Machine learning analysis of contrast-enhanced ultrasound (CEUS) for the diagnosis of acute graft dysfunction in kidney transplant recipients.

Journal: Medical ultrasonography
PMID:

Abstract

AIM: The aim of the study was to develop machine learning algorithms (MLA) for diagnosing acute graft dysfunction (AGD) in kidney transplant recipients based on contrast-enhanced ultrasound (CEUS) analysis of the graft.Materials and methods: This prospective study involved 71 patients with kidney transplant undergoing CEUS during follow-up. AGD wasdefined as an increase in serum creatinine levels of at least 25% compared to the baseline of the last three months. The control group consisted of patients with stable kidney graft function (SGF). The top five CEUS parameters that achieved the best discrimination between the AGD and SGF groups were selected based on ANOVA testing and then employed as input for training MLA (naïve Bayes (NB), k-nearest neighbors (k-NN), and logistic regression (LR)). The models were validated by leave-one-out cross-validation.

Authors

  • Tudor Moisoiu
    Clinical Institute of Urology and Renal Transplantation "Iuliu Hațieganu" University of Medicine and Pharmacy, Biomed Data Analytics SRL, Cluj-Napoca.
  • Alina Daciana Elec
    Clinical Institute of Urology and Renal Transplantation, Cluj-Napoca.
  • Adriana Milena Muntean
    Clinical Institute of Urology and Renal Transplantation, Cluj-Napoca.
  • Alexandru Florin Badea
    Anatomy and Embryology, Faculty of General Medicine, "Iuliu Hatieganu" University of Medicine and Pharmacy, 400006 Cluj-Napoca, Romania.
  • Anca Budusan
    Children's Clinical Emergency Hospital, "Iuliu Hațieganu" University of Medicine and Pharmacy Cluj-Napoca.
  • Bogdan Stancu
    Second Surgical Department, Cluj County Emergency Clinical Hospital, "Iuliu Hațieganu" University of Medicine and Pharmacy Cluj-Napoca.
  • Gheorghiță Iacob
    Clinical Institute of Urology and Renal Transplantation, Cluj-Napoca.
  • Antal Oana
    Clinical Institute of Urology and Renal Transplantation, "Iuliu Hațieganu" University of Medicine and Pharmacy Cluj-Napoca.
  • Alexandra Andries
    Department of Radiology, "Ion Chiricuta" Oncology Institute, Cluj-Napoca.
  • Razvan Zaro
    Department of Gastroenterology, Clinical Hospital of Infectious Diseases, Cluj-Napoca.
  • Mihai A Socaciu
    "Octavian Fodor" Regional Institute of Gastroenterology and Hepatology, "Iuliu Hațieganu" University of Medicine and Pharmacy Cluj-Napoca.
  • Radu Ion Badea
    "Octavian Fodor" Regional Institute of Gastroenterology and Hepatology, "Iuliu Hațieganu" University of Medicine and Pharmacy Cluj-Napoca. rbadea@umfcluj.ro.
  • Gabriel C Oniscu
    Division of Transplantation, CLINTEC, Karolinska Institutet, Stockholm.
  • Florin Ioan Elec
    Clinical Institute of Urology and Renal Transplantation, "Iuliu Hațieganu" University of Medicine and Pharmacy Cluj-Napoca.