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09 December 2019 | Story Nonsindiso Qwabe | Photo Barend Nagel
Victoria Read more
Victoria the mannequin has become a familiar face in Nursing classrooms

She has an uncanny ability to move her eyes towards the sound of voices in a room, her voice shrills and squeals when she's in pain, she throws in a Spanish word or two, and she releases bodily fluids just like a real human would. 

These are just some of the quirky characteristics that make up the new R1,76 million-rand birthing mannequin in the School of Nursing's Simulation Unit, who goes by the name Victoria. She weighs more than 80 kg and is almost 1,7 metres high. With features such as real eyelashes, eyebrows, and hair, you can't help but do a double take when you lay eyes on her. 

Students getting practical experience

While the unit has other mannequins used for training Nursing students in each year or their study, Simulation Coordinator from the School of Nursing in the Faculty of Health Sciences, Cecile Fourie, said Victoria was a major upgrade for the school because of her versatility. Victoria would further enhance the school's quality of teaching by training students in their final year of undergraduate studies as well as those pursuing their postgraduate studies, about the ins and outs of pregnancy and other female morbidities, Fourie said. 

"We try to make our scenarios as real and authentic as possible and we've seen how much our students have grown. Introducing Victoria to our pre- and postgraduate students will prepare them to be competent in clinical practice." 

Meet Victoria

So, what exactly can Victoria do? 

Fourie said while the other mannequins were made with screws that made them look robot-like, Victoria was made with silicone and given a clean finish to make her appear life-like. The other mannequins can only blink, but Victoria's eyes move around, she can speak Spanish and French, and she comes with five tummies for different medical scenarios. She has a normal tummy which acts as a closure, an operable tummy for caesarean delivery, a tummy that allows a breeched baby to be twisted and turned from the outside just before delivery, a contraction tummy used for normal vaginal delivery – which also allows Victoria to push, bleed, urinate, and release mineral oil which acts as amniotic fluid. The fifth tummy is postpartum haemorrhage, a condition that is common among South African mothers after delivery. 

"It’s so good that we get to train our students in such real, lifelike circumstances. Through Victoria we're going to try and do our part in lessening maternal deaths, which are so prominent in our country. She can act out all the abnormalities that take place in a real delivery, and she can also have other medical conditions such as a heart attack," Fourie said.



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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