This article report 5 cases of malunion or nonunion ofthe fractures of the jaws which were treated by functional re-duction. From the anatomical and physiological point ofview, this operation was highly versatile and reliable. The re-construction was accomplished precisely in one stage. All pa-tients had a good prognosis.
Lung cancer is one of the tumors with the highest incidence rate and mortality rate in the world. It is also the malignant tumor with the fastest growing number of patients, which seriously threatens human life. How to improve the accuracy of diagnosis and treatment of lung cancer and the survival prognosis is particularly important. Machine learning is a multi-disciplinary interdisciplinary specialty, covering the knowledge of probability theory, statistics, approximate theory and complex algorithm. It uses computer as a tool and is committed to simulating human learning methods, and divides the existing content into knowledge structures to effectively improve learning efficiency and being able to integrate computer science and statistics into medical problems. Through the introduction of algorithm to absorb the input data, and the application of computer analysis to predict the output value within the acceptable accuracy range, identify the patterns and trends in the data, and finally learn from previous experience, the development of this technology brings a new direction for the diagnosis and treatment of lung cancer. This article will review the performance and application prospects of different types of machine learning algorithms in the clinical diagnosis and survival prognosis analysis of lung cancer.
Purpose To analyze the contents of domestic and inter national public ations in neuro-ophthalmology during the past decade. Methods CBM and Medline were separately searched in 2007, by using Medical subject heading for retrieving Chinese and English language neuro-ophthalmic articles which were published between 1997 and 2006. Results A total of 13052 Englishwritten a rticles available for analysis were contributed from more than 70 countries, mainly from USA, United Kingdom, Japan, Germany, Italy and Canada. The order of frequency was visual cortex（4496/13052，34.4%），optic nerve diseases（3870/13052，29.7%），ocular mo tility disorders（2899/13052,22.2%），visual pathway（1191/13052,9.1%）pupil dis orders(596/13052，5.6%). While a total of 3726 articles were retrieved from CBM, the order of frequency being optic nerve diseases（1854,49.8％），ocular motili ty disorders(excluding strabismus, 1357,36.4%),pupil disorders (242, 6.5%)，visual cortex(202, 5.4%), visual pathway(excluding retina, optic nerve, visual cortex, 71). Researchers with diverse specialties contributed to the neuro-ophthalmic publications. Compared with international counterpart, domestic articles relate d to basic researches were much less. Conclusion Neuro-ophtha lmoloy is interdisc iplinary with a wide range of researches and various study hotspots. Domestic basic researches on neuro-ophthalmology remain to be strengthened and improved. (Chin J Ocul Fundus Dis,2008,24:99-102)
目的 分析Peutz-Jeghers综合征临床特点，以提高诊治水平。 方法 2008年11月-2010年1月对8例Peutz-Jeghers综合征的临床资料进行回顾性分析。 结果 男女各4例，年龄13～41岁，病程20 d～40年。8例均有黑斑和息肉，5例有明确的家族史。首发表现以腹痛为主，轻度抑郁表现2例，并发肠套叠2例，结肠癌1例。病理报告：错构瘤4例。外科手术治疗1例，结肠镜治疗6例，保守治疗1例。 结论 Peutz-Jeghers综合征易并发抑郁症、肠套叠和恶性肿瘤，患者需心理治疗和遗传咨询，肠镜下息肉切除是主要手段。