Literature DB >> 27770161

Texture analysis in radiology: Does the emperor have no clothes?

Ronald M Summers1.   

Abstract

Texture analysis is more and more frequently used in radiology research. Is this a new technology, and if not, what has changed? Is texture analysis the great diagnostic and prognostic tool we have been searching for in radiology? This commentary answers these questions and places texture analysis into its proper perspective.

Keywords:  Computer-aided detection; Image processing; Radiomics; Segmentation

Mesh：

Year:  2017        PMID： 27770161     DOI： 10.1007/s00261-016-0950-1

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  15 in total

1.  Short-term reproducibility of radiomic features in liver parenchyma and liver malignancies on contrast-enhanced CT imaging.

Authors:  Thomas Perrin; Abhishek Midya; Rikiya Yamashita; Jayasree Chakraborty; Tome Saidon; William R Jarnagin; Mithat Gonen; Amber L Simpson; Richard K G Do
Journal:  Abdom Radiol (NY)       Date:  2018-12

2.  Differentiating kidney stones from phleboliths in unenhanced low-dose computed tomography using radiomics and machine learning.

Authors:  Thomas De Perrot; Jeremy Hofmeister; Simon Burgermeister; Steve P Martin; Gregoire Feutry; Jacques Klein; Xavier Montet
Journal:  Eur Radiol       Date:  2019-02-12       Impact factor: 5.315

3.  The Evolving Status of Radiomics.

Authors:  Philip O Alderson; Ronald M Summers
Journal:  J Natl Cancer Inst       Date:  2020-09-01       Impact factor: 13.506

4.  Imaging Biomarkers to Assess Response to Immune Checkpoint Inhibitors in Solid Tumors to Tailor Therapy.

Authors:  Ronald M Summers
Journal:  Radiology       Date:  2021-01-26       Impact factor: 11.105

Review 5.  Radiomics and liquid biopsy in oncology: the holons of systems medicine.

Authors:  Emanuele Neri; Marzia Del Re; Fabiola Paiar; Paola Erba; Paola Cocuzza; Daniele Regge; Romano Danesi
Journal:  Insights Imaging       Date:  2018-11-14

6.  A radiomics-based formula for the preoperative prediction of postoperative pancreatic fistula in patients with pancreaticoduodenectomy.

Authors:  Wenyu Zhang; Wei Cai; Baochun He; Nan Xiang; Chihua Fang; Fucang Jia
Journal:  Cancer Manag Res       Date:  2018-11-28       Impact factor: 3.989

Review 7.  Magnetic resonance imaging (MRI)-based radiomics for prostate cancer radiotherapy.

Authors:  Fei Yang; John C Ford; Nesrin Dogan; Kyle R Padgett; Adrian L Breto; Matthew C Abramowitz; Alan Dal Pra; Alan Pollack; Radka Stoyanova
Journal:  Transl Androl Urol       Date:  2018-06

8.  Review of Value of CT Texture Analysis and Machine Learning in Differentiating Fat-Poor Renal Angiomyolipoma from Renal Cell Carcinoma.

Authors:  Yuhan Zhang; Xu Li; Yang Lv; Xinquan Gu
Journal:  Tomography       Date:  2020-12

Review 9.  Adrenal Incidentaloma.

Authors:  Mark Sherlock; Andrew Scarsbrook; Afroze Abbas; Sheila Fraser; Padiporn Limumpornpetch; Rosemary Dineen; Paul M Stewart
Journal:  Endocr Rev       Date:  2020-12-01       Impact factor: 19.871

Review 10.  Gallbladder cancer revisited: the evolving role of a radiologist.

Authors:  Anupama Ramachandran; Deep Narayan Srivastava; Kumble Seetharama Madhusudhan
Journal:  Br J Radiol       Date:  2020-10-23       Impact factor: 3.039
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.