Ultrasound technology developer Misonix of Farmingdale, NY, has made a distribution deal with an Italian firm for its ultrasonic medical device technology, the company said.
The three-year, exclusive agreement allows private firm SIAD Healthcare of Milan to distribute in Italy Misonix's SonaStar ultrasonic surgical aspiration system, its BoneScalpel ultrasonic bone cutting system, and its SonicOne ultrasonic wound care system, Misonix said.
Related Reading
Misonix wins Chile contract, February 22, 2008
Sonora gets patent, October 17, 2007
Misonix reports fiscal 2007 results, September 21, 2007
Misonix reports successful prostate ablation results, June 6, 2007
Misonix reports HIFU hemiablation success, March 29, 2007
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)
