Yada Nobuhiro, Kuroda Hiroyuki, Kawamura Toshihiko, Fukuda Mizuki, Miyahara Yoshinori, Yoshizako Takeshi, Kaji Yasushi
Department of Radiology, Shimane University Hospital, Izumo, Japan.
Department of Radiology, Faculty of Medicine, Shimane University, Izumo, Japan.
Asia Ocean J Nucl Med Biol. 2025;13(1):77-86. doi: 10.22038/aojnmb.2024.78080.1553.
We investigated image quality and standardized uptake values (SUVs) for different lesion sizes using clinical data generated by F-FDG-prone breast silicon photomultiplier (SiPM)-based positron emission tomography/computed tomography (PET/CT).
We evaluated the effect of point-spread function (PSF) modeling and Gaussian filtering (Gau) and determined the optimal reconstruction conditions. We compared the signal-to-noise ratio (SNR), contrast, %coefficient of variation (%CV), SUV, and Likert scale score between ordered-subset expectation maximization (OSEM) time-of-flight (TOF) and OSEM+TOF+PSF in phantom and clinical studies. The conventional image was generated with OSEM+TOF_Gau 6 mm. The National Electrical Manufacturers Association body phantom with 10-mm hot sphere data was acquired for 5 min. Twenty-six patients (40 lesions, ranging from 3.7 to 63.0 mm) were examined using prone breast PET/CT with a breast positioner for breast cancer staging. PET data were acquired 125±9.7 min after intravenous injection of 220±16.1 MBq at 5 min/bed.
In the phantom study, a high SNR was obtained from a 3- to 5-mm Gaussian filter for OSEM+TOF+PSF. The contrast obtained with OSEM+TOF without Gaussian filtering was superior to that obtained with OSEM+TOF+PSF_Gau 4 mm. In the clinical study, the image quality depended on lesion size. The average SNR was significantly higher at 40.8% for lesions >20 mm with OSEM+TOF_Gau 6 mm than with OSEM+TOF without Gaussian filtering. The average contrast for lesions ≤10 mm was significantly higher by 42.0% with OSEM+TOF without Gaussian filtering than with OSEM+TOF_Gau 6 mm. The average SUV of OSEM+TOF without Gaussian filtering significantly increased by 53.3% for lesions ≤10 mm.
OSEM+TOF without Gaussian filtering provided good contrast and quantitative value for small lesions.
我们利用基于F-FDG的俯卧位乳腺硅光电倍增管（SiPM）的正电子发射断层扫描/计算机断层扫描（PET/CT）生成的临床数据，研究了不同病变大小的图像质量和标准化摄取值（SUV）。
我们评估了点扩散函数（PSF）建模和高斯滤波（Gau）的效果，并确定了最佳重建条件。我们在体模和临床研究中比较了有序子集期望最大化（OSEM）飞行时间（TOF）和OSEM+TOF+PSF之间的信噪比（SNR）、对比度、变异系数百分比（%CV）、SUV和李克特量表评分。传统图像采用OSEM+TOF_Gau 6 mm生成。使用带有10毫米热球数据的美国国家电气制造商协会体模采集5分钟。26例患者（40个病变，范围为3.7至63.0毫米）使用俯卧位乳腺PET/CT和乳腺定位器进行乳腺癌分期检查。静脉注射220±16.1 MBq后125±9.7分钟，以5分钟/床位采集PET数据。
在体模研究中，对于OSEM+TOF+PSF，3至5毫米的高斯滤波器可获得较高的SNR。未进行高斯滤波的OSEM+TOF获得的对比度优于OSEM+TOF+PSF_Gau 4毫米获得的对比度。在临床研究中，图像质量取决于病变大小。对于大于20毫米的病变，OSEM+TOF_Gau 6 mm的平均SNR比未进行高斯滤波的OSEM+TOF显著高40.8%。对于≤10毫米的病变，未进行高斯滤波的OSEM+TOF的平均对比度比OSEM+TOF_Gau 6 mm显著高42.0%。对于≤10毫米的病变，未进行高斯滤波的OSEM+TOF的平均SUV显著增加了53.3%。
未进行高斯滤波的OSEM+TOF为小病变提供了良好的对比度和定量值。
