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12 March 2019 | Story Eugene Seegers | Photo Eugene Seegers
Leading women honoured at faculty opening
Rev Martin Laubscher pictured with Thandeka Khulu, Oarabetse Morokane, Lunette Visser, and Trunette Sevenster, who participated in the worship service.

At its recent opening, the Faculty of Theology and Religion conferred the inaugural Letsema Award on Dr Ellen Vuyiswa Blekie, a medical doctor known for her sterling work in her local community in Thaba Nchu, as well as on the various church councils and committees on which she still serves at the age of 87. Dr Gideon van der Watt, director of the “Partners in Mission” unit of the Dutch Reformed Church in the Free State, presented the award to Dr Blekie on behalf of the faculty.

The theme of the morning’s proceedings was: The church and violence against women and children. This theme was not only borne out by the worship service presented by Rev Martin Laubscher, but also by each of his participants. First, a popular song from 1987, My Name is Luka, by Suzanne Vega, was recited in spoken-word form. The song deals with themes of physical and emotional abuse, as well as being kept silent as a victim. Next, the Paulette Kelly poem I Got Flowers Today was recited. The final stanza begins with the words “I got flowers today.../Today was a special day — it was the day of my funeral...”

Dr Carin van Schalkwyk, who has been serving the Philippolis community and congregation since 1993, conducted the liturgy. Her chosen passage was 2 Samuel 13, which recounts the events leading up to King David’s son Amnon raping his half-sister Tamar and the subsequent cover-up by the king and his sons. Dr Van Schalkwyk likened the way David of old handled the situation to the modern church’s failure regarding the protection of women and children, stating these vulnerable ones have been failed miserably.

Dr Van Schalkwyk added: “The root of the problem has not been addressed. It requires a rethinking of both preaching and policy, even of theology. All are created in God’s image; what does that mean?”

Concluding, she said, “We need to hear the lament of those affected, and weep with them. I dream of a day when women do not have to think of how to avoid sexual harassment on a daily basis.”


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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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