Therapeutic Effects and Finite Element Analysis of a Combined Treatment Using Laser Needle-Knife with Supine Repositioning Massage on Patients with Cervical Spondylotic Vertebral Arteriopathy
| Autor: | Cunxin Wang, Liu Fang, Gaoyi Yang, Xin Yang, Liu Chenghao, Jin Yabei, Fangjun Wang, Wei Wei |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
medicine.medical_specialty
Supine position Massage business.industry Background data Therapeutic effect Hemodynamics 02 engineering and technology medicine.disease Surgery 03 medical and health sciences 0302 clinical medicine Combined treatment Artificial Intelligence 0202 electrical engineering electronic engineering information engineering Cervical spondylosis medicine 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Artificial intelligence Needle knife business 030217 neurology & neurosurgery Software |
| Zdroj: | International Journal of Pattern Recognition and Artificial Intelligence. 31:1757008 |
| ISSN: | 1793-6381 0218-0014 |
| DOI: | 10.1142/s0218001417570087 |
| Popis: | Objective: To investigate the effectiveness of combined laser needle-knife and massage on cervical spondylotic vertebral arteriopathy patients. Summary of background data: With the recent rise of electronic businesses, the incidence of cervical spondylosis has also risen rapidly. Methods: Cervical spondylotic vertebral arteriopathy patients were treated using laser needle-knife with massage, and compared to patients who only received the massage. A 3D anatomical and hemodynamic model was developed. Results: The symptomatic and functional overall scores were reduced by 71.43% after the combined treatment. Results from the finite element analysis indicated that the maximum flow rate of the left vertebral artery was improved by 47.52% and the right was improved by 38.67%. Conclusion: A combined treatment of cervical spondylotic vertebral arteriopathy using laser needle-knife and massage is an effective approach with a therapeutic mechanism closely related to hemodynamics. |
| Databáze: | OpenAIRE |
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