Numerous pitfalls are frequently encountered at multimodality imaging of the wrist, which may mimic various tendinous, osseous, capsuloligamentous, muscular, and neurovascular pathologic conditions. These pitfalls may be secondary to variant anatomy, artifactual due to magnetic resonance imaging or sonographic technique, or represent varying ranges of structure-specific normal including a spectrum of findings associated with aging in asymptomatic subjects. When an imaging finding of questionable significance is encountered, it is critical that the interpreting radiologist make every attempt to review any relevant clinical information in an effort to determine whether the imaging findings in question may account for the patient's presenting symptomology. In order to accurately diagnose true pathology at wrist imaging, it is imperative that the radiologist be familiar with the pitfalls discussed throughout this manuscript that may mimic disease. This familiarity will allow the radiologist to provide a more useful report for referring providers focusing on true pathology while eliminating potentially confusing or misleading findings which are inconsistent with the patient's clinical presentation.

Download full-text PDF

Source
http://dx.doi.org/10.1097/RMR.0000000000000254DOI Listing

Publication Analysis

Top Keywords

wrist imaging
8
magnetic resonance
8
resonance imaging
8
true pathology
8
imaging
7
multimodality pitfalls
4
pitfalls wrist
4
imaging focus
4
focus magnetic
4
radiologist
4

Similar Publications

Purpose: Semantic segmentation and landmark detection are fundamental tasks of medical image processing, facilitating further analysis of anatomical objects. Although deep learning-based pixel-wise classification has set a new-state-of-the-art for segmentation, it falls short in landmark detection, a strength of shape-based approaches.

Methods: In this work, we propose a dense image-to-shape representation that enables the joint learning of landmarks and semantic segmentation by employing a fully convolutional architecture.

View Article and Find Full Text PDF

Objective: Meta-analysis of the clinical efficacy of plate and external fixator fixation in the treatment of AO-C type distal radius fractures.

Methods: PubMed, Embase, Cochrane Medical Library, Web of Science, CNKI, Wanfang, VIP and SinoMed databases were searched for all literature on randomized controlled clinical trials of AO-C distal radius fractures. The search time limits were from each database.

View Article and Find Full Text PDF

Objective: To explore the accuracy of human-computer interaction software in identifying and locating type C1 distal radius fractures.

Methods: Based on relevant inclusion and exclusion criteria, 14 cases of type C1 distal radius fractures between September 2023 and March 2024 were retrospectively analyzed, comprising 3 males and 11 females(aged from 27 to 82 years). The data were assigned randomized identifiers.

View Article and Find Full Text PDF

Objective: To evaluate the short-term clinical efficacy of external fixation and internal fixation with steel plate in the treatment of unstable distal radius fractures (AO-23C type), based on the principles of Chinese osteosynthesis (CO).

Methods: Forty-eight patients with unstable distal radius fractures between January 2022 and February 2023 were retrospectively analyzed and divided into the CO external fixation group and internal fixation group. CO external fixation group consisted of 25 patients, including 7 males and 18 females, aged from 37 to 56 years old with an average of ( 52.

View Article and Find Full Text PDF

Cervical fracture dislocation often leads to neurological deficits, manifesting with sensory and motor symptoms, which may persist even after surgical intervention. We presented two cases with mild neurological deficits following such injuries. In Case 1, the patient presented with left-hand numbness 1 month after a car accident.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!