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Related Experiment Video

Updated: Sep 21, 2025

Transtubular Endoscopic Posterolateral Decompression for L5-S1 Lumbar Lateral Disc Herniation
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Development and Validation of Deep Learning-Based Algorithms for Predicting Lumbar Herniated Nucleus Pulposus Using

Jong-Ho Kim1,2, So-Eun Lee3, Hee-Sun Jung3

  • 1Department of Anaesthesiology and Pain Medicine, Chuncheon Sacred Heart Hospital, College of Medicine, Hallym University, Chuncheon 24253, Korea.

Journal of Personalized Medicine
|May 28, 2022
PubMed
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This study created an AI model to detect lumbar herniated nucleus pulposus (HNP) using X-rays. The model shows potential for diagnosing HNP from radiography, though further refinement is needed.

Area of Science:

  • Radiology
  • Artificial Intelligence
  • Medical Imaging

Background:

  • Lumbar herniated nucleus pulposus (HNP) diagnosis is challenging with conventional lumbar radiography.
  • Magnetic resonance imaging (MRI) is the standard for HNP diagnosis.
  • Developing alternative diagnostic methods using radiography is crucial.

Purpose of the Study:

  • To develop and validate an artificial intelligence (AI) model for predicting lumbar HNP using lumbar radiography.
  • To assess the efficacy of AI in identifying HNP from X-ray images.

Main Methods:

  • Utilized a large dataset of 180,271 lumbar radiographs from 34,661 patients, matched with MRI data.
  • Employed the EfficientNet-B5 model with four-fold cross-validation for AI training.
  • Divided data into training and testing sets for robust model evaluation.
Keywords:
deep learningherniated nucleus pulposuslumbar X-rayprediction

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Main Results:

  • The AI model achieved an Area Under the Curve (AUC) of 0.73 for predicting lumbar HNP.
  • Specific AUCs for different lumbar levels ranged from 0.63 to 0.72.
  • The model demonstrated capability in predicting HNP from lumbar radiographs.

Conclusions:

  • An AI model capable of predicting lumbar HNP from radiography has been developed.
  • The model shows promise but requires further development and validation for clinical application.
  • AI-based analysis of lumbar radiography could potentially aid in HNP diagnosis.