Highly accurate response prediction in high-risk early breast cancer patients using a biophysical simulation platform.
Frederick M HowardGong HeJoseph R PetersonJ R PfeifferTyler EarnestAlexander T PearsonHiroyuki AbeJohn A ColeRita NandaPublished in: Breast cancer research and treatment (2022)
A biophysical simulation model accurately predicts pCR and long-term outcomes from baseline MRI and clinical data, and is a promising tool to guide escalation/de-escalation of NAC.
Keyphrases
- early breast cancer
- end stage renal disease
- chronic kidney disease
- newly diagnosed
- ejection fraction
- magnetic resonance imaging
- open label
- prognostic factors
- transcription factor
- electronic health record
- high resolution
- clinical trial
- randomized controlled trial
- patient reported outcomes
- machine learning
- diffusion weighted imaging
- data analysis