Automated MRI perfusion-diffusion mismatch estimation may be significantly different in individual patients when using different software packages.
Hannes DeutschmannNicole HintereggerUlrike WießpeinerMarkus KneihslSimon Fandler-HöflerManuela MichenthalerChristian EnzingerEva HasslerStefan LeberGernot ReishoferPublished in: European radiology (2020)
• Automated calculation of MRI perfusion-diffusion mismatch helps clinicians to apply inclusion and exclusion criteria derived from randomized trials. • Infarct volume segmentation plays a crucial role and lead to significantly different result for different computer programs. • Perfusion-diffusion mismatch estimation from different computer programs may influence the decision for or against mechanical thrombectomy.
Keyphrases
- contrast enhanced
- deep learning
- magnetic resonance imaging
- end stage renal disease
- public health
- magnetic resonance
- machine learning
- computed tomography
- chronic kidney disease
- newly diagnosed
- diffusion weighted imaging
- ejection fraction
- convolutional neural network
- high throughput
- peritoneal dialysis
- prognostic factors
- heart failure
- decision making
- percutaneous coronary intervention