AUTHOR=Xie Xiaodong , Liu Kaifang , Luo Kai , Xu Youtao , Zhang Lei , Wang Meiqin , Shen Wenrong , Zhou Zhengyang 

TITLE=Value of dual-layer spectral detector computed tomography in the diagnosis of benign/malignant solid solitary pulmonary nodules and establishment of a prediction model

JOURNAL=Frontiers in Oncology

VOLUME=Volume 13 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/oncology/articles/10.3389/fonc.2023.1147479

DOI=10.3389/fonc.2023.1147479

ISSN=2234-943X

ABSTRACT=Objective: This study aimed to investigate the role of spectral detector computed tomography (SDCT) quantitative parameters combined with lesion morphological information in the differential diagnosis of solid SPNs. Methods: This retrospective study included basic clinical data and SDCT images of 132 patients with pathologically confirmed SPNs (102 malignant and 30  benign patients). The morphological signs of SPNs were evaluated and the region of interest (ROI) was delineated from the lesion to extract and calculate the relevant SDCT quantitative parameters. Differences in qualitative and quantitative parameters between the groups were statistically analysed. A receiver operating characteristic (ROC) curve was constructed to evaluate the efficacy of the corresponding parameters in the diagnosis of benign and malignant SPNs. Statistically significant clinical data, CT signs and SDCT quantitative parameters were analysed using multivariate logistic regression to determine the independent risk factors for predicting benign and malignant SPNs, and the best multi-parameter regression model was established. Results: Malignant SPNs differed from benign SPNs in terms of size, lesion morphology, short spicule sign, and vascular enrichment sign (P < 0.05). The SDCT quantitative parameters of malignant SPNs (SAR40keV, SAR70keV, Δ40keV, Δ70keV, CER40keV, CER70keV, NEF40keV, NEF70keV, λ, NIC, NZeff) were significantly higher than those of benign SPNs (P < 0.05). In the subgroup analysis, most parameters could distinguish between benign and adenocarcinoma groups (SAR40keV, SAR70keV, Δ40keV, Δ70keV, CER40keV, CER70keV, NEF40keV, NEF70keV, λ, NIC, and NZeff), and between benign and squamous cell carcinoma groups (SAR40keV, SAR70keV, Δ40keV, Δ70keV, NEF40keV, NEF70keV, λ, and NIC). However, there were no significant differences between the parameters in the adenocarcinoma and squamous cell carcinoma groups. ROC curve analysis indicated that NIC, NEF70keV, and NEF40keV had higher diagnostic efficacy for differentiating benign and malignant SPNs, and NIC[AUC:0.869] was the highest. Multivariate logistic regression analysis showed that size, Δ70keV and NIC were independent risk factors for the prediction of benign and malignant SPNs. ROC curve analysis showed that the combination model of the three (size, Δ70keV, NIC) for differential diagnosis of benign and malignant SPNs was the largest. Conclusion: SDCT quantitative parameters can be helpful in the differential diagnosis of benign and malignant solid SPNs.