Prenatal sonographic three-dimensional virtual organ computer-assisted analysis thymic volume calculation may predict intrauterine growth restriction

Dogan Z., GÜVENDAĞ GÜVEN E. S., ALBAYRAK M., GÜVEN S.

Journal of Medical Ultrasound, cilt.31, sa.3, ss.201-205, 2023 (ESCI) identifier identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 31 Sayı: 3
  • Basım Tarihi: 2023
  • Doi Numarası: 10.4103/jmu.jmu_34_22
  • Dergi Adı: Journal of Medical Ultrasound
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus, Biotechnology Research Abstracts, Directory of Open Access Journals
  • Sayfa Sayıları: ss.201-205
  • Anahtar Kelimeler: Fetal thymus volume, intrauterine growth restriction, screening, second trimester, virtual organ computer-assisted analysis
  • Karadeniz Teknik Üniversitesi Adresli: Evet

Özet

Background: Intrauterine growth restriction (IUGR) refers to fetuses that are small for their gestational age. There is no effective test to predict this disease. The aim of our study is whether fetal three-dimensional (3D) ultrasonography (USG)-assisted thymus volume (TV) measurement predicts IUGR cases. Methods: Fetal 3D USG thymus measurement between 15 and 24 weeks of gestation was performed in a total of 100 women of reproductive age. Fetal TV was measured using the virtual organ computer-assisted analysis system program. All cases were followed up in terms of pregnancy complications until delivery. Results: IUGR was developed in six cases in total. In cases with IUGR, mean fetal TV was found to be statistically significantly lower than in healthy cases without it. When the fetal TV was taken as 0.1645, the sensitivity was calculated as 89.5% and the specificity as 50% for predicting IUGR. The use of low fetal volume parameters is a significant and good indicator for predicting IUGR according to the binary logistic regression analysis result. Conclusion: According to the results of this study, 3D fetal TV measurement may be used in routine second-trimester sonographic anomaly screening to predict the development of fetal IUGR. In this way, fetal mortality and morbidity caused by IUGR may be reduced.