Methods: Retrospective study of 120 patients (223 fusion levels) who underwent ACDF between 2016 and 2021. Spacer types included structural allografts, PEEK, titanium, and ceramic cages. Radiographic measurements of subsidence were obtained from immediate (≤8 weeks) and long-term (≥6 months) postoperative lateral cervical radiographs. Multivariable linear regression was used to assess the association between spacer type and subsidence, adjusting for patient demographics, surgical levels, smoking history, and osteopenia. Results: The mean age of patients was 53.6±10.9 years and 41.7% were male; 47.5% had a smoking history and 20.8% had osteopenia. There were 38 one-level (31.7%), 61 two-level (50.8%), and 21 three-level fusions (17.5%). Spacer distribution included 62 structural allografts (51.7%), 27 PEEK (22.5%), 20 titanium (16.7%), and 11 ceramic (9.2%) cages. On multivariable analysis, PEEK cages were associated with significantly less anterior subsidence (β=−0.972, p <0.001) and posterior subsidence (β=−0.666, p=0.001) compared to allografts, and greater preservation of segmental lordosis (β=1.393, p=0.024). No significant differences in subsidence were found between titanium, ceramic, and allograft spacers. Conclusions PEEK cages showed reduced subsidence and better preservation of cervical lordosis compared to structural allografts, while titanium and ceramic cages did not differ significantly from structural allografts. These results suggest that PEEK cages may help minimize subsidence-related complications and improve outcomes.

Coronary computed tomography angiography (CCTA) has emerged as a pivotal tool for diagnosing and risk-stratifying patients with suspected coronary artery disease (CAD). Recent advancements in image analysis and artificial intelligence (AI) techniques have enabled the comprehensive quantitative analysis of coronary atherosclerosis. Fully quantitative assessments of coronary stenosis and lumen attenuation have improved the accuracy of assessing stenosis severity and predicting hemodynamically significant lesions. In addition to stenosis evaluation, quantitative plaque analysis plays a crucial role in predicting and monitoring CAD progression. Studies have demonstrated that the quantitative assessment of plaque subtypes based on CT attenuation provides a nuanced understanding of plaque characteristics and their association with cardiovascular events.Quantitative analysis of serial CCTA scans offers a unique perspective on the impact of medical therapies on plaque modification. However, challenges such as time-intensive analyses and variability in software platforms still need to be addressed for broader clinical implementation. The paradigm of CCTA has shifted towards comprehensive quantitative plaque analysis facilitated by technological advancements. As these methods continue to evolve, their integration into routine clinical practice has the potential to enhance risk assessment and guide individualized patient management. This article reviews the evolving landscape of quantitative plaque analysis in CCTA and explores its applications and limitations.