ISSN 1004-4140
CN 11-3017/P

能谱CT最佳虚拟单能量图像减影法在头颈CTA中的应用价值研究

Evaluation of Optimal Virtual Single-energy Image Subtraction Method for Energy-spectrum CT in Head and Neck CTA

  • 摘要: 目的:本研究采用能谱CT最佳虚拟单能量图像(VMI)与虚拟平扫(VUE)相减影的方法,对比其与匹配蒙片去骨(MMBE)法在头颈CT血管成像(CTA)的减影效果上的差异。方法:回顾性收集我院2024年1月至2025年2月80例行头颈CTA检查的患者,对所有患者影像数据以10 keV为间隔进行后重建,重建11组40~140 keV的VMI数据,并测量颈总动脉(CCA)、颈内动脉(ICA)、大脑中动脉(MCA)及大脑前动脉(ACA)的CT值及标准差,计算信噪比(SNR)、对比噪声比(CNR)。同时由2名高年资主治医师对11组VMI图像进行主观评分。对客观评价指标和主观评分结果进行统计学分析,找出最佳VMI图像。将最佳VMI减影VUE得到的减影图,与MMBE减影图像进行比较,包括动静脉系统血管显示、去骨情况、整体图像质量等级及有效辐射剂量。结果:各能级VMI之间CCA、ICA、MCA及ACA的SNR及CNR的差异均具有统计学意义,其中60 keV图像SNR及CNR均高于其它VMI图像;2名放射医师对各能级VMI图像质量主观评价的一致性均较好(Kappa>0.61),各能级VMI间主观评分差异均有统计学意义,尤以60 keV图像主观评分最高。60 keV图像与VNC减影后的减影图像ICA颅内段、椎动脉(VA)颅内段及颅内动脉减影效果均优于MMBE法,差异均有统计学意义;其减影后的去骨显示效果优于MMBE法,差异具有统计学意义;其整体图像质量I级占比为88.75%(71/80),高于MMBE法77.50%(62/80),差异具有统计学意义;其平均有效辐射剂量为(0.96±0.02)mSv,较MMBE法降低约44.24%,差异具有统计学意义。结论:60 keV为显示头颈CTA的最佳虚拟单能量,其减影图像在头颈动脉血管显示、去骨效果及整体图像质量等级方面均较好,可代替传统匹配蒙片去骨法,从而省略真实平扫,可显著降低辐射剂量,为头颈CTA的优化提供新方案。

     

    Abstract:
    Objective In this study, energy spectrum CT optimal virtual single energy image (VMI) with virtual flat scan (VUE) phase subtraction was compared with the matched mask bone elimination (MMBE) method in the subtraction of head and neck CT angiography (CTA).
    Methods This retrospective study comprised 80 patients who underwent head and neck CTA between January 2024 and February 2025 at our institution. Reconstruction of image data was performed at 10- keV intervals, with eleven groups of VMI data from 40~140 keV ultimately reconstructed. The CT values and standard deviations of the common carotid artery (CCA), internal carotid artery (ICA), middle cerebral artery (MCA), and anterior cerebral artery (ACA) were measured, and the signal-to-noise ratio (SNR) and the contrast-to-noise ratio (CNR) were calculated. Then, subjective scoring of the 11 groups of VMI images was performed by two senior attending physicians. The outcomes of the objective evaluation indexes and subjective scoring were statistically analyzed to identify the best VMI images. The subtraction images obtained from the optimal VMI subtraction VUE were compared with the MMBE subtraction images, including arterial and venous system vascularization, debulking, overall image quality grade, and effective radiation dose.
    Results The differences in the SNR and CNR of CCA, ICA, MCA, and ACA between the VMIs of each energy level were statistically significant, with the SNR and CNR of 60 keV images found to be higher than those of other VMI images. The radiologists showed good agreement on their subjective evaluations of VMI image quality at each energy level (Kappa>0.61). The differences in subjective scores between the VMI at each energy level were statistically significant, with the 60 keV images showing the highest subjective scores. The subtracted images of ICA intracranial segment, vertebral artery (VA) intracranial segment, and intracranial artery after subtraction of the 60 keV images and VNC were significantly better than those of the MMBE method. The debulking effect of its subtraction was also significantly better than that of the MMBE method. The percentage of the overall image quality of Grade I was 88.75% (71/80), significantly higher than that of the MMBE method (77.50%; 62/80). Its average effective radiation dose was (0.96±0.02)mSv, approximately 44.24% lower than that of the MMBE method-a difference that was statistically significant.
    Conclusion We identified 60 keV as the best virtual single energy for displaying head and neck CTA. Its subtracted image was better in terms of head and neck arterial vascular display, debridement effect, and overall image quality grade. This highlights its potential as an alternative to the traditional matched-mask debridement method. By omitting the true flat scan, the radiation dose can be significantly reduced, providing a novel mechanism for the optimization of head and neck CTA.

     

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