By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Carcinomas is the subject of a report. According to news originating from Munich, Germany, by NewsRx correspondents, research stated, “Although emerging clinical evidence supports robotic radiosurgery as a highly effective treatment option for renal c ell carcinoma (RCC) less than 4 cm in diameter, delivery uncertainties and assoc iated target volume margins have not been studied in detail. We assess intrafrac tion tumor motion patterns and accuracy of robotic radiosurgery in renal tumors with real-time respiratory tracking to optimize treatment margins.” Our news journalists obtained a quote from the research, “Delivery log files fro m 165 consecutive treatments of RCC were retrospectively analyzed. Five componen ts were considered for planning target volume (PTV) margin estimation: (a) The m odel error from the correlation model between patient breath and tumor motion, ( b) the prediction error from an algorithm predicting the patient breathing patte rn, ©the targeting error from the treatment robot, (d) the inherent total accur acy of the system for respiratory motion tracking, and (e) the margin required t o cover potential target rotation, simulated with PTV rotations up to 10°. The m edian tumor motion was 10.5 mm, 2.4 mm and 4.4 mm in the superior-inferior, left -right, and anterior-posterior directions, respectively. The root of the sum of squares of all contributions to the system’s inaccuracy results in a minimum PTV margin of 4.3 mm, 2.6 mm and 3.0 mm in the superior-inferior, left-right and an terior-posterior directions, respectively, assuming optimal fiducial position an d neglecting target deformation.”
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