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article · JCO Global Oncology

Machine Learning to Predict Interim Response in Pediatric Classical Hodgkin Lymphoma Using Affordable Blood Tests

20242 citationsOpen accessUniversity of the Free State

Abstract

Changes in low-cost, widely available blood tests may predict chemosensitivity for pediatric cHL without access to PET-CT, identifying patients who may not require radiotherapy. Changes in these nonspecific blood tests should be assessed in combination with clinical findings and available imaging to avoid undertreatment.

Research topics

  • Lymphoma Diagnosis and Treatment
  • Radiomics and Machine Learning in Medical Imaging
  • Medical Imaging Techniques and Applications

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DOI: 10.1200/go.23.00435

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