Value-added opportunistic CT screening: state of the art

PJ Pickhardt - Radiology, 2022 - pubs.rsna.org
Opportunistic CT screening leverages robust imaging data embedded within abdominal and
thoracic scans that are generally unrelated to the specific clinical indication and have …

Alternatives to DEXA for the assessment of bone density: a systematic review of the literature and future recommendations

N Deshpande, MS Hadi, JC Lillard, PG Passias… - … of Neurosurgery: Spine, 2023 - thejns.org
OBJECTIVE Osteoporosis has significant implications in spine fusion surgery, for which
reduced spinal bone mineral density (BMD) can result in complications and poorer …

[HTML][HTML] Development of a spine X-ray-based fracture prediction model using a deep learning algorithm

SH Kong, JW Lee, BU Bae, JK Sung… - Endocrinology and …, 2022 - synapse.koreamed.org
Background Since image-based fracture prediction models using deep learning are lacking,
we aimed to develop an X-ray-based fracture prediction model using deep learning with …

Quantitative CT screening improved lumbar BMD evaluation in older patients compared to dual-energy X-ray absorptiometry

W Lin, C He, F **e, T Chen, G Zheng, H Yin, H Chen… - BMC geriatrics, 2023 - Springer
Background Robust evidence on whether diagnostic discordance exists between lumbar
osteoporosis detected by quantitative computed tomography (QCT) vs. dual-energy X-ray …

Prevalence of osteoporosis in spinal surgery patients older than 50 years: a systematic review and meta-analysis

Z Fan, X Yan, B Li, E Shen, X Xu, H Wang, Y Zhuang - PLoS One, 2023 - journals.plos.org
Introduction In spine surgery, poor bone condition is associated with several complications
like adjacent segment fractures, proximal junctional kyphosis, and screw loosening. Our …

Deep learning classification of spinal osteoporotic compression fractures on radiographs using an adaptation of the genant semiquantitative criteria

Q Dong, G Luo, NE Lane, LY Lui, LM Marshall… - Academic radiology, 2022 - Elsevier
Rationale and Objectives Osteoporosis affects 9% of individuals over 50 in the United States
and 200 million women globally. Spinal osteoporotic compression fractures (OCFs), an …

Current development and prospects of deep learning in spine image analysis: a literature review

B Qu, J Cao, C Qian, J Wu, J Lin… - … Imaging in Medicine …, 2022 - pmc.ncbi.nlm.nih.gov
Background and Objective As the spine is pivotal in the support and protection of human
bodies, much attention is given to the understanding of spinal diseases. Quick, accurate …

[HTML][HTML] 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 …

Development and external validation of automated detection, classification, and localization of ankle fractures: inside the black box of a convolutional neural network …

J Prijs, Z Liao, MS To, J Verjans, PC Jutte… - European journal of …, 2023 - Springer
Abstract Purpose Convolutional neural networks (CNNs) are increasingly being developed
for automated fracture detection in orthopaedic trauma surgery. Studies to date, however …

Generalizability of deep learning classification of spinal osteoporotic compression fractures on radiographs using an adaptation of the modified-2 algorithm-based …

Q Dong, G Luo, NE Lane, LY Lui, LM Marshall… - Academic radiology, 2023 - Elsevier
Rationale and Objectives Spinal osteoporotic compression fractures (OCFs) can be an early
biomarker for osteoporosis but are often subtle, incidental, and underreported. To ensure …