Evidence map›Paper›PMID 25590561›Full record

ArticleJournal of visualized experiments : JoVE2015

Assessment of viability of human fat injection into nude mice with micro-computed tomography.

David A Atashroo, Kevin J Paik, Michael T Chung, Adrian McArdle, Kshemendra Senarath-Yapa, Elizabeth R Zielins, Ruth Tevlin, Christopher R Duldulao, Graham G Walmsley, Taylor Wearda and 3 more

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 2 countries.

David A AtashrooHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Kevin J PaikHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Michael T ChungHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Adrian McArdleHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Kshemendra Senarath-YapaHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Elizabeth R ZielinsHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Ruth TevlinHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Christopher R DuldulaoHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Graham G WalmsleyHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Taylor WeardaHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Owen MarecicHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine.
Michael T LongakerHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine.
Derrick C WanHagey Laboratory for Pediatric Regenerative Medicine, Department of Surgery, Plastic and Reconstructive Surgery Division, Stanford University School of Medicine; Institute for Stem Cell Biology and Regenerative Medicine, Stanford University School of Medicine; dwan@stanford.edu.
Stanford University · USInstitute for Stem Cell Biology and Regenerative Medicine · IN

Funding

Induced pluripotent stem cells in the understanding and treatment of heart diseaseU01HL099776 · NHLBI · STANFORD UNIVERSITY · PI LONGAKER, MICHAEL T, WU, JOSEPH C. · 2009 to 2015
$8.2M
Osteogenic Enrichment of Adipose Derived Stromal CellsR01DE021683 · NIDCR · STANFORD UNIVERSITY · PI GURTNER, GEOFFREY C, LONGAKER, MICHAEL T · 2012 to 2016
$2.0M
Regional differences in neural crest and mesodermal derived calvarial bone healinR01DE019434 · NIDCR · STANFORD UNIVERSITY · PI LONGAKER, MICHAEL T · 2010 to 2013
$1.5M
Enhanced Calvarial Regeneration Via RNAi-Mediated Suppression of BMP AntagonismR21DE019274 · NIDCR · STANFORD UNIVERSITY · PI LONGAKER, MICHAEL T · 2008 to 2009
$768k
NHLBI NIH HHS U01HL099776NIDCR NIH HHS R01DE019434NIDCR NIH HHS R01DE021683NIDCR NIH HHS R21DE019274
6 · The paper itself

Abstract

Lipotransfer is a vital tool in the surgeon's armamentarium for the treatment of soft tissue deficits of throughout the body. Fat is the ideal soft tissue filler as it is readily available, easily obtained, inexpensive, and inherently biocompatible.(1) However, despite its burgeoning popularity, fat grafting is hampered by unpredictable results and variable graft survival, with published retention rates ranging anywhere from 10-80%. (1-3) To facilitate investigations on fat grafting, we have therefore developed an animal model that allows for real-time analysis of injected fat volume retention. Briefly, a small cut is made in the scalp of a CD-1 nude mouse and 200-400 µl of processed lipoaspirate is placed over the skull. The scalp is chosen as the recipient site because of its absence of native subcutaneous fat, and because of the excellent background contrast provided by the calvarium, which aids in the analysis process. Micro-computed tomography (micro-CT) is used to scan the graft at baseline and every two weeks thereafter. The CT images are reconstructed, and an imaging software is used to quantify graft volumes. Traditionally, techniques to assess fat graft volume have necessitated euthanizing the study animal to provide just a single assessment of graft weight and volume by physical measurement ex vivo. Biochemical and histological comparisons have likewise required the study animal to be euthanized. This described imaging technique offers the advantage of visualizing and objectively quantifying volume at multiple time points after initial grafting without having to sacrifice the study animal. The technique is limited by the size of the graft able to be injected as larger grafts risk skin and fat necrosis. This method has utility for all studies evaluating fat graft viability and volume retention. It is particularly well-suited to providing a visual representation of fat grafts and following changes in volume over time.

Indexed as

Adipose TissueAnimalsFemaleGraft SurvivalHumansMiceMice, NudeModels, AnimalTransplantation, HeterologousX-Ray Microtomography

Identifiers

PMID25590561
PMCPMC4354500
OpenAlexW2042190016

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.