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Clinical study demonstrates biospace med's EOS, reduces patient’s radiation exposure compared to standard CR x-rays while substantially improving image quality

biospace med announced that a 50-patient clinical study published in the current issue of the peer-reviewed medical journal Spine demonstrates that the Company’s ultra-low-dose 2D/3D imaging system, EOS, shows “significantly better” image quality compared to a CR ( computed radiography ) x-ray system while “substantially reducing (a) patient’s (radiation) dose exposure” by up to 9 times (89%) compared to CR imaging. EOS is FDA -cleared and CE-marked.

The study1 was conducted under the supervision of principal investigator Stefan Parent, M.D., Ph.D., Centre Hospitalier Universitaire Sainte-Justine, Montreal. It included 50 patients (39 girls, 11 boys; average age = 14,8 years) followed for spine deformity. All patients received a CR (Fuji FCR 7501S) and an EOS exam for which skin dose was measured at skin level by dosimeters in 13 anatomical areas. Image quality was assessed following European Guidelines (EUR 16261EN). Results showed 97.2% of exams were considered of equal or better quality with EOS, while dose reduction factors ranked from 2.9 (neck) to 9.2 (iliac crest).

"Publication of this landmark study in the preeminent medical journal, Spine, is a key step in recognizing the value of our outstanding EOS technology in providing a solution to the issue of medical irradiation. It will fortify our efforts to further establish this revolutionary musculoskeletal imaging modality as a standard of care in orthopedic imaging,” said Dr. Marie Meynadier, CEO of biospace med. “EOS is a significant step in the application of the ALARA (“As Low As Reasonably Achievable”) principle for dose reduction,” added Dr. Meynadier.

EOS targets particularly the diagnosis, follow-up, preoperative assessment and postoperative follow-up of degenerative diseases and bone and joint deformities. EOS allows ultra-low-dose, full-body or localized imaging thanks to a proprietary detection technology. It allows three-dimensional (3D) images of the human skeleton as a result of software that reconstructs and models a patient’s bones from just two simultaneous images. This software also generates 3D measurements (lengths, angles) automatically, and can calculate a broad range of clinical parameters, some of which were hitherto inaccessible, but which are essential to diagnosis and surgical planning. The images and clinical parameters are obtained in standing or seated weight-bearing positions and thus reflect the bone and joint status of the patient's posture.

Source: biospace med

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