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Updated: Jun 23, 2026

Quantitative Analysis and Characterization of Atherosclerotic Lesions in the Murine Aortic Sinus
Published on: December 7, 2013
A preliminary study on quantitative assessment of apical lesion area
Huaxin Sui1, Zheng He1, Boyu Li1
1Department of Stomatology, Peking University First Hospital Beijing 100034, China.
Objective:
To establish a quantitative method for calculating the area of apical lesions, thereby enabling a more precise assessment of the extent of apical lesions.
Methods:
Three observers annotated periapical radiographs using a proprietary web-based annotation platform. Root outlines and lesion boundaries were delineated to obtain both the absolute lesion area (Sa) and the relative lesion area (Sr), calculated as the ratio of lesion area to root area. Observers also evaluated periapical status using the Periapical Index (PAI). All measurements were repeated after one month. Intra- and inter-observer reliability for PAI scores were assessed using Cohen's kappa and Fleiss' kappa, respectively, while reliability for Sa and Sr measurements was evaluated using the intraclass correlation coefficient (ICC). Agreement between repeated measurements was visualized using Bland-Altman plots.
Results:
Annotations were completed on 126 radiographs containing 490 tooth roots. PAI scores demonstrated moderate intra-observer (Cohen's kappa range: 0.45-0.58) and inter-observer (Fleiss' kappa: 0.41) reliability. In contrast, ICC values for both Sa and Sr indicated good to excellent reliability (range: 0.72-0.89). Intra-observer ICCs for Sr (range: 0.85-0.89) were consistently higher than those for Sa (range: 0.72-0.81). Bland-Altman analysis revealed that over 95% of the measurement differences fell within the limits of agreement for all observers.
Conclusions:
This study established a relatively quantitative method for assessing apical lesions. Sr demonstrated the highest consistency, followed by Sa, while PAI showed only moderate reliability. These findings support the potential of quantitative metrics as objective alternatives to traditional subjective scoring systems.
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