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18 April 2024 | Story Anthony Mthembu | Photo Supplied
Mia Pretorius
Mia Pretorius, one of the accountancy graduates from the UFS Class of 2023, excelled in the SAICA ITC examination, securing the 6th position nationally.

The accountancy graduates of the University of the Free State (UFS), Class of 2023, have showcased their excellence by achieving an impressive 86% pass rate in the January 2024 Initial Test of Competence (ITC) examination administered by the South African Institute of Chartered Accountants (SAICA). This achievement underscores the rigorous academic standards and dedication upheld by both the students and the esteemed faculty of the UFS School of Accountancy.

Prof Frans Prinsloo, Director of the School of Accountancy at UFS, expressed profound satisfaction at these remarkable results. He remarked, ‘’This achievement bears testament to the many hours of hard work invested over many years by the UFS School of Accountancy team and its students, and it brings us great joy.’’

Among the shining stars of this accomplishment is Mia Pretorius, a SAICA Audit Trainee at Deloitte in Cape Town and a distinguished UFS alumnus. Pretorius clinched the sixth position nationwide in the exam, surpassing over 2000 graduates across the country. Reflecting on her achievement, Pretorius conveyed her overwhelming gratitude, acknowledging the challenging nature of the examination, particularly the time constraints. She attributed her success to the comprehensive preparation received at UFS, stating, ‘’We wrote some difficult examinations during my time at UFS, so I was well prepared and found the ITC to be a bit easier than some of the exams that were written at UFS.’’

Prof Prinsloo lauded Pretorius’s success as a testament to the effectiveness of the CA programme at UFS, stating,’ Our CA programme not only enables our graduates to pass the ITC examination but, in fact, empowers them also to excel.’’

The significance of this accomplishment extends beyond individual success stories. Prof Prinsloo emphasised that the SAICA ITC examination serves as a crucial benchmark for evaluating the quality of the Chartered Accountancy (CA) programme offered at UFS. He elaborated, ‘’These results signify that the CA programme offered by the UFS not only develops our students’ technical competence in the subject areas of Financial Accounting, Auditing, Taxation and Managerial Accounting and Finance to the appropriate level but also equips them with the essential professional skills.’’

With aspirations for their students to make meaningful contributions to their respective fields and communities, Prof Prinsloo expressed hope that these accomplished students uphold ethical standards and serve as inspiration for our future students.

The achievements of the UFS accounting graduates of 2023 in the SAICA ITC examination underscore the university’s commitment to academic excellence and the holistic development of its students. 

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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