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根尖周病变与奥斯特维克根尖指数的体积相关性:一项回顾性锥形束计算机断层扫描研究。

Volumetric correlation of periapical lesion with Orstavik's periapical index: A retrospective cone-beam computed tomographic study.

作者信息

Rajasekhar Reshma, Attur Kailash, Bagda Kamal Kumar, Soman Sooraj, Anroop Anjana

机构信息

Department of Conservative Dentistry and Endodontics, Narsinhbhai Patel Dental College and Hospital, Sankalchand Patel University, Visnagar, Gujarat, India.

Department of Conservative Dentistry and Endodontics, Goenka Research Institute of Dental Sciences, Gandhinagar, Gujarat, India.

出版信息

J Conserv Dent Endod. 2024 Oct;27(10):1054-1058. doi: 10.4103/JCDE.JCDE_475_24. Epub 2024 Oct 5.

Abstract

AIM

To assess the correlation among cone-beam computed tomographic periapical volume index (CBCTPAVI) and periapical lesion volume with Orstavik's periapical index (PAI).

METHODOLOGY

Seventy-six cone-beam computed tomographic (CBCT) and periapical radiographic images of single-rooted teeth presenting with apical periodontitis from 42 patients were obtained from a period of March 2023 to April 2024. Two observers evaluated the periapical radiographs and assigned PAI scores. CBCTPAVI was allocated based on the volume of the lesion, which was computed using ITK-SNAP software. Spearman's correlation coefficient was employed to evaluate the association between CBCTPAVI and lesion volume with PAI.

RESULTS

A significant and moderate positive relationship between PAI and lesion volume (ρ = 0.553, < 0.001) as well as between PAI and CBCTPAVI (ρ = 0.506; < 0.001) was observed.

CONCLUSION

The risk of under/overestimation of results on two-dimensional periapical radiographs exists, despite a favorable connection with volumetric assessment of CBCT images.

摘要

目的

评估锥束计算机断层扫描根尖周体积指数(CBCTPAVI)与根尖周病变体积和奥斯特维克根尖指数(PAI)之间的相关性。

方法

收集了2023年3月至2024年4月期间42例患有根尖周炎的单根牙的76张锥束计算机断层扫描(CBCT)和根尖周X线片图像。两名观察者对根尖周X线片进行评估并给出PAI评分。CBCTPAVI根据病变体积进行分配,病变体积使用ITK-SNAP软件计算。采用Spearman相关系数评估CBCTPAVI和病变体积与PAI之间的关联。

结果

观察到PAI与病变体积之间存在显著的中度正相关(ρ = 0.553,< 0.001),PAI与CBCTPAVI之间也存在显著的中度正相关(ρ = 0.506;< 0.001)。

结论

尽管二维根尖周X线片与CBCT图像的体积评估有良好的联系,但仍存在对结果低估/高估的风险。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28cc/11581375/6e72f039f23a/JCDE-27-1054-g003.jpg

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