Imagerie Moléculaire In Vivo, CEA, Inserm, Univ Paris Sud, CNRS, Université Paris Saclay, Orsay, France.
Inserm U1030 and Department of Radiotherapy, Gustave Roussy, University Paris Sud, Université Paris Saclay, Villejuif, France.
Cancer Res. 2018 Aug 15;78(16):4786-4789. doi: 10.1158/0008-5472.CAN-18-0125. Epub 2018 Jun 29.
Textural and shape analysis is gaining considerable interest in medical imaging, particularly to identify parameters characterizing tumor heterogeneity and to feed radiomic models. Here, we present a free, multiplatform, and easy-to-use freeware called LIFEx, which enables the calculation of conventional, histogram-based, textural, and shape features from PET, SPECT, MR, CT, and US images, or from any combination of imaging modalities. The application does not require any programming skills and was developed for medical imaging professionals. The goal is that independent and multicenter evidence of the usefulness and limitations of radiomic features for characterization of tumor heterogeneity and subsequent patient management can be gathered. Many options are offered for interactive textural index calculation and for increasing the reproducibility among centers. The software already benefits from a large user community (more than 800 registered users), and interactions within that community are part of the development strategy. This study presents a user-friendly, multi-platform freeware to extract radiomic features from PET, SPECT, MR, CT, and US images, or any combination of imaging modalities. .
纹理和形状分析在医学成像中越来越受到关注，特别是用于识别肿瘤异质性的特征参数，并为放射组学模型提供数据。在这里，我们介绍了一个免费的、多平台的、易于使用的免费软件，称为 LIFEx，它可以从 PET、SPECT、MR、CT 和 US 图像中计算常规的、基于直方图的、纹理和形状特征，或者从任何组合的成像方式中计算。该应用程序不需要任何编程技能，是为医学成像专业人员开发的。其目的是收集独立的、多中心的证据，证明放射组学特征对于肿瘤异质性的特征描述以及后续的患者管理的有用性和局限性。该软件为交互式纹理指数计算和提高中心间的可重复性提供了许多选项。该软件已经拥有一个庞大的用户社区（超过 800 名注册用户），社区内的互动是开发策略的一部分。本研究提出了一种用户友好的、多平台的免费软件，用于从 PET、SPECT、MR、CT 和 US 图像中提取放射组学特征，或者任何组合的成像方式。
