Swedish PACS and digital mammography vendor Sectra has signed an agreement with British Telecommunications (BT) to provide PACS products and services to the majority of London's public hospitals, the Linköping-based vendor said.
BT is the local service provider for the National Health Service (NHS) London Programme for IT, which consists of 25 hospitals that perform more than 4 million radiology exams annually. It has been providing Sectra PACS to London hospitals via a former Sectra partner since 2004.
Under the agreement, Sectra will begin to assume responsibility for the support and maintenance of these existing installed systems, and will supply additional PACS products.
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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
Sectra and peerVue partner, November 20, 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)
