Yihan Zhao, Tao Lv, Yue Xu, Jiankang Yin, Xin Wang, Yangyang Xue, Gan Zhu, Wenjing Yu, Hui Wang, Xiaohu Li
{"title":"应用动态[18F]FDG PET/CT 多参数成像改进良性和恶性肺部病变的鉴别。","authors":"Yihan Zhao, Tao Lv, Yue Xu, Jiankang Yin, Xin Wang, Yangyang Xue, Gan Zhu, Wenjing Yu, Hui Wang, Xiaohu Li","doi":"10.1007/s11307-024-01942-w","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>To evaluate the potential of whole-body dynamic (WBD) 2-deoxy-2-[<sup>18</sup>F]fluoro-D-glucose positron emission tomography/computed tomography ([<sup>18</sup>F]FDG PET/CT) multiparametric imaging in the differential diagnosis between benign and malignant lung lesions.</p><p><strong>Procedures: </strong>We retrospectively analyzed WBD PET/CT scans from patients with lung lesions performed between April 2020 and March 2023. Multiparametric images including standardized uptake value (SUV), metabolic rate (MR<sub>FDG</sub>) and distribution volume (DV<sub>FDG</sub>) were visually interpreted and compared. We adopted SUV<sub>max</sub>, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) for semi-quantitative analysis, MR<sub>max</sub> and DV<sub>max</sub> values for quantitative analysis. We also collected the patients' clinical characteristics. The variables above with P-value < 0.05 in the univariate analysis were entered into a multivariate logistic regression. The statistically significant metrics were plotted on receiver-operating characteristic (ROC) curves.</p><p><strong>Results: </strong>A total of 60 patients were included for data evaluation. We found that most malignant lesions showed high uptake on MR<sub>FDG</sub> and SUV images, and low or absent uptake on DV<sub>FDG</sub> images, while benign lesions showed low uptake on MR<sub>FDG</sub> images and high uptake on DV<sub>FDG</sub> images. Most malignant lesions showed a characteristic pattern of gradually increasing FDG uptake, whereas benign lesions presented an initial rise with rapid fall, then kept stable at a low level. The AUC values of MR<sub>max</sub> and SUV<sub>max</sub> are 0.874 (95% CI: 0.763-0.946) and 0.792 (95% CI: 0.667-0.886), respectively. DeLong's test showed the difference between the areas is statistically significant (P < 0.001).</p><p><strong>Conclusions: </strong>Our study demonstrated that dynamic [<sup>18</sup>F]FDG PET/CT imaging based on the Patlak analysis was a more accurate method of distinguishing malignancies from benign lesions than conventional static PET/CT scans.</p>","PeriodicalId":18760,"journal":{"name":"Molecular Imaging and Biology","volume":" ","pages":"790-801"},"PeriodicalIF":3.0000,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application of Dynamic [<sup>18</sup>F]FDG PET/CT Multiparametric Imaging Leads to an Improved Differentiation of Benign and Malignant Lung Lesions.\",\"authors\":\"Yihan Zhao, Tao Lv, Yue Xu, Jiankang Yin, Xin Wang, Yangyang Xue, Gan Zhu, Wenjing Yu, Hui Wang, Xiaohu Li\",\"doi\":\"10.1007/s11307-024-01942-w\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>To evaluate the potential of whole-body dynamic (WBD) 2-deoxy-2-[<sup>18</sup>F]fluoro-D-glucose positron emission tomography/computed tomography ([<sup>18</sup>F]FDG PET/CT) multiparametric imaging in the differential diagnosis between benign and malignant lung lesions.</p><p><strong>Procedures: </strong>We retrospectively analyzed WBD PET/CT scans from patients with lung lesions performed between April 2020 and March 2023. Multiparametric images including standardized uptake value (SUV), metabolic rate (MR<sub>FDG</sub>) and distribution volume (DV<sub>FDG</sub>) were visually interpreted and compared. We adopted SUV<sub>max</sub>, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) for semi-quantitative analysis, MR<sub>max</sub> and DV<sub>max</sub> values for quantitative analysis. We also collected the patients' clinical characteristics. The variables above with P-value < 0.05 in the univariate analysis were entered into a multivariate logistic regression. The statistically significant metrics were plotted on receiver-operating characteristic (ROC) curves.</p><p><strong>Results: </strong>A total of 60 patients were included for data evaluation. We found that most malignant lesions showed high uptake on MR<sub>FDG</sub> and SUV images, and low or absent uptake on DV<sub>FDG</sub> images, while benign lesions showed low uptake on MR<sub>FDG</sub> images and high uptake on DV<sub>FDG</sub> images. Most malignant lesions showed a characteristic pattern of gradually increasing FDG uptake, whereas benign lesions presented an initial rise with rapid fall, then kept stable at a low level. The AUC values of MR<sub>max</sub> and SUV<sub>max</sub> are 0.874 (95% CI: 0.763-0.946) and 0.792 (95% CI: 0.667-0.886), respectively. 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Application of Dynamic [18F]FDG PET/CT Multiparametric Imaging Leads to an Improved Differentiation of Benign and Malignant Lung Lesions.
