Machine learning applied to MRI evaluation for the detection of lymph node metastasis in patients with locally advanced cervical cancer treated with neoadjuvant chemotherapy.
Francesca ArezzoGennaro CormioMichele MongelliGerardo CazzatoErica SilvestrisAnila KardhashiAmbrogio CazzollaClaudio LombardiVincenzo VeneritoVera LoizziPublished in: Archives of gynecology and obstetrics (2022)
We developed an accurate model to predict LNM in LACC patients in NACT, based on a ML algorithm requiring few easy-to-collect attributes.
Keyphrases
- neoadjuvant chemotherapy
- locally advanced
- lymph node metastasis
- machine learning
- squamous cell carcinoma
- rectal cancer
- end stage renal disease
- newly diagnosed
- lymph node
- ejection fraction
- sentinel lymph node
- chronic kidney disease
- radiation therapy
- magnetic resonance imaging
- phase ii study
- peritoneal dialysis
- papillary thyroid
- high resolution
- patient reported outcomes
- early stage
- label free