Physical functions, to be or not to be a risk factor for osteochondritis dissecans of the humeral capitellum?

Sakata, Jun; Ishikawa, Hiroaki; Inoue, Ryota; Urata, Daigo; Ohinata, Jun; Kimoto, Takayuki; Nakamura, Emi; Miyazaki, Tatsuya; Matsui, Takaaki; Watanabe, Hiroyuki; Muraki, Takayuki; Morimoto, Mitsutoshi; Egawa, Tsuyoshi; Kurokawa, Daisuke; Furushima, Kaoru; Morihara, Toru; Yamazaki, Takao; Yamamoto, Noriaki

doi:10.1016/j.jseint.2022.07.001

Cited by 3 publications

(3 citation statements)

References 24 publications

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“…In the examination of baseball elbow, the detection rate of abnormalities has been reported in several studies. The definition of abnormal findings is described in a previous report [17]. An irregularity, a break in the continuity of the high echogenic line of subchondral bone, or a double line of the subchondral bone of the capitellum were determined to be abnormal findings.…”

Section: Discussionmentioning

confidence: 99%

Detection of Elbow OCD in the Ultrasound Image by Artificial Intelligence Using YOLOv8

et al. 2023

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Background: Screening for elbow osteochondritis dissecans (OCD) using ultrasound (US) is essential for early detection and successful conservative treatment. The aim of the study is to determine the diagnostic accuracy of YOLOv8, a deep-learning-based artificial intelligence model, for US images of OCD or normal elbow-joint images. Methods: A total of 2430 images were used. Using the YOLOv8 model, image classification and object detection were performed to recognize OCD lesions or standard views of normal elbow joints. Results: In the binary classification of normal and OCD lesions, the values from the confusion matrix were the following: Accuracy = 0.998, Recall = 0.9975, Precision = 1.000, and F-measure = 0.9987. The mean average precision (mAP) comparing the bounding box detected by the trained model with the true-label bounding box was 0.994 in the YOLOv8n model and 0.995 in the YOLOv8m model. Conclusions: The YOLOv8 model was trained for image classification and object detection of standard views of elbow joints and OCD lesions. Both tasks were able to be achieved with high accuracy and may be useful for mass screening at medical check-ups for baseball elbow.

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Section: Discussionmentioning

confidence: 99%

Detection of Elbow OCD in the Ultrasound Image by Artificial Intelligence Using YOLOv8

et al. 2023

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“… 19 Sonography has recently contributed to the detection of many early and silent OCD lesions in adolescent baseball players on the field, especially in Japan. 19 , 30 52 , 69 , 88 , 89 , 92 …”

Section: Imagingmentioning

confidence: 99%

Osteochondritis dissecans of the elbow: recent evolution of pathogenesis, imaging, and treatment modalities

Takahara

2024

JSES International

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“…Modifiable factors include body mass index, coaching, altered throwing mechanics, frequency, and volume of throwing activities, and individual physical characteristics, including decreased flexibility, fatigue, weakness of upper and lower limbs, rotator cuff imbalance, and altered core stability. 34,35,37 It needs no discussion that the focus should be on modifiable factors to avoid future OCD of the capitellum.…”

Section: Preventionmentioning

confidence: 99%

Update in diagnosis, treatment, and prevention of osteochondritis dissecans of the capitellum

2023

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Osteochondritis dissecans of the capitellum is debilitating and is a potentially sports career-ending injury in a young and athletic population. Osteochondritis dissecans typically occurs in patients between the ages of 10 and 24 years, and boys are more commonly affected than girls. Conventional radiographs have low diagnostic accuracy, and magnetic resonance imaging (with or without contrast) or computed tomography may aid in accurate diagnosis. The primary indication for non-operative treatment is the presence of an intact cartilage cap on magnetic resonance imaging, indicating a “stable lesion.” However, if operative treatment is necessary, various surgical procedures are available when operative treatment for an osteochondritis dissecans of the capitellum is considered, including open or arthroscopic removal of loose bodies, with or without microfracturing, fragment fixation, osteochondral autograft transplantation, and osteochondral allograft transplantation. The decision-making process for selecting the appropriate treatment considers factors such as the patient's characteristics, functional limitations, and lesion morphology.

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Physical functions, to be or not to be a risk factor for osteochondritis dissecans of the humeral capitellum?

Cited by 3 publications

References 24 publications

Detection of Elbow OCD in the Ultrasound Image by Artificial Intelligence Using YOLOv8

Detection of Elbow OCD in the Ultrasound Image by Artificial Intelligence Using YOLOv8

Osteochondritis dissecans of the elbow: recent evolution of pathogenesis, imaging, and treatment modalities

Update in diagnosis, treatment, and prevention of osteochondritis dissecans of the capitellum

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