ArticleBMC medical imaging2021
Differentiating malignant and benign necrotic lung lesions using kVp-switching dual-energy spectral computed tomography.
Article in BMC medical imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Clinical Utility of Dual-Energy CT for Detection, Characterization, and Staging of Lung Tumors: A Rapid Review.Diagnostics (Basel, Switzerland) · 2026Review
- Potential of quantitative X-ray imaging from photon-counting CT: A novel analysis based on effective atomic number and physical density.Journal of applied clinical medical physics · 2026Article
- Application of dual-energy computed tomography combined with radiomics in the clinical diagnosis of lung cancer: a systematic review and meta-analysis.Journal of thoracic disease · 2026Article
- Conversion of single-energy CT to parametric maps of dual-energy CT using convolutional neural network.The British journal of radiology · 2024Article
- Differentiation of Hamartomas and Malignant Lung Tumors in Single-Phased Dual-Energy Computed Tomography.Tomography (Ann Arbor, Mich.) · 2024Article
- Dual-energy CT for the detection of skull base invasion in nasopharyngeal carcinoma: comparison of simulated single-energy CT and MRI.Insights into imaging · 2023Article
- Nondiagnostic, radial-probe endobronchial ultrasound-guided biopsy for peripheral lung lesions: The added value of radiomics from ultrasound imaging for predicting malignancy.Thoracic cancer · 2023Article
- Differential diagnosis of localized pneumonic-type lung adenocarcinoma and pulmonary inflammatory lesion.Insights into imaging · 2022Article
- Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.European journal of nuclear medicine and molecular imaging · 2022Article
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5 authors.
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Abstract
backgroundNecrotic pulmonary lesions manifest as relatively low-density internally on contrast-enhanced computed tomography (CT). However, using CT to differentiate malignant and benign necrotic pulmonary lesions is challenging, as these lesions have similar peripheral enhancement. With the introduction of dual-energy spectral CT (DESCT), more quantitative parameters can be obtained and the ability to differentiate material compositions has been highly promoted. This study investigated the use of kVp-switching DESCT in differentiating malignant from benign necrotic lung lesions.
methodsFrom October 2016 to February 2019, 40 patients with necrotic lung cancer (NLC) and 31 with necrotic pulmonary mass-like inflammatory lesion (NPMIL) were enrolled and underwent DESCT. The clinical characteristics of patients, CT morphological features, and DESCT quantitative parameters of lesions were compared between the two groups. Binary logistic regression analysis was performed to identify the independent prognostic factors differentiating NPMIL from NLC. Receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of single-parameter and multiparametric analyses.
resultsSignificant differences in age, C-reactive protein concentration, the slope of the spectral curve from 40 to 65 keV (K
conclusionsDESCT can differentiate malignant from benign necrotic lung lesions with a relatively high accuracy.
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