基于MRI的影像组学在儿童疾病中的应用进展
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摘要
影像组学作为一种新兴的医学成像领域,通过从医学图像中获取高通量的图像特征进行一系列定性和定量分析,从而提供有关疾病的诊断和预后等信息。影像组学已成为精准医疗的重要组成部分,是目前的研究热点。但目前基于MRI的影像组学在儿童疾病中的应用较少。本文对基于MRI的影像组学在儿童疾病中的应用进展进行综述。
As an emerging field in medical imaging,radiomics performs a series of qualitative and quantitative analysis with extracting innumerable high-throughput features from medical images,providing information about the diagnosis and prognosis of diseases.Radiomics has become an important part of precision medicine,and received more and more attention.However,there were relatively few researches in the pediatric diseases with MRI-based radiomics.The progresses of MRI-based radiomics in pediatrics diseases were reviewed in this article.
As an emerging field in medical imaging,radiomics performs a series of qualitative and quantitative analysis with extracting innumerable high-throughput features from medical images,providing information about the diagnosis and prognosis of diseases.Radiomics has become an important part of precision medicine,and received more and more attention.However,there were relatively few researches in the pediatric diseases with MRI-based radiomics.The progresses of MRI-based radiomics in pediatrics diseases were reviewed in this article.
引文
[1] Aerts HJ,Velazquez ER,Leijenaar RT,et al.Decoding tumour phenotype by noninvasive imaging using aquantitative radiomics approach.Nat Commun,2014,5:4006.
[2] Eliat PA,OliviéD,Sa6kali S,et al.Can dynamic contrastenhanced magnetic resonance imaging combined with texture analysis differentiate malignant glioneuronal tumors from other glioblastoma?Neurol Res Int,2012,2012:195176.
[3] Lambin P,Rios-Velazquez E,Leijenaar R,et al.Radiomics:Extracting more information from medical images using advanced feature analysis.Eur J Cancer,2012,48(4):441-446.
[4] Guo Z,Shu Y,Zhou H,et al.Radiogenomics helps to achieve personalized therapy by evaluating patient responses to radiation treatment.Carcinogenesis,2015,36(3):307-317.
[5] Kumar V,Gu Y,Basu S,et al.Radiomics:The process and the challenges.Magn Reson Imaging,2012,30(9):1234-1248.
[6]孙航,李宏,张亭亭,等.Radiomics方法研究应用进展.肿瘤,2017,37(10):1092-1099.
[7]朱晨迪,张勇,程敬亮,等.MRI灰度直方图分析在髓母细胞瘤复发风险评估中的应用.中国介入影像与治疗学,2017,14(8):480-483.
[8]谢凯,孙鸿飞,林涛,等.影像组学中特征提取研究进展.中国医学影像技术,2017,33(12):1792-1796.
[9] Gillies RJ,Kinahan PE,Hricak H.Radiomics:Images are more than pictures,they are data.Radiology,2016,278(2):563-577.
[10] Gatenby RA,Grove O,Gillies RJ.Quantitative imaging in cancer evolution and ecology.Radiology,2013,269(1):8-15.
[11] Belden CJ,Valdes PA,Ran C,et al.Genetics of glioblastoma:A window into its imaging and histopathologic variability.Radiographics,2011,31(6):1717-1740.
[12] Coroller TP,Grossmann P,Hou Y,et al.CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma.Radiother Oncol,2015,114(3):345-350.
[13] Wang J,Kato F,Oyama-Manabe N,et al.Identifying triplenegativebreastcancerusingbackgroundparenchymal enhancement heterogeneity on dynamic contrast-enhanced MRI:A pilot radiomics study.PLoS One,2015,10(11):e0143308.
[14] Zinn PO,Majadan B,Sathyan P,et al.Radiogenomic mapping of edema/cellular invasion MRI-Phenotypes in glioblastoma multiforme.PLoS One,2011,6(10):e25451.
[15] Huang YQ,Liang CH,He L,et al.Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer.J Clin Oncol,2016,34(18):2157-2164.
[16] Banan R,Hartmann C.The new WHO 2016classification of brain tumors-what neurosurgeons need to know.Acta Neurochir(Wien),2017,159(3):403-418.
[17] Rodriguez Gutierrez D,Awwad A,Meijer L,et al.Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.AJNR Am J Neuroradiol,2014,35(5):1009-1015.
[18] Bull JG,Saunders DE,Clark CA.Discrimination of paediatric brain tumours using apparent diffusion coefficient histograms.Eur Radiol,2012,22(2):447-457.
[19] Wagner MW,Narayan AK,Bosemani T,et al.Histogram analysis of diffusion tensor imaging parameters in pediatric cerebellar tumors.J Neuroimaging,2016,26(3):360-365.
[20] Poussaint TY,Vajapeyam S,Ricci KI,et al.Apparent diffusion coefficient histogram metrics correlate with survival in diffuse intrinsic pontine glioma:A report from the Pediatric Brain Tumor Consortium.Neuro Oncol,2015,58(8):1264.
[21] Meeus EM,Zarinabad N,Manias KA,et al.Diffusion-weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors.J Magn Reson Imaging,2018,47(6):1475-1486.
