Test of an interventional X-ray guidance device approved by the U.S. Food and Drug Administration in 2013 has the potential to reduce the radiation exposure of patients undergoing intra-arterial therapy (IAT) for liver cancer, say Johns Hopkins researchers.
In a report prepared for presentation Dec. 3 at the 100th annual meeting of the Radiological Society of North America in Chicago), the researchers described the results of a clinical trial of the imaging system AlluraClarity, made by Philips Healthcare, on 50 patients with liver cancer. Its use reduced radiation exposure up to 80 percent, compared with exposure from a standard imaging X-ray platform used in IAT, while producing images just as clear as the standard system, says Jean-Francois Geschwind, M.D., a professor in the Russell H. Morgan Department of Radiology and Radiological Science in the Johns Hopkins University School of Medicine and its Kimmel Cancer Center.
Geschwind says if further studies continue to affirm his team's findings, the platform may be especially useful for patients who need repeat therapy; children, who are especially vulnerable to radiation; and physicians who routinely use procedures such as IAT and are exposed to radiation.
Geschwind and his colleagues compared the radiation exposure of 25 patients with liver cancer treated with IAT using the AlluraClarity platform to the exposure of 25 additional patients with liver cancer treated with IAT using Philips' previous X-ray imaging platform, called Allura.
Lowering the radiation power on standard X-ray imaging platforms can reduce the exposure, but without special image processing, the amount of image noise increases and physicians are unable to see small structures needed for good treatment, says Ruediger Schernthaner, M.D., a postdoctoral research fellow in vascular and interventional radiology at The Johns Hopkins Hospital. "You can compare this to an image taken with your cell phone in the evening without a flash," he says.
The AlluraClarity platform uses a series of real-time image processing algorithms to achieve high quality images at a lower radiation power, Schernthaner says.