A Step Toward Personalized Surgical Decision Making: Machine Learning Predicts One Versus Numerous Melanoma Lymph Node Metastases Using RNA-Sequencing.
Max O MeneveauRick Daniel VavolizzaAnwaruddin MohammadPankaj KumarJoseph T ManderfieldColleen CallahanKevin T LynchTarek AbbasCraig L SlingluffStefan BekiranovPublished in: Annals of surgery (2022)
Gene expression profiles together with clinical variables can distinguish melanoma metastasis patients with 1 pLN versus >1 pLN. Future models trained using PET/CT imaging, gene expression, and relevant clinical variables may further improve accuracy and may predict patients who can be managed with a targeted LN excision rather than a complete TLND.
Keyphrases
- pet ct
- gene expression
- lymph node
- machine learning
- decision making
- high resolution
- dna methylation
- single cell
- genome wide
- artificial intelligence
- copy number
- neoadjuvant chemotherapy
- cancer therapy
- current status
- deep learning
- skin cancer
- sentinel lymph node
- photodynamic therapy
- drug delivery
- early stage
- body composition
- rectal cancer