- AI
- Molecular Imaging
- CT
- X-Ray
- Ultrasound
- MRI
- Facility Management
- Mammography
MTI restructuring lowers debt
Imaging services provider MobileTechnology (MTI) has completed a restructuring effort that sawthe firm upgrade its MRI fleet and convert $80 million worth ofdebt to equity. The company reported this month that its strategyof expanding its stable of fixed
Imaging services provider MobileTechnology (MTI) has completed a restructuring effort that sawthe firm upgrade its MRI fleet and convert $80 million worth ofdebt to equity. The company reported this month that its strategyof expanding its stable of fixed sites is moving forward, withnine fixed sites scheduled to be up and running by the end ofthe summer.
MTI began restructuring last year in response to a heavy debtload and an ailing mobile business (SCAN 1/27/93 and 3/10/93).As part of the restructuring, MTI renegotiated its obligationswith major lenders, resulting in a 75% reduction in the firm'sdebt service. The Los Angeles firm also moved to upgrade its agingMRI fleet. It has acquired 21 new MRI units over the past 18 months,while selling or retiring older units, according to presidentand CEO Joseph Cilurzo.
"The net result is that we have renewed many hospitalcontracts, provided better service to our customers and significantlyupgraded our fleet," Cilurzo said.
In addition, MTI is planning increased emphasis on therapyservices, including lithotripsy and high dose rate brachytherapy.MTI will begin mobile high dose rate brachytherapy service inthe third quarter of this year through a partnership with Nucletron.
Can AI Enhance PET/MRI Assessment for Extraprostatic Tumor Extension in Patients with PCa?
December 17th 2024The use of an adjunctive machine learning model led to 17 and 21 percent improvements in the AUC and sensitivity rate, respectively, for PET/MRI in diagnosing extraprostatic tumor extension in patients with primary prostate cancer.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.
