Trends in the treatment of proximal humerus fractures from 2010 to 2020

Papalia, Aidan G.; Romeo, Paul V.; Kingery, Matthew T.; Alben, Matthew G.; Lin, Charles C.; Simcox, Trevor G.; Zuckerman, Joseph D.; Virk, Mandeep S.

doi:10.1016/j.jse.2023.07.038

Cited by 8 publications

(1 citation statement)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recent studies show that decision making in planning surgical treatment depends on many factors, such as age, patient demographics, and the presence of dislocation and fracture patterns [12]. Studies also show that DLR's arti cial intelligence (AI) technologies, which offer very realistic simulation and a high degree of delity, are an important tool for surgeons.…”

Section: Discussionmentioning

confidence: 99%

Volume Rendering Techniques in Computerized Tomography for the Evaluation of Proximal Humerus Fractures: A Case report

Zarakovitis,

Karametos

2024

Preprint

View full text Add to dashboard Cite

Background: Proximal Humerus Fracture (PHF) is the third most common type of fracture, commonly occurring in older people, with a higher incidence in those over 50 years of age. Diagnostic imaging includes X-rays of the shoulder and a CT scan to aid surgical treatment and pre-operative surgical planning. The CT scan is performed in combination with the new applications of artificial intelligence in image reconstruction. Cost is a major limitation when it comes to AI technology, therefore public hospitals in Greece cannot afford it. The novelty of our article is that we investigate a practical way to reconstruct CT images of proximal humerus fractures by using the Volume Rendering Technique algorithm to generate images of great accuracy and detail, especially in the absence of Deep Learning Reconstruction systems. Case presentation: We present the case of a 48-year-old worker who was injured after falling from a ladder and was diagnosed with a PHF and a scapula fracture. Three-dimensional (3D) image reconstruction of the shoulder joint showed a fracture line with high accuracy. The surgeons were supported in the decision to transfer the patient to a specialized hospital for treatment of severe fractures. Conclusions: The Volume Rendering Technique algorithm is a helpful tool that allows physicians to create three-dimensional images of proximal humerus fractures with great accuracy. The process is performed in a very short time and allows surgeons to proceed with preoperative planning of the shoulder.

show abstract

Section: Discussionmentioning

confidence: 99%