Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Objective: The aim of the study was to assess accuracy of pulmonary nodule volumetry using noise-optimized virtual monoenergetic image (VMI+) and nonlinear blending image (NBI) algorithms in dual-energy computed tomography (DECT).
Methods: An anthropomorphic chest phantom with 10 simulated nodules (5 solid nodules and 5 ground-glass opacities) was scanned using DECT80/Sn140kV, DECT100/Sn140kV, and single-energy CT (SECT120kV/200mAs), respectively. The dual-energy images were reconstructed using VMI+ (70 keV) and NBI algorithms. The contrast-to-noise ratio and absolute percentage error (APE) of nodule volume were measured to assess image quality and accuracy of nodule volumetry. The radiation dose was also estimated.
Results: The contrast-to-noise ratio of SECT120kV/200mAs was significantly higher than that of NBI80/Sn140kV and VMI+80/Sn140kV (both corrected P < 0.05), whereas there were no significant differences between NBI100/sn140kV and SECT120kV/200mAs and between VMI+100/sn140kV and SECT120kV/200mAs (both corrected P > 0.05). The APE of SECT120kV/200mAs was significantly lower than that of NBI80/Sn140kV and VMI+80/Sn140kV in both types of nodules (all corrected P < 0.05), whereas there were no significant differences between VMI+100/sn140kV and SECT120kV/200mAs in solid nodules and between NBI100/Sn140kV and SECT120kV/200mAs in ground-glass opacities (both corrected P > 0.05). The radiation dose of DECT100/Sn140kV and DECT80/Sn140kV were significantly lower than that of SECT120kV/200mAs (both corrected P < 0.05).
Conclusions: The DECT100/sn140kV can ensure image quality and nodule volumetry accuracy with lower radiation dose compared with SECT120kV/200mAs. Specifically, the VMI+ algorithm could be used in solid nodules and NBI algorithm in ground-glass opacities.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1097/RCT.0000000000001102 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Asia-Pacific modified Delphi consensus conference on large hepatocellular carcinoma.
HPB (Oxford)
July 2025
Section of Hepato-Pancreato-Biliary Surgery, Makati Medical Center, Makati, Philippines; Section of Hepatobiliary Pancreatic Surgery, Surgical Oncology, and Minimally Invasive Surgery, St Luke's Medical Center, Quezon City, Philippines; Liver Center, National Kidney and Transplant Institute, Quezon
Background: Approximately 80 % of primary liver cancer cases happen in Asia-Pacific and become the leading cause of cancer-related mortality. However, there is no consensus on defining and standardizing the optimal management of large HCCs.
Methods: The Asia-Pacific Consensus Conference employed the Modified Delphi method, consisting of three rounds of surveys followed by a discussion panel.
Lung cancer screening with low-dose CT: definition of positive, indeterminate, and negative screen results. A nodule management recommendation from the European Society of Thoracic Imaging.
Eur Radiol
July 2025
Department of Radiology, Cochin Hospital, Université Paris Cité, Paris, France.
Early detection of lung cancer through low-dose CT lung cancer screening in a high-risk population has proven to reduce lung cancer-specific mortality. Nodule management plays a pivotal role in early detection and further diagnostic approaches. The European Society of Thoracic Imaging (ESTI) has established a nodule management recommendation to improve the handling of pulmonary nodules detected during screening.
View Article and Find Full Text PDFAggressiveness-guided nodule management for lung cancer screening in Europe-justification for follow-up intervals and definition of growth.
Eur Radiol
July 2025
Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna General Hospital, Vienna, Austria.
The European Society of Thoracic Imaging (ESTI) nodule management recommendation for lung cancer screening with low-dose CT builds on existing nodule management guidelines but puts a stronger focus on lesion aggressiveness and measurement error. Key objectives included finding a compromise between the overall number of follow-up examinations, avoiding a major stage shift, and reducing the risk for overtreatment. Nodule management categories at baseline are chosen depending on the size of a solid nodule or the solid component of a subsolid or cystic nodule, with suspicious morphology upgrading risk to the next higher category.
View Article and Find Full Text PDFDeep Learning-Based Adrenal Gland Volumetry for the Prediction of Diabetes.
Endocrinol Metab (Seoul)
June 2025
Department of Internal Medicine, Seoul National University College of Medicine, Korea.
Background: The long-term association between adrenal gland volume (AGV) and type 2 diabetes (T2D) remains unclear. We aimed to determine the association between deep learning-based AGV and current glycemic status and incident T2D.
Methods: In this observational study, adults who underwent abdominopelvic computed tomography (CT) for health checkups (2011-2012), but had no adrenal nodules, were included.
Performance of volume and diameter thresholds in malignancy prediction of solid nodules in lung cancer screening.
Thorax
August 2025
Lungs for Living Research Centre, UCL Respiratory, University College London, London, UK
Background: Prospective validation and comparison of the performance of nodule management protocols is limited. The aim of this study was to examine the performance of size and risk thresholds for assessing malignancy in solid nodules at baseline low-dose CT (LDCT) in a lung cancer screening (LCS) programme.
Methods: This was an observational study using data from the SUMMIT Study, a prospective longitudinal study investigating LDCT for LCS.