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Predicting Response to Chemotherapy in Patients With Newly Diagnosed High-Risk Neuroblastoma: A Report From the International Neuroblastoma Risk Group.

Anoop MayampurathSiddhi RameshDiana MichaelLiu LiuNicholas FeinbergMeaghan P GrangerArlene NaranjoSusan L CohnSamuel L VolchenboumMark A Applebaum
Published in: JCO clinical cancer informatics (2022)
We demonstrate feasibility in using machine learning of diagnostic MIBG scans to predict response to induction chemotherapy for patients with high-risk neuroblastoma. We highlight improvements when clinical risk factors are also integrated, laying the foundation for using a multimodal approach to guiding treatment decisions for patients with high-risk neuroblastoma.
Keyphrases
  • newly diagnosed
  • risk factors
  • locally advanced
  • squamous cell carcinoma
  • magnetic resonance
  • magnetic resonance imaging