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18 April 2024 | Story Andre Damons | Photo Charl Devenish
Dr Osayande Evbuomwan
Dr Osayande Evbuomwan, Senior Lecturer and Medical Specialist in the Department of Nuclear Medicine at the University of the Free State (UFS), received the first clinical PhD in nuclear medicine completed at the UFS at the April graduation ceremonies.

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), graduated with the first clinical PhD in nuclear medicine completed at the UFS.

He graduated on Thursday (18 April 2024) at the university’s autumn graduation ceremonies when the Faculty of Health Sciences conferred degrees on its graduation class of 2024.

Dr Evbuomwan, the man behind his department using Lutetium 177 PSMA (Lu-177 PSMA) therapy and now Actinium 225 PSMA therapy to treatment metastatic castrate resistant prostate cancer (MCRPC) – an advanced stage prostate cancer, said his PhD is about using a special radiopharmaceutical called Technetium 99m ECDG to detect active disease in the joints of patients with rheumatoid arthritis (RA).

More opportunities for similar degrees

This research has won him the Society of Nuclear Medicine and Molecular Imaging (SNMMI) International Best Abstract Award for South Africa during last year’s SNMMI 2023 Annual Meeting in the US.

“I am very grateful, and at the same time, proud about this achievement (his PhD). This qualification will definitely give more opportunities for further similar degrees at the department. So yes, I feel very happy and fulfilled.

“Rheumatoid arthritis is a debilitating disease with associated morbidity that can lead to serious joint deformity and destruction. The need for an investigation with a very high diagnostic accuracy in detecting active disease is needed, especially in the detection of subclinical disease. Few prior studies in the literature had shown promising results with Tc 99m ECDG imaging in this regard. So, we decided to conduct a proper prospective study to test this hypothesis,” says Dr Evbuomwan.

This research, he explains, was also aimed at finding out if the new nuclear medicine radiopharmaceutical for the identification of active disease in patients with rheumatoid arthritis can also offer prognostic information. This aspect of the study concluded that this particular radiopharmaceutical (Tc – 99m ECDG) is highly sensitive in identifying synovitis (inflammation of the membrane that protects joints) and is capable of offering prognostic information in patients with rheumatoid arthritis.

This was the first prospective study to assess the prognostic value of this radiopharmaceutical in patients with rheumatoid arthritis, Dr Evbuomwan says.

Researching theranostics in the future

According to him, he had a smooth journey to completing his PhD – something he contributes to support from the fantastic team of three supervisors, the assistant who prepared the radiopharmaceutical, the rheumatology department, the radiographers and nurses at the Department of Nuclear Medicine, and most importantly, his wife and two daughters.

His passion for research, growth and the practice of nuclear medicine were his major motivators on this journey.

Dr Evbuomwan is currently looking at the possibility of starting research on theranostics. The only stumbling block for now, he says, is that the department still does not have a PET/CT camera, as this is very vital in today’s nuclear medicine practice. However, together with the Free State Department of Health, they are working hard to secure one.

“I now want to focus on nuclear medicine therapy and its promotion. This includes both imaging and treatment (theranostics) of certain cancers, most especially prostate cancer, neuroendocrine neoplasms, thyroid cancers and the neuroectodermal tumours. I also want to focus on being involved with the training of more registrars at the department of nuclear medicine and increasing the awareness of nuclear medicine amongst colleagues in the Free State,” says Dr Evbuomwan about his future plans. 

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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