Imaging Center, First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, Xinjiang, China.
Canon Medical Systems (China), Beijing, 100015, China.
BMC Med Imaging. 2024 Oct 18;24(1):279. doi: 10.1186/s12880-024-01447-6.
To evaluate the effect of the contrast-enhancement-boost (CE-boost) postprocessing technique on improving the image quality of obese patients in computed tomography pulmonary angiography (CTPA) compared to hybrid iterative reconstruction (HIR) and model-based iterative reconstruction (MBIR) algorithms.
This prospective study was conducted on 100 patients who underwent CTPA for suspected pulmonary embolism. Non-obese patients with a body mass index (BMI) under 25 were designated as group 1, while obese patients (group 2) had a BMI exceeding 25. The CE-boost images were generated by subtracting non-contrast HIR images from contrast-enhanced HIR images to improve the visibility of pulmonary arteries further. The CT value, image noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were quantitatively assessed. Two chest radiologists independently reviewed the CT images (5, best; 1, worst) across three subjective characteristics including diagnostic confidence, subjective image noise, and vascular contrast. The Friedman test and Dunn-Bonferroni correction were used for statistical analysis.
The CE-boost had significantly higher CT values than HIR and MBIR in both groups (all p < 0.001). The MBIR yielded the lowest image noise compared with HIR and CE-boost (all p < 0.001). The SNR and CNR of main pulmonary artery (MPA) were significantly higher in CE-boost than in MBIR (all p < 0.05), with HIR showing the lowest values (all p < 0.001). Group 2 MBIR received significantly better subjective image noise scores, while the diagnostic confidence and vascular contrast scored highest with the group 2 CE-boost (all p < 0.05).
Compared to the HIR algorithm, both the CE-boost technique and the MBIR algorithm can improve the image quality of CTPA in obese patients. CE-boost had the greatest potential in increasing the visualization of pulmonary artery and its branches.
评估对比增强增强(CE-增强)后处理技术在提高疑似肺动脉栓塞 CT 肺动脉造影(CTPA)中肥胖患者图像质量方面的效果,与混合迭代重建(HIR)和基于模型的迭代重建(MBIR)算法相比。
本前瞻性研究纳入了 100 例疑似肺栓塞患者行 CTPA。非肥胖患者的体重指数(BMI)低于 25 被指定为第 1 组,而肥胖患者(第 2 组)BMI 超过 25。CE-增强图像是通过从增强 HIR 图像中减去非对比 HIR 图像生成的,以进一步提高肺动脉的可见度。对 CT 值、图像噪声、信噪比(SNR)和对比噪声比(CNR)进行定量评估。两位胸部放射科医生独立评估了 CT 图像(5 分表示最佳,1 分表示最差)的三个主观特征,包括诊断信心、主观图像噪声和血管对比度。采用 Friedman 检验和 Dunn-Bonferroni 校正进行统计学分析。
CE-增强在两组中均显著提高了 CT 值,高于 HIR 和 MBIR(均 P<0.001)。MBIR 产生的图像噪声明显低于 HIR 和 CE-增强(均 P<0.001)。CE-增强的主肺动脉(MPA)的 SNR 和 CNR 明显高于 MBIR(均 P<0.05),而 HIR 的值最低(均 P<0.001)。第 2 组 MBIR 获得的主观图像噪声评分明显更好,而第 2 组 CE-增强的诊断信心和血管对比度评分最高(均 P<0.05)。
与 HIR 算法相比,CE-增强技术和 MBIR 算法都可以提高肥胖患者 CTPA 的图像质量。CE-增强在增加肺动脉及其分支的可视化方面具有最大的潜力。