1.Analysis of the related factors of orbital fat volume in healthy person
Futing FENG ; Zhaoyou GUO ; Min LUO ; Dawei LIAO ; Guangxiang CHEN
Journal of Practical Radiology 2018;34(6):847-849,904
Objective To explore the relationship between the orbital fat volume and the age,gender,orbital anteroposterior and transverse diameter in healthy person.Methods 210 healthy person (105 males and 105 females)were enrolled and equally divided into 7 groups according to the age.The area of the orbital fat,orbital anteroposterior and transverse diameter in all the above groups were measured in axial CT images.Then the volume of the orbital fat were computed using equation.The relationship between the orbital fat volume and the age,gender,orbital anteroposterior and transverse diameter were analyzed in the different gender and age groups.Results The volume of orbital fat was symmetrical in all age groups,and the mean fat volume of bilateral orbital was(18 957±4 143)mm3,in which adults (age>20 years old)had the average orbital fat volume (20 340±3 514)mm3.The mean values of the orbital anteroposterior and transverse diameter were (5.16±0.37)mm and (3.74±0.23)mm,respectively.The orbital fat volume in male was greater than that in female in all age group,in addition,it was positively correlated with the age,orbital oranteroposterior and transverse diameter (P<0.001).Conclusion The orbital fat volumes are associated with the age,gender,orbital anteroposterior and transverse diameter in healthy person.In addition,the orbital fat volume in male is greater than that in female.
2.Design and Construction of a Specialized Clinical Research Database for Inflammatory Demyelinating Diseases of the Central Nervous System
Lei WU ; Bing WANG ; Qian YU ; Hui SUN ; He ZHAO ; Sai GAO ; Hena GUO ; Yanning HUANG ; Zhaoyou MENG ; Li-Anchen XIAO ; Haizhen XU ; Dehui HUANG
Journal of Medical Informatics 2024;45(5):83-88
Purpose/Significance To construct a specialized database for inflammatory demyelinating disease of the central nervous system(CNS),so as to contribute to clinical research and improve the diagnostic and treatment capabilities of primary healthcare institu-tions.Method/Process Using the internet to collect medical data,after processing and analysis,the CNS inflammatory demyelinating disease database is constructed.Using statistical analysis,natural language processing(NLP),artificial intelligence(AI)image recog-nition and data visualization and other technologies,the database information is integrated and analyzed.Result/Conclusion A standard-ized big database for CNS inflammatory demyelinating diseases is constructed,which enables visualization of clinical research data,pro-vides patient education and specialist training,and facilitates multi-center teleconsultations.The establishment of a specialized database for the CNS inflammatory demyelinating disease can promote the transformation of medical research achievements,provide references for future real-world clinical research,optimize the process of diagnosis and treatment,and improve the clinical capability of primary healthcare institutions.