The Nuclear Research and Consultancy Group (NRG) has pushed back the tentative start-up date for its High Flux Reactor in Petten, Netherlands, by one more month to November.
In announcing the delay, the NRG noted that it has determined that corrosion on the concrete side of the unit has caused a gas bubble stream to form in the nuclear reactor's primary cooling water system.
The NRG currently is exploring two repair options, but either choice will delay the completion of repairs at least until November. A decision on which course of action to pursue is expected within a week.
The delay will continue to adversely affect the production and supply of medical isotopes. The NRG said it is in "close contact" with other isotope producers to possibly coordinate production schedules.
The facility has been offline since August, magnifying the issue of a worldwide shortage of molybdenum-99 (Mo-99), the precursor to technetium-99m and the most widely used isotope in nuclear medicine.
Related Reading
Dutch reactor down two more months, September 8, 2008
AECL: Increased production won't cover demand, August 29, 2008
SNM has 'serious concerns' over isotope situation, August 28, 2008
AECL monitors isotope supply after Dutch shutdown, August 26, 2008
SNM draft report shows U.S. Mo-99 production years away, July 22, 2008
Copyright © 2008 AuntMinnie.com










![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)




