Performance of Fetal Cardiac Volume Derived from VOCAL (Virtual Organ Computer-Aided AnaLysis) in Predicting

Keooudone Thammavong1, Suchaya Luewan1, Theera Tongsong1

  • 1Department of Obstetrics and Gynecology, Faculty of Medicine, Chiang Mai University, Chiang Mai 50200, Thailand.

Insights

Fetal cardiac volume (CV) effectively detects Hb Bart's disease in at-risk fetuses. This method shows high performance, outperforming middle cerebral artery peak systolic velocity (MCA-PSV) and comparable to cardiothoracic diameter ratio (CTR).

Area of Science:

  • Perinatology
  • Fetal Medicine
  • Diagnostic Imaging

Background:

  • Hemoglobin Bart's disease is a severe anemia affecting fetuses.
  • Early detection is crucial for management and intervention.
  • Existing diagnostic methods have limitations in accuracy and timing.

Purpose of the Study:

  • To evaluate fetal cardiac volume (CV) for detecting Hb Bart's disease.
  • To compare CV performance with cardiothoracic diameter ratio (CTR) and MCA-PSV.
  • To assess diagnostic accuracy at 18-22 weeks gestation.

Main Methods:

  • Prospective echocardiography using 4D-cardiac STIC in fetuses at risk.
  • Offline analysis of fetal heart volume datasets using VOCAL technique.
  • Blind measurement of CV, CTR, and MCA-PSV for comparison.

Main Results:

  • 502 fetuses analyzed; 117 with Hb Bart's disease.
  • CV achieved 94.9% sensitivity and 94.0% specificity.
  • Area under the curve for CV was 0.988, superior to MCA-PSV (0.862) and comparable to CTR (0.974).

Conclusions:

  • Fetal CV is a highly effective predictor of Hb Bart's disease in mid-pregnancy.
  • CV performance is superior to MCA-PSV and comparable to CTR.
  • This technique offers a valuable tool for early diagnosis in at-risk pregnancies.
Abstract