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Evaluation of Technical Performance of Ultrasound-Guided Procedures through Hand Motion Analysis: An Exploration of Motion Metrics
Institution:1. Department of Radiology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, Massachusetts;2. Department of Anesthesiology, Pain Management, and Perioperative Medicine, Henry Ford Health, Detroit, Michigan;3. Department of Anesthesiology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, Massachusetts;1. Division of Plastic Surgery, Department of Surgery, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania;2. Section of Interventional Radiology, Department of Radiology, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania;3. Center for Lymphatic Imaging and Interventions, Hospital of the University of Pennsylvania, Philadelphia, Pennsylvania;1. Department of Radiology, Yale New Haven Health Bridgeport Hospital, Bridgeport, Connecticut;2. Division of Interventional Radiology, Department of Radiology and Biomedical Imaging, Yale School of Medicine, 333 Cedar St., New Haven, CT 06510;1. Philadelphia College of Osteopathic Medicine, Philadelphia, Pennsylvania;2. Department of Bioethics, Columbia University, New York, New York;3. Frank Netter School of Medicine at Quinnipiac University, New Haven, Connecticut;4. Department of Vascular and Interventional Radiology, ChristianaCare, Newark, Delaware;5. Department of Diagnostic and Interventional Radiology, University of Texas Health Science Center at Houston (UTHealth), McGovern Medical School, Houston, Texas;1. Boston University Chobanian & Avedisian School of Medicine, Boston, MA;2. Department of Radiology, Beth Israel Deaconess Medical Center, 330 Brookline Ave., Boston, MA 02215
Abstract:PurposeTo evaluate the ability of hand motion analysis using conventional and new motion metrics to differentiate between operators of varying levels of experience for central venous access (CVA) and liver biopsy (LB).Materials and MethodsIn the CVA task, 7 interventional radiologists (experts), 10 senior trainees, and 5 junior trainees performed ultrasound-guided CVA on a standardized manikin; 5 trainees were retested after 1 year. In the LB task, 4 radiologists (experts) and 7 trainees biopsied a lesion on a manikin. Conventional motion metrics (path length and task time), a refined metric (translational movements), and new metrics (rotational sum and rotational movements) were calculated.ResultsIn the CVA task, experts outperformed trainees on all metrics (P < .02). Senior trainees required fewer rotational movements (P = .02), translational movements (P = .045), and time (P = .001) than junior trainees. Similarly, on 1-year follow-up, trainees had fewer translational (P = .02) and rotational (P = .003) movements with less task time (P = .003). The path length and rotational sum were not different between junior and senior trainees or for trainees on follow-up. Rotational and translational movements had greater area under the curve values (0.91 and 0.86, respectively) than the rotational sum (0.73) and path length (0.61). In the LB task, experts performed the task with a shorter path length (P = .04), fewer translational (P = .04) and rotational (P = .02) movements, and less time (P < .001) relative to the trainees.ConclusionsHand motion analysis using translational and rotational movements was better at differentiating levels of experience and improvement with training than the conventional metric of path length.
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