Evaluating the accuracy of lung-RADS score extraction from radiology reports: Manual entry versus natural language processing.

Journal: International journal of medical informatics
Published Date: Jul 31, 2024

Abstract

INTRODUCTION: Radiology scoring systems are critical to the success of lung cancer screening (LCS) programs, impacting patient care, adherence to follow-up, data management and reporting, and program evaluation. LungCT ScreeningReporting and Data System (Lung-RADS) is a structured radiology scoring system that provides recommendations for LCS follow-up that are utilized (a) in clinical care and (b) by LCS programs monitoring rates of adherence to follow-up. Thus, accurate reporting and reliable collection of Lung-RADS scores are fundamental components of LCS program evaluation and improvement. Unfortunately, due to variability in radiology reports, extraction of Lung-RADS scores is non-trivial, and best practices do not exist. The purpose of this project is to compare mechanisms to extract Lung-RADS scores from free-text radiology reports.

Authors

  • Amir Gandomi
    Northwell, New Hyde Park, NY, USA; Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA; Frank G. Zarb School of Business, Hofstra University, Hempstead, NY, USA.
  • Eusha Hasan
    Northwell, New Hyde Park, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA.
  • Jesse Chusid
    Northwell, New Hyde Park, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; North Shore University Hospital, Northwell, Manhasset, NY, USA.
  • Subroto Paul
    Northwell, New Hyde Park, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Lenox Hill Hospital, Northwell, New York, NY, USA.
  • Matthew Inra
    Department of Cardiovascular and Thoracic Surgery, Northwell Health Lenox Hill Hospital, New York, New York; Donald and Barbara Zucker School of Medicine at Hofstra Northwell, Hempstead, New York.
  • Alex Makhnevich
    Northwell, New Hyde Park, NY, USA; Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; North Shore University Hospital, Northwell, Manhasset, NY, USA.
  • Suhail Raoof
    Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; North Shore University Hospital, Northwell, Manhasset, NY, USA; Lenox Hill Hospital, Northwell, New York, NY, USA.
  • Gerard Silvestri
    Medical University of South Carolina, Charleston, SC, USA.
  • Brett C Bade
    Northwell, New Hyde Park, NY, USA; Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; Lenox Hill Hospital, Northwell, New York, NY, USA. Electronic address: bbade@northwell.edu.
  • Stuart L Cohen
    Northwell, New Hyde Park, NY, USA; Institute of Health System Science, Feinstein Institutes for Medical Research, Manhasset, NY, USA; Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Hempstead, NY, USA; North Shore University Hospital, Northwell, Manhasset, NY, USA.

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