Radiomics of high-resolution computed tomography for the differentiation between cholesteatoma and middle ear inflammation: effects of post-reconstruction methods in a dual-center study.
Christophe T ArendtDoris LeithnerMarius E MayerhoeferPeter GibbsChristian CzernyChristoph ArnoldnerIris BurckMartin LeinungYasemin TanyildiziLukas LengaSimon S MartinThomas J VoglRuediger E SchernthanerPublished in: European radiology (2020)
• Unenhanced high-resolution CT coupled with radiomics analysis may be useful for the differentiation between cholesteatoma and middle ear inflammation. • Pooling of data extracted from inhomogeneous CT datasets does not appear meaningful without further post-processing. • When using multi-centric CT data obtained with differences in acquisition parameters, post-reconstruction harmonization and data resampling clearly improve radiomics-based soft-tissue differentiation.
Keyphrases
- contrast enhanced
- computed tomography
- dual energy
- high resolution
- image quality
- magnetic resonance imaging
- electronic health record
- positron emission tomography
- oxidative stress
- lymph node metastasis
- big data
- magnetic resonance
- soft tissue
- mass spectrometry
- machine learning
- data analysis
- squamous cell carcinoma
- tandem mass spectrometry
- rna seq
- artificial intelligence