Register Now: Image-Based Risk: The Next Frontier in Breast Cancer Screening
|Articles|March 29, 1995

Maxum posts higher 1994 results

The restructuring of mobile imaging firm Maxum Health resulted in the Dallas-based company postinga net profit of $4.2 million for fiscal 1994 (end-December). Maxumsaid it restructured most of its debt and leasing arrangementsin 1994 and entered into a

The restructuring of mobile imaging firm Maxum Health resulted in the Dallas-based company postinga net profit of $4.2 million for fiscal 1994 (end-December). Maxumsaid it restructured most of its debt and leasing arrangementsin 1994 and entered into a long-term contract with hospital giantColumbia/HCA to run an outpatient imaging center. Maxum beganthe restructuring effort in 1993 (SCAN 3/24/93).

Maxum posted year-end revenues of $45.9 million, up slightlyfrom $45.1 million the year before. The company's net income of$4.2 million represented a major turnaround from the $6.8 millionnet loss recorded in 1993. Much of Maxum's improvement in profitabilitywas attributable to several extraordinary gains, including $3.3million related to extinguishment of debt and $5 million for thesale of its lithotripsy partnership interests. The firm's operatingloss for 1994 stood at $2.8 million, compared to a $6 millionoperating loss in 1993.

Maxum earlier this year partnered with Columbia/HCA to purchaseArlington Diagnostic and Imaging Center in Arlington, VA. Thecenter is jointly owned by the two companies, with Maxum responsiblefor staffing and management.

Related to this article

Emerging Research Insights and New Advances in Neuroradiology
Catch up on key neuroradiology news and research from the past month, including recently published studies involving white matter hyperintensity findings on brain MRI, MRI-enhanced amyloid PET and the newly FDA-approved PET agent floretyrosine F18 for glioma imaging.
Current Perspectives on Integrating AI into Radiology
In a recent interview with Diagnostic Imaging, Joseph Cavallo, MD, MBA, offered insights on post-deployment monitoring with AI, the potential for improved workflow efficiency and the ongoing challenge of balancing essential clinical skills and AI literacy in the training of radiology residents and fellows.