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Metabolic and multi-model intravoxel incoherent motion parameters based 18F-FDG PET/MRI for predicting subtypes of inoperable non-small cell lung cancer

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机构: [1]Department of Radiology, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, 7 Weiwu Road, Zhengzhou 450000, Henan, PR China [2]Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Science, Zhengzhou, Henan, China [3]Department of Anaesthesia and Perioperative Medicine, Xinxiang Central Hospital, Xinxiang, Henan, China [4]Department of Radiology, West China School of Public Health and West China Fourth Hospital, Sichuan University, Chengdu, China [5]Department of Radiology, the People’s Hospital of Zhengyang County, Zhengyang, China [6]Department of Radiology, Bethune International Peace Hospital, Shijiazhuang, Hebei, China [7]Central Research Institute, United Imaging Healthcare Group, Shanghai, China [8]Beijing United Imaging Research Institute of Intelligent Imaging, United Imaging Healthcare Group, Beijing, China
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关键词: Carcinoma Non-small-cell lung Diffusion magnetic resonance imaging Fluorodeoxyglucose F18 Positron-emission tomography

摘要:
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.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.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).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.© 2025. The Author(s).

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大类 | 2 区 医学
小类 | 3 区 肿瘤学
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第一作者机构: [1]Department of Radiology, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, 7 Weiwu Road, Zhengzhou 450000, Henan, PR China [2]Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Science, Zhengzhou, Henan, China
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通讯作者:
通讯机构: [1]Department of Radiology, Henan Provincial People’s Hospital & Zhengzhou University People’s Hospital, 7 Weiwu Road, Zhengzhou 450000, Henan, PR China [2]Laboratory of Brain Science and Brain-Like Intelligence Technology, Biomedical Research Institute, Henan Academy of Science, Zhengzhou, Henan, China
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