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1000-Case Reader Study of Radiologists' Performance in Interpretation of Automated Breast Volume Scanner Images with a Computer-Aided Detection System

机译:1000例读者读者辐射学师对计算机辅助检测系统自动仓库扫描仪图像解读中的性能研究

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The objective of our study was to assess, in a reader study, radiologists' performance in interpretation of automated breast volume scanner (ABVS) images with the aid of a computer-aided detection (CADe) system. Our study is a retrospective observer study with the purpose of investigating the effectiveness of using a CADe system as an aid for radiologists in interpretation of ABVS images. The multiple-reader, multiple-case study was designed to compare the diagnostic performance of radiologists with and without CADe. The study included 1000 cases selected from ABVS examinations in our institution in 2012. Among those cases were 206 malignant, 486 benign and 308 normal cases. The cancer cases were consecutive; the benign and normal cases were randomly selected. All malignant and benign cases were confirmed by biopsy or surgery, and normal cases were confirmed by 2-y follow-up. Reader performance was compared in terms of area under the receiver operating characteristic curve, sensitivity and specificity. Additionally, the reading time per case for each reader was recorded. Nine radiologists from our institution participated in the study. Three had more than 8 y of ultrasound experience and more than 4 y of ABVS experience (group A); 3 had more than 5 y of ultrasound experience (group B), and 3 had more than 1 y of ultrasound experience (group C). Both group B and group C had no ABVS experience. The CADe system used was the QVCAD System (QView Medical, Inc., Los Altos, CA, USA). It is designed to aid radiologists in searching for suspicious areas in ABVS images. CADe results are presented to the reader simultaneously with the ABVS images; that is, the radiologists read the ABVS images concurrently with the CADe results. The cases were randomly assigned for each reader into two equal-size groups, 1 and 2. Initially the readers read their group 1 cases with the aid of CADe and their group 2 cases without CADe. After a 1-mo washout period, they re-read their group 1 cases without CADe and their group 2 cases with CADe. The areas under the receiver operating characteristic curves of all readers were 0.784 for reading with CADe and 0.747 without CADe. Areas under the curves with and without CADe were 0.833 and 0.829 for group A, 0.757 and 0.696 for group B and 0.759 and 0.718 for group C. All differences in areas under the curve were statistically significant (p?<0.05), except that for group A. The average reading time was 9.3% (p?
机译:我们研究的目的是在读者研究中评估放射科医师在借助于计算机辅助检测(CADE)系统的自动隆重体积扫描仪(ABV)图像的解释性能。我们的研究是一种回顾性观察者研究,目的是研究使用CADE系统作为解释ABVS图像的放射科学家的辅助工具的有效性。多读者,多案例研究旨在比较放射科医生与无胶水的诊断性能。该研究包括2012年我们机构中的ABVS考试中的1000例。其中包括206名恶性,486康良和308例正常案件。癌症病例是连续的;随机选择良性和正常情况。所有恶性和良性病例均通过活组织检查或手术确认,并通过2-Y后续确认正常情况。在接收器下操作特征曲线,灵敏度和特异性的区域下比较读者性能。另外,记录每个读取器的每个案例的读取时间。来自我们机构的九人参加了这项研究。三个有超过8年的超声体验,超过4年的ABVS经验(A组); 3有超过5年的超声经验(B组),3个有超过1年的超声经验(C组)。 B组和组C组没有ABVS经验。使用的CADE系统是QVCAD系统(QView Medical,Inc.,Los Altos,CA,USA)。它旨在帮助放射科医师寻找ABVS图像中的可疑区域。 CADE结果与ABVS图像同时向读者呈现给读者;也就是说,放射科医生与CADE结果同时阅读ABVS图像。将该病例随机分配给每个读者分为两个相等尺寸的组,1和2。最初借助CADE及其组2例没有CADE的2例读者阅读其第1例。在1-Mo冲洗期后,他们重新阅读了他们的第1例,没有CADE及其第2族患者。所有读者的接收器操作特性曲线下的区域为0.784,用于阅读CADE和0.747没有CADE。对于组A,0.757和0.696组的曲线下的区域为0.833和0.829,对C组的0.757和0.718.曲线下的所有差异均有统计学意义(P?<0.05),除了A组。平均阅读时间为9.3%(P?<0.05),所有读者都更快。总之,CADE在使用ABVS检测乳腺癌的准确性和读取时间,改善放射科学性能,对于那些患有ABV的人具有更大的益处。

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  • 作者单位

    Department of Ultrasound First People's Hospital of Hangzhou Affiliated Hangzhou Hospital of;

    Department of Ultrasound First People's Hospital of Hangzhou Affiliated Hangzhou Hospital of;

    Department of Ultrasound First People's Hospital of Hangzhou Affiliated Hangzhou Hospital of;

    Department of Ultrasound First People's Hospital of Hangzhou Affiliated Hangzhou Hospital of;

    Department of Ultrasound First People's Hospital of Hangzhou Affiliated Hangzhou Hospital of;

    Department of Ultrasound First People's Hospital of Hangzhou Affiliated Hangzhou Hospital of;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 影像诊断学;
  • 关键词

    Automated; Ultrasound; Computer-aided detection; Image interpretation;

    机译:自动化;超声波;计算机辅助检测;图像解释;
  • 入库时间 2022-08-20 06:50:04

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