Radiomics of locally advanced rectal cancer: machine learning-based prediction of response to neoadjuvant chemoradiotherapy using pre-treatment sagittal T2-weighted MRI.
Aytul Hande YardimciBurak KoçakIpek SelHasan BulutCeyda Turan BektasMerve CinNevra DursunHasan BektasOzlem MermutVeysi Hakan YardimciOzgur KilickesmezPublished in: Japanese journal of radiology (2022)
ML-based T2-weighted MRI radiomics might have a potential in predicting response to nCRT in patients with LARC.
Keyphrases
- contrast enhanced
- rectal cancer
- locally advanced
- magnetic resonance imaging
- neoadjuvant chemotherapy
- magnetic resonance
- machine learning
- computed tomography
- diffusion weighted imaging
- phase ii study
- squamous cell carcinoma
- radiation therapy
- lymph node metastasis
- clinical trial
- combination therapy
- risk assessment
- big data