New major service and support contracts contributed to an 11.8% increase in third-quarter net sales for Swedish PACS and digital mammography developer Sectra.
For the period (end-January), the Linköping-based vendor had net sales of 189.3 million kronor ($30.2 million U.S.), up from 169.4 million kronor ($27 million U.S.) posted in the third quarter a year ago. The company had profit after financial items of 14.4 million kronor ($2.3 million U.S.), down from profit of 26.2 million kronor ($4.2 million U.S.) last year.
The signing of large, long-term contracts during the quarter involved up-front costs that impacted profits during the initial period of the deals, Sectra said. In addition, an increasing portion of comprehensive delivery agreements have comprised both hardware and software components. These deals provide lower margins than software license sales, Sectra said.
Related Reading
Sectra wins PACS deal for London hospitals, January 3, 2008
Sectra signs German hospital, December 17, 2007
Sectra grows sales in Q2, December 4, 2007
Sectra scores Belgian digital mammo sale, November 28, 2007
Sectra, Synthetic MR join forces, November 21, 2007
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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&dpr=2&fit=crop&h=167&q=70&w=250)
