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International Award for UFS Department of Nuclear Medicine

07 July 2023 | Story André Damons | Photo Supplied

A research paper by a Senior Lecturer and Medical Specialist in the Department of Nuclear Medicine at the University of the Free State (UFS) has won the Society of Nuclear Medicine and Molecular Imaging (SNMMI) International Best Abstract Award for South Africa.

The abstract, by Dr Osayande Evbuomwan, was about evaluating the efficacy of a new nuclear medicine radiopharmaceutical in the identification of active disease in patients with rheumatoid arthritis. It was selected for this award by a special committee at the recently concluded SNMMI 2023 Annual Meeting, which took place between 24 and 27 June in Chicago, USA.

Dr Evbuomwan received the award at the Annual Meeting on 26 June.

“It is a good feeling, and I am proud of the UFS Department of Nuclear Medicine for pulling this off. It is another example that hard work pays,” he says.

Comparing this radiopharmaceutical to ultrasound

Dr Evbuomwan says the research that generated the award-winning abstract was 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. The study concluded that this particular radiopharmaceutical (Tc – 99m glucosamine) 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 is the first prospective study to assess the prognostic value of this radiopharmaceutical in patients with rheumatoid arthritis, Dr Evbuomwan says. He is currently working on comparisons of this radiopharmaceutical to ultrasound and clinical evaluation in the identification of active disease in patients with rheumatoid arthritis. He says there is also ongoing collaboration with the Rheumatology Division of the Internal Medicine Department, which has played a huge role in making this project fruitful.

“This award is an opportunity to put the department and university on the map, with world stage recognition. We believe that as the Nuclear Medicine Department continues to grow in human resources and equipment, the research output will also increase.”

Dr Gerrit Engelbrecht, Clinical Head of the Department of Nuclear Medicine at the UFS, says the whole department is very proud of Dr Evbuomwan’s accomplishments. “What makes his award even more remarkable is that he outperformed candidates from much larger, highly funded institutions,” he says.

This department announced last year the successful treatment outcome of a patient with metastatic castrate-resistant prostate cancer (MCRPC) – an advanced stage of prostate cancer – by using Lutetium 177 PSMA (Lu-177 PSMA) therapy. This was initially a case of advanced stage prostate cancer, which had failed first-line chemotherapy, leaving little or no other treatment options.

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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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