Purpose: To evaluate the potential of whole-body dynamic (WBD) 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography ([18F]FDG PET/CT) multiparametric imaging in the differential diagnosis between benign and malignant lung lesions.
Procedures: We retrospectively analyzed WBD PET/CT scans from patients with lung lesions performed between April 2020 and March 2023. Multiparametric images including standardized uptake value (SUV), metabolic rate (MRFDG) and distribution volume (DVFDG) were visually interpreted and compared. We adopted SUVmax, metabolic tumor volume (MTV) and total lesion glycolysis (TLG) for semi-quantitative analysis, MRmax and DVmax values for quantitative analysis. We also collected the patients' clinical characteristics. The variables above with P-value < 0.05 in the univariate analysis were entered into a multivariate logistic regression. The statistically significant metrics were plotted on receiver-operating characteristic (ROC) curves.
Results: A total of 60 patients were included for data evaluation. We found that most malignant lesions showed high uptake on MRFDG and SUV images, and low or absent uptake on DVFDG images, while benign lesions showed low uptake on MRFDG images and high uptake on DVFDG images. Most malignant lesions showed a characteristic pattern of gradually increasing FDG uptake, whereas benign lesions presented an initial rise with rapid fall, then kept stable at a low level. The AUC values of MRmax and SUVmax are 0.874 (95% CI: 0.763-0.946) and 0.792 (95% CI: 0.667-0.886), respectively. DeLong's test showed the difference between the areas is statistically significant (P < 0.001).
Conclusions: Our study demonstrated that dynamic [18F]FDG PET/CT imaging based on the Patlak analysis was a more accurate method of distinguishing malignancies from benign lesions than conventional static PET/CT scans.
期刊介绍：
Molecular Imaging and Biology (MIB) invites original contributions (research articles, review articles, commentaries, etc.) on the utilization of molecular imaging (i.e., nuclear imaging, optical imaging, autoradiography and pathology, MRI, MPI, ultrasound imaging, radiomics/genomics etc.) to investigate questions related to biology and health. The objective of MIB is to provide a forum to the discovery of molecular mechanisms of disease through the use of imaging techniques. We aim to investigate the biological nature of disease in patients and establish new molecular imaging diagnostic and therapy procedures.
Some areas that are covered are:
Preclinical and clinical imaging of macromolecular targets (e.g., genes, receptors, enzymes) involved in significant biological processes.
The design, characterization, and study of new molecular imaging probes and contrast agents for the functional interrogation of macromolecular targets.
Development and evaluation of imaging systems including instrumentation, image reconstruction algorithms, image analysis, and display.
Development of molecular assay approaches leading to quantification of the biological information obtained in molecular imaging.
Study of in vivo animal models of disease for the development of new molecular diagnostics and therapeutics.
Extension of in vitro and in vivo discoveries using disease models, into well designed clinical research investigations.
Clinical molecular imaging involving clinical investigations, clinical trials and medical management or cost-effectiveness studies.
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