Syncor acquires Trinidad and Tobago MRI center
Syncor Overseas, a subsidiary of nuclear pharmaceutical and medical imaging company Syncor, has acquired MRI Trinidad and Tobago, an MRI center in Port of Spain, Trinidad and Tobago. Syncor acquired the center from Magnetic Resonance Imaging of Trinidad
Syncor Overseas, a subsidiary of nuclear pharmaceutical and medical imaging company Syncor, has acquired MRI Trinidad and Tobago, an MRI center in Port of Spain, Trinidad and Tobago.
Syncor acquired the center from Magnetic Resonance Imaging of Trinidad and Tobago Ltd., said Mike Mikity, Syncors senior vice president and chief financial officer. The Woodland Hills, CA-based company already operates imaging centers in Puerto Rico, Mexico, and Colombia.
MRI Trinidad and Tobago generated $1 million in 1999 and Syncor expects the new center to make money for the company this year, Mikity said. Another Syncor subsidiary, Comprehensive Medical Imaging, operates 42 domestic and seven international imaging centers.
Correction:An article in SCAN 4/12/00 stated that a Syncor subsidiary operates 43 PET centers in Florida, Arizona, and Southern California. It should have said Comprehensive Medical Imaging operates 43 imaging centers in those states. Syncor plans to open its first PET center sometime in the third quarter 2000 in Rancho Mirage, CA.
Newsletter
Stay at the forefront of radiology with the Diagnostic Imaging newsletter, delivering the latest news, clinical insights, and imaging advancements for today’s radiologists.
Study Shows Enhanced Diagnosis of Coronary Artery Stenosis with Photon-Counting CTA
July 10th 2025In a new study comparing standard resolution and ultra-high resolution modes for patients undergoing coronary CTA with photon-counting detector CT, researchers found that segment-level sensitivity and accuracy rates for diagnosing coronary artery stenosis were consistently > 89.6 percent.
Can CT-Based Deep Learning Bolster Prognostic Assessments of Ground-Glass Nodules?
June 19th 2025Emerging research shows that a multiple time-series deep learning model assessment of CT images provides 20 percent higher sensitivity than a delta radiomic model and 56 percent higher sensitivity than a clinical model for prognostic evaluation of ground-glass nodules.
