HeLLePhant：一种模拟非小细胞肺癌的体模，用于CT图像纹理分析。

HeLLePhant: A phantom mimicking non-small cell lung cancer for texture analysis in CT images.

作者信息

Rinaldi Lisa, Pezzotta Federico, Santaniello Tommaso, De Marco Paolo, Bianchini Linda, Origgi Daniela, Cremonesi Marta, Milani Paolo, Mariani Manuel, Botta Francesca

机构信息

Department of Physics, Università degli Studi di Pavia and INFN, via Bassi 6, 27100 Pavia, Italy; Radiation Research Unit, IEO, European Institute of Oncology IRCCS, via Ripamonti 435, 20141 Milan, Italy.

CIMaINa, Department of Physics, Università degli Studi di Milano, via Celoria 16, 20133, Milan, Italy.

出版信息

Phys Med. 2022 May;97:13-24. doi: 10.1016/j.ejmp.2022.03.010. Epub 2022 Mar 22.

DOI:10.1016/j.ejmp.2022.03.010

PMID:35334407

Abstract

PURPOSE

Phantoms mimicking human tissue heterogeneity and intensity are required to establish radiomic features robustness in Computed Tomography (CT) images. We developed inserts with two different techniques for the radiomic study of Non-Small Cell Lung Cancer (NSCLC) lesions.

METHODS

We developed two insert prototypes: two 3D-printed made of glycol-modified polyethylene terephthalate (PET-G), and nine with sodium polyacrylate plus iodinated contrast medium. The inserts were put in a handcraft phantom (HeLLePhant). We also analysed four materials of a commercial homogeneous phantom (Catphan® 424) and collected 29 NSCLC patients for comparison. All the CT acquisitions were performed with the same clinical protocol and scanner at 120kVp. The HeLLePhant phantom was scanned ten times in fixed condition at 120kVp and 100kVp for repeatability investigation. We extracted 153 radiomic features using Pyradiomics. To compare the features between phantoms and patients, we computed how many phantom features fell in the range between 10th and 90th percentile of the corresponding patient values. We deemed repeatable the features with a coefficient of variation (CV) less than or equal to 0.10.

RESULTS

The best similarity with the patients was obtained with the polyacrylate inserts (55.6-90.2%), the worst with Catphan (15.7-19.0%). For the PET-G inserts 35.3% and 36.6% of the features match the patient range. We found high repeatability for all the inserts of the HeLLePhant phantom (74.3-100% at 120kVp, 75.7-97.9% at 100kVp), and observed a texture dependency in repeatability.

CONCLUSIONS

Our study shows a promising way to construct heterogeneous inserts mimicking a target tissue for radiomic studies.

摘要

目的

为在计算机断层扫描（CT）图像中建立放射组学特征的稳健性，需要模拟人体组织异质性和密度的体模。我们开发了两种不同技术的插入物，用于非小细胞肺癌（NSCLC）病变的放射组学研究。

方法

我们开发了两种插入物原型：两个由乙二醇改性聚对苯二甲酸乙二酯（PET-G）3D打印而成，九个由聚丙烯酸钠加碘化造影剂制成。将插入物放入手工制作的体模（HeLLePhant）中。我们还分析了一种商用均匀体模（Catphan® 424）的四种材料，并收集了29例NSCLC患者进行比较。所有CT扫描均采用相同的临床方案，在120kVp下使用同一台扫描仪进行。在固定条件下，以120kVp和100kVp对HeLLePhant体模进行了十次扫描，以进行重复性研究。我们使用Pyradiomics提取了153个放射组学特征。为了比较体模和患者之间的特征，我们计算了有多少体模特征落在相应患者值的第10百分位数和第90百分位数之间的范围内。我们认为变异系数（CV）小于或等于0.10的特征具有可重复性。

结果

聚丙烯酸酯插入物与患者的相似度最高（55.6-90.2%），Catphan体模最差（15.7-19.0%）。对于PET-G插入物，35.3%和36.6%的特征与患者范围匹配。我们发现HeLLePhant体模的所有插入物都具有很高的重复性（120kVp时为74.3-100%，100kVp时为75.7-97.9%），并且观察到重复性与纹理有关。