Publications by authors named "A Reginelli"

Article Synopsis
  • * Conducted on 65 CD patients, the findings showed that 32 exhibited the bright luminal sign, which demonstrated high sensitivity (90%) and specificity (85%) in identifying fibrotic strictures when compared with other imaging techniques.
  • * The results suggest that DWI hyperintensity could serve as a non-invasive indicator for detecting severe intestinal fibrosis, aiding in early diagnosis and potentially preventing complications. However, further research with larger
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Sarcopenia, a syndrome characterized by age-related loss of muscle mass and function, lacks universally accepted diagnostic criteria, particularly for its role as a prognostic factor in elderly patients with non-small-cell lung cancer (NSCLC). This study aimed to evaluate the prognostic significance of sarcopenia, assessed by psoas muscle size on baseline CT scans, in patients over 70 years of age with metastatic NSCLC. We retrospectively analyzed 85 elderly patients undergoing palliative radiation therapy between August 2022 and July 2024.

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Article Synopsis
  • The study focuses on a patient with mixed idiopathic pulmonary fibrosis and chronic hypersensitivity pneumonitis, analyzed over 3 years using CT imaging and AI tools.
  • It highlights the difficulty in distinguishing between these lung diseases and the necessity of a team-based approach for better diagnosis and treatment.
  • The findings underscore the value of advanced technology in tracking disease progression and improving care quality for complex lung conditions.
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Fractures are one of the most common reasons of admission to emergency department affecting individuals of all ages and regions worldwide that can be misdiagnosed during radiologic examination. Accurate and timely diagnosis of fracture is crucial for patients, and artificial intelligence that uses algorithms to imitate human intelligence to aid or enhance human performs is a promising solution to address this issue. In the last few years, numerous commercially available algorithms have been developed to enhance radiology practice and a large number of studies apply artificial intelligence to fracture detection.

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