Evidence map›Paper›PMID 29243415›Full record

ArticleJournal of biomedical optics2017

Compact dual-mode diffuse optical system for blood perfusion monitoring in a porcine model of microvascular tissue flaps.

Seung Yup Lee, Julia M Pakela, Michael C Helton, Karthik Vishwanath, Yooree G Chung, Noah J Kolodziejski, Christopher J Stapels, Daniel R McAdams, Daniel E Fernandez, James F Christian and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

12 citing papers in PubMed, 17 citations in OpenAlex.

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  10. A Systematic Study of Vascular Distribution Characteristics and Axis Design of Various Flap Types.Medical science monitor : international medical journal of experimental and clinical research · 2019
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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

15 authors at 3 institutions in 1 country.

Seung Yup LeeUniversity of Michigan, Department of Biomedical Engineering, Ann Arbor, Michigan, United States.
Julia M PakelaUniversity of Michigan, Applied Physics Program, Ann Arbor, Michigan, United States.
Michael C HeltonUniversity of Michigan, Department of Biomedical Engineering, Ann Arbor, Michigan, United States.
Karthik VishwanathMiami University, Department of Physics, Oxford, Ohio, United States.
Yooree G ChungUniversity of Michigan, Department of Biomedical Engineering, Ann Arbor, Michigan, United States.
Noah J KolodziejskiRadiation Monitoring Devices Inc., Watertown, Massachusetts, United States.
Christopher J StapelsRadiation Monitoring Devices Inc., Watertown, Massachusetts, United States.
Daniel R McAdamsRadiation Monitoring Devices Inc., Watertown, Massachusetts, United States.
Daniel E FernandezRadiation Monitoring Devices Inc., Watertown, Massachusetts, United States.
James F ChristianRadiation Monitoring Devices Inc., Watertown, Massachusetts, United States.
Jameson O'ReillyRadiation Monitoring Devices Inc., Watertown, Massachusetts, United States.
Dana FarkasRadiation Monitoring Devices Inc., Watertown, Massachusetts, United States.
Brent B WardUniversity of Michigan, Department of Oral and Maxillofacial Surgery, Ann Arbor, Michigan, United States.
Stephen E FeinbergUniversity of Michigan, Department of Oral and Maxillofacial Surgery, Ann Arbor, Michigan, United States.
Mary-Ann MycekUniversity of Michigan, Department of Biomedical Engineering, Ann Arbor, Michigan, United States.
University of Michigan–Ann Arbor · USRadiation Monitoring Devices (United States) · USMiami University · US

Funding

Optical Surgical Probe for Assessing Human Oral Mucosa Graft VascularizationR44DE021935 · NIDCR · RADIATION MONITORING DEVICES, INC. · PI CHRISTIAN, JAMES F · 2014 to 2015
$1.3M
Optical Surgical Probe for Assessing Human Oral Mucosa Graft VascularizationR43DE021935 · NIDCR · RADIATION MONITORING DEVICES, INC. · PI WOLF, DAVID E. · 2011 to 2011
$197k
NIDCR NIH HHS R44 DE021935
6 · The paper itself

Abstract

In reconstructive surgery, the ability to detect blood flow interruptions to grafted tissue represents a critical step in preventing postsurgical complications. We have developed and pilot tested a compact, fiber-based device that combines two complimentary modalities-diffuse correlation spectroscopy (DCS) and diffuse reflectance spectroscopy-to quantitatively monitor blood perfusion. We present a proof-of-concept study on an in vivo porcine model (n=8). With a controllable arterial blood flow supply, occlusion studies (n=4) were performed on surgically isolated free flaps while the device simultaneously monitored blood flow through the supplying artery as well as flap perfusion from three orientations: the distal side of the flap and two transdermal channels. Further studies featuring long-term monitoring, arterial failure simulations, and venous failure simulations were performed on flaps that had undergone an anastomosis procedure (n=4). Additionally, benchtop verification of the DCS system was performed on liquid flow phantoms. Data revealed relationships between diffuse optical measures and state of occlusion as well as the ability to detect arterial and venous compromise. The compact construction of the device, along with its noninvasive and quantitative nature, would make this technology suitable for clinical translation.

Indexed as

Optical DevicesAnastomosis, SurgicalAnimalsArteriesFree Tissue FlapsHemodynamic MonitoringSwineVeinsblood flowblood perfusiondiffuse correlation spectroscopydiffuse reflectance spectroscopyfree tissue flapporcine model

Identifiers

PMID29243415
PMCPMC5729962
OpenAlexW2773855584

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.