Radiation therapy firm TomoTherapy of Madison, WI, posted its second quarter (end-June 30) financial results and announced a contract with a Swedish hospital.
For the period, the company reported revenues of $52 million, an increase of 19% from $43.7 million in the second quarter of 2007. Net loss for the quarter was $6.9 million, compared to a pro forma net loss of $700,000 for the same period last year.
In addition, TomoTherapy removed orders totaling approximately $53 million from its backlog, which it attributed to economic issues, uncertain timing of shipments to its Japanese distributor, and the loss of two customers.
For the six months ending June 30, TomoTherapy reported revenues of $90.9 million, a 4% decrease from $94.9 million for the six months ended June 30, 2007. The net loss for the period was $13 million, compared to a pro forma net income of $3.2 million in 2007.
The company also announced a contract with Lund University Hospital in Sweden for its Hi-Art treatment system, which performs intensity-modulated radiation therapy.
Related Reading
TomoTherapy readies TQA, July 25, 2008
TomoTherapy to buy Japanese distributor, July 9, 2008
TomoTherapy posts Q1 prelims, buys Chinese linac firm, April 18, 2008
TomoTherapy wins Wisconsin vet contract, March 28, 2008
TomoTherapy posts strong Q4, February 14, 2008
Copyright © 2008 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)
