Echocardiographic measurement of inferior vena cava diameter for estimating central venous pressure in adult Fontan patients

In adult Fontan patients, the echocardiographic classification of CVP grading using the IVC diameter may underestimate CVP, suggesting that this echocardiographic method cannot replace invasive methods in accurately assessing CVP.

Authors

Institutions

Publication Details

Journal
European Heart Journal - Imaging Methods and Practice
Published
2025-07-19
DOI
https://doi.org/10.1093/ehjimp/qyaf089
Primary Topic
Pulmonary Hypertension Research and Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Echocardiographic measurement of inferior vena cava diameter for estimating central venous pressure in adult Fontan patients

Yu Noguchi, Makoto Miyake, Kyokun Uehara, Hiraku Doi et al.
3 links
European Heart Journal - Imaging Methods and Practice
Pulmonary Hypertension Research and Treatments
article

Echocardiographic measurement of inferior vena cava diameter for estimating central venous pressure in adult Fontan patients

Yu Noguchi, Makoto Miyake, Kyokun Uehara, Hiraku Doi, Toshihiro Tamura
article en

Abstract

In adult Fontan patients, the echocardiographic classification of CVP grading using the IVC diameter may underestimate CVP, suggesting that this echocardiographic method cannot replace invasive methods in accurately assessing CVP.

European Heart Journal - Imaging Methods and PracticeVol. 3(3)
Tenri Hospital (JP)
Openalex Percentile: Top 71%
Pulmonary Hypertension Research and Treatments
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.