非对比 CT 扫描中半自动肺叶组织分配技术的再现性:对猪动物模型的研究。

IF 3.7 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING European Radiology Experimental Pub Date : 2024-05-06 DOI:10.1186/s41747-024-00453-1
Nile Luu, Nathan Van, Alireza Shojazadeh, Yixiao Zhao, Sabee Molloi
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引用次数: 0

摘要

背景:评估用于非对比度计算机断层扫描(CT)肺叶分割的特定血管最小成本路径(MCP)技术的可重复性:目的:评估用于非对比计算机断层扫描(CT)肺叶分割的血管特异性最小成本路径(MCP)技术的可重复性:16 头约克夏猪(49.9 ± 4.7 千克,平均 ± 标准差)在 2020 年 11 月至 2022 年 5 月期间使用 320 片扫描仪接受了总共 46 次非对比螺旋 CT 扫描。三位阅片师采用半自动算法分割肺组织和肺动脉树。提取动脉树的中心线,并将其划分为六个子树用于肺叶分配。采用 MCP 技术将肺组织体素分配到最近的动脉树段,从而分配肺叶区域。然后使用线性回归、均方根误差(RMSE)和配对样本 t 检验对两次采集的 MCP 导出肺叶质量和体积进行比较。还对肺叶测量结果进行了观察者间和观察者内分析:平均全肺质量和容积分别为 663.7 ± 103.7 g 和 1,444.22 ± 309.1 mL。初始(MLobe1)和后续(MLobe2)采集的肺叶质量测量值的相关性为 MLobe1 = 0.99 MLobe2 + 1.76(r = 0.99,p = 0.120,RMSE = 7.99 g)。初始(VLobe1)和后续(VLobe2)采集的肺叶容积测量值的相关性为 VLobe1 = 0.98VLobe2 + 2.66(r = 0.99,p = 0.160,RSME = 15.26 mL):结论:通过血管特异性分配技术,肺叶质量和容积测量显示出极佳的重现性。该技术可用于自动肺叶分割,促进临床区域肺分析:使用非对比 CT 评估肺叶质量或容积,可为肺栓塞和慢性血栓栓塞性肺动脉高压等疾病提供有效的特定区域治疗策略:- 要点:肺叶分割对于精确评估疾病和制定治疗计划至关重要。- 目前使用裂隙线进行分割的方法存在问题。- 本文提出的最小成本路径技术和猪模型显示了肺叶质量测量的极佳再现性。- 观察者之间的一致性非常好,类内相关系数大于 0.90。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Reproducibility of a semiautomatic lobar lung tissue assignment technique on noncontrast CT scans: a study on swine animal model.

Background: To evaluate the reproducibility of a vessel-specific minimum cost path (MCP) technique used for lobar segmentation on noncontrast computed tomography (CT).

Methods: Sixteen Yorkshire swine (49.9 ± 4.7 kg, mean ± standard deviation) underwent a total of 46 noncontrast helical CT scans from November 2020 to May 2022 using a 320-slice scanner. A semiautomatic algorithm was employed by three readers to segment the lung tissue and pulmonary arterial tree. The centerline of the arterial tree was extracted and partitioned into six subtrees for lobar assignment. The MCP technique was implemented to assign lobar territories by assigning lung tissue voxels to the nearest arterial tree segment. MCP-derived lobar mass and volume were then compared between two acquisitions, using linear regression, root mean square error (RMSE), and paired sample t-tests. An interobserver and intraobserver analysis of the lobar measurements was also performed.

Results: The average whole lung mass and volume was 663.7 ± 103.7 g and 1,444.22 ± 309.1 mL, respectively. The lobar mass measurements from the initial (MLobe1) and subsequent (MLobe2) acquisitions were correlated by MLobe1 = 0.99 MLobe2 + 1.76 (r = 0.99, p = 0.120, RMSE = 7.99 g). The lobar volume measurements from the initial (VLobe1) and subsequent (VLobe2) acquisitions were correlated by VLobe1 = 0.98VLobe2 + 2.66 (r = 0.99, p = 0.160, RSME = 15.26 mL).

Conclusions: The lobar mass and volume measurements showed excellent reproducibility through a vessel-specific assignment technique. This technique may serve for automated lung lobar segmentation, facilitating clinical regional pulmonary analysis.

Relevance statement: Assessment of lobar mass or volume in the lung lobes using noncontrast CT may allow for efficient region-specific treatment strategies for diseases such as pulmonary embolism and chronic thromboembolic pulmonary hypertension.

Key points: • Lobar segmentation is essential for precise disease assessment and treatment planning. • Current methods for segmentation using fissure lines are problematic. • The minimum-cost-path technique here is proposed and a swine model showed excellent reproducibility for lobar mass measurements. • Interobserver agreement was excellent, with intraclass correlation coefficients greater than 0.90.

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来源期刊
European Radiology Experimental
European Radiology Experimental Medicine-Radiology, Nuclear Medicine and Imaging
CiteScore
6.70
自引率
2.60%
发文量
56
审稿时长
18 weeks
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