ArticleBMC medical imaging2015
A pilot study using low-dose Spectral CT and ASIR (Adaptive Statistical Iterative Reconstruction) algorithm to diagnose solitary pulmonary nodules.
Article in BMC medical imaging, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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11 citing papers in PubMed, 28 citations in OpenAlex.
- Spectral CT Analysis of Solitary Pulmonary Nodules for Differentiating Malignancy from Benignancy: The Value of Iodine Concentration Spatial Distribution Difference.BioMed research international · 2018Trial
- Cross-sectional investigation of the effects of atmospheric particulate pollutants on pulmonary nodules in Shijiazhuang, China.Scientific reports · 2025Article
- Virtual monoenergetic imaging predicting Ki-67 expression in lung cancer.Scientific reports · 2023Article
- The application of dual-layer spectral detector computed tomography in solitary pulmonary nodule identification.Quantitative imaging in medicine and surgery · 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
- 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?Thoracic cancer · 2019Article
- Low-dose spectral CT reconstruction using image gradientApplied mathematical modelling · 2018Article
- Article
- Assessment of quantification accuracy and image quality of a full-body dual-layer spectral CT system.Journal of applied clinical medical physics · 2018Article
- The Effects of Iodine Attenuation on Pulmonary Nodule Volumetry using Novel Dual-Layer Computed Tomography Reconstructions.European radiology · 2017Article
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8 authors at 2 institutions in 1 country.
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Abstract
backgroundLung cancer is the most common cancer which has the highest mortality rate. With the development of computed tomography (CT) techniques, the case detection rates of solitary pulmonary nodules (SPN) has constantly increased and the diagnosis accuracy of SPN has remained a hot topic in clinical and imaging diagnosis. The aim of this study was to evaluate the combination of low-dose spectral CT and ASIR (Adaptive Statistical Iterative Reconstruction) algorithm in the diagnosis of solitary pulmonary nodules (SPN).
methods62 patients with SPN (42 cases of benign SPN and 20 cases of malignant SPN, pathology confirmed) were scanned by spectral CT with a dual-phase contrast-enhanced method. The iodine and water concentration (IC and WC) of the lesion and the artery in the image that had the same density were measured by the GSI (Gemstone Spectral Imaging) software. The normalized iodine and water concentration (NIC and NWC) of the lesion and the normalized iodine and water concentration difference (ICD and WCD) between the arterial and venous phases (AP and VP) were also calculated. The spectral HU (Hounsfield Unit ) curve was divided into 3 sections based on the energy (40-70, 70-100 and 100-140 keV) and the slopes (λHU) in both phases were calculated. The ICAP, ICVP, WCAP and WCVP, NIC and NWC, and the λHU in benign and malignant SPN were compared by independent sample t-test.
resultsThe iodine related parameters (ICAP, ICVP, NICAP, NICVP, and the ICD) of malignant SPN were significantly higher than that of benign SPN (t = 3.310, 1.330, 2.388, 1.669 and 3.251, respectively, P <0.05). The 3 λHU values of venous phase in malignant SPN were higher than that of benign SPN (t = 3.803, 2.846 and 3.205, P <0.05). The difference of water related parameters (WCAP, WCVP, NWCAP, NWCVP and WCD) between malignant and benign SPN were not significant (t = 0.666, 0.257, 0.104, 0.550 and 0.585, P > 0.05).
conclusionsThe iodine related parameters and the slope of spectral curve are useful markers to distinguish the benign from the malignant lung diseases, and its application is extremely feasible in clinical applications.
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