| Title |
An MR-based quantitative intraventricular hemorrhage porcine model for MR-guided focused ultrasound thrombolysis
|
|---|---|
| Published in |
Child's Nervous System, May 2018
|
| DOI | 10.1007/s00381-018-3816-8 |
| Pubmed ID | |
| Authors |
Thomas Looi, Karolina Piorkowska, Charles Mougenot, Adam Waspe, Kullervo Hynynen, James Drake |
| Abstract |
Intraventricular hemorrhage (IVH) affects approximately 50% of premature births where 50% further develop post-hemorrhagic ventricular dilation (PHVD). Patients face significant impact to long-term development if PHVD is not managed. Unfortunately, there is no accepted treatment to remove the thrombus caused by IVH. This paper describes an acute and chronic IVH model for use with magnetic resonance-guided focused ultrasound (MRgFUS) thrombolysis. A total of 12 pigs (~ 1 month in age) were used in the model (eight acute and four chronic). A pre-operative brain MRI was obtained for ventricular targeting. 1.25 cm3/kg of autologous blood was injected through a burr hole lateral to the midline and anterior of the coronal suture at a rate of 0.6 cm3/min. A craniotomy was performed to simulate a "fontanelle". Post-operative MRI was used to calculate the clot volume. Chronic piglets were recovered, monitored daily with a neurological scoring system (NSS), and MRI scanned for 21 days. The clot injection was well tolerated. The average clot size was 3987 mm3 (median = 4330 mm, standard deviation = 739 mm3). Postmortem examination validated the presence of the clot. In the chronic animals, there was an increase in ventricular volume of 30%. Transient neurological impairment immediately followed clot injection and with onset of hydrocephalus in the chronic animals. This model establishes a measurable and targetable IVH clot in an MRI-based neonatal porcine model. The progressive post-hemorrhagic ventricular dilation in the chronic model is a potential alterable outcome from MRgFUS thrombolysis. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 22% |
| Researcher | 3 | 17% |
| Unspecified | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 1 | 6% |
| Other | 4 | 22% |
| Unknown | 2 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 33% |
| Unspecified | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Engineering | 2 | 11% |
| Economics, Econometrics and Finance | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 3 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 May 2018.
All research outputs
#18,632,069
of 23,081,466 outputs
Outputs from Child's Nervous System
#1,448
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Outputs of similar age
#255,311
of 330,256 outputs
Outputs of similar age from Child's Nervous System
#52
of 83 outputs
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