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

  • Invited Review
  • Published:
Japanese Journal of Radiology Aims and scope Submit manuscript

Abstract

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.

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Abbreviations

2D:

Two dimensions

3D:

Three dimensions

ACM:

Angle co-occurrence matrices

ADC:

Apparent diffusion coefficient

AIP:

Auto-immune pancreatitis

AUC:

Area under receiver operating characteristic curve

CA:

Cancer antigen

CT:

Computed tomography

DFS:

Disease-free survival

DWI:

Diffusion-weighted imaging

GLCM:

Gray-level co-occurrence matrix

GLRLM:

Gray-level run length matrix

IPAS:

Intrapancreatic accessory spleen

IPMN:

Intraductal papillary mucinous neoplasm

LASSO:

Least absolute shrinkage and selection operator

MRI:

Magnetic resonance imaging

NEC:

Neuroendocrine carcinoma

NEN:

Neuroendocrine neoplasm

NET:

Neuroendocrine tumor

NGTDM:

Neighborhood gray-tone difference matrix

PDAC:

Pancreatic ductal adenocarcinoma

PET:

Positron emission tomography

PNEN:

Pancreatic neuroendocrine neoplasm

ROI:

Region of interest

RLM:

Run-length matrices

TA:

Texture analysis

WHO:

World Health Organization

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Authors and Affiliations

  1. Department of Radiology, Cochin Hospital, AP-HP, 27 Rue du Faubourg Saint-Jacques, 75014, Paris, France

    Marion Bartoli, Maxime Barat, Anthony Dohan, Guillaume Chassagnon & Philippe Soyer

  2. Université de Paris, Descartes-Paris 5, F-75006, Paris, France

    Maxime Barat, Anthony Dohan, Sébastien Gaujoux, Romain Coriat, Guillaume Chassagnon & Philippe Soyer

  3. Department of Abdominal Surgery, Cochin Hospital, AP-HP, 75014, Paris, France

    Sébastien Gaujoux

  4. Department of Gastroenterology, Cochin Hospital, AP-HP, 75014, Paris, France

    Romain Coriat

  5. Department of Radiology, Robert Debré Hospital, 51092, Reims, France

    Christine Hoeffel

  6. Department of Radiology, CHU Montpellier, University of Montpellier, Saint-Éloi Hospital, 34000, Montpellier, France

    Christophe Cassinotto

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  1. Marion Bartoli
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  2. Maxime Barat
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  3. Anthony Dohan
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  6. Christine Hoeffel
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  8. Guillaume Chassagnon
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  9. Philippe Soyer
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Correspondence to Philippe Soyer.

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Bartoli, M., Barat, M., Dohan, A. et al. CT and MRI of pancreatic tumors: an update in the era of radiomics. Jpn J Radiol 38, 1111–1124 (2020). https://doi.org/10.1007/s11604-020-01057-6

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  • DOI: https://doi.org/10.1007/s11604-020-01057-6

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