Swedish PACS and digital mammography vendor Sectra of Linköping has received a multiyear deal to install its PACS software at the second largest hospital in Portugal.
Sectra will provide its software and services to Hospital de São João of Porto in a deal that covers all five public hospitals in the city. The hospital performs approximately 300,000 examinations annually, a figure that is projected to grow to 400,000 over the next few years with the integration of gastroenterology, cardiology, and other image-producing departments.
Related Reading
Sectra adds Cyprus order, March 4, 2009
Sectra reports positive Q3 numbers, March 3, 2009
Sectra plans ECR introductions, enters Greek market, February 9, 2009
Sectra debuts orthopedic PACS upgrade, February 5, 2009
Sectra adds PACS order, December 15, 2008
Copyright © 2009 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&dpr=2&fit=crop&h=167&q=70&w=250)
