Carpal Tunnel Syndrome, Generalities, Management and Treatment

García, None Bryam Esteban Coello; Pesántez, None Santiago Andrés Vintimilla; Cabrera, Mayteé Celina Guerrero; Rodríguez, Diana Marisol Berrezueta; Mendieta, Edison Rodrigo Aucay; Escorza, Francisco Javier Fuertes; Medina, Darwin Arturo Pullas

doi:10.36713/epra11359

Cited by 2 publications

(2 citation statements)

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“…Osteonecrosis are lesions generated by a complete and definitive interruption of the blood supply, an example could be avascular necrosis of the lunate bone, also known as lunatomalacia. Ischemia or bone infarction is the arrest of arterial circulation (7)(8)(9).…”

Section: Introductionmentioning

confidence: 99%

Freiberg Infraction Scoping Review

Bryam Esteban Coello García,

Sebastián Cardoso Gives,

Lucy Paulette Zumba Ríos

et al. 2024

EPRA

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Introduction: Freiberg's infringement is an osteochondrosis of the metatarsal bone heads, primarily of the second or third metatarsal. It is usually a chronic and progressive process that gradually causes pain and loss of normal function of the metatarsophalangeal joint. Objective: to detail the current information related to Freiberg's disease, etiology, epidemiology, pathophysiology, clinical history, evaluation, differential diagnosis, treatment, prognosis, complications and postoperative period. Methodology: a total of 32 articles were analyzed in this review, including review and original articles, as well as clinical cases, of which 26 bibliographies were used because the other articles were not relevant for this study. The sources of information were PubMed, Google Scholar and Cochrane; the terms used to search for information in Spanish, Portuguese and English were: Freiberg infraction, Freiberg disease, metatarsalgia, osteochondrosis. Results: Freiberg's disease is the only osteochondrosis that is more frequent in women with a ratio of 5:1 in relation to men. Bilateral involvement is reported less than 10% of the time. The involvement primarily involves the second metatarsal in 68% of cases, the third metatarsal in 27% and the fourth metatarsal in 3% and the fifth is rarely affected. Conclusions: Freiberg disease is an osteochondrosis of the metatarsal bone heads, commonly found in second or third metatarsals and common in women and athletes. Osteochondroses are a group of disorders resulting from a lesion of the epiphysis that modifies endochondral ossification and generates irregularity in the articular surface. The pathophysiology of Freiberg's disease is multifactorial. Affected individuals present with pain and swelling located in the affected metatarsal head area of the forefoot. Diagnosis can be confirmed by physical examination and radiographs. Conservative treatment should first be attempted to relieve symptoms and decrease epiphyseal deformity to restrict progression to arthritis regardless of the severity of the disease. There are a number of surgical techniques described for the treatment of Freiberg's disease if conservative treatment fails. Key words: bone infraction, Freibergs disease, metatarsalgia, osteochondrosis, metatarsals.

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Section: Introductionmentioning

confidence: 99%

Freiberg Infraction Scoping Review

Bryam Esteban Coello García,

Sebastián Cardoso Gives,

Lucy Paulette Zumba Ríos

et al. 2024

EPRA

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“…Others risk factors include a family history of CTS and a personal history of diabetes, obesity, hypothyroidism, pregnancy, and rheumatoid arthritis. The risk of CTS is also significantly increased by work-related activities that require a high degree of repetition and force or using hand-operated vibratory tools [3][4][5][6].…”

Section: Introduction 1overviewmentioning

confidence: 99%

Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques

et al. 2023

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Carpal tunnel syndrome (CTS) is a clinical disease that occurs due to compression of the median nerve in the carpal tunnel. The determination of the severity of carpal tunnel syndrome is essential to provide appropriate therapeutic interventions. Machine learning (ML)-based modeling can be used to classify diseases, make decisions, and create new therapeutic interventions. It is also used in medical research to implement predictive models. However, despite the growth in medical research based on ML and Deep Learning (DL), CTS research is still relatively scarce. While a few studies have developed models to predict diagnosis of CTS, no ML model has been presented to classify the severity of CTS based on comprehensive clinical data. Therefore, this study developed new classification models for determining CTS severity using ML algorithms. This study included 80 patients with other diseases that have an overlap in symptoms with CTS, such as cervical radiculopathysasas, de quervian tendinopathy, and peripheral neuropathy, and 80 CTS patients who underwent ultrasonography (US)-guided median nerve hydrodissection. CTS severity was classified into mild, moderate, and severe grades. In our study, we aggregated the data from CTS patients and patients with other diseases that have an overlap in symptoms with CTS, such as cervical radiculopathysasas, de quervian tendinopathy, and peripheral neuropathy. The dataset was randomly split into training and test data, at 70% and 30%, respectively. The proposed model achieved promising results of 0.955%, 0.963%, and 0.919% in terms of classification accuracy, precision, and recall, respectively. In addition, we developed a machine learning model that predicts the probability of a patient improving after the hydro-dissection injection process based on the aggregated data after three different months (one, three, and six). The proposed model achieved accuracy after six months of 0.912%, after three months of 0.901%, and after one month 0.877%. The overall performance for predicting the prognosis after six months outperforms the prediction after one and three months. We utilized statistics tests (significance test, Spearman’s correlation test, and two-way ANOVA test) to determine the effect of injection process in CTS treatment. Our data-driven decision support tools can be used to help determine which patients to operate on in order to avoid the associated risks and expenses of surgery.

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Carpal Tunnel Syndrome, Generalities, Management and Treatment

Cited by 2 publications

References 8 publications

Freiberg Infraction Scoping Review

Freiberg Infraction Scoping Review

Predicting CTS Diagnosis and Prognosis Based on Machine Learning Techniques

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