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A training program to reduce reader search errors for liver metastasis detection in CT.

Scott S Hsieh1, Akitoshi Inoue1, Mariana Yalon1

  • 1Dept. of Radiology, Mayo Clinic, Rochester, MN, USA 55902.

Proceedings of Spie--The International Society for Optical Engineering
|April 17, 2023
PubMed
Summary
This summary is machine-generated.

Radiologist training improved liver metastasis detection sensitivity by reducing search errors, particularly for easier cases. However, classification errors remained unchanged, indicating areas for future improvement in diagnostic accuracy.

Keywords:
Eye trackinglow contrast detectabilityreader performancereader training

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Area of Science:

  • Medical Imaging
  • Radiology
  • Hepatology

Background:

  • Detection of low contrast liver metastases is inconsistent among radiologists, leading to variability in patient care.
  • Targeted training interventions may enhance radiologist performance and reduce inter-reader discrepancies in identifying hepatic lesions.

Purpose of the Study:

  • To evaluate the impact of a structured training program on radiologist performance in detecting liver metastases using eye-tracking technology.
  • To differentiate between search and classification errors to identify specific areas for training improvement.

Main Methods:

  • Thirty-one radiologists (trainees and staff) underwent four reading sessions: pre-test, search training, classification training, and post-test.
  • Eye-tracking monitored interpretation, with training focusing on search strategies and lesion classification using CT exams and image patches.
  • Missed metastases were categorized as search errors (short gaze time) or classification errors (long gaze time).

Main Results:

  • Overall sensitivity for detecting liver metastases increased by 2.8% (p = 0.01) post-training, while AUC remained stable.
  • Search errors significantly decreased from 10.8% to 8.1% (p < 0.01), with greater improvement seen in detecting easier metastases.
  • Classification errors showed no significant change, remaining at 5.7%.

Conclusions:

  • The implemented training program effectively improved radiologist sensitivity by reducing search-related errors in liver metastasis detection.
  • The training did not significantly impact classification accuracy, suggesting a need for different strategies to address this type of error.
  • Future training should focus on enhancing both search efficiency and classification precision for comprehensive improvement in liver lesion detection.