1st ITMA

Abstract information

English title:	Effect of field cancerization on breast texture features: an in silico study
Spanish title:	Efecto del campo carcinog�nico en los patrones de textura mamarios: un estudio in silico
English abstract:	Texture features extracted from medical images have been used extensively for diagnosis and risk assessment of diseases through a practice called radiomics. Radiomics applied to breast cancer risk assessment using mammography has shown remarkable performance, however, the explanation to this remains unknown. One hypothesis points at the concept of Field Cancerization Effect as the possible explanation to it. This effect has been studied at the molecular and optical levels, and it has been found that it produces alterations of the biochemical and optical properties of the tissues. Based on the hypothesis of Field Cancerization being the working principle of radiomics for breast cancer risk assessment, we performed an in silico experiment to test the effect of modifying the breast optical properties on the texture features extracted from mammograms. Our experiment started by introducing different levels of non-localized scattering centers in a cohort of 60 voxelized breast phantoms; from these phantoms, digital mammography was simulated, and the final mammographic images were used for the extraction of texture features. We assessed the impact of the tissue properties modification on the texture features using t-test, Wilcoxon signed-rank test, Kolmogorov-Smirnov test and an equivalence test. Our experiments showed that, when the non-localized scattering centers add up to 7.9% of the total breast volume, several of the texture features studied show statistically significant differences (p<0.05). These results indicate that changes in the properties of small, non-localized volumes of breast tissue can have a non-negligible impact on the texture features of mammograms, which supports the hypothesis of the Field Cancerization Effect being the working principle of radiomics for breast cancer risk assessment.
Spanish abstract:	Las caracter�sticas de textura extra�das de im�genes m�dicas se han utilizado ampliamente para el diagn�stico y la evaluaci�n de riesgos de enfermedades a trav�s de una pr�ctica llamada radi�mics. Aplicar radiomics a la evaluaci�n del riesgo de c�ncer de mama usando mamograf�a ha demostrado un rendimiento notable, sin embargo, la explicaci�n de esto sigue siendo desconocida. Una hip�tesis apunta al concepto de Efecto de Campo Carcinog�nico como la posible explicaci�n. Este efecto ha sido estudiado a nivel molecular y �ptico, y se ha encontrado que produce alteraciones de las propiedades bioqu�micas y �pticas de los tejidos. Bas�ndonos en la hip�tesis de que el Efecto de Campo Carcinog�nico es el principio de funcionamiento de radiomics para la evaluaci�n del riesgo de c�ncer de mama, realizamos un experimento in silico para probar el efecto de modificar las propiedades �pticas de la mama en las caracter�sticas de textura extra�das de las mamograf�as. Nuestro experimento comenz� introduciendo diferentes niveles de centros dispersivos no localizados en una cohorte de 60 phantoms de mama voxelizados; a partir de estos phantoms, se simul� mamograf�a digital, y las im�genes mamogr�ficas finales se utilizaron para la extracci�n de caracter�sticas de textura. Evaluamos el impacto de la modificaci�n de las propiedades del tejido en las caracter�sticas de la textura utilizando t-test, Wilcoxon signed-rank test, test de Kolmogorov-Smirnov y un test de equivalencia. Nuestros experimentos mostraron que, cuando los centros dispersivos no localizados suman el 7,9% del volumen total de la pechuga, varias de las caracter�sticas de textura estudiadas muestran diferencias estad�sticamente significativas (p<0,05). Estos resultados indican que los cambios en las propiedades de peque�os vol�menes no localizados de tejido mamario pueden tener un impacto que no es despreciable en las caracter�sticas de textura de las mamograf�as, lo que respalda la hip�tesis de que el Efecto de Campo Carcinog�nico es el principio de funcionamiento de radiomics para la evaluaci�n de riesgo de cancer de mama.
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Authors

Name	Institution	Email
Said Pertuz	Universidad Industrial de Santander	spertuz@uis.edu.co
Angie Nicole Hern�ndez Dur�n	Universidad Industrial de Santander	angie2208448@correo.uis.edu.co
David Alejandro Miranda	Universidad Industrial de Santander	dalemir@uis.edu.co

Presentation

Room:	Aula Máxima de Ingeniería Mecánica Auditorium
Date:	2 December 2022
Hour:	09:00 - 09:20

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1^st ITMA

Innovative Technologies for Medical Applications

Universidad Industrial de Santander

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Research group CPS: cps.info@uis.edu.co

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