Evidence map›Paper›PMID 32963333›Full record

ArticleScientific reports2020

Hyperspectral evaluation of hepatic oxygenation in a model of total vs. arterial liver ischaemia.

Eric Felli, Mahdi Al-Taher, Toby Collins, Andrea Baiocchini, Emanuele Felli, Manuel Barberio, Giuseppe Maria Ettorre, Didier Mutter, Veronique Lindner, Alexandre Hostettler and 4 more

Abstract readEvaluation Study
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

14 authors.

Eric FelliInstitute of Physiology, EA3072 Mitochondria Respiration and Oxidative Stress, University of Strasbourg, Strasbourg, France. eric.felli@ihu-strasbourg.eu.
Mahdi Al-TaherIHU-Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France.
Toby CollinsSurgical Data Science Department, Research Institute Against Digestive Cancer (IRCAD), Strasbourg, France.
Andrea BaiocchiniDepartment of Pathology, San Camillo Forlanini Hospital, Rome, Italy.
Emanuele FelliDepartment of General, Digestive, and Endocrine Surgery, University Hospital of Strasbourg, Strasbourg, France.
Manuel BarberioIHU-Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France.
Giuseppe Maria EttorreDepartment of Transplantation and General Surgery, San Camillo Hospital, Rome, Italy.
Didier MutterDepartment of General, Digestive, and Endocrine Surgery, University Hospital of Strasbourg, Strasbourg, France.
Veronique LindnerDepartment of Pathology, University Hospital, Strasbourg, France.
Alexandre HostettlerSurgical Data Science Department, Research Institute Against Digestive Cancer (IRCAD), Strasbourg, France.
Sylvain GiouxICUBE Laboratory, Photonics Instrumentation for Health, University of Strasbourg, Strasbourg, France.
Catherine SchusterINSERM, Institute of Viral and Liver Disease, U1110, Strasbourg, France.
Jacques MarescauxIHU-Strasbourg, Institute of Image-Guided Surgery, Strasbourg, France.
Michele DianaInstitute of Physiology, EA3072 Mitochondria Respiration and Oxidative Stress, University of Strasbourg, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver ischaemia reperfusion injury (IRI) is a dreaded pathophysiological complication which may lead to an impaired liver function. The level of oxygen hypoperfusion affects the level of cellular damage during the reperfusion phase. Consequently, intraoperative localisation and quantification of oxygen impairment would help in the early detection of liver ischaemia. To date, there is no real-time, non-invasive, and intraoperative tool which can compute an organ oxygenation map, quantify and discriminate different types of vascular occlusions intraoperatively. Hyperspectral imaging (HSI) is a non-invasive optical methodology which can quantify tissue oxygenation and which has recently been applied to the medical field. A hyperspectral camera detects the relative reflectance of a tissue in the range of 500 to 1000 nm, allowing the quantification of organic compounds such as oxygenated and deoxygenated haemoglobin at different depths. Here, we show the first comparative study of liver oxygenation by means of HSI quantification in a model of total vascular inflow occlusion (VIO) vs. hepatic artery occlusion (HAO), correlating optical properties with capillary lactate and histopathological evaluation. We found that liver HSI could discriminate between VIO and HAO. These results were confirmed via cross-validation of HSI which detected and quantified intestinal congestion in VIO. A significant correlation between the near-infrared spectra and capillary lactate was found (r = - 0.8645, p = 0.0003 VIO, r = - 0.7113, p = 0.0120 HAO). Finally, a statistically significant negative correlation was found between the histology score and the near-infrared parameter index (NIR) (r = - 0.88, p = 0.004). We infer that HSI, by predicting capillary lactates and the histopathological score, would be a suitable non-invasive tool for intraoperative liver perfusion assessment.

Indexed as

Disease Models, AnimalAnimalsHepatic ArteryIntestinesIschemiaLiver DiseasesMaleOxygenOxygen ConsumptionPerfusion ImagingReperfusion InjurySwineOxygen

Identifiers

PMID32963333
PMCPMC7509803

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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.