Carolin Marchand
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Research Interests
Carolin Marchand has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Arrigo Fruscalzo
Department of Obstetrics and Gynecology, HFR—Hòpital Fribourgeois, Chemin des Pensionnats 2-6, 1708 Fribourg, Switzerland
1 shared publication - Helen Ann Köster
Department of Obstetrics and Gynecology, University Hospital Münster, 48149 Münster, Germany
1 shared publication - Jeanette Köppe
University of Muenster, Institute of Biostatistics and Clinical Research, Muenster, Germany
1 shared publication - Johannes Steinhard
Fetal Cardiology, Heart and Diabetes Center NRW, Ruhr-University Bochum, Bad Oeynhausen, Germany
1 shared publication - Karol Kubiak
Department of Obstetrics and Gynecology, St. Franziskus-Hospital, 48145 Münster, Germany
1 shared publication - Kathrin Oelmeier
Department of Gynecology and Obstetrics, University Hospital Münster, Münster, Germany
1 shared publication
Latest Publications
- Open Access
- 11 July 2022
- Published by MDPI AG in Journal of Personalized Medicine
- Vol. 12 (7) , 1125
Fetal Growth Restriction: Comparison of Biometric Parameters
The aim of this study was to identify growth-restricted fetuses using biometric parameters and to assess the validity and clinical value of individual ultrasound parameters and ratios, such as transcerebellar diameter/abdominal circumference (TCD/AC), head circumference/abdominal circumference (HC/AC), and femur length/abdominal circumference (FL/AC). In a retrospective single-center cross-sectional study, the biometric data of 9292 pregnancies between the 15th and 42nd weeks of gestation were acquired. Statistical analysis included descriptive data, quantile regression estimating the 10th and 90th percentiles, and multivariable analysis. We obtained clinically noticeable results in predicting small-for-gestational-age (SGA) and fetal growth restriction (FGR) fetuses at advanced weeks of gestation using the AC with a Youden index of 0.81 and 0.96, respectively. The other individual parameters and quotients were less suited to identifying cases of SGA and FGR. The multivariable analysis demonstrated the best results for identifying SGA and FGR fetuses with an area under the curve of 0.95 and 0.96, respectively. The individual ultrasound parameters were better suited to identifying SGA and FGR than the ratios. Amongst these, the AC was the most promising individual parameter, especially at advanced weeks of gestation. However, the highest accuracy was achieved with a multivariable model.
- 11 July 2022
- Published by MDPI AG in Journal of Personalized Medicine
- Vol. 12 (7) , 1125
Open AccessFetal Growth Restriction: Comparison of Biometric Parameters
The aim of this study was to identify growth-restricted fetuses using biometric parameters and to assess the validity and clinical value of individual ultrasound parameters and ratios, such as transcerebellar diameter/abdominal circumference (TCD/AC), head circumference/abdominal circumference (HC/AC), and femur length/abdominal circumference (FL/AC). In a retrospective single-center cross-sectional study, the biometric data of 9292 pregnancies between the 15th and 42nd weeks of gestation were acquired. Statistical analysis included descriptive data, quantile regression estimating the 10th and 90th percentiles, and multivariable analysis. We obtained clinically noticeable results in predicting small-for-gestational-age (SGA) and fetal growth restriction (FGR) fetuses at advanced weeks of gestation using the AC with a Youden index of 0.81 and 0.96, respectively. The other individual parameters and quotients were less suited to identifying cases of SGA and FGR. The multivariable analysis demonstrated the best results for identifying SGA and FGR fetuses with an area under the curve of 0.95 and 0.96, respectively. The individual ultrasound parameters were better suited to identifying SGA and FGR than the ratios. Amongst these, the AC was the most promising individual parameter, especially at advanced weeks of gestation. However, the highest accuracy was achieved with a multivariable model.