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An intelligent quantification system for fetal heart rhythm assessment: A multicenter prospective study
Xin Yang1, Xiaoqiong Huang1, Chenchen Wei2
1National-Regional Key Technology Engineering Laboratory for Medical Ultrasound, School of Biomedical Engineering, Health Science Center, Shenzhen University, Shenzhen, Guangdong, China.
Heart Rhythm
|January 24, 2024
Summary
This study developed a fetal heart rhythm intelligent quantification system (HR-IQS) to automatically calculate cardiac time intervals (CTIs) from pulsed-wave Doppler (PWD) spectra. The system demonstrated feasibility for automated CTI calculation, aiding fetal rhythm assessment.
Area of Science:
- Cardiology
- Medical Imaging
- Artificial Intelligence
Background:
- Accurate fetal cardiac time intervals (CTIs) from pulsed-wave Doppler (PWD) spectra are crucial for diagnosing fetal arrhythmia.
- Current technologies for automatic CTI calculation are limited.
Purpose of the Study:
- To develop a fetal heart rhythm intelligent quantification system (HR-IQS) for automatic CTI extraction.
- To establish normal reference ranges for fetal CTIs.
Main Methods:
- Collected 6498 PWD spectums from 2630 fetuses across 14 centers.
- Trained a deep learning model using manual labels from cardiologists and employed five-fold cross-validation.
- Evaluated agreement using intraclass and Spearman's correlation coefficients; established normal ranges with quantile regression.
Main Results:
- HR-IQS showed significant positive correlation and moderate-to-excellent consistency with manual CTI measurements (P <.001).
- Established normal reference ranges (2.5th-97.5th percentiles) for 17 CTIs, noting non-normal distributions (P <.001).
Conclusions:
- The HR-IQS system is feasible for automated CTI calculation in clinical practice.
- This system offers a promising tool for assessing fetal heart rhythm and function.
