Suppr超能文献

胎儿 MRI 放射组学:无创且可重复的人类肺成熟度定量分析。

Fetal MRI radiomics: non-invasive and reproducible quantification of human lung maturity.

机构信息

Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Austria.

Department of Obstetrics and Gynecology, Medical University of Vienna, Spitalgasse 23, 1090, Vienna, Vienna, Austria.

出版信息

Eur Radiol. 2023 Jun;33(6):4205-4213. doi: 10.1007/s00330-022-09367-1. Epub 2023 Jan 6.

Abstract

OBJECTIVES

To assess the reproducibility of radiomics features extracted from the developing lung in repeated in-vivo fetal MRI acquisitions.

METHODS

In-vivo MRI (1.5 Tesla) scans of 30 fetuses, each including two axial and one coronal T2-weighted sequences of the whole lung with all other acquisition parameters kept constant, were retrospectively identified. Manual segmentation of the lungs was performed using ITK-Snap. One hundred radiomics features were extracted from fetal lung MRI data using Pyradiomics, resulting in 90 datasets. Intra-class correlation coefficients (ICC) of radiomics features were calculated between baseline and repeat axial acquisitions and between baseline axial and coronal acquisitions.

RESULTS

MRI data of 30 fetuses (12 [40%] females, 18 [60%] males) at a median gestational age of 24 + 5 gestational weeks plus days (GW) (interquartile range [IQR] 3 + 3 GW, range 21 + 1 to 32 + 6 GW) were included. Median ICC of radiomics features between baseline and repeat axial MR acquisitions was 0.92 (IQR 0.13, range 0.33 to 1), with 60 features exhibiting excellent (ICC > 0.9), 27 good (> 0.75-0.9), twelve moderate (0.5-0.75), and one poor (ICC < 0.5) reproducibility. Median ICC of radiomics features between baseline axial and coronal MR acquisitions was 0.79 (IQR 0.15, range 0.2 to 1), with 20 features exhibiting excellent, 47 good, 29 moderate, and four poor reproducibility.

CONCLUSION

Standardized in-vivo fetal MRI allows reproducible extraction of lung radiomics features. In the future, radiomics analysis may improve diagnostic and prognostic yield of fetal MRI in normal and pathologic lung development.

KEY POINTS

• Non-invasive fetal MRI acquired using a standardized protocol allows reproducible extraction of radiomics features from the developing lung for objective tissue characterization. • Alteration of imaging plane between fetal MRI acquisitions has a negative impact on lung radiomics feature reproducibility. • Fetal MRI radiomics features reflecting the microstructure and shape of the fetal lung could complement observed-to-expected lung volume in the prediction of postnatal outcome and optimal treatment of fetuses with abnormal lung development in the future.

摘要

目的

评估从反复体内胎儿 MRI 采集的发育中肺中提取的放射组学特征的可重复性。

方法

回顾性确定了 30 例胎儿的体内 MRI(1.5T)扫描,每个胎儿包括两次轴向和一次冠状 T2 加权全肺序列,所有其他采集参数保持不变。使用 ITK-Snap 对肺进行手动分割。使用 Pyradiomics 从胎儿肺 MRI 数据中提取 100 个放射组学特征,得到 90 个数据集。计算基线和重复轴向采集之间以及基线轴向和冠状采集之间放射组学特征的组内相关系数(ICC)。

结果

纳入了 30 例胎儿(12 例[40%]女性,18 例[60%]男性)的 MRI 数据,中位胎龄为 24+5 周加天(中位数[IQR]3+3 周加天,范围 21+1 至 32+6 周加天)。基线和重复轴向 MR 采集之间放射组学特征的中位 ICC 为 0.92(IQR 0.13,范围 0.33 至 1),其中 60 个特征表现出极好(ICC>0.9),27 个表现出良好(0.75-0.9),12 个表现出中等(0.5-0.75),1 个表现出较差(ICC<0.5)的可重复性。基线轴向和冠状 MR 采集之间放射组学特征的中位 ICC 为 0.79(IQR 0.15,范围 0.2 至 1),其中 20 个特征表现出极好,47 个表现出良好,29 个表现出中等,4 个表现出较差的可重复性。

结论

标准化的体内胎儿 MRI 允许可重复地从发育中的肺部提取肺部放射组学特征。在未来,放射组学分析可能会提高正常和病理性肺部发育中胎儿 MRI 的诊断和预后能力。

关键点

• 使用标准化方案进行的非侵入性胎儿 MRI 允许从发育中的肺部可重复地提取放射组学特征,用于客观的组织特征描述。

• 胎儿 MRI 采集之间的成像平面改变对肺部放射组学特征的可重复性有负面影响。

• 反映胎儿肺部微观结构和形状的胎儿 MRI 放射组学特征可以补充观察到的与预期的肺容量,以预测出生后的结果,并为未来有异常肺部发育的胎儿提供最佳治疗。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/506d/10182107/24f40701cd6d/330_2022_9367_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验