Clinical Outcomes of Conservative Treatment for Distal Radius Fractures with or without Ulnar Styloid Fractures

Lee, Jun-Ku; Park, Inkeun; Baek, Eugene; Han, Soo-Hong

doi:10.12790/ahm.2019.24.1.32

Cited by 5 publications

(3 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The integration of deep learning techniques into radiography has yielded promising outcomes. Studies have shown its capability for swift and precise bone age assessment in hand or elbow radiographs, fracture detection across diverse anatomical regions, and the grading of osteoarthritis in knee radiographs [9][10][11]29]. In shoulder imaging, Kim et al suggested using the deep learning model for ruling out rotator cuff tear in a shoulder radiograph, which redefined the role of a conventional radiograph [30].…”

Section: Discussionmentioning

confidence: 99%

“…With the advent of deep learning techniques, numerous models have been applied to screen and assist in labor-intensive radiological tasks in musculoskeletal imaging, such as bone age assessment in the hand or elbow, fracture detection in axial or peripheral skeletons, arthritis grading in knee or sacroiliac joints, muscle quality quantification, muscle and bone segmentation in various sites, and the clinical prediction of outcomes [9][10][11][12][13]. Most of these tasks are time-consuming processes and some of them may even be impossible for a human radiologist to conduct.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI

Lee,

Cho,

Ahn

et al. 2023

Diagnostics

View full text Add to dashboard Cite

This study aimed to develop a screening model for rotator cuff tear detection in all three planes of routine shoulder MRI using a deep neural network. A total of 794 shoulder MRI scans (374 men and 420 women; aged 59 ± 11 years) were utilized. Three musculoskeletal radiologists labeled the rotator cuff tear. The YOLO v8 rotator cuff tear detection model was then trained; training was performed with all imaging planes simultaneously and with axial, coronal, and sagittal images separately. The performances of the models were evaluated and compared using receiver operating curves and the area under the curve (AUC). The AUC was the highest when using all imaging planes (0.94; p < 0.05). Among a single imaging plane, the axial plane showed the best performance (AUC: 0.71), followed by the sagittal (AUC: 0.70) and coronal (AUC: 0.68) imaging planes. The sensitivity and accuracy were also the highest in the model with all-plane training (0.98 and 0.96, respectively). Thus, deep-learning-based automatic rotator cuff tear detection can be useful for detecting torn areas in various regions of the rotator cuff in all three imaging planes.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI

Lee,

Cho,

Ahn

et al. 2023

Diagnostics

View full text Add to dashboard Cite

show abstract

“…Radiographic images were used to assess the distal radius's reposition, the joint surfaces' congruence, and the signs of fracture healing and osteoarthritis. After the clinical condition stabilized, the Mayo Wrist Score and Quick Disability of the Arm, Shoulder, and Hand Questionnaire were used to evaluate the functional outcome of the treatment [9,10,11].…”

Section: Methodsmentioning

confidence: 99%

Comparing Conservative Treatment of Distal Ulna Fractures with Operative treatment

Ahmed¹,

Shaikh²,

Laghari³

et al. 2023

PJMHS

View full text Add to dashboard Cite

Objective: To compare the outcome of conservative treatment of distal ulna fractures with operative treatment Study design: A randomized control trial Place and duration: This study was conducted at Muhammad Medical College and Hospital Mirpurkhas from September 2021 to September 2022 Methodology:Patients with different types of ulnar fractures (base fractures, head fractures, and subchondral fractures) were divided into two groups based on a systematic approach that established the course of treatment for forearm fractures. The fractures of the distal radius in Group A were treated with plating osteosynthesis, while the fractures of the distal ulna were taken care of with a surgical procedure involving the implantation of an LCP Distal Ulna Plate (De PuySynthes, USA) Results: A total of 120 patients were enrolled in the study, 8 of whom had to be excluded due to the development of carpal ligament damage symptoms. The 112 patients who remained were divided into three groups: 36 in group A, 42 in group B, and 34 in group C. The results of distal forearm fractures were initially treated with closed repositioning in local anesthesia and plaster fixation in 89 cases. In 10 cases, external fixation was primarily applied due to soft tissue conditions. The definitive surgical procedure was performed on average 10 days (3-19) from the injury. In group A, osteosynthesis of both bones was performed during one operation in 30 patients. In 7 cases, it was necessary to perform a two-phase procedure due to the state of the soft tissues. Conclusion: Based on the study's results, osteosynthesis is the more successful treatment for sub-capital fractures, as it results in better early outcomes than a conservative approach. However, due to the low number of patients with this type of fracture, it is impossible to make definitive treatment recommendations Keywords: distal ulnar fracture, osteosynthesis, conservative treatment

show abstract

Comparative analysis of tension band wiring and hook plate fixation in ulnar styloid fractures: a focus on fracture type

Kang,

Lee,

2024

Arch Orthop Trauma Surg

View full text Add to dashboard Cite

Clinical Outcomes of Conservative Treatment for Distal Radius Fractures with or without Ulnar Styloid Fractures

Cited by 5 publications

References 23 publications

Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI

Deep-Learning-Based Automated Rotator Cuff Tear Screening in Three Planes of Shoulder MRI

Comparing Conservative Treatment of Distal Ulna Fractures with Operative treatment

Comparative analysis of tension band wiring and hook plate fixation in ulnar styloid fractures: a focus on fracture type

Contact Info

Product

Resources

About