
Three senior executives at South African radioisotope firm NTP Radioisotopes are back on the job after the completion of a government inquiry into a breach of safety regulations at the firm's radiochemicals complex last year.
According to a July 10 report in Business Day, NTP parent company South African Nuclear Energy was ordered by South Africa's National Nuclear Regulator to cease production of molybdenum-99 (Mo-99) in November 2017 after NTP's hydrogen monitoring systems failed. It took three days for NTP to report the incident, which occurred in October, thus violating safety procedures, according to the agency.
On July 9, NTP announced that Tina Eboka, group managing director; Gavin Ball, group executive for strategic operations; and Gerhard Wortmann, group executive for compliance, were no longer on special leave. A fourth person, Benji Steynberg, executive manager for waste and maintenance, took an early retirement, according to the article.
NTP's board is reviewing the company's organizational structure to improve safety management and ensure compliance with regulatory requirements, Business Day reported.
NTP's nuclear reactor produces as much as one-third of the global supply of Mo-99, the precursor to technetium-99m, which is widely used in nuclear medicine studies. The reactor shutdown is particularly concerning given the halt in Mo-99 production late last month at a nuclear reactor in Australia. NTP would usually provide backup supplies to Australia in such a case, but given the reactor woes in South Africa, the Australians have had to import Mo-99 from the U.S.












![Overview of the study design. (A) The fully automated deep learning framework was developed to estimate body composition (BC) (defined as subcutaneous adipose tissue [SAT] in liters; visceral adipose tissue [VAT] in liters; skeletal muscle [SM] in liters; SM fat fraction [SMFF] as a percentage; and intramuscular adipose tissue [IMAT] in deciliters) from MRI. The fully automated framework comprised one model (model 1) to quantify different BC measures (SAT, VAT, SM, SMFF, and IMAT) as three-dimensional (3D) measures from whole-body MRI scans. The second model (model 2) was trained to identify standardized anatomic landmarks along the craniocaudal body axis (z coordinate field), which allowed for subdividing the whole-body measures into different subregions typically examined on clinical routine MRI scans (chest, abdomen, and pelvis). (B) BC was quantified from whole-body MRI in over 66,000 individuals from two large population-based cohort studies, the UK Biobank (UKB) (36,317 individuals) and the German National Cohort (NAKO) (30,291 individuals). Bar graphs show age distribution by sex and cohort. BMI = body mass index. (C) After the performance assessment of the fully automated framework, the change in BC measures, distributions, and profiles across age decades were investigated. Age-, sex-, and height-adjusted body composition reference curves were calculated and made publicly available in a web-based z-score calculator (https://circ-ml.github.io).](https://img.auntminnieeurope.com/mindful/smg/workspaces/default/uploads/2026/05/body-comp.XgAjTfPj1W.jpg?auto=format%2Ccompress&fit=crop&h=112&q=70&w=112)




