Following an election, the European Association of Nuclear Medicine (EANM) has named its incoming board members. Paola Anna Erba from Pisa, Italy, is to become the president elect.
The EANM announced that following people will comprise the board next term:
- Paola Anna Erba, president elect
- Felix Mottaghy, committee coordinator
- Michael Koole, scientific liaison officer
- Wolfgang Wadsak, secretary/treasurer
The new Board will take office on 1 January 2023.
Paola Anna Erba. Photo courtesy of EANM.Rudi Dierckx will take over as EANM president, Sona Balogova as education chair, and Valentina Garibotto as congress chair. The association added that both incumbent internal auditors, Lucia Kaliska and Bernd J. Krause, have been confirmed for a further term of office.
Also, from 13 to 16 December 2022, the EANM will be represented through the chair of the cardiovascular committee, Fabien Hyafil, and the current education chair, Erba, in different sessions at the IAEA´s International Conference on Integrated Medical Imaging in Cardiovascular Diseases (IMIC-2022).
![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&dpr=2&fit=crop&h=167&q=70&w=250)
