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20 October 2022 | Story Valentino Ndaba | Photo Valentino Ndaba
World Mental Health Day
The UFS community, in partnership with various stakeholders, commemorated World Mental Health Day on 10 October 2022.

About 400 million people globally suffer from mental or neurological disorders and psychosocial problems. Mental disorders, much like physical ones, differ in severity. The Department of Health distinguishes between transient (such as an acute stress disorder), periodic (such as bipolar disorder, characterised by periods of exaggerated elation followed by periods of depression), and long-lasting and progressive (such as Alzheimer’s disease) disorders.

Mental health issues such as depression, anxiety, substance abuse, and job stress are the most common conditions. It is not only the individuals suffering from these problems who are affected, but also their families, co-workers, and the broader community. An interplay between biological, psychological, social, and environmental factors results in mental health conditions.

Mobilising efforts in support of mental health
Internationally, the month of October has been declared Mental Health Awareness Month, with 10 October being the day on which Mental Health Day is observed. The objective is to educate the public about mental health and to reduce the stigma that people with mental illness are often subjected to. To mark the day, the University of the Free State (UFS) Student Counselling and Development (SCD) Office, KovsieHealth, and the student mental health advocacy organisation, Next Chapter, held an activation at the Thakaneng Bridge on the Bloemfontein Campus. This followed a silent walk from the campus’ main gate to the bridge.

Chairperson of Next Chapter, Lehlogonolo Sebjetseba, emphasised the significance of commemorating Mental Health Day. “The importance of observing this day is to continue raising awareness about mental health and to further reduce the stigma around mental health. We did this by introducing students to different psychosocial support organisations such as Alnisa Continua, Panda, the Befrienders, and more. These organisations cater specifically for students’ mental well-being,” said the second-year Industrial Psychology student.

Raise awareness of mental health issues
On 12 October 2022, the Division of Organisational Development and Employee Well-Being, together with the Department of Human Resources (HR), presented a Mental Health talk by award-winning journalist and author, Marion Scher, on the Bloemfontein Campus. The talk touched on preventive mental health interventions, breaking the silence around mental health issues, and guidelines on how to provide support to those affected by mental health problems.

Scher further explained bipolar disorder and schizophrenia, as well as the difference between a bad day and clinical depression. Guidance was provided on avenues to explore when seeking mental health assistance, and advice was offered on what to do if you think someone is having suicidal ideation. In addition, the division has made available the Mental Health Awareness Month Toolkit, which employees can access for free online.

Mental health is a global priority
The overall objective of World Mental Health Day is to raise awareness of mental health issues around the world. This year’s national theme is ‘Mental Health and Well-being for All: Promoting Mental Health in Physical and Virtual Spaces’, which is based on the global theme: ‘Making Mental Health and Well-Being for All a Global Priority’. This is in line with Sustainable Development Goal number three, which focuses on good health and well-being.

SCD and HR will continue to host events throughout the year that encourage students and staff to protect and improve their mental health. These are some of the upcoming events:

Health Survival Guide webinar (students):
Date: 21 October 2022
Time: 10:00
Venue: Blackboard

Self-care webinar (students):
Date: 1 November 2022
Time: 12:00-14:00
Venue: Blackboard

 

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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