Opportunistic Screening: Radiology Scientific Expert Panel

PJ Pickhardt, RM Summers, JW Garrett, A Krishnaraj… - Radiology, 2023 - pubs.rsna.org
Radiologic tests often contain rich imaging data not relevant to the clinical indication.
Opportunistic screening refers to the practice of systematically leveraging these incidental …

Artificial Intelligence Applications for Osteoporosis Classification Using Computed Tomography

W Ong, RW Liu, A Makmur, XZ Low, WJ Sng, JH Tan… - Bioengineering, 2023 - mdpi.com
Osteoporosis, marked by low bone mineral density (BMD) and a high fracture risk, is a major
health issue. Recent progress in medical imaging, especially CT scans, offers new ways of …

Abdominal Imaging in the Coming Decades: Better, Faster, Safer, and Cheaper?

PJ Pickhardt - Radiology, 2023 - pubs.rsna.org
worldwide reach. Thus, it is the imaging modality best suited to address the global health
issues related to hepatic steatosis and metabolic syndrome. Although MRI (and CT) are …

The Role of BIA Analysis in Osteoporosis Risk Development: Hierarchical Clustering Approach

GA Sgarro, L Grilli, AA Valenzano, F Moscatelli… - Diagnostics, 2023 - mdpi.com
Osteoporosis is a common musculoskeletal disorder among the elderly and a chronic
condition which, like many other chronic conditions, requires long-term clinical …

Skeletal muscle area on CT: determination of an optimal height scaling power and testing for mortality risk prediction

L Blankemeier, L Yao, J Long, EP Reis… - American Journal of …, 2024 - Am Roentgen Ray Soc
BACKGROUND. Sarcopenia is commonly assessed on CT by use of the skeletal muscle
index (SMI), which is calculated as the skeletal muscle area (SMA) at L3 divided by patient …

Fully automated CT imaging biomarkers for opportunistic prediction of future hip fractures

D Liu, JW Garrett, AA Perez, R Zea… - British Journal of …, 2024 - academic.oup.com
Objective Assess automated CT imaging biomarkers in patients who went on to hip fracture,
compared with controls. Methods In this retrospective case-control study, 6926 total patients …

A diagnostic and economic evaluation of the complex artificial intelligence algorithm aimed to detect 10 pathologies on the chest CT images

VY Chernina, MG Belyaev, AY Silin, IO Avetisov… - medRxiv, 2023 - medrxiv.org
Background: Artificial intelligence (AI) technologies can help solve the significant problem of
missed findings in radiology studies. An important issue is assessing the economic benefits …

[HTML][HTML] Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection

J Yoo, H Cho, DH Lee, EJ Cho, I Joo… - Clinical and Molecular …, 2023 - ncbi.nlm.nih.gov
Methods This retrospective study included 2,169 patients with CHB without hepatic
decompensation who underwent contrast-enhanced abdominal CT for hepatocellular …

AI-generated CT body composition biomarkers associated with increased mortality risk in socioeconomically disadvantaged individuals

MH Lee, R Zea, JW Garrett, RM Summers… - Abdominal …, 2024 - Springer
Purpose To evaluate the relationship between socioeconomic disadvantage using national
area deprivation index (ADI) and CT-based body composition measures derived from fully …

Cost-Effectiveness of Artificial Intelligence–Based Opportunistic Compression Fracture Screening of Existing Radiographs

PK Curl, A Jacob, B Bresnahan, NM Cross… - Journal of the American …, 2024 - Elsevier
Purpose Osteoporotic vertebral compression fractures (OVCFs) are a highly prevalent
source of morbidity and mortality, and preventive treatment has been demonstrated to be …