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18 August 2021 | Story ANDRÉ DAMONS | Photo ANDRÉ DAMONS
Dr Osayande Evbuomwan, a Senior Lecturer and Medical Specialist in the Department of Nuclear Medicine, always wanted to specialise in an area of medicine that was novel, innovative, intriguing and involved a lot of opportunities for groundbreaking research

Dr Osayande Evbuomwan, Senior Lecturer and Medical Specialist in the Department of Nuclear Medicine, Faculty of Health Sciences, at the University of the Free State (UFS) always wanted to specialize in an area of medicine that was novel, innovative, intriguing and involved many opportunities for groundbreaking research.

This passionate medical man, who joined the UFS in 2019, is behind his department using Lutetium 177 PSMA (Lu-177 PSMA) therapy to treatment metastatic castrate resistant prostate cancer (MCRPC) – an advanced stage prostate cancer. 
The UFS and the Free State province can now join other South African universities, like the University of Pretoria, University of the Witwatersrand, and other provinces in using this method to treat MCRPC patients. 

Built for this job

Dr Evbuomwan explains nuclear medicine is a medical specialty that involves the use of unsealed sources of radiation in the form of radioisotopes for the diagnosis and treatment of various disease conditions including cancers.
“It’s novelty and opportunity for research and ability to diagnose and treat disease conditions in one specialty attracted me to this field. I always wanted to be a doctor. I see it as a calling. It was also something my mum discovered while I was growing up as a child. In my next life, I would choose to be a medical doctor again,” he says.

“I was built for this job and it is always my joy to have the opportunity to carry out my work. We have been well-trained for this; we support all our skills with prayers. We try to give our patients the very best,” says Dr Evbuomwan, who is originally from Benin City, Edo state, Nigeria. 

After graduating as a nuclear medicine specialist from Wits University, Dr Evbuomwan moved to the City of Roses after a work opportunity opened. He saw it as an opportunity to showcase his talents.

“I have been privileged to receive training in this treatment during my residency training at Wits. I treated a few of these patients during my training and the results were amazing. The University of Pretoria has also been involved with this treatment, with some amazing results that are recognised worldwide. 

“This was enough to convince me to push for our department to also join the powerhouses and offer this treatment to patients who need it. With the influence of a very understanding head of department, Dr Gerrit Engelbrecht, we have been successful in pushing for the commencement of this treatment at our facility,” says Dr Evbuomwan.

Important treatment
According to him, the availability and expertise of Lutetium 177 PSMA (Lu-177 PSMA) therapy to treat MCRPC is very important for the Free State and the UFS, as it is able to offer an option for patients who do not qualify for available conventional treatment and/or who have failed the first line of conventional treatment. 

“In the majority of patients this treatment offers improved quality of life, disease-free progression and improved overall survival. It also alleviates the constant bone pains these patients have to go through daily. To be able to offer this treatment puts the university and the province on the map alongside other top institutions in and outside the country. It also offers opportunity for research,” says Dr Evbuomwan.

He believes with a PET/CT camera for proper staging of these patients with cancer the UFS would be able to expand the treatment of patients suffering from this deadly illness. Currently the university does not possess such a camera and has to use lesser methods in identifying the right patients for this therapy.

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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