Literature DB >> 33085029

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

Marion Bartoli1, Maxime Barat1,2, Anthony Dohan1,2, Sébastien Gaujoux2,3, Romain Coriat2,4, Christine Hoeffel5, Christophe Cassinotto6, Guillaume Chassagnon1,2, Philippe Soyer7,8.   

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.

Entities:  

Keywords:  Artificial intelligence; Pancreatic neoplams; Radiomics; Texture analysis

Mesh:

Year:  2020        PMID: 33085029     DOI: 10.1007/s11604-020-01057-6

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  86 in total

1.  Clinical usefulness of diffusion-weighted MR imaging for detection of pancreatic cancer: comparison with enhanced multidetector-row CT.

Authors:  Kazuki Takakura; Kazuki Sumiyama; Koji Munakata; Hirokazu Ashida; Seiji Arihiro; Hiroshi Kakutani; Hisao Tajiri
Journal:  Abdom Imaging       Date:  2011-08

2.  Target sign on diffusion-weighted MRI in solid and papillary tumor.

Authors:  Maxime Barat; Wiame Potonnier; Benoit Bordacahar
Journal:  Diagn Interv Imaging       Date:  2020-11-09       Impact factor: 4.026

3.  Differentiating autoimmune pancreatitis from pancreatic ductal adenocarcinoma with CT radiomics features.

Authors:  S Park; L C Chu; R H Hruban; B Vogelstein; K W Kinzler; A L Yuille; D F Fouladi; S Shayesteh; S Ghandili; C L Wolfgang; R Burkhart; J He; E K Fishman; S Kawamoto
Journal:  Diagn Interv Imaging       Date:  2020-04-08       Impact factor: 4.026

4.  MR imaging features of pancreatic acinar cell carcinoma.

Authors:  D Jornet; P Soyer; B Terris; C Hoeffel; A Oudjit; P Legmann; S Gaujoux; M Barret; A Dohan
Journal:  Diagn Interv Imaging       Date:  2019-03-04       Impact factor: 4.026

5.  18F-FDG PET/CT in pancreatic adenocarcinoma: On the edge of a paradigm shift?

Authors:  L-J Palmieri; R Coriat
Journal:  Diagn Interv Imaging       Date:  2019-12       Impact factor: 4.026

6.  Characterization of focal pancreatic lesions using normalized apparent diffusion coefficient at 1.5-Tesla: preliminary experience.

Authors:  M Barral; D Sebbag-Sfez; C Hoeffel; U Chaput; A Dohan; C Eveno; M Boudiaf; P Soyer
Journal:  Diagn Interv Imaging       Date:  2013-03-29       Impact factor: 4.026

Review 7.  18F-FDG PET/CT in pancreatic adenocarcinoma: A role at initial imaging staging?

Authors:  M Wartski; A Sauvanet
Journal:  Diagn Interv Imaging       Date:  2019-08-08       Impact factor: 4.026

Review 8.  Pancreatic Adenocarcinoma Staging in the Era of Preoperative Chemotherapy and Radiation Therapy.

Authors:  Marc Zins; Celso Matos; Christophe Cassinotto
Journal:  Radiology       Date:  2018-05       Impact factor: 11.105

Review 9.  Diffusion-weighted MR imaging of the pancreas: current status and recommendations.

Authors:  Matthias Barral; Bachir Taouli; Boris Guiu; Doh-Mu Koh; Alain Luciani; Riccardo Manfredi; Valérie Vilgrain; Christine Hoeffel; Masayuki Kanematsu; Philippe Soyer
Journal:  Radiology       Date:  2015-01       Impact factor: 11.105

Review 10.  Surgical management of pancreatic neuroendocrine tumors: an introduction.

Authors:  Elisabeth Hain; Rémy Sindayigaya; Jade Fawaz; Joseph Gharios; Gaspard Bouteloup; Philippe Soyer; Jérôme Bertherat; Frédéric Prat; Benoit Terris; Romain Coriat; Sébastien Gaujoux
Journal:  Expert Rev Anticancer Ther       Date:  2019-12-17       Impact factor: 4.512

View more
  16 in total

Review 1.  Artificial intelligence: a critical review of current applications in pancreatic imaging.

Authors:  Maxime Barat; Guillaume Chassagnon; Anthony Dohan; Sébastien Gaujoux; Romain Coriat; Christine Hoeffel; Christophe Cassinotto; Philippe Soyer
Journal:  Jpn J Radiol       Date:  2021-02-06       Impact factor: 2.374

Review 2.  Artificial intelligence for nuclear medicine in oncology.

Authors:  Kenji Hirata; Hiroyuki Sugimori; Noriyuki Fujima; Takuya Toyonaga; Kohsuke Kudo
Journal:  Ann Nucl Med       Date:  2022-01-14       Impact factor: 2.668

Review 3.  Radiomics in breast MRI: current progress toward clinical application in the era of artificial intelligence.

Authors:  Hiroko Satake; Satoko Ishigaki; Rintaro Ito; Shinji Naganawa
Journal:  Radiol Med       Date:  2021-10-26       Impact factor: 3.469

4.  Radiomics for CT Assessment of Vascular Contact in Pancreatic Adenocarcinoma.

Authors:  Richard K G Do; Avinash Kambadakone
Journal:  Radiology       Date:  2021-09-07       Impact factor: 29.146

Review 5.  Radiomics: a primer on high-throughput image phenotyping.

Authors:  Kyle J Lafata; Yuqi Wang; Brandon Konkel; Fang-Fang Yin; Mustafa R Bashir
Journal:  Abdom Radiol (NY)       Date:  2021-08-25

Review 6.  Radiomics and Its Applications and Progress in Pancreatitis: A Current State of the Art Review.

Authors:  Gaowu Yan; Gaowen Yan; Hongwei Li; Hongwei Liang; Chen Peng; Anup Bhetuwal; Morgan A McClure; Yongmei Li; Guoqing Yang; Yong Li; Linwei Zhao; Xiaoping Fan
Journal:  Front Med (Lausanne)       Date:  2022-06-23

Review 7.  Pancreatic cancer epidemiology: understanding the role of lifestyle and inherited risk factors.

Authors:  Alison P Klein
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-05-17       Impact factor: 73.082

Review 8.  Update on quantitative radiomics of pancreatic tumors.

Authors:  Mayur Virarkar; Vincenzo K Wong; Ajaykumar C Morani; Eric P Tamm; Priya Bhosale
Journal:  Abdom Radiol (NY)       Date:  2021-07-22

9.  Whole-tumour evaluation with MRI and radiomics features to predict the efficacy of S-1 for adjuvant chemotherapy in postoperative pancreatic cancer patients: a pilot study.

Authors:  Liang Liang; Ying Ding; Yiyi Yu; Kai Liu; Shengxiang Rao; Yingqian Ge; Mengsu Zeng
Journal:  BMC Med Imaging       Date:  2021-04-26       Impact factor: 1.930

Review 10.  Digestive Well-Differentiated Grade 3 Neuroendocrine Tumors: Current Management and Future Directions.

Authors:  Anna Pellat; Anne Ségolène Cottereau; Lola-Jade Palmieri; Philippe Soyer; Ugo Marchese; Catherine Brezault; Romain Coriat
Journal:  Cancers (Basel)       Date:  2021-05-18       Impact factor: 6.639

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.