Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT
Abstract Purpose To investigate the clinical value of radiomic analysis on [18F]FDG and [18F]FLT PET on the differentiation of [18F]FDG-avid benign and malignant pulmonary nodules (PNs). Methods Data of 113 patients with inconclusive PNs based on preoperative [18F]FDG PET/CT who underwent additional...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2023-11-01
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| Series: | Insights into Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13244-023-01530-6 |
| _version_ | 1827634068172308480 |
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| author | Jing Ning Can Li Peng Yu Jingjing Cui Xiaodan Xu Yan Jia Panli Zuo Jiahe Tian Lukas Kenner Baixuan Xu |
| author_facet | Jing Ning Can Li Peng Yu Jingjing Cui Xiaodan Xu Yan Jia Panli Zuo Jiahe Tian Lukas Kenner Baixuan Xu |
| author_sort | Jing Ning |
| collection | DOAJ |
| description | Abstract Purpose To investigate the clinical value of radiomic analysis on [18F]FDG and [18F]FLT PET on the differentiation of [18F]FDG-avid benign and malignant pulmonary nodules (PNs). Methods Data of 113 patients with inconclusive PNs based on preoperative [18F]FDG PET/CT who underwent additional [18F]FLT PET/CT scans within a week were retrospectively analyzed in the present study. Three methods of analysis including visual analysis, radiomic analysis based on [18F]FDG PET/CT images alone, and radiomic analysis based on dual-tracer PET/CT images were evaluated for differential diagnostic value of benign and malignant PNs. Results A total of 678 radiomic features were extracted from volumes of interest (VOIs) of 123 PNs. Fourteen valuable features were thereafter selected. Based on a visual analysis of [18F]FDG PET/CT images, the diagnostic accuracy, sensitivity, and specificity were 61.6%, 90%, and 28.8%, respectively. For the test set, the area under the curve (AUC), sensitivity, and specificity of the radiomic models based on [18F]FDG PET/CT plus [18F]FLT signature were equal or better than radiomics based on [18F]FDG PET/CT only (0.838 vs 0.810, 0.778 vs 0.778, 0.750 vs 0.688, respectively). Conclusion Radiomic analysis based on dual-tracer PET/CT images is clinically promising and feasible for the differentiation between benign and malignant PNs. Clinical relevance statement Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT. Key points • Radiomics brings new insights into the differentiation of benign and malignant pulmonary nodules beyond the naked eyes. • Dual-tracer imaging shows the biological behaviors of cancerous cells from different aspects. • Radiomics helps us get to the histological view in a non-invasive approach. Graphical Abstract |
| first_indexed | 2024-03-09T15:08:15Z |
| format | Article |
| id | doaj.art-cd2e3ff0754d4614b9219387e486d5fa |
| institution | Directory Open Access Journal |
| issn | 1869-4101 |
| language | English |
| last_indexed | 2024-03-09T15:08:15Z |
| publishDate | 2023-11-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Insights into Imaging |
| spelling | doaj.art-cd2e3ff0754d4614b9219387e486d5fa2023-11-26T13:32:47ZengSpringerOpenInsights into Imaging1869-41012023-11-0114111010.1186/s13244-023-01530-6Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CTJing Ning0Can Li1Peng Yu2Jingjing Cui3Xiaodan Xu4Yan Jia5Panli Zuo6Jiahe Tian7Lukas Kenner8Baixuan Xu9Department of Nuclear Medicine, First Medical Center of Chinese PLA General HospitalDepartment of Nuclear Medicine, First Medical Center of Chinese PLA General HospitalDepartment of Nuclear Medicine, First Medical Center of Chinese PLA General HospitalUnited Imaging Intelligence (Beijing) Co., Ltd., BeijingDepartment of Nuclear Medicine, First Medical Center of Chinese PLA General HospitalHuiying Medical Technology Co., Ltd.Huiying Medical Technology Co., Ltd.Department of Nuclear Medicine, First Medical Center of Chinese PLA General HospitalChristian Doppler Laboratory for Applied Metabolomics, Medical University of ViennaDepartment of Nuclear Medicine, First Medical Center of Chinese PLA General HospitalAbstract Purpose To investigate the clinical value of radiomic analysis on [18F]FDG and [18F]FLT PET on the differentiation of [18F]FDG-avid benign and malignant pulmonary nodules (PNs). Methods Data of 113 patients with inconclusive PNs based on preoperative [18F]FDG PET/CT who underwent additional [18F]FLT PET/CT scans within a week were retrospectively analyzed in the present study. Three methods of analysis including visual analysis, radiomic analysis based on [18F]FDG PET/CT images alone, and radiomic analysis based on dual-tracer PET/CT images were evaluated for differential diagnostic value of benign and malignant PNs. Results A total of 678 radiomic features were extracted from volumes of interest (VOIs) of 123 PNs. Fourteen valuable features were thereafter selected. Based on a visual analysis of [18F]FDG PET/CT images, the diagnostic accuracy, sensitivity, and specificity were 61.6%, 90%, and 28.8%, respectively. For the test set, the area under the curve (AUC), sensitivity, and specificity of the radiomic models based on [18F]FDG PET/CT plus [18F]FLT signature were equal or better than radiomics based on [18F]FDG PET/CT only (0.838 vs 0.810, 0.778 vs 0.778, 0.750 vs 0.688, respectively). Conclusion Radiomic analysis based on dual-tracer PET/CT images is clinically promising and feasible for the differentiation between benign and malignant PNs. Clinical relevance statement Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT. Key points • Radiomics brings new insights into the differentiation of benign and malignant pulmonary nodules beyond the naked eyes. • Dual-tracer imaging shows the biological behaviors of cancerous cells from different aspects. • Radiomics helps us get to the histological view in a non-invasive approach. Graphical Abstracthttps://doi.org/10.1186/s13244-023-01530-6Pulmonary nodules[18F]fluorodeoxyglucose PET[18F]fluoropyrimidine PETRadiomic analysis |
| spellingShingle | Jing Ning Can Li Peng Yu Jingjing Cui Xiaodan Xu Yan Jia Panli Zuo Jiahe Tian Lukas Kenner Baixuan Xu Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT Insights into Imaging Pulmonary nodules [18F]fluorodeoxyglucose PET [18F]fluoropyrimidine PET Radiomic analysis |
| title | Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT |
| title_full | Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT |
| title_fullStr | Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT |
| title_full_unstemmed | Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT |
| title_short | Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT |
| title_sort | radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules a hybrid imaging study based on 18f fdg and 18f flt pet ct |
| topic | Pulmonary nodules [18F]fluorodeoxyglucose PET [18F]fluoropyrimidine PET Radiomic analysis |
| url | https://doi.org/10.1186/s13244-023-01530-6 |
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