Oncology CT
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April 11th 2024
The inclusion of simulated adjudication for resolving discordant nodule classifications in a deep learning model for assessing lung adenocarcinoma on chest CT resulted in a 12 percent increase in sensitivity rate.
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Can Deep Learning Bolster Image Quality with Low-Dose Lung CT?
March 4th 2024In comparison to standard-dose lung CT, the combination of deep learning image reconstruction with ultra-low-dose CT offered similar detection and characterization of pulmonary nodules at a nearly 93 percent reduction of radiation dosing, according to new research.
What Emerging CT Research Reveals About Pure Ground Glass Nodules
February 7th 2024In a computed tomography (CT) study assessing over 450 patients who had lung adenocarcinoma resection, researchers noted zero recurrence at five years and 97.7 percent recurrence-free survival at seven years for patients with resected pure ground glass nodules.
Study: Deep Learning Reconstruction Reduces Effective Dosing for CT Colonography by 83 Percent
January 31st 2024Researchers found the use of deep learning reconstruction for computed tomography colonography (CTC) led to 25 percent higher subjective image quality scoring than iterative image reconstruction at a substantially reduced rate of radiation dosing.
FDA Clears Updated AI Software for Lung CT
January 22nd 2024Reportedly offering improved delineation of pulmonary structures and greater accuracy with computed tomography (CT) values of pulmonary tissue, the artificial intelligence (AI)-powered LungQ 3.0.0. may facilitate enhanced precision and efficiency with interventional procedures such as lung volume reduction and ablation procedures.
Current Insights on Differentiating Pulmonary Subsolid Nodules with Non-Contrast CT
January 12th 2024Patients with benign pulmonary absorbable subsolid nodules (AB-SSNs) have a greater frequency of nodules in comparison to those with non-absorbable benign subsolid nodules (NB-SSNs) and patients with malignant subsolid nodules (M-SSNs), according to a recent study of follow-up non-contrast CT exams in over 400 patients.
FDA Grants De Novo Clearance for Ultrasound-Based Liver Tumor Ablation Software
January 8th 2024The BioTraceIO software reportedly facilitates visualization of liver tumor ablation procedures based on real-time ultrasound imaging and provides superior post-op estimates of ablation zone volume in comparison to computed tomography.
Filters and Spectral Shaping: Pillars of Quality in Computed Tomography
January 5th 2024Given the essential role of X-ray filtration in computed tomography (CT) systems, this author discusses key principles and emerging advances with filters and spectral shaping to facilitate quality imaging and optimal radiation dosing.
Can ChatGPT and Bard Bolster Decision-Making for Cancer Screening in Radiology?
December 21st 2023In a study examining the potential of the large language models ChatGPT-4 and Bard to follow ACR Appropriateness Criteria for breast cancer, lung cancer, ovarian cancer and colorectal cancer screening, researchers noted “impressive accuracy in making radiologic clinical decisions.”
New Dual-Source CT Device May be Cost-Effective Alternative for Smaller Facilities
November 16th 2023Offering a combination of simplified and personalized scanning for patients at significantly lower lifecycle costs than other dual-source CT systems, the Somatom Pro.Pulse may be a viable option for smaller rural facilities and outpatient imaging centers.
Is Surveillance Imaging Necessary After Primary Radiation for Head and Neck Cancer?
November 13th 2023For patients who had a complete metabolic response to radiation treatment for head and neck cancer, the authors of a recent study found that surveillance imaging with PET/CT, MRI or CT did not improve outcomes in comparison to expectant management.
