Thomas M Allan, Pan Tinsu
Department of Imaging Physics, UT MD Anderson Cancer Center, Houston, TX, 77030, USA.
EJNMMI Phys. 2021 Aug 28;8(1):64. doi: 10.1186/s40658-021-00411-5.
Data-driven gating (DDG) can improve PET quantitation and alleviate many issues with patient motion. However, misregistration between DDG-PET and CT may occur due to the distinct temporal resolutions of PET and CT and can be mitigated by DDG-CT. Here, the effects of misregistration and respiratory motion on PET quantitation and lesion segmentation were assessed with a new DDG-PET/CT method.
A low-dose cine-CT was acquired in misregistered regions to enable both average CT (ACT) and DDG-CT. The following were compared: (1) baseline PET/CT, (2) PET/ACT (attenuation correction, AC = ACT), (3) DDG-PET (AC = helical CT), and (4) DDG-PET/CT (AC = DDG-CT). For DDG-PET, end-expiration (EE) data were derived from 50% of the total PET data at 30% from end-inspiration. For DDG-CT, EE phase CT data were extracted from cine-CT data by lung Hounsfield unit (HU) value and body contour. A total of 91 lesions from 16 consecutive patients were assessed for changes in standard uptake value (SUV), lesion glycolysis (LG), lesion volume, centroid-to-centroid distance (CCD), and DICE coefficients.
Relative to baseline PET/CT, median changes in SUV ± σ for all 91 lesions were 20 ± 43%, 26 ± 23%, and 66 ± 66%, respectively, for PET/ACT, DDG-PET, and DDG-PET/CT. Median changes in lesion volume were 0 ± 58%, - 36 ± 26%, and - 26 ± 40%. LG for individual lesions increased for PET/ACT and decreased for DDG-PET, but was not different for DDG-PET/CT. Changes in mean HU from baseline PET/CT were dramatic for most lesions in both PET/ACT and DDG-PET/CT, especially for lesions with mean HU < 0 at baseline. CCD and DICE were both affected more by motion correction with DDG-PET than improved registration with ACT or DDG-CT.
As misregistration becomes more prominent, the impact of motion correction with DDG-PET is diminished. The potential benefits of DDG-PET toward accurate lesion segmentation and quantitation could only be fully realized when combined with DDG-CT. These results impress upon the necessity of ensuring both misregistration and motion correction are accounted for together to optimize the clinical utility of PET/CT.
数据驱动门控(DDG)可改善正电子发射断层显像(PET)定量分析并缓解许多患者运动相关问题。然而,由于PET和CT的时间分辨率不同,DDG-PET与CT之间可能会出现配准错误,而DDG-CT可减轻这种情况。在此,采用一种新的DDG-PET/CT方法评估配准错误和呼吸运动对PET定量分析及病变分割的影响。
在配准错误区域采集低剂量电影CT,以获取平均CT(ACT)和DDG-CT。比较以下各项:(1)基线PET/CT,(2)PET/ACT(衰减校正,AC = ACT),(3)DDG-PET(AC =螺旋CT),以及(4)DDG-PET/CT(AC = DDG-CT)。对于DDG-PET,呼气末(EE)数据来自总PET数据的50%,处于吸气末30%的位置。对于DDG-CT,通过肺霍夫曼单位(HU)值和身体轮廓从电影CT数据中提取EE期CT数据。对16例连续患者的91个病变进行标准摄取值(SUV)、病变糖酵解(LG)、病变体积、质心到质心距离(CCD)和骰子系数的变化评估。
相对于基线PET/CT,所有91个病变的SUV中位数变化±标准差,PET/ACT、DDG-PET和DDG-PET/CT分别为20±43%、26±23%和66±66%。病变体积的中位数变化分别为0±58%、-36±26%和-26±40%。PET/ACT时单个病变的LG增加,DDG-PET时降低,但DDG-PET/CT时无差异。PET/ACT和DDG-PET/CT中,大多数病变相对于基线PET/CT的平均HU变化显著,尤其是基线时平均HU < 0的病变。与ACT或DDG-CT的配准改善相比,DDG-PET的运动校正对CCD和骰子系数的影响更大。
随着配准错误变得更加突出,DDG-PET运动校正的影响会减弱。只有与DDG-CT结合时,DDG-PET在准确病变分割和定量分析方面的潜在益处才能充分实现。这些结果强调了确保同时考虑配准错误和运动校正以优化PET/CT临床应用的必要性。