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22 October 2020 | Story Andre Damons | Photo Supplied
Dr Marankie Swinfen was awarded the Dean’s medal for achieving the best results in respect of a master’s degree in the Faculty of Health Sciences during the year 2019.

Dr Marankie Swinfen, who was awarded the Dean’s medal in the faculty of Health Sciences of the University of the Free State (UFS) at the recent virtual graduation (6-9 October 2020), says she was completely surprised by this award and was unaware that it existed. 

Dr Swinfen, who teaches Clinical Skills to second- and third-year medical students at the UFS and received a master’s degree in Health Professions Education, says the road to obtaining her qualification was quite a bumpy ride and difficult at times.

The Dean’s medal is awarded to the student who achieved the best results in respect of a master’s degree in the Faculty of Health Sciences during the year 2019. 

“Through God’s grace, the patience of my supervisors and an eleventh hour burst of energy I managed to reach the goal,” says Dr Swinfen. 

In her dissertation title; A Student Review of Doctor Patient Communication Skills Training in The UFS Undergraduate Medical Programme she asked medical students to review the training of doctor-patient communication skills during their undergraduate programme. 

Students gave valuable insights

Says Dr Swinfen: “I was pleasantly surprised at the response rate and the students’ level of engagement in the study. They gave valuable insights into the strengths of the communication skills training and highlighted areas where the training can be improved. For instance, they accentuated the need to have more practical training in breaking bad news and managing language and cultural differences in the consultation.” 

According to Dr Swinfen she undertook this study because as an undergraduate medical student, she never formally received training in doctor-patient communication. During her postgraduate diploma in Palliative Medicine, they had role-play sessions in breaking bad news, which opened her eyes to the importance of practical, interactive communication skills training. 

“I wanted to explore how useful students find aspects of doctor-patient communication skills training in the current UFS undergraduate medical training programme.”

Challenges on her journey 

Dr Swinfen says the biggest struggle for her during her studies, was self-discipline and setting aside enough time for research. She also had formal modules to complete and found that she would devote more time and energy to these modules than to research (Especially due to having inspirational teachers such as Dr Chantel van Wyk at HPE).  

“I also had become very rusty in terms of research methodology and had to start again with the ‘ABC’ of research. I was greatly helped by Postgraduate School courses such as using Microsoft Word in research. My supervisors, Prof Mathys Labuschagne and Prof Gina Joubert had immense patience with me and saw potential in my research that I could often not see myself.”


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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