颧骨复合体骨折临床资料回顾性研究

目的：旨在对颧骨骨折的流行病学、治疗、并发症等作初步评估。方法：从长江大学第一人民医院2008年8月~2013年8月期间的97例颧骨骨折住院患者的病情资料中,针对性别、年龄、个人嗜好、病因、症状体征、口腔卫生状况、初诊、住院、手术时间、骨折类型、手术进路、治疗手段、抗生素使用情况、出院时间、术后并发症发生等方面进行描述性分析。结果：本病发生最常见的年龄段是31~40岁,最常见的病因是交通事故,最常见的症状体征是疼痛与肿胀,骨折类型以Ⅰ类骨折最常见,手术的方式全都采用切开复位内固定的术式,术后如有指征可使用抗生素,最常见的并发症是下眶下区麻木。结论：目前的治疗方案较为合理,与其他同类报道相比,有一定的先进性。

Raman spectroscopy for human cancer tissue diagnosis: A pattern recognition approach

In this work, optical scattering using Raman spectroscopy has been analyzed for various cancer tissues. The Raman shifts obtained at the Indiana University Bloomington (IUB) and Indiana University-Purdue University Indianapolis (IUPUI) laboratories have been processed for diagnosing various types of cancer tissues. The objective of this research is to distinguish between cancerous and non-cancerous tissues. Small size tissue samples have been processed, seeking the minimum size tissue that can be diagnosed via Raman spectroscopy. The tests have been conducted on nearly 20 human tissues. A Matlab program has been written following Parzen-Window classifier to recognize the Raman shift pattern for various types of cancer tissues, including breast cancer, kidney, and Gyn-Uterus. A software visual model has been used for data processing. Unique signals for breast and kidney tumors have been obtained. The approach followed in this paper shows promise for early cancer detection in humans.