Evidence map›Paper›PMID 34573869›Full record

ArticleDiagnostics (Basel, Switzerland)2021

Automatic Liver Viability Scoring with Deep Learning and Hyperspectral Imaging.

Eric Felli, Mahdi Al-Taher, Toby Collins, Richard Nkusi, Emanuele Felli, Andrea Baiocchini, Veronique Lindner, Cindy Vincent, Manuel Barberio, Bernard Geny and 8 more

Open access · goldAbstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  7. Intraoperative Hyperspectral Imaging Predicts Early Allograft Dysfunction and Overall Survival in Liver Transplantation.Annals of surgery open : perspectives of surgical history, education, and clinical approaches · 2024
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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

18 authors at 6 institutions in 4 countries.

Eric FelliHepatology, Department of Biomedical Research, Inselspital, University of Bern, 3008 Bern, Switzerland.ORCID 0000-0002-5664-6746
Mahdi Al-TaherResearch Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.
Toby CollinsResearch Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.
Richard NkusiResearch Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.ORCID 0000-0003-2556-733X
Emanuele FelliDepartment of General, Digestive, and Endocrine Surgery, University Hospital of Strasbourg, 67000 Strasbourg, France.ORCID 0000-0002-6510-1457
Andrea BaiocchiniDepartment of Pathology, San Camillo Forlanini Hospital, 00152 Rome, Italy.
Veronique LindnerDepartment of Pathology, University Hospital of Strasbourg, 67000 Strasbourg, France.ORCID 0000-0001-5140-5321
Cindy VincentIHU-Strasbourg, Institute of Image-Guided Surgery, 67000 Strasbourg, France.
Manuel BarberioDepartment of General Surgery, Cardinale Giovanni Panico Hospital, 73039 Tricase, Italy.ORCID 0000-0002-8241-6442
Bernard GenyInstitute of Physiology, EA3072 Mitochondria Respiration and Oxidative Stress, University of Strasbourg, 67000 Strasbourg, France.
Giuseppe Maria EttorreSan Camillo Forlanini Hospital, Department of Transplantation and General Surgery, 00152 Rome, Italy.
Alexandre HostettlerResearch Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.
Didier MutterDepartment of General, Digestive, and Endocrine Surgery, University Hospital of Strasbourg, 67000 Strasbourg, France.
Sylvain GiouxPhotonics Instrumentation for Health, iCube Laboratory, University of Strasbourg, 67000 Strasbourg, France.
Catherine SchusterINSERM, Institute of Viral and Liver Disease, U1110, 67000 Strasbourg, France.
Jacques MarescauxResearch Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.ORCID 0000-0002-1400-6230
Jordi Gracia-SanchoHepatology, Department of Biomedical Research, Inselspital, University of Bern, 3008 Bern, Switzerland.ORCID 0000-0001-7736-4089
Michele DianaResearch Institute against Digestive Cancer (IRCAD), 67000 Strasbourg, France.ORCID 0000-0002-1390-8486
Institut de Recherche contre les Cancers de l’Appareil Digestif · FRUniversity of Bern · CHCarlo Forlanini Hospital · ITInserm · FRInstitut de Chirurgie Guidée par l'Image · FRUniversité de Strasbourg · FR

Funding

Agence Nationale de la Recherche ANR-18-CE19-0026Fondation ARC pour la Recherche sur le Cancer ELIOS
6 · The paper itself

Abstract

Hyperspectral imaging (HSI) is a non-invasive imaging modality already applied to evaluate hepatic oxygenation and to discriminate different models of hepatic ischemia. Nevertheless, the ability of HSI to detect and predict the reperfusion damage intraoperatively was not yet assessed. Hypoxia caused by hepatic artery occlusion (HAO) in the liver brings about dreadful vascular complications known as ischemia-reperfusion injury (IRI). Here, we show the evaluation of liver viability in an HAO model with an artificial intelligence-based analysis of HSI. We have combined the potential of HSI to extract quantitative optical tissue properties with a deep learning-based model using convolutional neural networks. The artificial intelligence (AI) score of liver viability showed a significant correlation with capillary lactate from the liver surface (r = -0.78,

Indexed as

artificial intelligenceCNNsconvolutional networksdeep learninghepatic artery occlusionhyperspectral imagingliver viability

Identifiers

PMID34573869
PMCPMC8472457
OpenAlexW3195460542

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.