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TissueDB/Materials/Evaporated Milk

From Appropedia
Two cans of evaporated milk beside a plate of the poured milk
Cans of evaporated milk and the poured product, added to gel phantoms to increase ultrasound echogenicity. Image: public domain by HV, via Wikimedia Commons.

Public domain via Wikimedia Commons

Evaporated milk is a shelf-stable dairy product used in medical simulation to add echogenicity (ultrasound scattering) to agar and gelatin tissue phantoms. When mixed into phantom matrices, the fat and protein content of evaporated milk creates a speckled ultrasound appearance that mimics the echogenic texture of soft tissues.

Tissues

Tissue Visual Tactile Simulator Notes
Muscle (soft tissue equivalent) Yes Partial Recipe: 25% evaporated milk in 2–3% agar. Mix milk into warm (not boiling) agar to prevent curdling.
Liver parenchyma Yes Partial Recipe: 20–30% evaporated milk in 4–5% agar with psyllium. Milk provides echogenicity; psyllium adds parenchymal texture. Embed grape or olive targets for lesion localisation.
Breast parenchyma Yes Partial Recipe: Layer different milk concentrations (10–30%). Creates glandular and fatty tissue differentiation. Higher milk concentration produces more echogenic (denser tissue) appearance.





References

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At a Glance

Overview

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Synonyms

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Unsweetened condensed milk, canned evaporated milk. Trade: Carnation, Pet Milk. Regional: leche evaporada (ES), lait évaporé (FR), Kondensmilch (DE), latte evaporato (IT), gecondenseerde melk (NL).


Background

Clinical Context for Simulation

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Processing & Preparation

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Safety Considerations

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Page data
Keywords evaporated milk, ultrasound phantom, echogenicity, soft tissue simulation, TissueDB
SDG
Authors Arturopelayo
License CC-BY-SA-4.0
Language English (en)
Related 0 subpages, 3 pages link here
Views 41 page views (analytics)
Created January 28, 2026 by Arturo Pelayo
Last edit May 25, 2026 by Arturo Pelayo


Page data
SDG
Authors Arturopelayo
License CC-BY-SA-4.0
Language English (en)
Related 0 subpages, 3 pages link here
Views 41 page views (analytics)
Created January 28, 2026 by Arturo Pelayo
Last edit May 25, 2026 by Arturo Pelayo
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