Metabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancer
Abstract Background To differentiate inoperable non-small cell lung cancer (NSCLC) subtypes by mono-exponential (MEM), bi-exponential (BEM), and stretched- exponential models (SEM) intravoxel incoherent motion (IVIM), and 18F-FDG PET parameters. Materials and methods A total of 106 cases of NSCLC we...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2025-02-01
|
| Series: | BMC Cancer |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s12885-025-13543-z |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849723746115387392 |
|---|---|
| author | Zhun Huang Huihui Wang Fang Ting Yang Chen Hengquan Fan Xiaochen Li Fangfang Fu Jianmin Yuan Yang Yang Zhe Wang Meiyun Wang |
| author_facet | Zhun Huang Huihui Wang Fang Ting Yang Chen Hengquan Fan Xiaochen Li Fangfang Fu Jianmin Yuan Yang Yang Zhe Wang Meiyun Wang |
| author_sort | Zhun Huang |
| collection | DOAJ |
| description | Abstract Background To differentiate inoperable non-small cell lung cancer (NSCLC) subtypes by mono-exponential (MEM), bi-exponential (BEM), and stretched- exponential models (SEM) intravoxel incoherent motion (IVIM), and 18F-FDG PET parameters. Materials and methods A total of 106 cases of NSCLC were included in this analysis, of which 68 cases were adenocarcinoma (AC) and 38 cases were squamous cell carcinoma (SCC). MEM derived parameter ADC; BEM derived parameters D, D*, and f, SEM derived parameters α, DDC; and 18F-FDG PET derived parameters MTV, SUVmax, and TLG were recorded and compared. Area under the receiver operating characteristic curve (AUC) was performed for diagnostic efficacy. Results SUVmax, MTV and TLG were lower and ADC, f, D and DDC were higher in AC than in SCC (p all < 0.001), whereas D* and α were not significantly different (p = 0.824, 0.152). Logistic regression analysis showed that the stage, ADC, and TLG were independent predictors for identification of SCC and AC, and when combined they showed best diagnostic result (AUC, 0.906; sensitivity, 79.41%; specificity, 94.74%), which was higher than any single clinical factor (maximum diameter, sex smoking, stage, and CT readout; AUC = 0.725, 0.686, 0.707, 0.721, and 0.666, respectively), IVIM (ADC, f, and D; AUC = 0.772, 0.686, and 0.696, respectively) or 18F-FDG PET-derived variable (SUVmax, MTV, and TLG; AUC = 0.693, 0.712, and 0.774, respectively). Conclusion The stage, ADC, and TLG were independent predictors for differentiating subtypes of inoperable NSCLC, and when combined they showed optimal diagnostic performance and could be a superior imaging marker. |
| format | Article |
| id | doaj-art-a8c07cb22cc3482c90a7bd592233db76 |
| institution | DOAJ |
| issn | 1471-2407 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Cancer |
| spelling | doaj-art-a8c07cb22cc3482c90a7bd592233db762025-08-20T03:10:57ZengBMCBMC Cancer1471-24072025-02-012511910.1186/s12885-025-13543-zMetabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancerZhun Huang0Huihui Wang1Fang Ting2Yang Chen3Hengquan Fan4Xiaochen Li5Fangfang Fu6Jianmin Yuan7Yang Yang8Zhe Wang9Meiyun Wang10Department of Radiology, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalDepartment of Anaesthesia and Perioperative Medicine, Xinxiang Central HospitalDepartment of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan UniversityDepartment of Radiology, the People’s Hospital of Zhengyang CountyDepartment of Radiology, Bethune International Peace HospitalDepartment of Radiology, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalDepartment of Radiology, 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 Radiology, Henan Provincial People’s Hospital & Zhengzhou University People’s HospitalAbstract Background To differentiate inoperable non-small cell lung cancer (NSCLC) subtypes by mono-exponential (MEM), bi-exponential (BEM), and stretched- exponential models (SEM) intravoxel incoherent motion (IVIM), and 18F-FDG PET parameters. Materials and methods A total of 106 cases of NSCLC were included in this analysis, of which 68 cases were adenocarcinoma (AC) and 38 cases were squamous cell carcinoma (SCC). MEM derived parameter ADC; BEM derived parameters D, D*, and f, SEM derived parameters α, DDC; and 18F-FDG PET derived parameters MTV, SUVmax, and TLG were recorded and compared. Area under the receiver operating characteristic curve (AUC) was performed for diagnostic efficacy. Results SUVmax, MTV and TLG were lower and ADC, f, D and DDC were higher in AC than in SCC (p all < 0.001), whereas D* and α were not significantly different (p = 0.824, 0.152). Logistic regression analysis showed that the stage, ADC, and TLG were independent predictors for identification of SCC and AC, and when combined they showed best diagnostic result (AUC, 0.906; sensitivity, 79.41%; specificity, 94.74%), which was higher than any single clinical factor (maximum diameter, sex smoking, stage, and CT readout; AUC = 0.725, 0.686, 0.707, 0.721, and 0.666, respectively), IVIM (ADC, f, and D; AUC = 0.772, 0.686, and 0.696, respectively) or 18F-FDG PET-derived variable (SUVmax, MTV, and TLG; AUC = 0.693, 0.712, and 0.774, respectively). Conclusion The stage, ADC, and TLG were independent predictors for differentiating subtypes of inoperable NSCLC, and when combined they showed optimal diagnostic performance and could be a superior imaging marker.https://doi.org/10.1186/s12885-025-13543-zCarcinomaNon-small-cell lungDiffusion magnetic resonance imagingFluorodeoxyglucose F18Positron-emission tomography |
| spellingShingle | Zhun Huang Huihui Wang Fang Ting Yang Chen Hengquan Fan Xiaochen Li Fangfang Fu Jianmin Yuan Yang Yang Zhe Wang Meiyun Wang Metabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancer BMC Cancer Carcinoma Non-small-cell lung Diffusion magnetic resonance imaging Fluorodeoxyglucose F18 Positron-emission tomography |
| title | Metabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancer |
| title_full | Metabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancer |
| title_fullStr | Metabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancer |
| title_full_unstemmed | Metabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancer |
| title_short | Metabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancer |
| title_sort | metabolic and multi model intravoxel incoherent motion parameters based 18f fdg pet mri for predicting subtypes of inoperable non small cell lung cancer |
| topic | Carcinoma Non-small-cell lung Diffusion magnetic resonance imaging Fluorodeoxyglucose F18 Positron-emission tomography |
| url | https://doi.org/10.1186/s12885-025-13543-z |
| work_keys_str_mv | AT zhunhuang metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT huihuiwang metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT fangting metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT yangchen metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT hengquanfan metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT xiaochenli metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT fangfangfu metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT jianminyuan metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT yangyang metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT zhewang metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer AT meiyunwang metabolicandmultimodelintravoxelincoherentmotionparametersbased18ffdgpetmriforpredictingsubtypesofinoperablenonsmallcelllungcancer |