MCA-PSV Determination in Fetal Anemia

Background: Middle cerebral artery peak systolic velocity (MCA-PSV) measurements are spectral Doppler waveforms determined from the middle cerebral artery, indicating the blood flow velocity within these vessels. MCA-PSV values were correlated to hemoglobin (Hb) concentration/deficit, all as a function of gestational age (GA) and the observed inverse relationship between MCA-PSV values and Hb concentration inferred a significant role in assessing fetal anemia, particularly in the context of Rhesus disease. MCA-PSV values were previously investigated and identified as a non- invasive tool for assessing fetal anemia. The objective of the study id to compare the methodology and results from the two major studies concerning their MCA-PSV curves. Method: The data from the two studies were reviewed for sample size and composition, demographic information, statistical-methods and significance and analyzed using computer software microsoft excel 2003 and graph version 4.4.2 (Build 543) for graphical representation. Results: The two studies appear to be similar in many respects. Both exhibited comparable MCA-PSV values across the same range of gestational ages, with average curves displaying the calculated arithmetical mean MCA-PSV value for two given curves. Two average curves were created. Improved linear slopes, with lower gradients for a linear model were suggested, indicating better detection of fetuses with mild anemia. Conclusion: The equations provided below can be integrated into ultrasound software packages to improve diagnostic capabilities.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-07
DOI
https://doi.org/10.5281/zenodo.13897606
Primary Topic
Blood groups and transfusion
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MCA-PSV Determination in Fetal Anemia

Zenodo (CERN European Organization for Nuclear Research)
Blood groups and transfusion
article

MCA-PSV Determination in Fetal Anemia

article en

Abstract

Background: Middle cerebral artery peak systolic velocity (MCA-PSV) measurements are spectral Doppler waveforms determined from the middle cerebral artery, indicating the blood flow velocity within these vessels. MCA-PSV values were correlated to hemoglobin (Hb) concentration/deficit, all as a function of gestational age (GA) and the observed inverse relationship between MCA-PSV values and Hb concentration inferred a significant role in assessing fetal anemia, particularly in the context of Rhesus disease. MCA-PSV values were previously investigated and identified as a non- invasive tool for assessing fetal anemia. The objective of the study id to compare the methodology and results from the two major studies concerning their MCA-PSV curves. Method: The data from the two studies were reviewed for sample size and composition, demographic information, statistical-methods and significance and analyzed using computer software microsoft excel 2003 and graph version 4.4.2 (Build 543) for graphical representation. Results: The two studies appear to be similar in many respects. Both exhibited comparable MCA-PSV values across the same range of gestational ages, with average curves displaying the calculated arithmetical mean MCA-PSV value for two given curves. Two average curves were created. Improved linear slopes, with lower gradients for a linear model were suggested, indicating better detection of fetuses with mild anemia. Conclusion: The equations provided below can be integrated into ultrasound software packages to improve diagnostic capabilities.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 52%
Blood groups and transfusion
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.