The Application of an Anatomical Database for Fetal Congenital Heart Disease.
- Author:
Li YANG
;
Qiu-Yan PEI
1
;
Yun-Tao LI
;
Zhen-Juan YANG
Author Information
- Publication Type:Journal Article
- MeSH: Cross-Sectional Studies; Databases, Factual; Female; Fetus; Heart Defects, Congenital; diagnostic imaging; pathology; Humans; Male; Pregnancy; Prenatal Diagnosis; Ultrasonography, Prenatal
- From: Chinese Medical Journal 2015;128(19):2583-2587
- CountryChina
- Language:English
-
Abstract:
BACKGROUNDFetal congenital heart anomalies are the most common congenital anomalies in live births. Fetal echocardiography (FECG) is the only prenatal diagnostic approach used to detect fetal congenital heart disease (CHD). FECG is not widely used, and the antenatal diagnosis rate of CHD varies considerably. Thus, mastering the anatomical characteristics of different kinds of CHD is critical for ultrasound physicians to improve FECG technology. The aim of this study is to investigate the applications of a fetal CHD anatomic database in FECG teaching and training program.
METHODSWe evaluated 60 transverse section databases including 27 types of fetal CHD built in the Prenatal Diagnosis Center in Peking University People's Hospital. Each original database contained 400-700 cross-sectional digital images with a resolution of 3744 pixels × 5616 pixels. We imported the database into Amira 5.3.1 (Australia Visage Imaging Company, Australia) three-dimensional (3D) software. The database functions use a series of 3D software visual operations. The features of the fetal CHD anatomical database were analyzed to determine its applications in FECG continuing education and training.
RESULTSThe database was rebuilt using the 3D software. The original and rebuilt databases can be displayed dynamically, continuously, and synchronically and can be rotated at arbitrary angles. The sections from the dynamic displays and rotating angles are consistent with the sections in FECG. The database successfully reproduced the anatomic structures and spatial relationship features of different fetal CHDs. We established a fetal CHD anatomy training database and a standardized training database for FECG. Ultrasound physicians and students can learn the anatomical features of fetal CHD and FECG through either centralized training or distance education.
CONCLUSIONSThe database of fetal CHD successfully reproduced the anatomic structures and spatial relationship of different kinds of fetal CHD. This database can be widely used in anatomy and FECG teaching and training.
