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MB ChB class of 2020 completes medical programme with a 98,3% pass rate

17 December 2020

The more than 100 medical students who graduated virtually from the University of the Free State (UFS) Faculty of Health Sciences on Monday (14 December), graduated with a pass rate of 98% in a tumultuous year dominated by the COVID-19 pandemic.

The MB ChB class of 2020 – a total of 104 students from the School of Clinical Medicine – graduated virtually on 14 December due to COVID-19. Another virtual graduation is scheduled for 4 January 2021.

An uncomfortable reality
Dr Lynette van der Merwe, undergraduate medical programme director in the School of Clinical Medicine at the UFS, congratulated the latest UFS doctors on their success. Said Dr Van der Merwe: “In a tumultuous year dominated by the COVID-19 pandemic, this group of final-year medical students refused to give in to the pressure and disruption of national lockdown, emergency remote teaching, an adjusted academic calendar, and frontline exposure as healthcare professionals in training.”

“They persevered against all odds, faced up to an uncomfortable reality, and showed remarkable resilience.”

According to Dr Van der Merwe, the class of 2020 completed the gruelling five-year medical programme with a pass rate of 98,3%, impressing external examiners who commented on their respectful attitude towards patients and thorough knowledge and skill.

“The School of Clinical Medicine and Faculty of Health Sciences are immensely proud of our new colleagues and look forward to their contribution to the future of healthcare in South Africa. This achievement would not have been possible without the unwavering commitment of the academic and support staff who guided our students and led the way for them to achieve a life-long dream.”

“We look back with gratitude on a year that required more than the usual amount of adaptability, creativity, innovation, faith, patience, bravery, and endurance. It is these qualities that set apart the doctors who graduate from the UFS, and those who train them,” says Dr Van der Merwe.

Hope for the future
She says while COVID-19 is still a harsh reality and the future holds much uncertainty, 2020 has shown that there is hope when we face challenges with grace under pressure, and a firm belief in our goals and values. “Class of 2020, may you continue to rise above fear, chaos and disappointment, may you take heart and walk your journey with strength, may you bring healing to our people and lead us well.”

Drs Kaamilah Joosub and Lynette Upman, who also graduated on Monday, were awarded the prestigious Bongani Mayosi Medical Students Academic Prize – a national award which aims to recognise final-year medical students who epitomise the academic, legendary, and altruistic life of the late Prof Mayosi. The awards are presented to final-year MB ChB students from all South African medical faculties. This is the first year it has been awarded.

• View the virtual graduation

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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