Chilaca-Rosas Maria-Fatima, Garcia-Lezama Melissa, Moreno-Jimenez Sergio, Roldan-Valadez Ernesto
Radiotherapy Department, Hospital de Oncología, Centro Medico Nacional Siglo XXI, Instituto Mexicano del Seguro Social, Mexico City 06720, Mexico.
Directorate of Research, Hospital General de Mexico "Dr Eduardo Liceaga", Mexico City 06720, Mexico.
Diagnostics (Basel). 2023 Feb 23;13(5):849. doi: 10.3390/diagnostics13050849.
Radiomics refers to a recent area of knowledge that studies features extracted from different imaging techniques and subsequently transformed into high-dimensional data that can be associated with biological events. Diffuse midline gliomas (DMG) are one of the most devastating types of cancer, with a median survival of approximately 11 months after diagnosis and 4-5 months after radiological and clinical progression.
A retrospective study. From a database of 91 patients with DMG, only 12 had the H3.3K27M mutation and brain MRI DICOM files available. Radiomic features were extracted from MRI T1 and T2 sequences using LIFEx software. Statistical analysis included normal distribution tests and the Mann-Whitney U test, ROC analysis, and calculation of cut-off values.
A total of 5760 radiomic values were included in the analyses. AUROC demonstrated 13 radiomics with statistical significance for progression-free survival (PFS) and overall survival (OS). Diagnostic performance tests showed nine radiomics with specificity for PFS above 90% and one with a sensitivity of 97.2%. For OS, 3 out of 4 radiomics demonstrated between 80 and 90% sensitivity.
Several radiomic features demonstrated statistical significance and have the potential to further aid DMG diagnostic assessment non-invasively. The most significant radiomics were first- and second-order features with GLCM texture profile, GLZLM_GLNU, and NGLDM_Contrast.
放射组学是一个新兴的知识领域，它研究从不同成像技术中提取的特征，并随后将其转化为可与生物学事件相关联的高维数据。弥漫性中线胶质瘤（DMG）是最具毁灭性的癌症类型之一，诊断后的中位生存期约为11个月，放射学和临床进展后的中位生存期为4 - 5个月。
一项回顾性研究。在一个包含91例DMG患者的数据库中，只有12例具有H3.3K27M突变且有脑部MRI DICOM文件。使用LIFEx软件从MRI T1和T2序列中提取放射组学特征。统计分析包括正态分布检验、曼 - 惠特尼U检验、ROC分析以及临界值计算。
分析共纳入5760个放射组学值。AUROC显示有13个放射组学特征对无进展生存期（PFS）和总生存期（OS）具有统计学意义。诊断性能测试表明，9个放射组学特征对PFS的特异性高于90%，1个特征的敏感性为97.2%。对于OS，4个放射组学特征中有3个的敏感性在80%至90%之间。
几个放射组学特征具有统计学意义，并且有可能进一步无创地辅助DMG的诊断评估。最显著的放射组学特征是具有GLCM纹理轮廓、GLZLM_GLNU和NGLDM_对比度的一阶和二阶特征。
