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Reliability and Accuracy of Peri-Interventional Stenosis Grading in Peripheral Artery Disease Using Color-Coded Quantitative Fluoroscopy: A Phantom Study Comparing a Clinical and Scientific Postprocessing Software.

Patrick GhibesSasan PartoviGerd GrözingerPetros MartirosianFritz SchickKonstantin NikolaouDominik KetelsenRoland SyhaUlrich Grosse
Published in: BioMed research international (2018)
Various clinical studies in the literature already demonstrated reproducible and reliable stenosis grading by analyzing TDCs acquired with color-coded fluoroscopy. In contrast to TTP, AUC values derived in ROIs behind the stenosis proved to be reliable parameters for stenosis grading. However, our results also demonstrate that several factors are able to significantly impact the evaluation of AUC values. More precisely, accuracy of acquired AUC values can be improved by choosing longer integration times, a large ROI size adapted to the vessel diameter, and a higher frame rate of image acquisition.
Keyphrases
  • peripheral artery disease
  • magnetic resonance
  • systematic review
  • deep learning
  • transcranial direct current stimulation
  • computed tomography
  • mass spectrometry
  • data analysis