Zhou Yuhan, Lei Limin, Wang Zhihao, Cao Weimeng, Qin Minghui, Dong Shushan, Dang Jinjin, Zhou Zhigang
Department of Radiology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Department of Clinical Science, Philips Healthcare, Beijing, China.
Quant Imaging Med Surg. 2024 Jan 3;14(1):698-710. doi: 10.21037/qims-23-843. Epub 2024 Jan 2.
Virtual monochromatic image (VMI) combined with orthopedic metal artifact reduction algorithms (VMI + O-MAR) can effectively reduce artifacts caused by metal implants of different types. Nevertheless, so far, no study has systematically evaluated the efficacy of VMI + O-MAR in reducing various types of metal artifacts induced by I seeds. The aim of this study was to assess the effectiveness of combining spectral computed tomography (CT) images with O-MAR in reducing metal artifacts and improving the image quality affected by artifacts in patients after I radioactive seeds implantation (RSI).
A total of 45 patients who underwent dual-layer detector spectral CT (DLCT; IQon, Philips Healthcare) scanning of mediastinal and hepatic tumors after I RSI were retrospectively included. Spectral data were reconstructed into conventional image (CI), VMI, CI combined with O-MAR (CI + O-MAR), and VMI + O-MAR to evaluate the de-artifact effect and image quality improvement. Objective indicators included signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and artifact index (AI) of lesions affected by artifacts. Subjective indicators included assessment of overcorrected artifacts and new artifacts, different morphology of artifacts, and overall image quality.
In artifact-affected lesion areas, SNR and CNR in the CI/VMI + O-MAR groups were better than those in CI groups (all P values <0.05). The AI showed a downward trend as VMI keV increased (all P values <0.001). The AI values of the CI/VMI (50-150 keV) group were all higher than the groups of CI/VMI + O-MAR (50-150 keV) (P<0.001). Overcorrection artifacts and new artifacts were concentrated in the VMI50/70 keV groups. In the evaluation of artifact morphology, as the VMI keV increased, the number of near-field banding artifacts in hyperdense artifacts gradually decreased, whereas the number of minimal or no artifacts increased, and the total number of hyperdense artifacts were decreased. The diagnostic and image quality scores of hyperdense artifacts were higher than those of hypodense artifacts as VMI keV increased.
High VMI level combined with O-MAR substantially improve objective and subjective image quality, lesion display ability, and diagnostic confidence of CT follow-up after I RSI, especially at the VMI + O-MAR 150 keV level.
虚拟单色图像(VMI)结合骨科金属伪影减少算法(VMI + O - MAR)可有效减少不同类型金属植入物引起的伪影。然而,迄今为止,尚无研究系统评估VMI + O - MAR减少碘籽源所致各类金属伪影的效果。本研究旨在评估光谱计算机断层扫描(CT)图像与O - MAR相结合在减少碘放射性籽源植入(RSI)术后患者金属伪影及改善受伪影影响的图像质量方面的有效性。
回顾性纳入45例接受碘RSI后进行双层探测器光谱CT(DLCT;飞利浦医疗IQon)纵隔和肝脏肿瘤扫描的患者。将光谱数据重建为常规图像(CI)、VMI、CI结合O - MAR(CI + O - MAR)以及VMI + O - MAR,以评估去伪影效果和图像质量改善情况。客观指标包括受伪影影响病变的信噪比(SNR)、对比噪声比(CNR)和伪影指数(AI)。主观指标包括对过矫正伪影和新伪影的评估、伪影的不同形态以及整体图像质量。
在受伪影影响的病变区域,CI/VMI + O - MAR组的SNR和CNR优于CI组(所有P值<0.05)。随着VMI keV增加,AI呈下降趋势(所有P值<0.001)。CI/VMI(50 - 150 keV)组的AI值均高于CI/VMI + O - MAR(50 - 150 keV)组(P<0.001)。过矫正伪影和新伪影集中在VMI50/70 keV组。在伪影形态评估中,随着VMI keV增加,高密度伪影中近场带状伪影数量逐渐减少,而最小伪影或无伪影数量增加,高密度伪影总数减少。随着VMI keV增加,高密度伪影的诊断和图像质量评分高于低密度伪影。
高VMI水平结合O - MAR可显著提高碘RSI术后CT随访的客观和主观图像质量、病变显示能力及诊断信心,尤其是在VMI + O - MAR 150 keV水平。