ArticleQuantitative imaging in medicine and surgery2018
Lung nodules assessment in ultra-low-dose CT with iterative reconstruction compared to conventional dose CT.
Article in Quantitative imaging in medicine and surgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 36 citations in OpenAlex.
- Deep learning-based super-resolution ultrashort echo time MRI for pulmonary nodule detection and longitudinal assessment in emphysema.BMC pulmonary medicine · 2026Article
- Feasibility of 100 kV Low-voltage Bone Mineral Density Measurement with Quantitative CT: Phantom and Clinical Research.Calcified tissue international · 2025Article
- Ultra-low-dose chest computed tomography with model-based iterative reconstruction in the analysis of solid pulmonary nodules: A prospective study.World journal of radiology · 2024Article
- Conventional versus cone-beam computed tomography in lung biopsy: diagnostic performance, risks, and the advantages of tract embolization with gelfoam particle suspension.Quantitative imaging in medicine and surgery · 2024Article
- Automatic Osteoporosis Screening System Using Radiomics and Deep Learning from Low-Dose Chest CT Images.Bioengineering (Basel, Switzerland) · 2024Article
- Factors influencing the outcome of volumetry tools for pulmonary nodule analysis: a systematic review and attempted meta-analysis.Insights into imaging · 2023Review
- The solid component within part-solid nodules: 3-dimensional quantification, correlation with the malignant grade of nonmucinous pulmonary adenocarcinomas, and comparisons with 2-dimentional measures and semantic features in low-dose computed tomography.Cancer imaging : the official publication of the International Cancer Imaging Society · 2023Article
- Whole-Body Magnetic Resonance Imaging (MRI) for Staging Melanoma Patients in Direct Comparison to Computed Tomography (CT): Results from a Prospective Positron Emission Tomography (PET)/CT and PET/MRI Study.Diagnostics (Basel, Switzerland) · 2023Article
- Evaluation of Ultra-Low-Dose Chest Computed Tomography Images in Detecting Lung Lesions Related to COVID-19: A Prospective Study.Iranian journal of medical sciences · 2022Article
- Development and validation of qualitative and quantitative models to predict invasiveness of lung adenocarcinomas manifesting as pure ground-glass nodules based on low-dose computed tomography during lung cancer screening.Quantitative imaging in medicine and surgery · 2022Article
- Design Computer-Aided Diagnosis System Based on Chest CT Evaluation of Pulmonary Nodules.Computational and mathematical methods in medicine · 2022Article
- Clinical Evaluation of an Abbreviated Contrast-Enhanced Whole-Body MRI for Oncologic Follow-Up Imaging.Diagnostics (Basel, Switzerland) · 2021Article
- Detecting small pulmonary nodules with spiral ultrashort echo time sequences in 1.5 T MRI.Magma (New York, N.Y.) · 2021Article
- Effect of adaptive statistical iterative reconstruction-V (ASiR-V) levels on ultra-low-dose CT radiomics quantification in pulmonary nodules.Quantitative imaging in medicine and surgery · 2021Article
- Dosimetry and Comparison between Different CT Protocols (Low Dose, Ultralow Dose, and Conventional CT) for Lung Nodules' Detection in a Phantom.Radiology research and practice · 2021Article
- Optical techniques, computed tomography and deep learning role in the diagnosis of COVID-19 pandemic towards increasing the survival rate of vulnerable populations.Photodiagnosis and photodynamic therapy · 2020Review
- Chest CT based Viral Pneumonia Imaging Reporting and Data System (VP-RADS): experiences of COVID-19 in Ningbo, China.Quantitative imaging in medicine and surgery · 2020Article
- Chest lesion CT radiological features and quantitative analysis in RT-PCR turned negative and clinical symptoms resolved COVID-19 patients.Quantitative imaging in medicine and surgery · 2020Article
- Preoperative Prediction for Early Recurrence Can Be as Accurate as Postoperative Assessment in Single Hepatocellular Carcinoma Patients.Korean journal of radiology · 2020Article
- The role of CT for Covid-19 patient's management remains poorly defined.Annals of translational medicine · 2020Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo retrospectively assess whether the low-voltage lung CT scan coupled with iterative reconstruction algorithms can be an optimal scanning method for measuring the size and density of lung nodules in cancer patients.
methodsEighty two cancer patients receiving both chest scan with low-voltage (80 kV) and abdomen CT scan with standard voltage (120 kV) were enrolled in this study. Lung nodules were measured manually and semi-automatically by two different computer-aided diagnosis (CAD) systems. The nodules were then divided into large-, medium- and small-size groups based on their largest diameter. Additionally, the nodules were categorized into three different groups according to their density: calcified, solid and partial-solid nodules. The 3D volumes, average diameter and CT value of lung nodules were measured using the two CAD semi-automated systems, and the CT values were compared with regards to the different tube voltages. Furthermore, the accuracy and reliability of CAD systems were validated in the large nodules.
resultsThe scores of subjective evaluation indicated that the quality of lung nodule images yielded optimal clinical diagnostic value for both 80 kV (2.35±0.054) and 120 kV (2.51±0.053) scanning methods, with a strong inter-observer consistency (Kappa =0.848 and 0.829, respectively). Intraclass correlation coefficient (ICC) and Bland-Altman plot revealed that two CAD systems produced the consistent results. Mean CT values of large nodules (n=18) were significantly different between 80 and 120 kV (-28.11±47.39
conclusionsOur study suggests that detection of lung nodules with ultra-low-dose CT can yield an excellent image quality and optimal diagnostic values as compared to the standard dose CT. Therefore, CT scan with low voltage of 80 kV CT scan can be leveraged to improve the diagnosis and surveillance of lung nodules measured less than 30 mm in diameter. Further investigation with a larger sample size is warranted to confirm our findings, particularly the increased CT values of large nodules and the greater volume of solid nodules after exposure to low-dose CT scan.
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