European nuclear medicine practitioners got good news and bad news this week on the status of a Dutch nuclear reactor whose shutdown has imperiled supplies of radioisotopes around the world.
The good news is that the Nuclear Research and Consultancy Group (NRG) has set a date to restart its High Flux Reactor in Petten, Netherlands, for the manufacture of medical isotopes.
The bad news is that the date is February 16, 2009, extending total downtime for the facility to six months.
To get the reactor back online, the engineering firm working on repairing the reactor must fix a pipe wall of the primary coolant system. In its announcement, the NRG described the repair as a "particularly complex matter," which will require "considerable effort."
With the NRG contributing between 30% and 40% of the world's medical isotope production, the unplanned shutdown of the reactor has resulted in shortages, which now could continue until February.
During a meeting of the Association of Imaging Producers & Equipment Suppliers (AIPES) on October 13, NRG updated the Petten situation, so other isotope producers may make their own measures to limit shortages as much as possible.
According to the NRG, the conclusion at the meeting is that supply will continue to be limited, with delivery "vulnerable and with limited guarantee."
Related Reading
Dutch reactor opening delayed another month, September 19, 2008
Dutch reactor down two more months, September 8, 2008
European group meets over isotope supply, September 4, 2008
AECL: Increased production won't cover demand, August 29, 2008
SNM has 'serious concerns' over isotope situation, August 28, 2008
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![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)





