Skeletal Survey Imaging: From Basics to Future Trends
Hiba Shakeel
Medical Radiology & Imaging Technology, Paramedical College, Faculty of Medicine, Aligarh Muslim University (AMU), Aligarh, India.
Iba Chaudhary
Medical Radiology & Imaging Technology, Paramedical College, Faculty of Medicine, Aligarh Muslim University (AMU), Aligarh, India.
Mohd. Kamil
Medical Radiology & Imaging Technology, Paramedical College, Faculty of Medicine, Aligarh Muslim University (AMU), Aligarh, India.
Mohd. Arfat
*
Medical Radiology & Imaging Technology, Paramedical College, Faculty of Medicine, Aligarh Muslim University (AMU), Aligarh, India.
*Author to whom correspondence should be addressed.
Abstract
Skeletal Survey (SS) imaging is a method by which the diagnosis of suspected non-accidental injury (NAI) and other forms of skeletal dysplasia is achieved, and high Quality Assurance (QA) is essential to high diagnostic yield. The chapter is an informational helpbook on the modern practices of SS, as it addresses the transformation of the traditional radiography model into transformative types of technological development. We present renewed discussion on Dual-Energy CT (DECT) and Photon-Counting Detector CT (PCD-CT) and Artificial Intelligence (AI) fracture-detection models, with a more specific focus on how they aid in improving their diagnostic accuracy and efficiency. Additionally, the chapter discusses how these innovations can be used together with the necessary medico-legal and radiation safety (ALARA) standards. Combining clinical standards and new technology, the given work is supposed to equip clinicians with the means to achieve maximum patient outcomes and the highest standards of musculoskeletal radiology.
Keywords: Skeletal survey, Non-Accidental Injury (NAI), Photon-Counting Detector CT (PCD-CT), Artificial Intelligence (AI), Quality Assurance (QA), Follow-up Skeletal Survey (FUSS)