MRI-based radiomics signature for localized prostate cancer: a new clinical tool for cancer aggressiveness prediction? Sub-study of prospective phase II trial on ultra-hypofractionated radiotherapy (AIRC IG-13218).
Simone Giovanni GugliandoloMatteo PepaLars Johannes IsakssonGiulia MarvasoSara RaimondiFrancesca BottaSara GandiniDelia CiardoStefania VolpeGiulia RivaDamari Patricia RojasDario ZeriniPaola PricoloSarah AlessiGiuseppe PetraliaPaul Eugene SummersFrnacesco Alessandro MistrettaStefano LuzzagoFederica CattaniOttavio De CobelliEnrico CassanoMarta CremonesiMassimo BellomiRoberto OrecchiaBarbara Alicja Jereczek-FossaPublished in: European radiology (2020)
• A radiomic model was used to classify PCa aggressiveness. • Radiomic analysis was performed on T2-W magnetic resonance images of the whole prostate gland. • The most predictive features belong to the texture (57%) and intensity (43%) domains.
Keyphrases
- prostate cancer
- contrast enhanced
- magnetic resonance
- radiation therapy
- magnetic resonance imaging
- radical prostatectomy
- computed tomography
- papillary thyroid
- early stage
- deep learning
- diffusion weighted imaging
- high intensity
- convolutional neural network
- radiation induced
- optical coherence tomography
- lymph node metastasis
- open label
- squamous cell
- locally advanced
- childhood cancer
- study protocol
- placebo controlled