Patient-calibrated agent-based modelling of ductal carcinoma in situ (DCIS): from microscopic measurements to macroscopic predictions of clinical progression.

Paul Macklin, Mary E Edgerton, Alastair M Thompson, Vittorio Cristini

May 2012 J Theor Biol

Synopsis of Social media discussions

The discussion highlights recognition of the publication's importance, with remarks about its citation milestone and its role in advancing understanding through agent-based modeling, suggesting a tone of appreciation and reflection on its significance.

A
Agreement
 Moderate agreement

Most discussions acknowledge the significance of the research, referencing its high citation count and scientific value.

I
Interest
 Moderate level of interest

Posts show moderate interest, discussing past work and the relevance of modeling studies in cancer research.

E
Engagement
 High engagement

Posts demonstrate deep engagement by referencing a specific publication and its historical context, indicating thoughtful reflection.

I
Impact
 Moderate level of impact

Discussions imply a positive impact by celebrating the paper's influence and potential implications for the field.

Social Mentions

YouTube

3 Videos

Twitter

8 Posts

Metrics

Video Views

21,966

Total Likes

23

Extended Reach

42,337

Social Features

11

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

Ductal carcinoma in situ (DCIS) simulation - extended results

Ductal carcinoma in situ (DCIS) simulation - extended results

Paul Macklin

December 20, 2010

11,453 views

Agent-Based Simulation of Ductal Carcinoma In Situ Growth and Progression

Agent-Based Simulation of Ductal Carcinoma In Situ Growth and Progression

This simulation models 30 days of DCIS growth within a breast duct, calibrated with patient-specific histology data. It highlights necrotic cell death’s role in relieving stress and enabling linear tumor expansion, aiding understanding of disease progression.

Paul Macklin

October 27, 2010

6,627 views

Agent-Based Simulation of DCIS Growth and Boundary Stability

Agent-Based Simulation of DCIS Growth and Boundary Stability

This video showcases a 30-day simulation of ductal carcinoma in situ growth, calibrated with patient-specific data. The model demonstrates how necrotic cell death relaxes stress and influences tumor expansion, aiding understanding of DCIS progression.

Paul Macklin

October 26, 2010

2,204 views

Agent-Based Simulation of DCIS Growth and Mechanics in Breast Cancer

Agent-Based Simulation of DCIS Growth and Mechanics in Breast Cancer

Agent-based simulation of ductal carcinoma in situ (DCIS) models tumor growth constrained within breast ducts, calibrated to patient-specific data. The study examines cell adhesion, mechanics, and proliferation, providing insights into tumor progression and potential treatment strategies.

Paul Macklin

December 19, 2010

1,221 views

DCIS Simulation -- Fluid mechanic

DCIS Simulation -- Fluid mechanic "wetting" behaviour from high ratio of adhesion forces

Paul Macklin

January 25, 2012

462 views

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  • Jeffrey West
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    RT @MathCancer: Looks like our 1st agent-based modeling paper (from 2012) just hit 200 citations. I thought I’d take this opportunity to lo…
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    RT @MathCancer: Looks like our 1st agent-based modeling paper (from 2012) just hit 200 citations. I thought I’d take this opportunity to lo…
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Abstract Synopsis

  • The study develops a detailed agent-based model of DCIS, a precursor to invasive breast cancer, incorporating cell behavior, biomechanics, and calcification, and calibrates it using patient-specific histopathology data.
  • The model simulates DCIS growth over 45 days, finding that necrotic cell death relieves stress and contributes to linear tumor expansion, with growth rates matching clinical data.
  • This research demonstrates how computational models can improve understanding of DCIS progression and potentially enhance treatment planning through better interpretation of imaging and pathology.]