• Profile
Close

Pancreatic neuroendocrine tumor: Prediction of the tumor grade using magnetic resonance imaging findings and texture analysis with 3-T magnetic resonance

Cancer Management and Research Mar 10, 2019

Guo CG, et al. - Data were retrospectively quantified to evaluate the prediction of the histopathologic grade of pancreatic neuroendocrine tumors (PNETs) using magnetic resonance imaging (MRI) findings and texture analysis with 3-T magnetic resonance. Higher frequencies of an ill-defined margin, predominantly solid tumor type, local invasion or metastasis, hypo-enhancement at the arterial phase, and restriction diffusion. were observed among Grade 2 (G2)/Grade 3 (G3) tumors when compared with Grade 1 (G1). Statistical significance among PNETs was presented by four T2-based viz, inverse difference moment, energy, correlation, and differenceEntropy and 5 diffusion-weighted imaging (DWI)-based ie, correlation, contrast, inverse difference moment, max intensity, and entropy texture analysis (TA) parameters.
Full text available Go to Original
Only Doctors with an M3 India account can read this article. Sign up for free or login with your existing account.
4 reasons why Doctors love M3 India
  • Exclusive Write-ups & Webinars by KOLs

  • Nonloggedininfinity icon
    Daily Quiz by specialty
  • Nonloggedinlock icon
    Paid Market Research Surveys
  • Case discussions, News & Journals' summaries
Sign-up / Log In
x
M3 app logo
Choose easy access to M3 India from your mobile!


M3 instruc arrow
Add M3 India to your Home screen
Tap  Chrome menu  and select "Add to Home screen" to pin the M3 India App to your Home screen
Okay