论著摘要 |【CT】肺结节和肺癌的影像组学(双语版)

2017-12-18 18:25:13 admin 2

Radiomics of pulmonary nodules and lung cancer.

发表日期: 2016.12.05   来源: Transl Lung Cancer Res. 2017 Feb;6(1):86-91.

作者

Ryan Wilson1, Anand Devaraj1.

作者介绍:

1. Royal Brompton Hospital, London, SW3 6NP, UK.

摘要

偶然或在基于CT的肺扫描期间遇到的大量不确定的肺结节给诊断和操作提供了相当大的挑战。常规结节评估依赖于如大小和投机这种视觉上可辨认的鉴别指标。然而这些可见的结节特征在数量上很小,并且具有相当大的解释变异性。随着肺癌新型靶向治疗的发展,早期肺肿瘤的诊断和鉴定非常重要。影像组学是一个发展中的领域,旨在从医学图像中获得自动化定量成像特征,进行非侵入性地预测结节和肿瘤行为。与传统的视觉图像特征相比,影像组学可以以更好的再现性充分提取更多数量的结节特征。本文总结了影像组学的基本过程,并概述了影像组学特征分析可能特别适合于评估肺结节的原因。考虑到在如预测恶性肿瘤,组织学亚型,基因表达和治疗后预后这些方面有可能的应用,我们将回顾其关于在肺结节操作上的临床应用的现有证据。影像组学通过成本效益和非侵入性的方法,有可能在早期诊断和个性化医学上改变肺结节的现有操作。

Abstract

The large number of indeterminate pulmonary nodules encountered incidentally or during CT-based lung screening provides considerable diagnostic and management challenges. Conventional nodule evaluation relies on visually identifiable discriminators such as size and speculation. These visible nodule features are however small in number and subject to considerable interpretation variability. With the development of novel targeted therapies for lung cancer the diagnosis and characterization of early stage lung tumours has never been more important. Radiomics is a developing field aimed at deriving automated quantitative imaging features from medical images that can predict nodule and tumour behavior non-invasively. In contrast to conventional visual image features radiomics can extract substantially greater numbers of nodule features with much better reproducibility. This paper summarizes the basic process of radiomics and outlines why radiomic feature analysis may be particularly well suited to the evaluation of lung nodules. We review the current evidence for its clinical application with regards to pulmonary nodule management, considering promising applications such as predicting malignancy, histological subtyping, gene expression and post-treatment prognosis. Radiomics has the potential to transform the management of pulmonary nodules offering early diagnosis and personalized medicine using a method that is in cost-effective and non-invasive.

关键词:

CT,肺癌,肺结节,放射学,放射组学

Keywords:

CT; Lung cancer; pulmonary nodules; radiology; radiomics

阅读原文:PMID: 28331828  PMCID: PMC5344835  DOI: 10.21037/tlcr.2017.01.04

 

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