New York University Medical Center Department of Radiology, 660 First Avenue, New York, NY 10016.
New York University Medical Center Department of Radiology, 660 First Avenue, New York, NY 10016.
Acad Radiol. 2018 Feb;25(2):244-249. doi: 10.1016/j.acra.2017.08.016. Epub 2017 Nov 6.
Correlation of imaging studies and reference standard outcomes is a significant challenge in radiology. This study evaluates the effectiveness of a new communication tool by assessing the ability of this system to correctly match the imaging studies to arthroscopy reports and qualitatively assessing radiologist behavior before and after the implementation of this system.
Using a commercially available communication or educational tool and applying a novel matching rule algorithm, radiology and arthroscopy reports were matched from January 17, 2017 to March 1, 2017 based on anatomy. The interpreting radiologist was presented with email notifications containing the impression of the imaging report and the entire arthroscopy report. Total correlation rate of appropriate report pairings, modality-specific correlation rate, and the anatomy-specific correlation rate were calculated. Radiologists using the system were given a survey.
Overall correlation rate for all musculoskeletal imaging was 83.1% (433 or 508). Low correlation was found in fluoroscopic procedures at 74.4%, and the highest correlation was found with ultrasound at 88.4%. Anatomic location varied from 51.6% for spine to 98.8% for hips and pelvis studies. Survey results revealed 87.5% of the respondents reporting being either satisfied or very satisfied with the new communication tool. The survey also revealed that some radiologists reviewed more cases than before.
Matching of radiology and arthroscopy reports by anatomy allows for excellent report correlation (83.1%). Automated correlation improves the quality and efficiency of feedback to radiologists, providing important opportunities for learning and improved accuracy.
影像学研究与参考标准结果的相关性是放射学中的一个重大挑战。本研究通过评估该系统将影像学研究与关节镜报告正确匹配的能力，并定性评估该系统实施前后放射科医生的行为，来评估一种新的沟通工具的有效性。
使用市售的沟通或教育工具，并应用一种新的匹配规则算法，基于解剖学，从 2017 年 1 月 17 日至 2017 年 3 月 1 日将放射科和关节镜报告匹配。向解释放射科医生提供包含影像学报告印象和整个关节镜报告的电子邮件通知。计算适当报告配对的总相关率、特定模态的相关率和特定解剖结构的相关率。使用该系统的放射科医生接受了一项调查。
所有肌肉骨骼影像学的总体相关率为 83.1%（433 或 508）。透视检查的相关率较低，为 74.4%，超声检查的相关率最高，为 88.4%。解剖部位从脊柱的 51.6%到臀部和骨盆研究的 98.8%不等。调查结果显示，87.5%的受访者表示对新的沟通工具满意或非常满意。调查还显示，一些放射科医生比以前审查了更多的病例。
通过解剖学匹配放射科和关节镜报告可以实现出色的报告相关性（83.1%）。自动相关性提高了反馈给放射科医生的质量和效率，为学习和提高准确性提供了重要机会。
