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02 January 2024 | Story Leonie Bolleurs
UFS scientists contribute to the battle against cancer
From top left, moving clockwise: Dr Nerina van der Merwe, Dr Osayande Evbuomwan, Prof Alicia Sherriff, Profs Andreas Roodt and Alice Brink.

Cancer stands as a prominent contributor to deaths worldwide, with a big impact on families and communities. Prostate cancer is one of the leading causes of mortality in the world. The recent diagnoses of cervical cancer are 10 702 annually, with 5 870 patients passing away. Female breast cancer surpassed lung cancer as the most commonly diagnosed cancer in 2020 (American Cancer Society), representing 11,7% of all cancer cases, making it the fifth leading cause of cancer mortality worldwide. Researchers at the university are doing their part in the fight against cancer.

Treating prostate cancer

In July 2021, Dr Osayande Evbuomwan, Senior Lecturer and Medical Specialist in the Department of Nuclear Medicine, along with a team of university doctors, initiated patient treatment using radioligand therapy (RLT). This targeted nuclear medicine therapy delivers high radiation levels precisely to cancer cells, minimising damage to normal organs and tissue, a benefit not typically provided by conventional therapies.

It was the first time that Lutetium 177 PSMA – a type of PRRT – has been used to treat patients with metastatic castrateresistant prostate cancer (MCRPC) in the Free State, providing hope when standard treatments and conventional therapy are not an option. This treatment generally enhances quality of life, slows disease progression, and extends overall survival, with minimal side effects.

All three patients treated with Lu 177 PSMA so far have completed at least four therapy cycles and tolerated it well. The first two patients, while initially responding well, sadly passed away due to unrelated causes. The third case stands out as the most successful, responding excellently to seven treatment cycle and remaining in good health.

Dr Evbuomwan recently also obtained a license for a more effective therapy, AC 225 PSMA, as an alternative to Lu 177 PSMA.

Precise cervical cancer therapy

Medical personnel at the Universitas Academic Hospital also became the first in Southern Africa to use interstitial brachytherapy as a method for treating cervical cancer. Prof Alicia Sherriff, Head of the Department of Oncology, explains that brachytherapy – a form of internal radiation therapy – places the radiation source near or inside the cancer. “Precise delivery of curative doses to the cancer protects surrounding organs such as the bladder, rectum, and small bowel,” she explains.

Three to five weekly brachytherapy sessions under conscious sedation usually begins after two weeks of daily external beam radiation. On brachytherapy days, external beam radiation is not administered. “The intracavitary brachytherapy applicators are placed within the cervix and uterus and deliver high doses locally, but for surrounding tissue infiltration, additional needles are inserted via the Venezia applicator, delivering high-dose radiation while sparing organs,” says Prof Sherriff.

Their work aligns with the broader goals of the university and its commitment to advancing health care in the region by ensuring the continued growth of their skills and technology, while applying these skills to improve the possibility of disease control, cure or palliation with quality of life.

Familial breast and ovarian cancer testing

Dr Nerina van der Merwe, a principal medical scientist in the Division of Human Genetics, and colleagues are engaged in breast cancer research. They are involved in translational research using new technologies that, once validated as a first-tier diagnostic test, could revolutionise genetic testing for familial breast and ovarian cancer in South Africa when used in conjunction with genetic counselling. This parallel application is ideally suited for primary hospitals and rural clinics, as it will dramatically increase accessibility and uptake of genetic testing in rural areas.

By performing first-tier genetic testing at a community clinic, patients no longer have to be transported to tertiary hospitals for testing, and more patients and related family members who are unaware of a familial predisposition will be reached. “By warning unaffected related individuals about their potential increased risk, we can play a part in the earlier detection or diagnosis of patients, improving their cancer survival rate,” states Dr Van der Merwe.

Patenting cancer research

Prof Andreas Roodt, a retired Distinguished Professor in the Department of Chemistry, and colleagues – particularly Prof Alice Brink and co-worker Prof Roger Alberto from the University of Zurich – have published widely on the chemistry of radiopharmaceutical models. Since the 2000s, the world has introduced the concept of ‘theranostics,’ which involves the use of a single compound for both cancer detection and therapy. “These compounds contain a radioisotope that provides internal radiation for cancer detection (diagnostic) and a second part for treatment,” explains Prof Roodt.

Their research enables the high-yield preparation of compounds containing multiple isotopes often present in very low concentrations. “This allows combining diagnostic isotopes such as technetium-99m (used in >80% of diagnostic patient studies worldwide) with therapeutic radioisotopes, such as rhenium-186 (used for bone cancer therapy), with ease. Many therapeutic radioisotopes do not have good diagnostic radiation; thus, by combining the two types of radioisotopes in one medicine, the oncologist can now clearly see where the therapeutic part is going and apply more effective treatment,” he says.

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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