Indocyanine green fluorescence for intraoperative detection of liver tumours in minimally invasive surgery: protocol for the LIVERGREEN phase IV multicentre clinical trial

dc.contributor.authorHuerta, Martín
dc.contributor.authorLópez Ben, Santiago
dc.contributor.authorLladó Garriga, Laura
dc.contributor.authorSánchez Cabús, Santiago
dc.contributor.authorMils, Kristel
dc.contributor.authorMolina, Víctor
dc.contributor.authorDopazo, Cristina
dc.contributor.authorVidal, Laura
dc.contributor.authorDalmau, Mar
dc.contributor.authorCaralt, Mireia
dc.contributor.authorRosón, Núria
dc.contributor.authorMerino, Xavier
dc.contributor.authorArmario, David
dc.contributor.authorSalcedo Allende, María Teresa
dc.contributor.authorPellino, Gianluca
dc.contributor.authorSapisochin, Gonzalo
dc.contributor.authorGómez Gavara, Concepción
dc.contributor.authorPérez, Núria
dc.contributor.authorRoig, Anna
dc.contributor.authorSanjuan, Anna
dc.contributor.authorPérez, Santiago
dc.contributor.authorSánchez Maroto, Olga
dc.contributor.authorDelgado, Esther
dc.contributor.authorCabau, Claudia
dc.contributor.authorVillasante, Sara
dc.contributor.authorGaliana, Carmen
dc.contributor.authorHerms, Daniel
dc.contributor.authorValencia, Sebastián
dc.contributor.authorCañete, Marta
dc.contributor.authorGarcía, Oliver
dc.contributor.authorBarrios, Oriana
dc.contributor.authorVila, Marina
dc.contributor.authorLeiva Ureña, David
dc.contributor.authorLayreda, Karen
dc.date.accessioned2026-07-08T13:47:25Z
dc.date.available2026-07-08T13:47:25Z
dc.date.issued2026-04-16
dc.date.updated2026-07-08T13:47:26Z
dc.description.abstractIntroduction: Liver tumours are a leading cause of global morbidity and mortality. Current diagnostic tools, including computed tomography (CT), magnetic resonance imaging (MRI) and intraoperative ultrasound (IOUS), have limitations in detecting liver neoplasms. Indocyanine green (ICG) has emerged as a promising tool for improving liver tumour detection. This study aims to assess the impact of preoperative ICG on intraoperative tumour detection in minimally invasive surgery and develop a machine-learning algorithm to enhance tumour detection using ICG fluorescence. Methods and analysis: This prospective, multicentre, phase IV clinical trial adheres to Standard Protocol Items: Recommendations for Interventional Trials (SPIRIT) guidelines. Patients with liver tumours eligible for minimally invasive surgery and a preoperative imaging test will be included. ICG will be administered intravenously 24 hours before surgery. Intraoperative procedures will include IOUS, ICG mapping and photographic documentation. Patients will be followed for 90 days to assess tumour progression, morbidity and mortality. The photographic analysis will enable the development of an artificial intelligence algorithm using machine learning and neural networks to identify lesions based on ICG fluorescence. The estimated sample size is 173 patients and the trial is predicted to accrue in 3 years. Ethics and dissemination: The trial will be conducted in accordance with the Declaration of Helsinki and the Spanish Agency of Medicines and Medical Devices (AEMPS) guidelines. Approved by the local institutional Ethics Committee and the AEMPS, the results will be shared with the scientific community through publications and conferences.
dc.format.extent7 p.
dc.format.mimetypeapplication/pdf
dc.identifier.idgrec770887
dc.identifier.issn2044-6055
dc.identifier.pmid41991264
dc.identifier.urihttps://hdl.handle.net/2445/230559
dc.language.isoeng
dc.publisherBMJ Publishing Group
dc.relation.isformatofReproducció del document publicat a: https://doi.org/10.1136/bmjopen-2026-118275
dc.relation.ispartofBMJ Open, 2026, vol. 16, num.4
dc.relation.urihttps://doi.org/10.1136/bmjopen-2026-118275
dc.rightscc-by-nc (c) Huerta, M. et al., 2026
dc.rights.accessRightsinfo:eu-repo/semantics/openAccess
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/
dc.sourceArticles publicats en revistes (Ciències Clíniques)
dc.subject.classificationAprenentatge automàtic
dc.subject.classificationCàncer de fetge
dc.subject.otherMachine learning
dc.subject.otherLiver cancer
dc.titleIndocyanine green fluorescence for intraoperative detection of liver tumours in minimally invasive surgery: protocol for the LIVERGREEN phase IV multicentre clinical trial
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion

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