Clinical Investigation
Effect of different β values combined with partial volume effect correction on the semi-quantitative accuracy and image quality of 68Ga-PSMA PET/CT
Guo Binwei, Huang Bin, Li Xiaomeng, Zhao Jingxu, Li Yayuan, Li Sijin, Wu Zhifang
Published 2022-07-25
Cite as Chin J Nucl Med Mol Imaging, 2022, 42(7): 401-405. DOI: 10.3760/cma.j.cn321828-20201218-00451
Abstract
ObjectiveTo compare the effect of different β values on the semi-quantitative accuracy and image quality of 68Ga-prostate specific membrane antigen (PSMA) PET/CT imaging after partial volume effect correction (PVC).
MethodsIn the model experiment, image reconstruction was carried out based on block sequential regularized expectation maximization algorithm (BSREMA) with the range of β values from 100 to 1 000. Recovery coefficient (RC), contrast recovery (CR) and background variability (BV) were measured to evaluate semi-quantitative accuracy and image quality. In the clinical study, image data of 21 prostate cancer patients (age 45-78 years) who underwent 68Ga-PSMA PET/CT examination in the First Hospital of Shanxi Medical University from March 2019 to February 2020 were retrospectively collected. A total of 29 abdominal imaging positive lymph nodes were divided into the small lymph node group (diameter <10 mm; n=12) and the large lymph node group (10 mm≤diameter≤30 mm; n=17). SUV parameters including SUVmax, SUVmean and peak of SUV (SUVpeak) and the influence of different β values on the SUV parameters were evaluated. The signal to noise ratio (SNR) and subjective scores were used to evaluate image quality. Independent-sample t test, Kappa test and Pearson correlation analysis were used to analyze data.
ResultsThe model experiment showed that CR, RC and BV decreased with the increase of β values. The image quality, image clarity, lesion significance, and total image scores given by nuclear medicine physicians showed strong consistency (Kappa values: 0.65-0.87, P values: 0.026-0.043). The small lymph node group had the highest score (13 and 14) with β value of 600, while the large lymph node group had the highest score (13 and 14) with β value of 700. SNR of the two groups increased steadily within β values from 100 to 600 (t values: 2.49-8.99, P values: 0.023-0.038). When the β value was higher than 600, SNR of the small lymph node group reached a plateau (t values: 1.28-2.00, P values: 0.072-0.098), while the SNR of the large lymph node group continued to increase (t values: 2.98-4.63, P values: 0.012-0.029). Before PVC, there were significant negative correlations between SUV parameters and β values (r values: from -0.94 to -0.64, P values: 0.039-0.046). After PVC, it was found that SUVmean and SUVmax still had significant negative correlation with β values (r values: from -0.78 to -0.68, P values: 0.035-0.042), while the SUVpeak showed no significant correlation with β values (r values: -0.22, -0.28, P values: 0.069, 0.126).
ConclusionsBased on subjective scores and semi-quantitative indicators, 68Ga-PSMA PET/CT is superior to select β values of 600 and 700 for image reconstruction based on BSREMA. The SUVpeak of small lesions is stable after PVC and the clinical value should be explored in further.
Key words:
Prostatic neoplasms; Prostate-specific membrane antigen; Isotope labeling; Gallium radioisotopes; Positron-emission tomography; Tomography, X-ray computed; Image processing, computer-assisted
Contributor Information
Guo Binwei
Department of Nuclear Medicine, First Hospital of Shanxi Medical University
Collaborative Innovation Center of Molecular Imaging Precision Diagnosis and Treatment, Taiyuan 030001, China
Huang Bin
Department of Nuclear Medicine, First Hospital of Shanxi Medical University
Collaborative Innovation Center of Molecular Imaging Precision Diagnosis and Treatment, Taiyuan 030001, China
Li Xiaomeng
Department of Nuclear Medicine, First Hospital of Shanxi Medical University
Collaborative Innovation Center of Molecular Imaging Precision Diagnosis and Treatment, Taiyuan 030001, China
Zhao Jingxu
Department of Nuclear Medicine, First Hospital of Shanxi Medical University
Collaborative Innovation Center of Molecular Imaging Precision Diagnosis and Treatment, Taiyuan 030001, China
Li Yayuan
Department of Nuclear Medicine, First Hospital of Shanxi Medical University
Collaborative Innovation Center of Molecular Imaging Precision Diagnosis and Treatment, Taiyuan 030001, China
Li Sijin
Department of Nuclear Medicine, First Hospital of Shanxi Medical University
Collaborative Innovation Center of Molecular Imaging Precision Diagnosis and Treatment, Taiyuan 030001, China
Wu Zhifang
Department of Nuclear Medicine, First Hospital of Shanxi Medical University
Collaborative Innovation Center of Molecular Imaging Precision Diagnosis and Treatment, Taiyuan 030001, China