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16 August 2021 | Story Nonsindiso Qwabe | Photo Sonia Small (Kaleidoscope Studios)
New member of the Pontifical Academy of Social Sciences - Prof Pearl Sithole

Social scientist and Vice-Principal: Academic and Research on the Qwaqwa Campus, Prof Pearl Sithole, was appointed by Pope Francis as a member of the Pontifical Academy of Social Sciences for her stellar work in social sciences. 
Academicians are appointed by the Pope on the basis of their competencies in the social sciences and their moral integrity.

Prof Sithole said she was looking forward to sharing meaning and impact with the world through a space dedicated to the social sciences. “It’s a great honour. I’m feeling really humbled. The social sciences and humanities are a hugely necessary space to make meaning of the world, but for some reason, in the pecking order, they were relegated to a space that is thought of last. This appointment is to a dedicated space – to say, let’s look at issues through that lens.”
The Pontifical Academy of Social Sciences was established by Pope John Paul II in 1994 with the aim of promoting the study and progress of the social sciences, primarily economics, sociology, law, and political science. To achieve its aims, the academy organises conferences and workshops on specific themes, promotes scientific surveys and research, and publishes publications. 

Prof Sithole said the academy provides a wonderful way of reminding academicians of the importance of relating science to the real world. 

“What I like about it is that it demystifies science. It says, be excellent in your field but be able to converse for impact, be able to come to a forum that worries about specific issues, it still encourages publications and pure science/scientific endeavours, advancements in their field, but sometimes people come together to look at an issue from various angles. For me, it’s such a wonderful way of saying we must remember that we are doing science in order to relate to the world, not just to understand for the sake of understanding,” she said.

Make a genuine effort to make a difference in whatever you do, and your work will speak for itself.- Prof Pearl Sithole. 

The appointment also coincides with Women’s Month, and Prof Sithole said she takes great pride in her womanhood. 

“I am a mother and a daughter. I strive to pinpoint problems and offer solutions. I am a social scientist. I’ve made it a mission to study how systems affect people by infusing humanity within the systems. Women have been made to be apologetic about the qualities that define us as women, which we bring especially into leadership. I don’t apologise for my emotions. I don’t apologise for my multitasking abilities; however, I do feel that women are often abused for having these.”

What would you say makes you a UFS woman of quality, impact, and care?

I am the sort of person who strongly believes that your work should speak for itself. I don’t work for accolades. My approach to life is to work genuinely to make a difference, and your work will speak for itself. If you wake up every day to genuinely make a difference, it is enough. You get a lot of satisfaction in life, and you sleep better because you know you have given it your best, and you know that sometimes you can actually see it making a difference.

What advice would you give to the 15-year-old you?

I would say, be true to yourself. At a younger age, you want to chase all sorts of aspirations that look glamorous, which is not a bad thing, because you have to have appetite; but in your appetite for excellence and as someone who lives for a purpose, be true to yourself. Be able to design a life that aspires, but at the same time be adaptable to what you discover your strengths to be.

News Archive

Mathematical methods used to detect and classify breast cancer masses
2016-08-10

Description: Breast lesions Tags: Breast lesions

Examples of Acho’s breast mass
segmentation identification

Breast cancer is the leading cause of female mortality in developing countries. According to the World Health Organization (WHO), the low survival rates in developing countries are mainly due to the lack of early detection and adequate diagnosis programs.

Seeing the picture more clearly

Susan Acho from the University of the Free State’s Department of Medical Physics, breast cancer research focuses on using mathematical methods to delineate and classify breast masses. Advancements in medical research have led to remarkable progress in breast cancer detection, however, according to Acho, the methods of diagnosis currently available commercially, lack a detailed finesse in accurately identifying the boundaries of breast mass lesions.

Inspiration drawn from pioneer

Drawing inspiration from the Mammography Computer Aided Diagnosis Development and Implementation (CAADI) project, which was the brainchild Prof William Rae, Head of the department of Medical Physics, Acho’s MMedSc thesis titled ‘Segmentation and Quantitative Characterisation of Breast Masses Imaged using Digital Mammography’ investigates classical segmentation algorithms, texture features and classification of breast masses in mammography. It is a rare research topic in South Africa.

 Characterisation of breast masses, involves delineating and analysing the breast mass region on a mammogram in order to determine its shape, margin and texture composition. Computer-aided diagnosis (CAD) program detects the outline of the mass lesion, and uses this information together with its texture features to determine the clinical traits of the mass. CAD programs mark suspicious areas for second look or areas on a mammogram that the radiologist might have overlooked. It can act as an independent double reader of a mammogram in institutions where there is a shortage of trained mammogram readers. 

Light at the end of the tunnel

Breast cancer is one of the most common malignancies among females in South Africa. “The challenge is being able to apply these mathematical methods in the medical field to help find solutions to specific medical problems, and that’s what I hope my research will do,” she says.

By using mathematics, physics and digital imaging to understand breast masses on mammograms, her research bridges the gap between these fields to provide algorithms which are applicable in medical image interpretation.

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