Measurement of Indocyanine Green as a Predictor of Liver Failure After Hepatic Resection, Contributing to Risk Stratification in Personalized Medicine

<b>Background</b>: Most of the advances in liver surgery have been achieved in the last few decades. The development of new diagnostic and therapeutic techniques has aided diagnosis and has facilitated more efficient and personalized resections for liver disorders. The estimation of the hepatic reserve has gained great importance because it marks the limit for more aggressive liver resections. It was hypothesized that determination of hepatic reserve by measuring plasma clearance of indocyanine green-following hepatic parenchymal liver resection-could provide earlier and more accurate knowledge of hepatic reserve and thus allow for more personalized therapy. <b>Methods</b>: A prospective observational post-authorization study was performed. <b>Results</b>: Applying ROC curves and the area under the curve (AUC) for the evaluation of the different tests as predictors of liver failure, favorable data were obtained in relation to bilirubin (AUC = 0.922) and prothrombin time (AUC = 1), and for postoperative PDR (AUC = 0.879) and GOT (AUC = 0.857), but not for preoperative PDR (AUC = 0.667) or GPT (AUC = 0.6). <b>Conclusions</b>: The gold standard for predicting early liver failure (the 50:50 criterion at on postoperative day 5) has a very good relationship with the plasma clearance rate of indocyanine green on postoperative day 1 and therefore has the potential to support earlier and more personalized therapeutic interventions, pending further validation.

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Publication Details

Journal
Journal of Personalized Medicine
Published
2025-10-13
DOI
https://doi.org/10.3390/jpm15100488
Primary Topic
Liver Disease Diagnosis and Treatment
Type
article
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article

Measurement of Indocyanine Green as a Predictor of Liver Failure After Hepatic Resection, Contributing to Risk Stratification in Personalized Medicine

María del Carmen Gasco García, David Padilla, Francisco Javier Redondo Calvo, Rubén Villazala González et al.
Journal of Personalized Medicine
Liver Disease Diagnosis and Treatment
article

Measurement of Indocyanine Green as a Predictor of Liver Failure After Hepatic Resection, Contributing to Risk Stratification in Personalized Medicine

María del Carmen Gasco García, David Padilla, Francisco Javier Redondo Calvo, Rubén Villazala González, Natalia Bejarano Ramírez, Pedro Villarejo‐Campos, Pablo Vadillo Martín, Mireia Mora, Víctor Baladrón González, Óscar R. Blanco-Herrera
article en

Abstract

<b>Background</b>: Most of the advances in liver surgery have been achieved in the last few decades. The development of new diagnostic and therapeutic techniques has aided diagnosis and has facilitated more efficient and personalized resections for liver disorders. The estimation of the hepatic reserve has gained great importance because it marks the limit for more aggressive liver resections. It was hypothesized that determination of hepatic reserve by measuring plasma clearance of indocyanine green-following hepatic parenchymal liver resection-could provide earlier and more accurate knowledge of hepatic reserve and thus allow for more personalized therapy. <b>Methods</b>: A prospective observational post-authorization study was performed. <b>Results</b>: Applying ROC curves and the area under the curve (AUC) for the evaluation of the different tests as predictors of liver failure, favorable data were obtained in relation to bilirubin (AUC = 0.922) and prothrombin time (AUC = 1), and for postoperative PDR (AUC = 0.879) and GOT (AUC = 0.857), but not for preoperative PDR (AUC = 0.667) or GPT (AUC = 0.6). <b>Conclusions</b>: The gold standard for predicting early liver failure (the 50:50 criterion at on postoperative day 5) has a very good relationship with the plasma clearance rate of indocyanine green on postoperative day 1 and therefore has the potential to support earlier and more personalized therapeutic interventions, pending further validation.

Journal of Personalized MedicineVol. 15(10)
Universidad Complutense de Madrid (ES), Hospital General Universitario de Ciudad Real (ES), Hospital Universitario Fundación Jiménez Díaz (ES), University of Castilla-La Mancha (ES)
Openalex Percentile: Top 61%
Liver Disease Diagnosis and Treatment
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