CT and MRI of pancreatic tumors: an update in the era of radiomics.
Marion BartoliMaxime BaratAnthony DohanSébastien GaujouxRomain CoriatChristine HoeffelChristophe CassinottoGuillaume ChassagnonPhilippe SoyerPublished in: Japanese journal of radiology (2020)
Radiomics is a relatively new approach for image analysis. As a part of radiomics, texture analysis, which consists in extracting a great amount of quantitative data from original images, can be used to identify specific features that can help determining the actual nature of a pancreatic lesion and providing other information such as resectability, tumor grade, tumor response to neoadjuvant therapy or survival after surgery. In this review, the basic of radiomics, recent developments and the results of texture analysis using computed tomography and magnetic resonance imaging in the field of pancreatic tumors are presented. Future applications of radiomics, such as artificial intelligence, are discussed.
Keyphrases
- contrast enhanced
- computed tomography
- magnetic resonance imaging
- artificial intelligence
- magnetic resonance
- lymph node metastasis
- diffusion weighted imaging
- big data
- deep learning
- dual energy
- machine learning
- positron emission tomography
- rectal cancer
- high resolution
- stem cells
- lymph node
- squamous cell carcinoma
- locally advanced
- image quality
- mass spectrometry
- free survival