ArticleQuantitative imaging in medicine and surgery2021
The application of dual-layer spectral detector computed tomography in solitary pulmonary nodule identification.
Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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22 citing papers in PubMed, 31 citations in OpenAlex.
- Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign.BMC cancer · 2023Trial
- Diagnostic performance of spectral CT quantitative parameters in predicting spread through air spaces of lung adenocarcinoma.Quantitative imaging in medicine and surgery · 2026Article
- Evaluation of a dual-energy computed tomography parameter -radiomics combined model for solitary pulmonary nodules.Frontiers in oncology · 2026Article
- The added value of quantitative contrast-enhanced CT parameters in distinguishing malignant from benign solid pulmonary nodules.BMC medical imaging · 2025Article
- Spectral computed tomography iodine concentration spatial distribution and multi-parameter quantitative analysis in the differential diagnosis of central small cell lung cancer from squamous cell carcinoma.Translational cancer research · 2025Article
- Radiomics based on dual-layer spectral detector CT for predicting EGFR mutation status in non-small cell lung cancer.Journal of applied clinical medical physics · 2025Article
- Preliminary Study on the Evaluation Value of Extracellular Volume Fraction in the Pathological Grading of Lung Invasive AdenocarcinomaCurrent medical imaging · 2025Article
- Does dual-layer spectral detector CT provide added value in predicting spread through air spaces in lung adenocarcinoma? A preliminary study.European radiology · 2024Article
- Predicting epidermal growth factor receptor mutations in non-small cell lung cancer through dual-layer spectral CT: a prospective study.Insights into imaging · 2024Article
- Dual-layer detector spectral CT-based machine learning models in the differential diagnosis of solitary pulmonary nodules.Scientific reports · 2024Article
- The differential computed tomography features between small benign and malignant solid solitary pulmonary nodules with different sizes.Quantitative imaging in medicine and surgery · 2024Article
- Quantitative parameters of dual-layer spectral detector computed tomography for evaluating Ki-67 and human epidermal growth factor receptor 2 expression in colorectal adenocarcinoma.Quantitative imaging in medicine and surgery · 2024Article
- Extracellular volume fraction as a potential predictor to differentiate lung cancer from benign lung lesions with dual-layer detector spectral CT.Quantitative imaging in medicine and surgery · 2023Article
- Can spectral computed tomography (CT) replace perfusion CT to assess the histological classification of non-small cell lung cancer?Quantitative imaging in medicine and surgery · 2023Article
- Quantitative energy spectrum CT in differential diagnosis of aldosterone-producing adenoma and cortisol-producing adenoma.Quantitative imaging in medicine and surgery · 2023Article
- Value of spectral computed tomography-derived quantitative parameters based on full volume analysis in the diagnosis of benign/malignant and pathological subtypes of solitary pulmonary nodules.Quantitative imaging in medicine and surgery · 2023Article
- Multimodality CT imaging contributes to improving the diagnostic accuracy of solitary pulmonary nodules: a multi-institutional and prospective study.Radiology and oncology · 2023Article
- Image-spectral decomposition extended-learning assisted by sparsity for multi-energy computed tomography reconstruction.Quantitative imaging in medicine and surgery · 2023Article
- Low-dose spectral reconstruction with global, local, and nonlocal priors based on subspace decomposition.Quantitative imaging in medicine and surgery · 2023Article
- Value of dual-layer spectral detector computed tomography in the diagnosis of benign/malignant solid solitary pulmonary nodules and establishment of a prediction model.Frontiers in oncology · 2023Article
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6 authors at 3 institutions in 1 country.
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Abstract
backgroundDifferentiating between malignant solitary pulmonary nodules (SPNs) and other lung diseases remains a substantial challenge. The latest generation of dual-energy computed tomography (CT), which realizes dual-energy technology at the detector level, has clinical potential for distinguishing lung cancer from other benign SPNs. This study aimed to evaluate the performance of dual-layer spectral detector CT (SDCT) for the differentiation of SPNs.
methodsSpectral images of 135 SPNs confirmed by pathology were retrospectively analyzed in both the arterial phase (AP) and the venous phase (VP). Patients were classified into two groups [the malignant group (n=93) and the benign group (n=42)], with the malignant group further divided into small cell lung cancer (SCLC, n=30) and non-small cell lung cancer (NSCLC, n=63) subtypes. The slope of the spectral Hounsfield Unit (HU) curve (λ
resultsExcept for NAEF (P=0.23), the values of the parameters were higher in the malignant group than in the benign group (all P<0.05). NIC, λ
conclusionsQuantitative measures from SDCT can help to differentiate benign from malignant SPNs and may help with the further subclassification of malignant cancer into SCLC and NSCLC.
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