4.4 Article

Performance of virtual non-contrast images generated on clinical photon-counting detector CT for emphysema quantification: proof of concept

期刊

BRITISH JOURNAL OF RADIOLOGY
卷 95, 期 1135, 页码 -

出版社

BRITISH INST RADIOLOGY
DOI: 10.1259/bjr.20211367

关键词

-

资金

  1. research grant Young Talents in Clinical Research of the SAMS
  2. G. & J. Bangerter-Rhyner Foundation
  3. Universitat Zurich
  4. Iten Kohaut Foundation Switzerland

向作者/读者索取更多资源

This study evaluated the performance of virtual non-contrast images compared to true non-contrast images in the quantification of lung parenchyma and emphysema using photon-counting detector computed tomography. The results showed that virtual non-contrast images can be used for emphysema evaluation, and there were no significant differences compared to true non-contrast images.
Objective: To evaluate the performance of virtual non-contrast images (VNC) compared to true non-contrast (TNC) images in photon-counting detector computed tomography (PCD-CT) for the evaluation of lung parenchyma and emphysema quantification. Methods: 65 (mean age 73 years; 48 male) consecutive patients who underwent a three-phase (non-contrast, arterial and venous) chest/abdomen CT on a first-generation dual-source PCD-CT were retrospectively included. Scans were performed in the multienergy (QuantumPlus) mode at 120 kV with 70 ml intravenous contrast agent at an injection rate of 4 ml s(-1). VNC were reconstructed from the arterial (VNCart) and venous phase (VNCven). TNC and VNC images of the lung were assessed quantitatively by calculating the global noise index (GNI) and qualitatively by two independent, blinded readers (overall image quality and emphysema assessment). Emphysema quantification was performed using a commercially available software tool at a threshold of -950 HU for all data sets. TNC images served as reference standard for emphysema quantification. Low attenuation values (LAV) were compared in a Bland-Altman plot. Results: GNI was similar in VNCart (103.0 +/- 30.1) and VNCven (98.2 +/- 22.2) as compared to TNC (100.9 +/- 19.0, p = 0.546 and p = 0.272, respectively). Subjective image quality (emphysema assessment and overall image quality) was highest for TNC (p = 0.001), followed by VNCven and VNCart. Both, VNCart and VNCven showed no significant difference in emphysema quantification as compared to TNC (p = 0.409 vs. p = 0.093; respectively). Conclusion: Emphysema evaluation is feasible using virtual non-contrast images from PCD-CT. Advances in knowledge: Emphysema quantification is feasible and accurate using VNC images in PCD-CT. Based on these findings, additional TNC scans for emphysema quantification could be omitted in the future.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据