Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions
Abstract Objectives To differentiate benign and malignant solitary pulmonary lesions (SPLs) by amide proton transfer-weighted imaging (APTWI), mono-exponential model DWI (MEM-DWI), stretched exponential model DWI (SEM-DWI), and 18F-FDG PET-derived parameters. Methods A total of 120 SPLs patients und...
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| Format: | Article |
| Language: | English |
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BMC
2024-03-01
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| Series: | Cancer Imaging |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40644-024-00677-9 |
| _version_ | 1797273388391071744 |
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| author | Nan Meng Chen Song Jing Sun Xue Liu Lei Shen Yihang Zhou Bo Dai Xuan Yu Yaping Wu Jianmin Yuan Yang Yang Zhe Wang Meiyun Wang |
| author_facet | Nan Meng Chen Song Jing Sun Xue Liu Lei Shen Yihang Zhou Bo Dai Xuan Yu Yaping Wu Jianmin Yuan Yang Yang Zhe Wang Meiyun Wang |
| author_sort | Nan Meng |
| collection | DOAJ |
| description | Abstract Objectives To differentiate benign and malignant solitary pulmonary lesions (SPLs) by amide proton transfer-weighted imaging (APTWI), mono-exponential model DWI (MEM-DWI), stretched exponential model DWI (SEM-DWI), and 18F-FDG PET-derived parameters. Methods A total of 120 SPLs patients underwent chest 18F-FDG PET/MRI were enrolled, including 84 in the training set (28 benign and 56 malignant) and 36 in the test set (13 benign and 23 malignant). MTRasym(3.5 ppm), ADC, DDC, α, SUVmax, MTV, and TLG were compared. The area under receiver-operator characteristic curve (AUC) was used to assess diagnostic efficacy. The Logistic regression analysis was used to identify independent predictors and establish prediction model. Results SUVmax, MTV, TLG, α, and MTRasym(3.5 ppm) values were significantly lower and ADC, DDC values were significantly higher in benign SPLs than malignant SPLs (all P < 0.01). SUVmax, ADC, and MTRasym(3.5 ppm) were independent predictors. Within the training set, the prediction model based on these independent predictors demonstrated optimal diagnostic efficacy (AUC, 0.976; sensitivity, 94.64%; specificity, 92.86%), surpassing any single parameter with statistical significance. Similarly, within the test set, the prediction model exhibited optimal diagnostic efficacy. The calibration curves and DCA revealed that the prediction model not only had good consistency but was also able to provide a significant benefit to the related patients, both in the training and test sets. Conclusion The SUVmax, ADC, and MTRasym(3.5 ppm) were independent predictors for differentiation of benign and malignant SPLs, and the prediction model based on them had an optimal diagnostic efficacy. |
| first_indexed | 2024-03-07T14:43:39Z |
| format | Article |
| id | doaj.art-6b979372126641a5ac3a8cb07b8d7a4d |
| institution | Directory Open Access Journal |
| issn | 1470-7330 |
| language | English |
| last_indexed | 2024-03-07T14:43:39Z |
| publishDate | 2024-03-01 |
| publisher | BMC |
| record_format | Article |
| series | Cancer Imaging |
| spelling | doaj.art-6b979372126641a5ac3a8cb07b8d7a4d2024-03-05T20:08:17ZengBMCCancer Imaging1470-73302024-03-0124111310.1186/s40644-024-00677-9Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesionsNan Meng0Chen Song1Jing Sun2Xue Liu3Lei Shen4Yihang Zhou5Bo Dai6Xuan Yu7Yaping Wu8Jianmin Yuan9Yang Yang10Zhe Wang11Meiyun Wang12Department of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalHematology Laboratory, the First Affiliated Hospital of Xinxiang Medical UniversityDepartment of Pediatrics, Zhengzhou Central Hospital Affiliated to Zhengzhou University & Zhengzhou Central HospitalDepartment of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalDepartment of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalDepartment of Medical Imaging, Xinxiang Medical University People’s Hospital & Henan Provincial People’s HospitalDepartment of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalDepartment of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalDepartment of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalCentral Research Institute, United Imaging Healthcare GroupBeijing United Imaging Research Institute of Intelligent Imaging, United Imaging Healthcare GroupCentral Research Institute, United Imaging Healthcare GroupDepartment of Medical Imaging, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalAbstract Objectives To differentiate benign and malignant solitary pulmonary lesions (SPLs) by amide proton transfer-weighted imaging (APTWI), mono-exponential model DWI (MEM-DWI), stretched exponential model DWI (SEM-DWI), and 18F-FDG PET-derived parameters. Methods A total of 120 SPLs patients underwent chest 18F-FDG PET/MRI were enrolled, including 84 in the training set (28 benign and 56 malignant) and 36 in the test set (13 benign and 23 malignant). MTRasym(3.5 ppm), ADC, DDC, α, SUVmax, MTV, and TLG were compared. The area under receiver-operator characteristic curve (AUC) was used to assess diagnostic efficacy. The Logistic regression analysis was used to identify independent predictors and establish prediction model. Results SUVmax, MTV, TLG, α, and MTRasym(3.5 ppm) values were significantly lower and ADC, DDC values were significantly higher in benign SPLs than malignant SPLs (all P < 0.01). SUVmax, ADC, and MTRasym(3.5 ppm) were independent predictors. Within the training set, the prediction model based on these independent predictors demonstrated optimal diagnostic efficacy (AUC, 0.976; sensitivity, 94.64%; specificity, 92.86%), surpassing any single parameter with statistical significance. Similarly, within the test set, the prediction model exhibited optimal diagnostic efficacy. The calibration curves and DCA revealed that the prediction model not only had good consistency but was also able to provide a significant benefit to the related patients, both in the training and test sets. Conclusion The SUVmax, ADC, and MTRasym(3.5 ppm) were independent predictors for differentiation of benign and malignant SPLs, and the prediction model based on them had an optimal diagnostic efficacy.https://doi.org/10.1186/s40644-024-00677-9Lung diseasesDiffusion magnetic resonance imagingPositron-emission tomographyFluorodeoxyglucose F18 |
| spellingShingle | Nan Meng Chen Song Jing Sun Xue Liu Lei Shen Yihang Zhou Bo Dai Xuan Yu Yaping Wu Jianmin Yuan Yang Yang Zhe Wang Meiyun Wang Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions Cancer Imaging Lung diseases Diffusion magnetic resonance imaging Positron-emission tomography Fluorodeoxyglucose F18 |
| title | Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions |
| title_full | Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions |
| title_fullStr | Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions |
| title_full_unstemmed | Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions |
| title_short | Amide proton transfer-weighted imaging and stretch-exponential model DWI based 18F-FDG PET/MRI for differentiation of benign and malignant solitary pulmonary lesions |
| title_sort | amide proton transfer weighted imaging and stretch exponential model dwi based 18f fdg pet mri for differentiation of benign and malignant solitary pulmonary lesions |
| topic | Lung diseases Diffusion magnetic resonance imaging Positron-emission tomography Fluorodeoxyglucose F18 |
| url | https://doi.org/10.1186/s40644-024-00677-9 |
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