| Literature DB >> 27167187 |
Jean-Paul Belgrado1,2,3, Liesbeth Vandermeeren1,2,4, Sophie Vankerckhove1,2, Jean-Baptiste Valsamis1,2,3, Julie Malloizel-Delaunay5, Jean-Jacques Moraine1,6, Fabienne Liebens2,7.
Abstract
BACKGROUND: There are very little scientific data on occlusion pressure for superficial lymphatic collectors. Given its importance in determining the transport capacity of lymphatic vessels, it is crucial to know its value. The novel method of near-infrared fluorescence lymphatic imaging (NIRFLI) can be used to visualize lymphatic flow in real time. The goal of this study was to see if this method could be used to measure the lymphatic occlusion pressure.Entities:
Mesh:
Year: 2016 PMID: 27167187 PMCID: PMC4926199 DOI: 10.1089/lrb.2015.0040
Source DB: PubMed Journal: Lymphat Res Biol ISSN: 1539-6851 Impact factor: 2.589

NIRFLI of the superficial lymphatic network and its schematic architecture. (A) In a normal condition, the lymph flows through the superficial collectors. (B) In a lymphedematous situation, the lymph is rerouted through the initial lymphatic network. Note: The schematic architecture of the superficial lymphatic network is adapted from Földi et al.[36] with written permission.
Disaggregated Data: Individual Values of Superficial Lymphatic Occlusion Pressure
| 1 | R | 36 | F | 80 |
| 2 | L | 26 | M | 80 |
| 3 | L | 24 | M | 80 |
| 4 | R | 50 | F | 80 |
| 5 | R | 50 | M | 90 |
| 6 | R | 25 | F | 80 |
| 7 | L | 26 | M | 90 |
| 8 | L | 23 | M | 90 |
| 9 | R | 26 | F | 80 |
| 10 | R | 24 | F | 80 |
| 11 | R | 32 | F | 80 |
| 12 | R | 31 | F | 90 |
| 13 | L | 43 | M | 90 |
| 14 | R | 52 | F | 90 |
| 15 | L | 39 | F | 80 |
| 16 | R | 38 | M | 90 |
| 17 | R | 45 | F | 80 |
| 18 | L | 51 | F | 80 |
| 19 | L | 62 | F | 90 |
| 20 | R | 51 | F | 100 |
| 21 | R | 53 | F | 100 |
| 22 | L | 57 | M | 90 |
| 23 | L | 40 | M | 80 |
| 24 | L | 78 | F | 80 |
| 25 | R | 40 | F | 90 |
| 26 | R | 50 | F | 90 |
| 27 | L | 52 | M | 100 |
| 28 | L | 50 | M | 90 |
| 29 | R | 50 | F | 80 |
| 30 | R | 59 | F | 80 |
Aggregated Data: Descriptive Statistics
| n | 30 | 13 | 17 | 19 | 11 | ||
| Mean | 43 | 86.00 | |||||
| SD | 14 | 6.75 |
Data Repartition Among Gender, Side, and Age[*]
| p | ||||
|---|---|---|---|---|
| Gender | Female | 19 | 63.3 | 0.12 |
| Male | 11 | 36.7 | ||
| Side | Left | 13 | 43.3 | 0.853 |
| Right | 17 | 56.7 | ||
| Age | 21–34 | 9 | 30.0 | 0.188 |
| 35–49 | 7 | 23.3 | ||
| >50 | 14 | 46.7 |
The p-values result from Wilcoxon rank sum test (gender and side) and Kruskal-Wallis (age). No significant differences have been observed.