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作者

Jiazhong Ren Yong Huang Linfeng Li Yuqin Jin & …Yong Yin

作者单位

³Department of Radiation Oncology Physics and Technology, Shandong Cancer Hospital and Institute, Shandong First Medical University, Shandong Academy of Medical Sciences, No. 440 Jiyan Road, Huaiyin District, Jinan, Shandong Province, China ²Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., CT Collaboration, Siemens Healthineers Digital Technology (Shanghai) Co., Ltd., Shanghai, China ¹Department of Medical Imaging, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, No. 440 Jiyan Road, Huaiyin District, Jinan, Shandong Province, China

刊名

Cancer Imaging

关键词

Photon-counting computed tomography Spectral parameters EGFR Lung adenocarcinoma

摘要

Objective To investigate the non-invasive predictive value of quantitative spectral parameters from photon-counting computed tomography for epidermal growth factor receptor mutation status and its predominant subtypes in patients with lung adenocarcinoma. Methods A total of 72 patients with pathologically confirmed lung adenocarcinoma who underwent pretreatment PCCT were retrospectively enrolled. Arterial and venous CT attenuation values at 40 keV, 70 keV, and 100 keV were measured on vir...更多

Objective To investigate the non-invasive predictive value of quantitative spectral parameters from photon-counting computed tomography for epidermal growth factor receptor mutation status and its predominant subtypes in patients with lung adenocarcinoma. Methods A total of 72 patients with pathologically confirmed lung adenocarcinoma who underwent pretreatment PCCT were retrospectively enrolled. Arterial and venous CT attenuation values at 40 keV, 70 keV, and 100 keV were measured on virtual monoenergetic images, while arterial/venous iodine concentration and dual-energy index of lesions were measured on iodine maps and spectral post-processing images, respectively. Normalized iodine concentration and spectral curve slope were further calculated. Receiver operating characteristic curve analysis and binary logistic regression were performed to evaluate the predictive performance and independent predictive value of PCCT parameters for discriminating EGFR-mutant vs. wild-type tumors, as well as 19Del vs. L858R subtypes. Results Of 72 patients, 37 harbored EGFR mutations, which correlated with female sex, never-smoking, reduced NSE, and lower monocyte count. The EGFR-mutant group showed significantly higher A-70 keV, A-100 keV, A-DEI, V-40 keV, V-70 keV, V-100 keV, V-λHU and V-DEI . Logistic regression identified female sex and A-100 keV as independent predictors. ROC analysis with bootstrap validation yielded: clinical model AUC 0.767 ; PCCT model AUC 0.713 ; combined model AUC 0.771 . Between 19Del and L858R subgroups, A-40 keV and A-DEI showed significant discriminative performance in ROC analysis, with AUCs of 0.694 and 0.704 . Conclusions Quantitative PCCT spectral parameters enable non-invasive prediction of EGFR mutation status and preliminary differentiation between 19Del and L858R subtypes in lung adenocarcinoma, though subtype-related findings require validation in larger cohorts. Female sex and A-100 keV are independent predictive factors. The combined model yielded a numerically higher AUC without statistically significant superiority, and PCCT parameters may provide auxiliary imaging evidence to inform individualized targeted therapy decisions in lung adenocarcinoma.收起

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