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24 April 2023 | Story Gerda-Marié van Rooyen | Photo Charl Devenish
Jenna Clarkson
Jenna Clarkson is a devout communications student and a karateka. She had to deal with several health challenges during her studies, but nevertheless dreams of obtaining her PhD in Communication at the UFS.

Overcoming numerous health obstacles during her studies, Jenna Clarkson is in high spirits after obtaining her degree from the University of the Free State (UFS). While most students enjoyed an active social and campus life, she often had to visit the hospital while studying. Receiving her BA Integrated Organisational Communication qualification during the April 2023 graduation ceremony has been a healing balm after many years of pain. 
 
The Faculty of the Humanities graduate was diagnosed with type 2 diabetes in 2021. In 2022, after several physiotherapists and emergency room visits, she was also diagnosed with juvenile disc disorder and sacroiliitis. The latter condition affects one or both sacroiliac joints where the lower spine and pelvis meet and may cause pain in one or both legs. 

Initially, Jenna assumed she had hurt herself during karate practice, but the pain would not subside. “I would randomly lose feeling in my legs and couldn’t sit. I spent a year in pain and struggled to walk, lift heavy objects, cough, and sleep on my side. I struggled with the fact that this was going to be an issue for the rest of my life.” 

However, with a lot of love from her friends, support from her lecturers, and grace with herself, Jenna learned how to handle the pain and to realise when she has met her limits. This student from Johannesburg says that although pain is frustrating and overwhelming, having emotional support helps. “Sometimes just having someone to listen and be there is the best thing.”

The journey to the graduation stage might have been difficult for this high-flyer, but it was a worthwhile undertaking. 

“I feel over the moon, and a little overwhelmed that it happened,” says Jenna about getting her degree in communications. Loving her field of study, she attended class eagerly and enjoyed her modules. “I love that I am allowed to create, I get to make something. There’s nothing more amazing than getting a brief and being able to look at it and create something from it that nobody else would have created. The bonus is that I am quite good at it too,” adds the student who is currently doing her honours degree at the UFS. 

Getting her first degree from the UFS, Jenna is determined to excel in her chosen field. 

“I would like to get my honours degree cum laude and do a PhD degree, but I am taking it one degree at a time. If it doesn’t work out that way, it’s okay. I am very good at figuring things out and making a plan.”

Jenna is determined to make her parents proud. “Having lost my dad at four, I do everything with the hope that he would be proud of my choices. My mom sacrificed a lot to give me the best life she could.”

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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