Radiomics

8 important questions on Radiomics

Conclusion to learning objectives.
  • role of imaging in clinical and research workflow (historically and now)
  • what are radiomics + innovation
  • association between imaging markers and clinical outcomes
  • multidisciplinary in the future key role.

Important because diagnostics of people can be subjective or it is too small to see.

What kind of morphologies does a tumor have?

  • Smooth margins
  • Homogeneous/ heterogeneous
  • Irregularly shaped
  • Lobular
  • Lesions (schade)

What is radiomics? Three types of usage.

Objective quantification of tissue heterogeneity of medical images.
  • numerical description
  • finding mineable data => patterns with useful information

  • used for morphological characterization. Computer Aided Biological profiling (CABP)
  • used for computer aided diagnosis (CAD)
  • used for computer aided response prediction (CARP)


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Describe the workflow of radiomics.

Shows the application of deep learning.

Outline of the two kinds of radiomics pipeline.
a The classical/conventional radiomics model where, after image acquisition, areas of interest are delineated and handcrafted features are extracted. Subsequently, models are built around these predefined features using either statistical or machine learning methodologies.
b The deep learning radiomics pipeline where, after image acquisition, neural networks automatically perform feature extraction, selection, and classification

What is the difference between radiomics and radiogenomics?

Radiomics refers to the general field in which patient scans are converted into quantitative data while radiogenomics is a specific application where imaging features, radiomic or otherwise, are linked to genomic profiles.

Predicting the prognosis of a cancer patient. How to do it?

Based on changes => putting it into an algorithm.

Why is inside into tumour biology important? (3)

  • For biomarkers
  • For treatment strategies
  • Identification of targets

Why are multidisciplinary teams important?

  • This will require hand-in-hand multidisciplinary collaboration between the biomedical field (i.e. clinicians, geneticists, radiologists, pathologists, clinical chemists) and the technical field (i.e. computer scientists, physicists, engineers, statisticians, and mathematicians)
  • as well as an organizational structure wherein the departments will operate not in isolation but in successful integration.

The question on the page originate from the summary of the following study material:

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