A practical focus on sesame allergy and a brief review of other seed allergies.

IF 1.3 4区 数学 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Kelsey Kaman, Jeffrey M Factor
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引用次数: 0

Abstract

Although seed allergies are relatively rare, sesame allergy has been increasing worldwide and is typically persistent in most patients. Because allergen labeling laws, until just recently, have not required the declaration of sesame as a major allergen, there is a clear need to better understand and potentially treat this food allergy. Although blood and skin prick testing for sesame have limited predictive value, this improves with the use of component diagnostics and skin-prick test with fresh sesame. A thorough history and oral food challenge should be used to diagnose sesame allergy. Treatment of sesame allergy with oral immunotherapy has been demonstrated to be safe and effective in case reports, and in at least one controlled study with a published sesame oral immunotherapy protocol. There is minimum literature with regard to management of other seed allergies.

重点介绍芝麻过敏的实际情况,并简要回顾其他种子过敏症。
虽然芝麻过敏相对罕见,但在全球范围内,芝麻过敏的患者却越来越多,而且大多数患者都是持续性的。由于直到最近,过敏原标签法才要求将芝麻列为主要过敏原,因此显然有必要更好地了解并治疗这种食物过敏。虽然针对芝麻的血液和皮肤点刺试验的预测价值有限,但随着成分诊断和新鲜芝麻皮肤点刺试验的使用,预测价值会有所提高。在诊断芝麻过敏时,应详细询问病史并进行口服食物挑战。病例报告和至少一项已公布芝麻口服免疫疗法方案的对照研究表明,用口服免疫疗法治疗芝麻过敏是安全有效的。有关其他种子过敏治疗的文献很少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision 工程技术-计算机:人工智能
CiteScore
4.30
自引率
5.00%
发文量
70
审稿时长
3.3 months
期刊介绍: The Journal of Mathematical Imaging and Vision is a technical journal publishing important new developments in mathematical imaging. The journal publishes research articles, invited papers, and expository articles. Current developments in new image processing hardware, the advent of multisensor data fusion, and rapid advances in vision research have led to an explosive growth in the interdisciplinary field of imaging science. This growth has resulted in the development of highly sophisticated mathematical models and theories. The journal emphasizes the role of mathematics as a rigorous basis for imaging science. This provides a sound alternative to present journals in this area. Contributions are judged on the basis of mathematical content. Articles may be physically speculative but need to be mathematically sound. Emphasis is placed on innovative or established mathematical techniques applied to vision and imaging problems in a novel way, as well as new developments and problems in mathematics arising from these applications. The scope of the journal includes: computational models of vision; imaging algebra and mathematical morphology mathematical methods in reconstruction, compactification, and coding filter theory probabilistic, statistical, geometric, topological, and fractal techniques and models in imaging science inverse optics wave theory. Specific application areas of interest include, but are not limited to: all aspects of image formation and representation medical, biological, industrial, geophysical, astronomical and military imaging image analysis and image understanding parallel and distributed computing computer vision architecture design.
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