[22] Zeng H, Huang W, Wen F,et al. MRI signal intensity differentiation of brainstem encephalitis induced by enterovirus71:A classification approach for acute and convalescence stages.Biomed Eng Online,2016,15:25.
[23] Cauley KA,Filippi CG.Apparent diffusion coefficient histogram analysis of neonatal hypoxic-ischemic encephalopathy.Pediatr Radiol,2014,44(6):738-746.
[24]刘再毅,梁长虹.促进影像组学的转化研究.中国医学影像技术,2017,33(12):1765-1767.
[2] Eliat PA,OliviéD,Sa6kali S,et al.Can dynamic contrastenhanced magnetic resonance imaging combined with texture analysis differentiate malignant glioneuronal tumors from other glioblastoma?Neurol Res Int,2012,2012:195176.
[3] Lambin P,Rios-Velazquez E,Leijenaar R,et al.Radiomics:Extracting more information from medical images using advanced feature analysis.Eur J Cancer,2012,48(4):441-446.
[4] Guo Z,Shu Y,Zhou H,et al.Radiogenomics helps to achieve personalized therapy by evaluating patient responses to radiation treatment.Carcinogenesis,2015,36(3):307-317.
[5] Kumar V,Gu Y,Basu S,et al.Radiomics:The process and the challenges.Magn Reson Imaging,2012,30(9):1234-1248.
[6]孙航,李宏,张亭亭,等.Radiomics方法研究应用进展.肿瘤,2017,37(10):1092-1099.
[7]朱晨迪,张勇,程敬亮,等.MRI灰度直方图分析在髓母细胞瘤复发风险评估中的应用.中国介入影像与治疗学,2017,14(8):480-483.
[8]谢凯,孙鸿飞,林涛,等.影像组学中特征提取研究进展.中国医学影像技术,2017,33(12):1792-1796.
[9] Gillies RJ,Kinahan PE,Hricak H.Radiomics:Images are more than pictures,they are data.Radiology,2016,278(2):563-577.
[10] Gatenby RA,Grove O,Gillies RJ.Quantitative imaging in cancer evolution and ecology.Radiology,2013,269(1):8-15.
[11] Belden CJ,Valdes PA,Ran C,et al.Genetics of glioblastoma:A window into its imaging and histopathologic variability.Radiographics,2011,31(6):1717-1740.
[12] Coroller TP,Grossmann P,Hou Y,et al.CT-based radiomic signature predicts distant metastasis in lung adenocarcinoma.Radiother Oncol,2015,114(3):345-350.
[13] Wang J,Kato F,Oyama-Manabe N,et al.Identifying triplenegativebreastcancerusingbackgroundparenchymal enhancement heterogeneity on dynamic contrast-enhanced MRI:A pilot radiomics study.PLoS One,2015,10(11):e0143308.
[14] Zinn PO,Majadan B,Sathyan P,et al.Radiogenomic mapping of edema/cellular invasion MRI-Phenotypes in glioblastoma multiforme.PLoS One,2011,6(10):e25451.
[15] Huang YQ,Liang CH,He L,et al.Development and validation of a radiomics nomogram for preoperative prediction of lymph node metastasis in colorectal cancer.J Clin Oncol,2016,34(18):2157-2164.
[16] Banan R,Hartmann C.The new WHO 2016classification of brain tumors-what neurosurgeons need to know.Acta Neurochir(Wien),2017,159(3):403-418.
[17] Rodriguez Gutierrez D,Awwad A,Meijer L,et al.Metrics and textural features of MRI diffusion to improve classification of pediatric posterior fossa tumors.AJNR Am J Neuroradiol,2014,35(5):1009-1015.
[18] Bull JG,Saunders DE,Clark CA.Discrimination of paediatric brain tumours using apparent diffusion coefficient histograms.Eur Radiol,2012,22(2):447-457.
[19] Wagner MW,Narayan AK,Bosemani T,et al.Histogram analysis of diffusion tensor imaging parameters in pediatric cerebellar tumors.J Neuroimaging,2016,26(3):360-365.
[20] Poussaint TY,Vajapeyam S,Ricci KI,et al.Apparent diffusion coefficient histogram metrics correlate with survival in diffuse intrinsic pontine glioma:A report from the Pediatric Brain Tumor Consortium.Neuro Oncol,2015,58(8):1264.
[21] Meeus EM,Zarinabad N,Manias KA,et al.Diffusion-weighted MRI and intravoxel incoherent motion model for diagnosis of pediatric solid abdominal tumors.J Magn Reson Imaging,2018,47(6):1475-1486.
[22] Zeng H, Huang W, Wen F,et al. MRI signal intensity differentiation of brainstem encephalitis induced by enterovirus71:A classification approach for acute and convalescence stages.Biomed Eng Online,2016,15:25.
[23] Cauley KA,Filippi CG.Apparent diffusion coefficient histogram analysis of neonatal hypoxic-ischemic encephalopathy.Pediatr Radiol,2014,44(6):738-746.
[24]刘再毅,梁长虹.促进影像组学的转化研究.中国医学影像技术,2017,33(12):1765-1767.