S Harrison Farber1, Gautam Nayar1, Rupen Desai2, Elizabeth W Reiser1, Sarah A Byrd1, Deborah Chi1, Cary Idler1, Robert E Isaacs3. 1. Department of Neurosurgery, Duke University Medical Center, Box 3807, Durham, NC, 27710, USA. 2. Department of Neurosurgery, Washington University School of Medicine in St. Louis, St. Louis, MO, USA. 3. Department of Neurosurgery, Duke University Medical Center, Box 3807, Durham, NC, 27710, USA. Robert.isaacs@duke.edu.
Abstract
PURPOSE: Radiation exposure is a necessary component of minimally invasive spine procedures to augment limited visualization of anatomy. The surgeon's exposure to ionizing radiation is not easily recognizable without a digital dosimeter-something few surgeons have access to. The aim of this study was to identify an easy alternative method that uses the available radiation dose data from the C-arm to accurately predict physician exposure. METHODS: The senior surgeon wore a digital dosimeter during all minimally invasive spine fusion procedures performed over a 12-month period. Patient demographics, procedure information, and radiation exposure throughout the procedure were recorded. RESULTS: Fifty-five minimally invasive spine fusions utilizing 330 percutaneous screws were included. Average radiation dose was 0.46 Rad/screw to the patient. Average radiation exposure to the surgeon was 1.06 ± 0.71 μSv/screw, with a strong positive correlation (r = 0.77) to patient dose. The coefficient of determination (r2) was 0.5928, meaning almost two-thirds of the variability in radiation exposure to the surgeon is explained by radiation exposure to the patient. CONCLUSIONS: Intra-operative radiation exposure to the patient, which is easily identifiable as a continuously updated fluoroscopic monitor, is a reliable predictor of radiation exposure to the surgeon during percutaneous screw placement in minimally invasive spinal fusion surgery and therefore can provide an estimate of exposure without the use of a dosimeter. With this, a surgeon can better understand the magnitude of their exposure on a case-by-case basis rather than on a quarterly basis, or more likely, not at all. These slides can be retrieved under Electronic Supplementary Material.
PURPOSE: Radiation exposure is a necessary component of minimally invasive spine procedures to augment limited visualization of anatomy. The surgeon's exposure to ionizing radiation is not easily recognizable without a digital dosimeter-something few surgeons have access to. The aim of this study was to identify an easy alternative method that uses the available radiation dose data from the C-arm to accurately predict physician exposure. METHODS: The senior surgeon wore a digital dosimeter during all minimally invasive spine fusion procedures performed over a 12-month period. Patient demographics, procedure information, and radiation exposure throughout the procedure were recorded. RESULTS: Fifty-five minimally invasive spine fusions utilizing 330 percutaneous screws were included. Average radiation dose was 0.46 Rad/screw to the patient. Average radiation exposure to the surgeon was 1.06 ± 0.71 μSv/screw, with a strong positive correlation (r = 0.77) to patient dose. The coefficient of determination (r2) was 0.5928, meaning almost two-thirds of the variability in radiation exposure to the surgeon is explained by radiation exposure to the patient. CONCLUSIONS: Intra-operative radiation exposure to the patient, which is easily identifiable as a continuously updated fluoroscopic monitor, is a reliable predictor of radiation exposure to the surgeon during percutaneous screw placement in minimally invasive spinal fusion surgery and therefore can provide an estimate of exposure without the use of a dosimeter. With this, a surgeon can better understand the magnitude of their exposure on a case-by-case basis rather than on a quarterly basis, or more likely, not at all. These slides can be retrieved under Electronic Supplementary Material.
Authors: Michael W Mariscalco; Takayuki Yamashita; Michael P Steinmetz; Ajit A Krishnaney; Isador H Lieberman; Thomas E Mroz Journal: Spine (Phila Pa 1976) Date: 2011-02-01 Impact factor: 3.468
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Authors: Dushyanth Srinivasan; Khoi D Than; Anthony C Wang; Frank La Marca; Page I Wang; Thomas C Schermerhorn; Paul Park Journal: World Neurosurg Date: 2014-08-01 Impact factor: 2.104