Vascular surgery with AI and in vitro cellular models

11 important questions on Vascular surgery with AI and in vitro cellular models

What are the current treatments for aortic aneurysms?

  • Invasive open aortic repair: open abdomen.
Risk for trombo-embolic complications, multi organ failure, wound problems, > 5-10% postoperative mortality rate
  • Minimal invasive endovascular repair (EVAR) => you need for this still a couple of centimeters that is healthy tissue
Percutanous access. Minimal invasive. 40% redo in 10 years. <2% mortality post operative.

  • Lifestyle changes
  • Blood pressure medication

What are shortcomings of current treatments?

EVAR
  • endoleak: blood in the aneurism

Overall
  • Invasive
  • Risky
  • Insecurities
  • Organ failure because you have to cut the blood flow.
  • 5% rupture chance per year
  • guideline with 5 cm you operate => not personal

How can AI help in diagnosing and describing the thrombus?

  • Automatic analysis of the thrombus: Info about thrombus volume, perviousness, density, and heterogeneity
  • Helping decision making of the surgeon
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Based on which items do you what the treatment per patient should be? (4)

  • Imaging -> CT?
  • Genomics
  • Proteomics
  • Characteristics of the smooth muscle cells

What is deep learning? And what is machine learning?

A machine can train itself to perform a task => with a convolutional neural network: filter optimization

Machine learning uses more step => feature extraction and classification are two steps. In deep learning these are combined. The output is more specific.

To what is deep learning and machine learning capable of?

Analyzing pictures => give it a numeric output

AI can be used during different stages of the care pathway. Name three examples.

  • Preoperative: combining patient characteristics to give a prediction (genes, age, modeling the smooth muscle cells etc.)
  • Preoperative: automatic forming biomarkers from CTA = computer tomography angiography. The computer automaticlly gives you biomarkers that indicate if the aneurysm with rupture or not. It does this based on the X-ray with fluorescence.
  • During operation: automatic image fusion; bones and vessels

What are challenges of making the 3D model to predict rupture?

  • Lot of small structures
  • Everyone is different > lot of anatomic variation
  • Smooth boundaries (so bewegend en zacht) makes CFD (computational fluid dynamics) difficult

How are vessels modeled in a picture?

With the principle of 'generalized cylinders'. => gives the opportunity of spatial curves.

So you can predict the growth/rupture of the aneurysm but you can also predict something else useful like...?

Identification of spinal arteries

How can in vivo models improve personalised therapies for AAA? (2 examples)

  • Models of endothelial and smooth muscle cells
  • Defining the contractility of smooth muscle cells

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