Department of Nuclear Medicine, Kuwait Cancer Control Centre, Kuwait, Kuwait.
Department of Nuclear Medicine, Jaber Al-Ahmad Molecular Imaging Center, Kuwait, Kuwait.
Br J Radiol. 2021 Apr 1;94(1120):20210043. doi: 10.1259/bjr.20210043. Epub 2021 Feb 11.
A new Bayesian penalized likelihood reconstruction algorithm for positron emission tomography (PET) (Q.Clear) is now in clinical use for fludeoxyglucose (FDG) PET/CT. However, experience with non-FDG tracers and in special patient populations is limited. This pilot study aims to compare Q.Clear to standard PET reconstructions for F sodium fluoride (F-NaF) PET in obese patients.
30 whole body F-NaF PET/CT scans (10 patients with BMI 30-40 Kg/m and 20 patients with BMI >40 Kg/m) and a NEMA image quality phantom scans were analyzed using ordered subset expectation maximization (OSEM) and Q.Clear reconstructions methods with B400, 600, 800 and 1000. The images were assessed for overall image quality (IQ), noise level, background soft tissue, and lesion detectability, contrast recovery (CR), background variability (BV) and contrast-to-noise ratio (CNR) for both algorithms.
CNR for clinical cases was higher for Q.Clear than OSEM ( < 0.05). Mean CNR for OSEM was (21.62 ± 8.9), and for Q.Clear B400 (31.82 ± 14.6), B600 (35.54 ± 14.9), B800 (39.81 ± 16.1), and B1000 (40.9 ± 17.8). As the β value increased the CNR increased in all clinical cases. B600 was the preferred β value for reconstruction in obese patients. The phantom study showed Q.Clear reconstructions gave lower CR and lower BV than OSEM. The CNR for all spheres was significantly higher for Q.Clear (independent of β) than OSEM ( < 0.05), suggesting superiority of Q.Clear.
This pilot clinical study shows that Q.Clear reconstruction algorithm improves overall IQ of F-NaF PET in obese patients. Our clinical and phantom measurement results demonstrate improved CNR and reduced BV when using Q.Clear. A β value of 600 is preferred for reconstructing F-NaF PET/CT with Q.Clear in obese patients.
F-NaF PET/CT is less susceptible to artifacts induced by body habitus. Bayesian penalized likelihood reconstruction withF-NaF PET improves overall IQ in obese patients.
正电子发射断层扫描(PET)的新贝叶斯惩罚似然重建算法(Q.Clear)目前已在临床中用于氟脱氧葡萄糖(FDG)PET/CT。然而,其在非 FDG 示踪剂和特殊患者人群中的应用经验有限。本研究旨在比较 Q.Clear 与标准重建方法在肥胖患者氟钠(F-NaF)PET 中的应用。
对 30 例全身 F-NaF PET/CT 扫描(10 例 BMI 为 30-40kg/m2,20 例 BMI >40kg/m2)和一个 NEMA 图像质量体模扫描进行分析,使用有序子集期望最大化(OSEM)和 Q.Clear 重建方法,β值分别为 400、600、800 和 1000。使用两种算法评估整体图像质量(IQ)、噪声水平、背景软组织和病灶可检测性、对比恢复(CR)、背景变异性(BV)和对比噪声比(CNR)。
临床病例中 Q.Clear 的 CNR 高于 OSEM(<0.05)。OSEM 的平均 CNR 为(21.62±8.9),Q.Clear B400 的为(31.82±14.6),Q.Clear B600 的为(35.54±14.9),Q.Clear B800 的为(39.81±16.1),Q.Clear B1000 的为(40.9±17.8)。随着β值的增加,所有临床病例的 CNR 均增加。在肥胖患者中,β=600 是重建的最佳β值。体模研究表明,Q.Clear 重建的 CR 和 BV 低于 OSEM。所有球体的 CNR 均显著高于 OSEM(独立于β)(<0.05),提示 Q.Clear 的优越性。
本临床研究表明,Q.Clear 重建算法可提高肥胖患者 F-NaF PET 的整体 IQ。我们的临床和体模测量结果表明,在使用 Q.Clear 时,CNR 提高,BV 降低。在肥胖患者中,使用 Q.Clear 重建 F-NaF PET/CT 时,β=600 是首选。
F-NaF PET/CT 较少受到体态引起的伪影的影响。使用 F-NaF PET 的贝叶斯惩罚似然重建可提高肥胖患者的整体 IQ。