Radiomics of MRI for pretreatment prediction of pathologic complete response, tumor regression grade, and neoadjuvant rectal score in patients with locally advanced rectal cancer undergoing neoadjuvant chemoradiation: an international multicenter study.
Hiram ShaishAndrew AukermanRami VanguriAntonino SpinelliPaul ArmentaSachin JambawalikarJasnit MakkarStuart Bentley-HibbertArmando Del PortilloRavi KiranLara MontiChristiana BonifacioMargarita KirienkoKevin L GardnerLawrence SchwartzDeborah KellerPublished in: European radiology (2020)
• Machine learning of rectal cancer on images from the pretreatment MRI can predict important patient outcomes with moderate accuracy. • The tumor and the tissue around it both contain important prognostic information.
Keyphrases
- rectal cancer
- locally advanced
- neoadjuvant chemotherapy
- contrast enhanced
- machine learning
- phase ii study
- magnetic resonance imaging
- deep learning
- squamous cell carcinoma
- diffusion weighted imaging
- radiation therapy
- computed tomography
- artificial intelligence
- magnetic resonance
- lymph node metastasis
- clinical trial
- big data
- health information
- lymph node