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CoreSlicer:一种用于分析形态组学的网络工具包。

CoreSlicer: a web toolkit for analytic morphomics.

作者信息

Mullie Louis, Afilalo Jonathan

机构信息

Department of Medicine, McGill University, 3755 Cote Ste Catherine Rd, E-222, Montreal, QC, H3T 1E2, Canada.

Division of Cardiology, McGill University, Montreal, QC, Canada.

出版信息

BMC Med Imaging. 2019 Feb 11;19(1):15. doi: 10.1186/s12880-019-0316-6.

Abstract

BACKGROUND

Analytic morphomics, or more simply, "morphomics," refers to the measurement of specific biomarkers of body composition from medical imaging, most commonly computed tomography (CT) images. An emerging body of literature supports the use of morphomic markers measured on single-slice CT images for risk prediction in a range of clinical populations. However, uptake by healthcare providers been limited due to the lack of clinician-friendly software to facilitate measurements. The objectives of this study were to describe the interface and functionality of CoreSlicer- a free and open-source web-based interface aiming to facilitate measurement of analytic morphomics by clinicians - and to validate muscle and fat measurements performed in CoreSlicer against reference software.

RESULTS

Measurements of muscle and fat obtained in CoreSlicer show high agreement with established reference software. CoreSlicer features a full set of DICOM viewing tools and extensible plugin interface to facilitate rapid prototyping and validation of new morphomic markers by researchers. We present published studies illustrating the use of CoreSlicer by clinicians with no prior knowledge of medical image segmentation techniques and no formal training in radiology, where CoreSlicer was successfully used to predict operative risk in three distinct populations of cardiovascular patients.

CONCLUSIONS

CoreSlicer enables extraction of morphomic markers from CT images by non-technically skilled clinicians. Measurements were reproducible and accurate in relation to reference software.

摘要

背景

分析形态学,或更简单地说“形态学”,是指从医学影像中测量身体成分的特定生物标志物,最常见的是计算机断层扫描(CT)图像。越来越多的文献支持使用在单层CT图像上测量的形态学标志物对一系列临床人群进行风险预测。然而,由于缺乏便于测量的临床医生友好型软件,医疗服务提供者的采用率一直有限。本研究的目的是描述CoreSlicer的界面和功能——一个免费的基于网络的开源界面,旨在方便临床医生进行分析形态学测量——并验证在CoreSlicer中进行的肌肉和脂肪测量与参考软件的一致性。

结果

在CoreSlicer中获得的肌肉和脂肪测量结果与既定的参考软件高度一致。CoreSlicer具有一整套DICOM查看工具和可扩展插件界面,便于研究人员快速开发新的形态学标志物并进行验证。我们展示了已发表的研究,这些研究说明了临床医生在没有医学图像分割技术的先验知识且没有接受过放射学正式培训的情况下使用CoreSlicer的情况,在这些研究中,CoreSlicer成功用于预测三类不同心血管疾病患者群体的手术风险。

结论

CoreSlicer使非技术熟练的临床医生能够从CT图像中提取形态学标志物。与参考软件相比,测量结果具有可重复性和准确性。

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