Prediction of Whole Liver Graft Weight Based on Biometric Variables in Paediatric and Adult Liver Donors

Bibliographic Data

ID15714010
AuthorsMaria Kuksin (0000-0001-8244-346X, Université Paris-Saclay), Valeska Bidault Jourdainne (Hospices Civils de Lyon), Guillaume Rossignol (0000-0002-9896-4144, Hospices Civils de Lyon), Philippe Aegerter (0000-0002-9156-5028, Inserm), Géraldine Hery (Department of Paediatric Surgery, Assistance Publique—Hôpitaux de Paris, Université Paris-Saclay, Bicêtre Hospital, 78 Rue du Général Leclerc, 94270 Le Kremlin Bicêtre, France), Jean‐Paul Teglas (Université Paris-Saclay), Jean-Paul Teglas (Department of Clinical Research, Assistance Publique—Hôpitaux de Paris, Université Paris-Saclay, Bicêtre Hospital, 78 Rue du Général Leclerc, 94270 Le Kremlin Bicêtre, France), Virginie Fouquet (Université Paris-Saclay), Sophie Branchereau (Université Paris-Saclay), Florent Guérin (0000-0002-3487-3745, Université Paris-Saclay, corresponding author)
Year2024
Volume11
Issue10
Pages1248-1248
Publication date2024-10-16
Open AccessYes
TypeARTICLE
VenueChildren (JOURNAL)
Journal identifiersISSN: 2227-9067 • E-ISSN: 2227-9067
PublisherMultidisciplinary Digital Publishing Institute (PUBLISHER • CH)
DOI10.3390/children11101248
PMID39457213
OpenAlexW4403451699
LanguageEN
References cited11

In clinical practise, our models could provide rapidly accessible estimates to determine whole graft dimension compatibility in liver transplantation in children and adults. Determining similar models predicting the left lobe and lateral segment weight could prove invaluable in paediatric transplantation

Biometrics · Liver transplantation · Computer Science · Liver Disease and Transplantation · Liver Disease Diagnosis and Treatment · Medicine · Organ Transplantation Techniques and Outcomes · Artificial Intelligence · Internal Medicine · Transplantation

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