Publications by authors named "Alan Arthur Peters"
Article Synopsis
- The study evaluates a deep learning model (LCP-CNN) for classifying the risk of incidentally detected pulmonary nodules, comparing its performance to traditional statistical methods like the Brock model and Lung-RADS®.
- LCP-CNN showed superior diagnostic accuracy and sensitivity across various patient cohorts, making it more effective for identifying malignant nodules compared to the other methods.
- The findings suggest that integrating deep learning systems can enhance clinical workflows for managing pulmonary nodules, regardless of a patient’s specific risk factors or conditions.
Article Synopsis
- This study compares two MRI techniques, TWIST and GRASP, for imaging aortic diseases, focusing on their effectiveness in dealing with patient movement.
- It involved 30 patients and assessed the image quality of vascular structures, with GRASP showing better contrast and sharpness than TWIST, which is sensitive to motion artifacts.
- Results indicated that GRASP provided clearer images and more accurate measurements of aortic diameters compared to TWIST, despite some increased streaking artifacts in GRASP images.
The study aimed to evaluate the impact of AI assistance on pulmonary nodule detection rates among radiology residents and senior radiologists, along with assessing the effectiveness of two different commercialy available AI software systems in improving detection rates and LungRADS classification in chest CT. The study cohort included 198 participants with 221 pulmonary nodules. Residents' mean detection rate increased significantly from 64 to 77% with AI assist, while seniors' detection rate remained largely unchanged (85% vs.
View Article and Find Full Text PDFTo determine the diagnostic performance of simulated reduced-dose chest CT scans regarding pulmonary T1 tumors and assess the potential impact on patient management, a repository of 218 patients with histologically proven pulmonary T1 tumors was used. Virtual reduced-dose images were simulated at 25%- and 5%-dose levels. Tumor size, attenuation, and localization were scored by two experienced chest radiologists.
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