CT and MRI of pancreatic tumors: an update in the era of radiomics

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...

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Bibliographic Details
Published in:Japanese journal of radiology 2020-12, Vol.38 (12), p.1111-1124
Main Authors: Bartoli, Marion, Barat, Maxime, Dohan, Anthony, Gaujoux, Sébastien, Coriat, Romain, Hoeffel, Christine, Cassinotto, Christophe, Chassagnon, Guillaume, Soyer, Philippe
Format: Article
Language:English
Subjects:
Artificial Intelligence
Carcinoma, Pancreatic Ductal - diagnostic imaging
Computed tomography
Diagnosis, Differential
Humans
Image analysis
Image processing
Image Processing, Computer-Assisted - methods
Imaging
Invited Review
Magnetic Resonance Imaging
Medical imaging
Medicine
Medicine & Public Health
Neoplasm Grading - methods
Neuroendocrine Tumors - diagnostic imaging
Nuclear Medicine
Pancreas
Pancreas - diagnostic imaging
Pancreas - pathology
Pancreatic cancer
Pancreatic Neoplasms - diagnostic imaging
Pancreatic Neoplasms - pathology
Pancreatic Neoplasms - therapy
Prognosis
Radiology
Radiomics
Radiotherapy
Surgery
Texture
Tomography, X-Ray Computed
Tumors
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Description
Summary: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.
ISSN:1867-1071
1867-108X
1867-108X
DOI:10.1007/s11604-020-01057-6