-one patients with CAC scores and invasive angiography (XRA) data were enrolled. Besides whole-heart CAC, Agatston score (AgSc) and volume score (VolSc) were measured individually for each lesion in the 4 major epicardial coronary arteries. Maximum and average lesion-specific scores in each vessel were also determined. For the primary analysis, obstructive CAD was defined as 50% diameter stenosis by XRA.
Results: Whole-heart AgSc and VolSc were not different between patients with and without obstructive CAD (P = .23 and P = .18), whereas vessel- and lesion-specific scores were (maximum lesion specific AgSc, P < .0001). Maximum lesion-specific AgSc had superior diagnostic performance compared with whole-heart AgSc (area under receiver operating characteristics, 0.71 vs 0.58). Overall sensitivity, specificity, and diagnostic accuracy were improved. When specificity was fixed at 80%, sensitivity of maximum lesion-specific AgSc was superior to whole-heart AgSc (56.6% vs 35.1%). Most importantly, with lesion-specific AgSc, fewer patients were classified as "indeterminate" compared with whole-heart AgSc (17.9% vs 50%).
Conclusions: Vessel- and lesion-specific CAC scores are superior to the whole-heart AgSc and VolSc in predicting obstructive CAD. This simple refinement in CAC scoring may significantly improve the clinical predictive role of CAC imaging.
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http://dx.doi.org/10.1016/j.jcct.2010.09.001 | DOI Listing |
Phys Eng Sci Med
December 2024
Department of Clinical Radiology and Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-ku, Fukuoka, 812-8582, Japan.
This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This single-center retrospective study analyzed 76 patients (99 vessels) with stable angina who underwent coronary CT angiography (CCTA) and had intermediate stenosis severity (40-69%) on invasive coronary angiography. LSI, defined as a resting full-cycle ratio < 0.
View Article and Find Full Text PDFEur Heart J Cardiovasc Imaging
December 2024
Department of Radiology, Beijing Anzhen Hospital, Beijing Institute of Heart, Lung, and Vascular Diseases, Capital Medical University, Beijing, China.
Int J Radiat Oncol Biol Phys
November 2024
Massachusetts General Hospital, Harvard Medical school, Boston, MA.
Purpose: To assess the impact of liver model complexity on the estimated radiation dose to circulating blood during radiotherapy.
Methods: Six hepatocellular carcinoma patients were selected covering a range of clinical treatment volume (CTV) sizes and locations. Photon and proton treatment plans were generated for each patient.
J Cardiovasc Comput Tomogr
October 2024
Klinik für Herz- und Kreislauferkrankungen, Deutsches Herzzentrum München, Klinik an der Technischen Universität München, Lazarettstrasse 36, 80636 Munich, Germany. Electronic address:
Purpose: To characterize preprocedural coronary atherosclerotic lesions derived from CCTA and assess their association with in-stent restenosis (ISR) after percutaneous coronary intervention (PCI).
Materials And Methods: This retrospective cohort-study included patients who underwent CCTA for suspected coronary artery disease, subsequent index angiography including PCI and surveillance angiography within 6-8 months after the index procedure. We performed a plaque analysis of culprit lesions on CCTA using a dedicated plaque analysis software including assessment of the surrounding pericoronary fat attenuation index (FAI) and compared findings between lesions with and without ISR at surveillance angiography after stenting.
Comput Methods Programs Biomed
December 2024
Department of Electronics Information and Bioengineering, Politecnico di Milano, Milan, Italy.
Background And Objective: Invasive fractional flow reserve (FFR) measurement is the gold standard method for coronary artery disease (CAD) diagnosis. FFR-CT exploits computational fluid dynamics (CFD) for non-invasive evaluation of FFR, simulating coronary flow in virtual geometries reconstructed from computed tomography (CT), but suffers from cost-intensive computing process and uncertainties in the definition of patient specific boundary conditions (BCs). In this work, we investigated the use of time-averaged steady BCs, compared to pulsatile to reduce the computational time and deployed a self-adjusting method for the tuning of BCs to patient-specific clinical data.
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