Evidence map›Paper›PMID 37090123›Full record

ArticleTransplantation direct2023

Using Laser Speckle Contrast Imaging to Quantify Perfusion Quality in Kidney and Pancreas Grafts on Vascular Reperfusion: A Proof-of-Principle Study.

Jeevan Prakash Gopal, Osborne Vaz, Rebecca Varley, Harry Spiers, Matthew A Goldsworthy, Vishwanath Siddagangaiah, Brian Lock, Videha Sharma, Angela Summers, Zia Moinuddin and 2 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Transplantation direct, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04202237 (Using the Speckle Doppler to Quantify Perfusion Quality in Kidney and Pancreas Grafts on Vascular Reperfusion), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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.

NCT04202237 completednot on this map

Using the Speckle Doppler to Quantify Perfusion Quality in Kidney and Pancreas Grafts on Vascular Reperfusion

TypeobservationalSponsorManchester University NHS Foundation TrustRan2019 to 2021Enrolled8ConditionsKidney Transplant Failure and RejectionArmsSpeckle Doppler imaging, Blood sample
3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

12 authors at 3 institutions in 1 country.

Jeevan Prakash GopalDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Osborne VazDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Rebecca VarleyDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Harry SpiersDepartment of Transplantation, Addenbrooke's Hospital, Cambridge University Hospitals NHS Foundation Trust, Cambridge, United Kingdom.
Matthew A GoldsworthyDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Vishwanath SiddagangaiahDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Brian LockMoor Instruments Ltd, Axminster, United Kingdom.
Videha SharmaDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Angela SummersDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Zia MoinuddinDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
David van DellenDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Titus AugustineDepartment of Renal and Pancreas Transplantation, Manchester University Hospitals NHS Foundation Trust, Manchester Royal Infirmary, Manchester, United Kingdom.
Lancashire Teaching Hospitals NHS Foundation Trust · GBMoor Instruments (United Kingdom) · GBUniversity of Cambridge · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The accuracy of intraoperative graft perfusion assessment still remains subjective, with doppler examination being the only objective adjunct. Laser speckle contrast imaging (LSCI) has been used to assess intraoperative blood flow in neurosurgery and in various surgical specialties. Despite its ability to accurately quantify perfusion at the microvascular level, it has not been clinically evaluated in kidney/kidney-pancreas transplantation for perfusion characterization. We aimed to evaluate the utility of LSCI and identify objective parameters that can be quantified at reperfusion. Methods: This study was registered in ClinicalTrials.gov (NCT04202237). The Moor FLPI-2 blood flow imager was used in 4 patients (1 Simultaneous Pancreas and Kidney, 2 deceased, and 1 living donor kidney transplants) during reperfusion to capture reperfusion data. The following parameters were measured: flux (average speed × concentration of moving red blood cells in the sample volume), doppler centroid, total and valid pixels, valid rate, and total and valid area. Flux data were analyzed with Moor FLPI analysis software. Results: The perfusion characteristics and flux images correlated with initial graft function. Conclusions: LSCI is a safe, noncontact imaging modality that provides real-time, accurate, high-resolution, full field blood flow images and a wide range of flux data to objectively quantify organ reperfusion intraoperatively in kidney/kidney-pancreas transplantation. This modality could be used to develop a robust numerical quantification system for the evaluation and reporting of intraoperative organ perfusion, and aid intraoperative decision-making. Perfusion data could be combined with biomarkers and immunological parameters to more accurately predict graft outcomes.

Identifiers

PMID37090123
PMCPMC10118345
OpenAlexW4366495484

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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.