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28 August 2023 | Story Andre Damons | Photo Andre Damons
Dr Kgomotso Moroka
Dr Kgomotso Moroka, Acting HOD: Cardiology in the UFS Faculty of Health Sciences, recently graduated from Maastricht University with a Diploma of Advanced Studies in Cardiac Arrhythmia Management (DAS-CAM).

A staff member from the University of the Free State (UFS) is hopeful her newly acquired skills and knowledge, following her graduation with a Diploma of Advanced Studies in Cardiac Arrhythmia Management (DAS-CAM) and completion of a electrophysiology fellowship, will contribute to the improvement of cardiovascular services in the Free State and Sub-Saharan Africa.

Dr Kgomotso Moroka, the Acting Head of Department (HOD) for Cardiology in the UFS Faculty of Health Sciences, recently graduated with a DAS-CAM in June 2023. This distinctive postgraduate programme is offered by Maastricht University in collaboration with the European Heart Rhythm Association and the European Society of Cardiology. This is a two-year programme and Dr Moroka was part of the third cohort which comprised 32 electrophysiologists selected from over 20 countries worldwide.

Her achievement places her as the sole   DAS-CAM graduate in Sub-Saharan Africa and the Free State region. 
Electrophysiology, which studies the electrical influences and patterns of the heart is vital for treating patients with abnormal heartbeats caused by irregularities in the heart’s electrical pathway, resulting in either unusually slow or fast heartbeats.

Seizing a valuable opportunity

Dr Moroka emphasises that currently, there is a lack of electrophysiology services provided in both the public and private sectors within the Free State. She therefore anticipates that her newly acquired skills and knowledge will play a pivotal role in enhancing and improving the cardiovascular services offered in the province. She is also optimistic about contributing to the establishment of a department dedicated to Electrophysiology Training. 

“I could not pass up the opportunity to engage with, learn and gain insights from seasoned world-class great minds of electrophysiology, who write the books we read and the very guidelines that we utilize in our daily practices. There was also an opportunity to be guided in research and the state-of-the-art cardiac clinical electrophysiology while also obtaining insights into how to develop a cardiac arrhythmia centre, biostatics, health economics, leadership skills and health technology assessment,” Dr Moroka explains regarding her motivation to enrol in the program. 

“It was a challenging and exciting program that allowed participants to engage with the world-renowned experts in electrophysiology not only on a professional but also personal level. This program served not only to educate participants on clinical cardiac electrophysiology but served to empower us to fulfil roles as future leaders in electrophysiology and in our day-to-day roles,” she continued.

Addressing the diverse burden of cardiac diseases

Dr Moroka believes that this qualification will significantly contribute to local efforts to establish and develop a much-needed unique service, thereby advancing her career development locally and on the international platform. This qualification enables her to expand her clinical research pursuits on multiple fronts.

Dr Moroka underscores the substantial burden of ischemic heart disease with the associated risk factors such as uncontrolled high blood pressure, diabetes, elevated cholesterol levels and smoking. “There is a measurable burden of heart failure and valvular heart disease. In addition, from the research that we hope to embark upon, we hope to clearly define the burden of rhythm problems such as atrial fibrillation and other arrhythmias which are serious conditions. With the available skills and knowledge, we can begin to offer alternative adjunctive treatment that would have a significant positive effect on the morbidity and/or mortality of our patients.”

Dr Moroka points out that with the advent and advances in machine learning and digital health technology, we are in an exciting era of possibilities of obtaining valuable biological data and biometric parameters that would assist in the reduction of risk and prevention of a diversity of cardiovascular diseases and to guide clinical practice guidelines. 

“The current focus is risk reduction, prevention of cardiovascular diseases and the establishment and development of personalized health care, with a growing interest in cardiovascular genetics and gene therapy.  Who knows what the future will bring, but for now the focus is to work towards good health and disease alleviation,” she says. 

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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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