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.
Author(s) Details
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.
Please see the book here :- https://doi.org/10.9734/bpi/msup/v7/7139
