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15 March 2023 | Story Jóhann Thormählen | Photo Supplied
Nomsa Mathontsi is a senior member of the Kovsie women’s football team and has played in two Varsity Football and three USSA tournaments.

Nomsa Mathontsi senior member of the University of the Free State (UFS) Women’s Football team has, despite enormous challenges excelled and achieved remarkable heights on and off the field.

Ms Mathontsi has been an avid sportsperson from an early age. Among her many extraordinary achievements the talented Ms Mathontsi has also been on the South African Women’s National Soccer squad Banyana Banyana.

What many may not know though, is that this is notwithstanding the obstacle Ms Mathontsi overcame in order to reach such heights. The Kovsie striker has limited hearing in her right ear and received a cochlear implant before she began her UFS journey in 2018.

I got affected when I was really young. I was doing athletics. This one time I had a very hectic race, which blocked my right ear –

At the University of the Free State Kovsie Health takes into account the medical history of its’ high-performance athletes who are closely monitored with the aim of achieving optimal performance. As in the case of Ms Mathonsi it is most important that the medical practitioner, Dr Gerhard Jansen, and his team at Kovsie Health take into consideration her medical history. 

Kovsie Health provides a range of services to the UFS football programme that include: medical screenings; injury diagnosis; treatment; and rehabilitation. 

Compulsory medicals

“I got affected when I was really young. I was doing athletics. This one time I had a very hectic race, which blocked my right ear.

“At first my family thought it was going to be OK, until we realised it was extremely serious and we had to do medicals,” the versatile player says.

Ms Mathontsi, a BAdmin student in Economic and Management Sciences has an implant in her skull but cannot play with her hearing device.

“Even the implant itself can be dangerous. If someone hits me with an elbow or something hard or (on the) head, it will hurt.”

It is compulsory for all UFS football players to take the South African Football Association medicals. Kovsie Health assists players in this process. This is conducted before each new season and include a basic medical, family and practice history, basis line tests, injury assessments etc.

According to Jansen, Kovsie Health needs to be aware of Mathontsi’s medical history so that they may make informed decisions and provide guidance. We will document it and if she should get concussion you will have to take it into account. We for instance know we shouldn’t see a loss of hearing as a negative sign.”

Special Kovsie football family

Mathontsi has represented the UFS in two Varsity Football campaigns, three USSA tournaments and plays in the Free State Sasol League.

Although she hasn’t made her international debut, she received two call-ups to the South African women’s squad and trained with Banyana Banyana.

The number 8 loves her UFS football family and says she has also learnt to balance sport and university.

“I think it is the bond and relationships we have with each other on and off the field that makes it special.

“I have learnt a lot in terms of leadership and how to take leadership as a senior player in the team.”

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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