Department of Diagnostic and Interventional Radiology, University Hospital Cologne, Kerpener Str. 62, 50937, Cologne, Germany.
Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA.
Abdom Radiol (NY). 2018 Aug;43(8):2066-2074. doi: 10.1007/s00261-017-1411-1.
To investigate a benefit from virtual monoenergetic reconstructions (VMIs) for assessment of arterially hyper-enhancing liver lesions in phantom and patients and to compare hybrid-iterative and spectral image reconstructions of conventional images (CI-IR and CI-SR).
All imaging was performed on a SDCT (Philips Healthcare, Best, The Netherlands). Images of a non-anthropomorphic phantom with a lesion-mimicking insert (containing iodine in water solution) and arterial-phase images from contrast-enhanced patient examinations were evaluated. VMIs (40-200 keV, 10 keV increment), CI-IR, and CI-SR were reconstructed using different strengths of image denoising. ROIs were placed in lesions, liver/matrix, muscle; signal-to-noise, contrast-to-noise, and lesion-to-liver ratios (SNR, CNR, and LLR) were calculated. Qualitatively, 40, 70, and 110 keV and CI images were assessed by two radiologists on five-point Likert scales regarding overall image quality, lesion assessment, and noise.
In phantoms, SNR was increased threefold by VMI compared with CI-IR/SR (5.8 ± 1.1 vs. 18.8 ± 2.2, p ≤ 0.001), while no difference was found between CI-IR and CI-SR (p = 1). Denoising was capable of noise reduction by 40%. In total, 20 patients exhibiting 51 liver lesions were assessed. Attenuation was the highest in VMI, while image noise was comparable to CI-IR resulting in a threefold increase of CNR/LLR (CI-IR 1.3 ± 0.8/4.4 ± 2.0, VMI: 3.8 ± 2.7/14.2 ± 7.5, p ≤ 0.001). Subjective lesion delineation was the best in VMI image (p ≤ 0.01), which also provided the lowest perceptible noise and the best overall image quality.
VMIs improve assessment of arterially hyper-enhancing liver lesions since they increase lesion contrast while maintaining low image noise throughout the entire keV spectrum. These data suggest that to consider VMI screening after arterially hyper-enhancing liver lesions.
研究虚拟单能量重建(VMIs)在评估体模和患者动脉期高增强肝病变中的获益,并比较常规图像(CI-IR 和 CI-SR)的混合迭代和光谱图像重建。
所有成像均在 SDCT(荷兰飞利浦医疗保健公司)上进行。评估了具有病变模拟插件的非人体体模和增强患者动脉期图像的图像。使用不同强度的图像降噪技术对 VMIs(40-200keV,10keV 增量)、CI-IR 和 CI-SR 进行重建。在病变、肝/基质、肌肉中放置 ROI,计算信噪比(SNR)、对比噪声比(CNR)和病变与肝比值(LLR)。两位放射科医生使用 5 分制 Likert 量表对 40、70 和 110keV 及 CI 图像的整体图像质量、病变评估和噪声进行定性评估。
在体模中,VMIs 与 CI-IR/SR 相比,SNR 增加了三倍(5.8±1.1 比 18.8±2.2,p≤0.001),而 CI-IR 和 CI-SR 之间无差异(p=1)。降噪能够降低 40%的噪声。共评估了 20 名患者的 51 个肝脏病变。VMIs 中的衰减最高,而图像噪声与 CI-IR 相当,导致 CNR/LLR 增加了三倍(CI-IR 1.3±0.8/4.4±2.0,VMI:3.8±2.7/14.2±7.5,p≤0.001)。VMIs 图像中病变的主观描绘最好(p≤0.01),同时提供的可察觉噪声最低,整体图像质量最佳。
VMIs 改善了动脉期高增强肝病变的评估,因为它们在整个 keV 谱中增加了病变对比度,同时保持了低图像噪声。这些数据表明,在动脉期高增强肝病变后应考虑 VMIs 筛查。