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Diagnostic Accuracy of Artificial Intelligence for Detection of Rib Fracture on X-ray and Computed Tomography Imaging: A Systematic Review.
J Imaging Inform Med
January 2025
Department of Orthopedic Surgery, Arrowhead Regional Medical Center, Colton, CA, USA.
Rib pathology is uniquely difficult and time-consuming for radiologists to diagnose. AI can reduce radiologist workload and serve as a tool to improve accurate diagnosis. To date, no reviews have been performed synthesizing identification of rib fracture data on AI and its diagnostic performance on X-ray and CT scans of rib fractures and its comparison to physicians.
View Article and Find Full Text PDFDetermination of adequate bony resection margins in inflammatory jaw pathologies using SPECT-CT in primary mandibular reconstruction with virtually planned vascularized bone flaps.
Clin Oral Investig
January 2025
Department of Oral and Maxillofacial Surgery, University Hospital RWTH Aachen, Pauwelsstraße 30, D-52074, Aachen, Germany.
Objectives: In advanced stages of osteoradionecrosis, medication-related osteonecrosis of the jaw, and osteomyelitis, a resection of sections of the mandible may be unavoidable. The determination of adequate bony resection margins is a fundamental problem because bony resection margins cannot be secured intraoperatively. Single-photon emission computed tomography (SPECT-CT) is more accurate than conventional imaging techniques in detecting inflammatory jaw pathologies.
View Article and Find Full Text PDFComparison of software-assisted and freehand methods of rotational assessment for diaphyseal tibia fractures.
Eur J Orthop Surg Traumatol
January 2025
Cedars-Sinai Medical Centre, Los Angeles, USA.
Objective: Accurate rotational reduction following tibial shaft fracture fixation is absent in up to 36% of cases yet may be critical for lower extremity biomechanics. The objective of this cadaveric study was to compare the results of freehand methods of reduction with software-assisted reduction.
Methods: Four fellowship-trained orthopaedic trauma surgeons attempted rotational correction in a cadaveric model with fluoroscopic assistance (without radiographic visualization of the fracture site) using (1) their method of choice (MoC) and (2) software assistance (SA).
Multistage deep learning methods for automating radiographic sharp score prediction in rheumatoid arthritis.
Sci Rep
January 2025
Department of Radiation Oncology, University of Maryland School of Medicine, Baltimore, MD, USA.
The Sharp-van der Heijde score (SvH) is crucial for assessing joint damage in rheumatoid arthritis (RA) through radiographic images. However, manual scoring is time-consuming and subject to variability. This study proposes a multistage deep learning model to predict the Overall Sharp Score (OSS) from hand X-ray images.
View Article and Find Full Text PDFDual-energy CT-derived virtual noncalcium imaging to assess bone marrow lesions in patients with knee osteoarthritis.
Sci Rep
January 2025
Department of Radiology, The First Affiliated Hospital, Hengyang Medical School, University of South China, Chuanshan Road No. 69, Hengyang, 421001, Hunan, China.
To determine the diagnostic performance of dual-energy CT (DECT) virtual noncalcium (VNCa) technique in the detection of bone marrow lesions (BMLs) in knee osteoarthritis, and further analyze the correlation between the severity of BMLs on VNCa image and the degree of knee pain. 23 consecutive patients with clinically diagnosed knee osteoarthritis were underwent DECT and 3.0T MRI between August 2017 and November 2018.
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