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协助经验不足的阅片者自动识别冠状动脉:两家商业供应商之间的比较

Automated Identification of Coronary Arteries in Assisting Inexperienced Readers: Comparison between Two Commercial Vendors.

作者信息

De Santis Domenico, Tremamunno Giuseppe, Rucci Carlotta, Polidori Tiziano, Zerunian Marta, Piccinni Giulia, Pugliese Luca, Masci Benedetta, Ubaldi Nicolò, Laghi Andrea, Caruso Damiano

机构信息

Department of Medical Surgical Sciences and Translational Medicine-Sapienza, University of Rome, Radiology Unit-Sant'Andrea University Hospital, Via di Grottarossa 1035-1039, 00189 Rome, Italy.

出版信息

Diagnostics (Basel). 2022 Aug 16;12(8):1987. doi: 10.3390/diagnostics12081987.

Abstract

Background: to assess the performance and speed of two commercially available advanced cardiac software packages in the automated identification of coronary vessels as an aiding tool for inexperienced readers. Methods: Hundred and sixty patients undergoing coronary CT angiography (CCTA) were prospectively enrolled from February until September 2021 and randomized in two groups, each one composed by 80 patients. Patients in group 1 were scanned on Revolution EVO CT Scanner (GE Healthcare), while patients in group 2 had the CCTA performed on Brilliance iCT (Philips Healthcare); each examination was evaluated on the respective vendor proprietary advanced cardiac software (software 1 and 2, respectively). Two inexperienced readers in cardiac imaging verified the software performance in the automated identification of the three major coronary vessels: (RCA, LCx, and LAD) and in the number of identified coronary segments. Time of analysis was also recorded. Results: software 1 correctly and automatically nominated 202/240 (84.2%) of the three main coronary vessels, while software 2 correctly identified 191/240 (79.6%) (p = 0.191). Software 1 achieved greater performances in recognizing the LCx (81.2% versus 67.5%; p = 0.048), while no differences have been reported in detecting the RCA (p = 0.679), and the LAD (p = 0.618). On a per-segment analysis, software 1 outperformed software 2, automatically detecting 942/1062 (88.7%) coronary segments, while software 2 detected 797/1078 (73.9%) (p < 0.001). Average reconstruction and detection time was of 13.8 s for software 1 and 21.9 s for software 2 (p < 0.001). Conclusions: automated cardiac software packages are a reliable and time-saving tool for inexperienced reader. Software 1 outperforms software 2 and might therefore better assist inexperienced CCTA readers in automated identification of the three main vessels and coronaries segments, with a consistent time saving of the reading session.

摘要

背景

评估两款商用先进心脏软件包在自动识别冠状动脉血管方面的性能和速度,作为帮助经验不足的阅片者的辅助工具。方法:2021年2月至9月前瞻性纳入160例行冠状动脉CT血管造影(CCTA)的患者,并随机分为两组,每组80例。第1组患者在Revolution EVO CT扫描仪(GE医疗)上进行扫描,而第2组患者在Brilliance iCT(飞利浦医疗)上进行CCTA检查;每次检查均使用各自供应商的专有先进心脏软件(分别为软件1和软件2)进行评估。两名心脏成像方面经验不足的阅片者验证了软件在自动识别三支主要冠状动脉血管(右冠状动脉、左旋支和左前降支)以及识别出的冠状动脉节段数量方面的性能。还记录了分析时间。结果:软件1正确自动识别出240支主要冠状动脉血管中的202支(84.2%),而软件2正确识别出191支(79.6%)(p = 0.191)。软件1在识别左旋支方面表现更优(81.2%对67.5%;p = 0.048),而在检测右冠状动脉(p = 0.679)和左前降支(p = 0.618)方面未报告有差异。在按节段分析中,软件1优于软件2,自动检测出1062个冠状动脉节段中的942个(88.7%),而软件2检测出1078个中的797个(73.9%)(p < 0.001)。软件1的平均重建和检测时间为13.8秒,软件2为21.9秒(p < 0.001)。结论:自动心脏软件包对于经验不足的阅片者是一种可靠且节省时间的工具。软件1优于软件2,因此可能在自动识别三支主要血管和冠状动脉节段方面更好地协助经验不足的CCTA阅片者,同时显著节省阅片时间。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/55bf/9406865/93c76266796f/diagnostics-12-01987-g001.jpg

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