• Profile
Close

A cloud-based computer-aided detection system improves identification of lung nodules on computed tomography scans of patients with extra-thoracic malignancies

European Radiology Dec 16, 2018

Vassallo L, et al. - Three radiologists, between September 2015 and March 2016, used a cloud-based system to compare unassisted and computer-aided detection (CAD)-assisted detection and time efficiency of radiologists in reporting lung nodules on CT scan taken from 225 subjects with extra-thoracic malignancies. They measured all nodules detected by unassisted reading coordinates were uploaded on a cloud-based system. Written informed consent was signed from all participants and compared Reader detection rate and reporting time with and without CAD. They observed 85% stand-alone CAD sensitivity for lesions ≥ 3 mm; 3.8 mean false-positive rates per scan. Sensitivity was detected higher across readers in recognizing lesions ≥ 3 mm. They observed CAD-assisted reading improved detection of ≥ 3-mm lung nodules on CT and reading time increased by 11% using CAD in cases with extra-thoracic malignancies.
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