Bin Zhao, Binwei Guo, Bin Huang, M. Liang, ZhiXing Qin, X. Hao, Sijin Li, Zhifang Wu
{"title":"Effects of different reconstruction algorithms on SUV of pulmonary nodules in 18F-FDG PET/CT","authors":"Bin Zhao, Binwei Guo, Bin Huang, M. Liang, ZhiXing Qin, X. Hao, Sijin Li, Zhifang Wu","doi":"10.3760/CMA.J.CN321828-20191122-00266","DOIUrl":null,"url":null,"abstract":"Objective \nTo compare four reconstruction algorithms of 18F-fluorodeoxyglucose (FDG) PET/CT on standardized uptake value (SUV) of pulmonary nodules. \n \n \nMethods \nA total of 46 patients (27 males, 19 females; median age: 66 (range: 44-82) years) with solid pulmonary nodules from February 2018 to July 2019 in the First Hospital of Shanxi Medical University who performed 18F-FDG PET/CT imaging were enrolled. All PET/CT images were retrospectively reconstructed by using four algorithms reconstructions including ordered subset expectation maximization (OSEM), OSEM+ time of flight (TOF), OSEM+ TOF+ point spread function (PSF) and block sequential regularized expectation maximization (BSREM) (G1-G4). Nodule and background parameters were analyzed semi-quantitatively and visually. The maximum of SUV(SUVmax), mean of SUV(SUVmean) and peak of SUV (SUVpeak) were collected by the region of interest (ROI). Nodules were divided into small nodule group (diameter ≤10 mm) and large nodule group (10 mm < diameter ≤30 mm). Kruskal-Wallis rank sum test and Bonferroni method were performed to compare the differences of SUVs between G1-G4, and Spearman correlation analysis was used to analyze the correlation between the change rate of SUV (%ΔSUV) and the diameter of nodules. The receiver operating characteristic (ROC) curve analysis was used to analyze the diagnostic efficacy of SUV for the differential diagnosis of pulmonary nodules and to get the optimal threshold. \n \n \nResults \nThere were 114 pulmonary nodules (large nodules, n=55; small nodules, n=59). In visual analysis, the visual detection rates of small nodules in G4 were 55.93%(33/59), 44.07%(26/59), 20.34%(12/59) higher than those in G1-G3. Of 114 pulmonary nodules in 46 patients, there were differences in SUVmax and SUVmean between G1-G4 (median SUVmax : 2.65-5.29, median SUVmean: 2.05-2.99; H values: 20.628 and 17.749, respectively, both P 0.05). The optimal threshold values of SUVmax in G1-G4 were 4.335, 5.185, 5.410, 5.745 and the area of under curves (AUCs) were 0.747, 0.699, 0.756, 0.778 respectively. The AUC of SUVmean and SUVpeak also showed a similar trend. \n \n \nConclusion \nAmong the four reconstruction algorithms, BRERM can not only enhance the image quality, but also significantly improve the SUVmax and SUVmean of lung nodules diameter below 10 mm, and thus its diagnostic threshold of SUV should be appropriately increased. \n \n \nKey words: \nLung neoplasms; Positron-emission tomography; Tomography, X-ray computed; Image processing, computer-assisted; Deoxyglucose","PeriodicalId":10099,"journal":{"name":"中华核医学与分子影像杂志","volume":"40 1","pages":"224-230"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"中华核医学与分子影像杂志","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.3760/CMA.J.CN321828-20191122-00266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Objective
To compare four reconstruction algorithms of 18F-fluorodeoxyglucose (FDG) PET/CT on standardized uptake value (SUV) of pulmonary nodules.
Methods
A total of 46 patients (27 males, 19 females; median age: 66 (range: 44-82) years) with solid pulmonary nodules from February 2018 to July 2019 in the First Hospital of Shanxi Medical University who performed 18F-FDG PET/CT imaging were enrolled. All PET/CT images were retrospectively reconstructed by using four algorithms reconstructions including ordered subset expectation maximization (OSEM), OSEM+ time of flight (TOF), OSEM+ TOF+ point spread function (PSF) and block sequential regularized expectation maximization (BSREM) (G1-G4). Nodule and background parameters were analyzed semi-quantitatively and visually. The maximum of SUV(SUVmax), mean of SUV(SUVmean) and peak of SUV (SUVpeak) were collected by the region of interest (ROI). Nodules were divided into small nodule group (diameter ≤10 mm) and large nodule group (10 mm < diameter ≤30 mm). Kruskal-Wallis rank sum test and Bonferroni method were performed to compare the differences of SUVs between G1-G4, and Spearman correlation analysis was used to analyze the correlation between the change rate of SUV (%ΔSUV) and the diameter of nodules. The receiver operating characteristic (ROC) curve analysis was used to analyze the diagnostic efficacy of SUV for the differential diagnosis of pulmonary nodules and to get the optimal threshold.
Results
There were 114 pulmonary nodules (large nodules, n=55; small nodules, n=59). In visual analysis, the visual detection rates of small nodules in G4 were 55.93%(33/59), 44.07%(26/59), 20.34%(12/59) higher than those in G1-G3. Of 114 pulmonary nodules in 46 patients, there were differences in SUVmax and SUVmean between G1-G4 (median SUVmax : 2.65-5.29, median SUVmean: 2.05-2.99; H values: 20.628 and 17.749, respectively, both P 0.05). The optimal threshold values of SUVmax in G1-G4 were 4.335, 5.185, 5.410, 5.745 and the area of under curves (AUCs) were 0.747, 0.699, 0.756, 0.778 respectively. The AUC of SUVmean and SUVpeak also showed a similar trend.
Conclusion
Among the four reconstruction algorithms, BRERM can not only enhance the image quality, but also significantly improve the SUVmax and SUVmean of lung nodules diameter below 10 mm, and thus its diagnostic threshold of SUV should be appropriately increased.
Key words:
Lung neoplasms; Positron-emission tomography; Tomography, X-ray computed; Image processing, computer-assisted; Deoxyglucose
期刊介绍:
Chinese Journal of Nuclear Medicine and Molecular Imaging (CJNMMI) was established in 1981, with the name of Chinese Journal of Nuclear Medicine, and renamed in 2012. As the specialized periodical in the domain of nuclear medicine in China, the aim of Chinese Journal of Nuclear Medicine and Molecular Imaging is to develop nuclear medicine sciences, push forward nuclear medicine education and basic construction, foster qualified personnel training and academic exchanges, and popularize related knowledge and raising public awareness.
Topics of interest for Chinese Journal of Nuclear Medicine and Molecular Imaging include:
-Research and commentary on nuclear medicine and molecular imaging with significant implications for disease diagnosis and treatment
-Investigative studies of heart, brain imaging and tumor positioning
-Perspectives and reviews on research topics that discuss the implications of findings from the basic science and clinical practice of nuclear medicine and molecular imaging
- Nuclear medicine education and personnel training
- Topics of interest for nuclear medicine and molecular imaging include subject coverage diseases such as cardiovascular diseases, cancer, Alzheimer’s disease, and Parkinson’s disease, and also radionuclide therapy, radiomics, molecular probes and related translational research.