ArticleThoracic cancer2019
Can spectral computed tomography imaging improve the differentiation between malignant and benign pulmonary lesions manifesting as solitary pure ground glass, mixed ground glass, and solid nodules?
Article in Thoracic cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed, 21 citations in OpenAlex.
- Evaluation of a dual-energy computed tomography parameter -radiomics combined model for solitary pulmonary nodules.Frontiers in oncology · 2026Article
- Advantages of integrating artificial intelligence and spectral CT for lung nodule classification and prognostic judgment: a narrative review.Journal of thoracic disease · 2025Review
- The capacity of subtraction CT iodine maps to improve the differentiation of solitary pulmonary nodules.Quantitative imaging in medicine and surgery · 2025Article
- Differentiation of pathological subtypes and Ki-67 and TTF-1 expression by dual-energy CT (DECT) volumetric quantitative analysis in non-small cell lung cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2024Article
- Stress does not induce a general transcription of transposable elements in Drosophila.Molecular biology reports · 2022Review
- Dual Attention Mechanisms and Feature Fusion Networks Based Method for Predicting LncRNA-Disease Associations.Interdisciplinary sciences, computational life sciences · 2022Article
- Differentiating pulmonary metastasis from benign lung nodules in thyroid cancer patients using dual-energy CT parameters.European radiology · 2022Article
- Benign and malignant pulmonary part-solid nodules: differentiation via thin-section computed tomography.Quantitative imaging in medicine and surgery · 2022Article
- A wavelet features derived radiomics nomogram for prediction of malignant and benign early-stage lung nodules.Scientific reports · 2021Article
- Significance of intra-nodular vessel sign in differentiating benign and malignant pulmonary ground-glass nodules.Insights into imaging · 2021Article
- The regulatory function of mixed lineage kinase 3 in tumor and host immunity.Pharmacology & therapeutics · 2021Review
- The application of dual-layer spectral detector computed tomography in solitary pulmonary nodule identification.Quantitative imaging in medicine and surgery · 2021Article
- Comparison of Spectral and Perfusion Computed Tomography Imaging in the Differential Diagnosis of Peripheral Lung Cancer and Focal Organizing Pneumonia.Frontiers in oncology · 2021Article
- Application of Dual-Energy Spectral Computed Tomography to Thoracic Oncology Imaging.Korean journal of radiology · 2020Review
- Is there any correlation between spectral CT imaging parameters and PD-L1 expression of lung adenocarcinoma?Thoracic cancer · 2020Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThis study quantitatively assessed the efficacy of spectral computed tomography (CT) imaging parameters for differentiating the malignancy and benignity of solitary pulmonary nodules (SPNs) manifesting as ground glass nodules (GGNs) and solid nodules (SNs).
methodsThe study included 114 patients with SPNs (61 GGNs, and 53 SNs) who underwent CT plain and enhanced scans in the arterial (a) and venous (v) phases using the spectral imaging mode. The spectral CT imaging parameters included: iodine concentrations (IC) of lesions in the arterial (ICLa) and venous (ICLv) phases; normalized IC (NICa/NICv, normalized to the IC in the aorta); the slope of the spectral Hounsfield unit (HU) curve (λHUa/λHUv); and monochromatic CT number (CT40keVa/v, CT70keVa/v) enhancement on 40 and 70 keV images. The two-sample Mann-Whitney U test was used to compare quantitative parameters between malignant and benign SPNs, SNs, and GGNs.
resultsPathology revealed 75 lung cancer cases, 3 metastatic nodules, 14 benign nodules, and 22 inflammatory nodules. Among the 53 SNs there were 37 malignant and 16 benign nodules. Among the 61 GGNs there were 41 malignant and 20 benign nodules. Overall, the CT40keVa, λHUa, CT40keVv, λHUv, and ICLv of benign SPNs were all greater than those of malignant SPNs (all P < 0.05). For GGNs, CT40keVa/v, CT70keVa/v, λHUa/λHUv, and ICLv of malignant GGNs were all lower than those of benign GGNs.
conclusionSpectral CT imaging is a more promising method for distinguishing malignant from benign nodules, especially in nodules manifesting as GGNs in contrast-enhanced scanning.
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