Accuracy of machine learning models for pre-diagnosis and diagnosis of pancreatic ductal adenocarcinoma in contrast-CT images: a systematic review and meta-analysis.

Journal: Abdominal radiology (New York)
Published Date: Dec 25, 2024

Abstract

PURPOSE: To evaluate the diagnostic ability and methodological quality of ML models in detecting Pancreatic Ductal Adenocarcinoma (PDAC) in Contrast CT images.

Authors

  • Geraldo Lucas Lopes Costa
    Federal University of Santa Catarina, Florianópolis, Brazil. gerrard_lucas@hotmail.com.
  • Guido Tasca Petroski
    Federal University of Santa Catarina, Florianópolis, Brazil.
  • Luis Guilherme Machado
    Federal University of Santa Catarina, Florianópolis, Brazil.
  • Bruno Eulalio Santos
    Federal University of Santa Catarina, Florianópolis, Brazil.
  • Fernanda de Oliveira Ramos
    Federal University of Santa Catarina, Florianópolis, Brazil.
  • Leo Max Feuerschuette Neto
    Radiology Department, Ultralitho Centro Médico, Florianópolis, Brazil.
  • Graziela de Luca Canto
    Department of Dentistry, Brazilian Centre for Evidence-Based Research, Health Sciences Center, Federal University of Santa Catarina, Rua Delfino Conti, 1240-Trindade, Florianópolis, Zip Code: 88040-535, Brazil.

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