Objectives Automatic bone lesions detection and classifications present a critical challenge
and are essential to support radiologists in making an accurate diagnosis of bone lesions. In …

Malignant primary bone tumors are uncommon in the pediatric population, accounting for
3%–5% of all pediatric malignancies. Osteosarcoma and Ewing sarcoma comprise 90% of …

Objectives To build and validate deep learning and machine learning fusion models to
classify benign, malignant, and intermediate bone tumors based on patient clinical …

Imaging-guided needle biopsy of musculoskeletal lesions is a high-yield and low-risk
procedure that can be used for definitive characterization of indeterminate bone and soft …

The Canadian Association of Radiologists (CAR) Musculoskeletal System Expert Panel
consists of musculoskeletal radiologists, a family physician, a sports and exercise medicine …

Objective To develop and validate an Osseous Tumor Reporting and Data System (OT-
RADS) with the hypothesis that the proposed guideline is reliable and assists in separating …

Primary bone sarcomas account for less than 1% of diagnosed cancers each year. In this
era of multiplanar and functional imaging, the approach to the radiographic diagnosis of …

Chronic hip pain is a frequent chief complaint for adult patients who present for evaluation in
a variety of clinical practice settings. Following a targeted history and physical examination …

Chronic shoulder pain is an extremely common presenting complaint. Potential pain
generators include the rotator cuff tendons, biceps tendon, labrum, glenohumeral articular …

Purpose To develop a deep learning (DL) model for classifying histological types of primary
bone tumors (PBTs) using radiographs and evaluate its clinical utility in assisting …