目的：观察针刀治疗颈源性头痛的效果，探讨皮神经卡压因素在颈源性头痛发病中的作用。
Objective: To observe the needle-knife treatment of cervicogenic headache effects of nerve compression factor in cervical headache pathogenesis.
李锴摘要目的观察椎旁神经阻滞配合小针刀松解治疗颈源性头痛的疗效。
Objective: To observe the effects of paravertebral nerve block therapy combining with acupotomy on the cervicogenic headache.
我其实已经很焦虑了，因为长期处于痛苦不堪的日子里，我的躯体僵硬如木，但痛觉神经却高度紧张，然而令人惊奇的是，我只感觉到了针刀的一点点痛。
I was already anxious because I had been in chronic pain for days, my body was stiff and my pain receptors were on high alert, but surprisingly, I felt little pain from the needles.
通过迅速减压，电刀凝固，从脑膜垂体干上移开，沿着颅神经分离。
The tumor was removed via rapid decompression, coagulation of the feeder from the meningohypophyseal trunk, and dissection along the cranial nerves.
超声刀热灼伤2例，局部组织水肿压迫伤1例，均为喉返神经暂时性麻痹。
The reasons leading to the injury included thermal burn by ultrasound knife in 2 cases and edema compression in 1 case. The injury was transient recurrent laryngeal nerve paralysis.
目的观察自行设计的微棱形针刀治疗枕大神经、枕小神经卡压性头痛的疗效。
Objective To observe the effect of microprismatic needle scalpel(MPNS) on headache induced by compression of greater occipital nerve or lesser occipital nerve.
采用线刀切断大鼠内侧前脑束造成多巴胺能神经元的慢性退行性改变。
The medial forebrain bundle of rats was transected with a wire knife to set up a model of chronic degeneration of dopaminergic neurons.
目的观察以针刀为主治疗神经根型颈椎病的疗效。
AIM: To observe the curative effect of cervical spondylopathy of nerve root type mainly treated by needle scalpel therapy.
其中交通伤4例，刀砍伤及肿瘤侵及面神经各2例，跌落伤1例。
The defect was caused by traffic injury(4 cases) , by cutting injury (2 cases) and falling wound(1 case).
目的：利用小针刀及颈椎持续牵引治疗神经根型颈椎病，观察其治疗效果，探讨其作用机理。
Objective: To explore the mechanism and clinical effect of Nerve root type cervical spondylosis was treated with scalpel compare with Continuous cervical traction.
结果表明，通过人工神经网络估算刀磨损值与实测值基本一致，系统取得了90%的刀具磨损识别成功率。
The results from the system are largely consistent with the recorded data by instruments. This system suggests that its reliablity be up to 90 percent.
结果表明，通过人工神经网络估算刀磨损值与实测值基本一致，系统取得了90%的刀具磨损识别成功率。
The results from the system are largely consistent with the recorded data by instruments. This system suggests that its reliablity be up to 90 percent.
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