Amb motiu del tancament d'estiu, la validació de documents es reprendrà a partir del 28 d'agost de 2026. Disculpeu les molèsties.
Con motivo del cierre de verano, la validación de documentos se reanudará a partir del 28 de agosto de 2026. Disculpad las molestias
Due to the summer closure, document validation will resume starting August 28, 2026. We apologize for any inconvenience.

Files

TFM Marti Catala.pdf (1.54 MB)

Document type

Master thesis

Publication date

2016-06

Publication license

cc-by-nc-nd (c) Català, 2016
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/103509

A 3D computational model for understanding tuberculosis lesions dynamics in lungs

Journal Title

Authors

Director/Tutor

Journal ISSN

Volume Title

Related resource

Abstract

Tuberculosis (TB) is an infectious bacterial disease caused by Mycobacterium tuberculosis (Mtb), which most commonly affects the lungs. In healthy people, an infection with Mtb often causes no symptoms, remaining controlled as a non-contagious latent tuberculosis infection. World Health Organization estimates that one third of the world population is already infected by this bacillus. From those, a 10% will probably develop an active disease the next decade. Nowadays, over 1 million people die annually because of an active TB. The mechanisms that maintain a latent infection for a few years or that make it evolving towards an active disease are not fully understood, yet. In a previous work, the dynamics of TB lesions during an active disease in mice was described by an Agent-Based Model (ABM). This model accounted for the growth, coalescence and proliferation of lesions, showing that the most important mechanism for lesions growth during the active disease was coalescence. In a later work, the dynamics of lesions during a latent infection in minipigs was tackled by implementing a revised version of the previous ABM into a computational model of the bronchial tree. The model was fed with Computed Tomography scan data from latent infection in minipigs. In this case, the model showed that the proliferation of lesions through the bronchial tree was essential for maintaining the latent infection. In this Master thesis we propose a first approach on the evolution of a latent tuberculosis infection into an active disease. The parameter space will be explored trying to elucidate which is the role of each mechanism on the trigger for the disease

Description

Màster Oficial en Física Avançada, Facultat de Física, Universitat de Barcelona, Curs: 2016, Tutors: Ignacio Pagonabarraga, Clara Prats

Subject

Tuberculosi, Visualització tridimensional, Pulmó, Treballs de fi de màster

Subject (English)

Tuberculosis, Three-dimensional display systems, Lung, Master's theses

Citation

Collections

Màster Oficial - Física Avançada

Citation

CATALÀ SABATÉ, Martí. A 3D computational model for understanding tuberculosis lesions dynamics in lungs. [consulted: 11 of August of 2026]. Available at: https://hdl.handle.net/2445/103509

Export metadata

JSON - METS

Share record