Literature DB >> 30448920

A review of the principles of texture analysis and its role in imaging of genitourinary neoplasms.

Richard Thomas1,2,3, Lei Qin4,5, Francesco Alessandrino6,4,5, Sonia P Sahu6,5, Pamela J Guerra4,5, Katherine M Krajewski6,4,5, Atul Shinagare6,4,5.   

Abstract

Advances in the management of genitourinary neoplasms have resulted in a trend towards providing patients with personalized care. Texture analysis of medical images, is one of the tools that is being explored to provide information such as detection and characterization of tumors, determining their aggressiveness including grade and metastatic potential and for prediction of survival rates and risk of recurrence. In this article we review the basic principles of texture analysis and then detail its current role in imaging of individual neoplasms of the genitourinary system.

Entities:  

Keywords:  Cancer; Genitourinary; Neoplasm; Texture analysis

Mesh:

Year:  2019        PMID: 30448920     DOI: 10.1007/s00261-018-1832-5

Source DB:  PubMed          Journal:  Abdom Radiol (NY)


  2 in total

1.  MRI Radiomics for the Prediction of Fuhrman Grade in Clear Cell Renal Cell Carcinoma: a Machine Learning Exploratory Study.

Authors:  Arnaldo Stanzione; Carlo Ricciardi; Renato Cuocolo; Valeria Romeo; Jessica Petrone; Michela Sarnataro; Pier Paolo Mainenti; Giovanni Improta; Filippo De Rosa; Luigi Insabato; Arturo Brunetti; Simone Maurea
Journal:  J Digit Imaging       Date:  2020-08       Impact factor: 4.056

2.  Susceptibility weighted imaging (SWI) for evaluating renal dysfunction in type 2 diabetes mellitus: a preliminary study using SWI parameters and SWI-based texture features.

Authors:  Zhenxing Jiang; Yu Wang; Jiule Ding; Shengnan Yu; Jinggang Zhang; Hua Zhou; Jia Di; Wei Xing
Journal:  Ann Transl Med       Date:  2020-12
  2 in total

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