Trial reportBioMed research international2018
Spectral CT Analysis of Solitary Pulmonary Nodules for Differentiating Malignancy from Benignancy: The Value of Iodine Concentration Spatial Distribution Difference.
Trial report in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 21 citations in OpenAlex.
- Spectral CT-based radiomics signature for distinguishing malignant pulmonary nodules from benign.BMC cancer · 2023Trial
- Long-term quantitative stability of a first-generation dual-source photon-counting CT.Conference proceedings. International Conference on Image Formation in X-Ray Computed Tomography · 2024Article
- Dual-Layer Spectral CT as Innovative Imaging Guidance in Lung Biopsies: Could Color-Coded Z-Effective Images Allow More Diagnostic Samplings and Biomarkers Information?Journal of clinical medicine · 2023Article
- The evolution and current situation in the application of dual-energy computed tomography: a bibliometric study.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
- Quantitative assessment of intratumoral 2-[Quantitative imaging in medicine and surgery · 2022Article
- Differentiating pulmonary metastasis from benign lung nodules in thyroid cancer patients using dual-energy CT parameters.European radiology · 2022Article
- Differentiating mass-like tuberculosis from lung cancer based on radiomics and CT features.Translational cancer research · 2021Article
- Material decomposition using iodine quantification on spectral CT for characterising nodules in the cirrhotic liver: a retrospective study.European radiology experimental · 2021Article
- Characterization ofQuantitative imaging in medicine and surgery · 2021Article
- 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
- Preoperative assessment of lung nodules and lobar function by spectral detector computed tomography.Radiology case reports · 2020Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveThe objective is to assess the value of spatial distribution difference in iodine concentration between malignant and benign solitary pulmonary nodules (SPNs) by analyzing multiple parameters of spectral CT.
methodsSixty patients with 39 malignant nodules and 21 benign nodules underwent chest contrast CT scans using spectral imaging mode during pulmonary arterial phase (PP), arterial phase (AP), and venous phase (VP). Iodine concentrations of proximal and distal regions in pulmonary nodules on iodine-based material decomposition images were recorded. Normalized iodine concentration (NIC) and the differences in NIC between the proximal and the distal regions (dNIC) were calculated. The two-sample t-test and Mann-Whitney U-test were performed to compare the multiple parameters generated from spectral CT between malignant and benign nodules. Receiver operating characteristic (ROC) curves were generated to calculate sensitivity and specificity.
resultsNIC in the proximal region (NIC
conclusionsSpectral CT imaging with multiple parameters such as NIC
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