健康志愿者心肌磁共振纹理特征初探
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摘要
目的探讨汉族健康志愿者心肌磁共振图像的纹理特征。方法收集健康汉族志愿者59例,行3.0T心脏核磁共振电影序列及增强前后的T1 mapping序列扫描。计算每位健康志愿者的心功能参数。测量左室心肌的Native T1值,并计算细胞外容积(extracellular volume, ECV)值。在增强前的T1 mapping图像上提取40组心肌纹理特征,分析心肌纹理特征与年龄、Native T1、ECV值之间的相关性,并比较心肌纹理特征在性别、年龄分层组中的差异。结果共纳入59例健康汉族志愿者(女性28例,18～76岁),其中低龄组(<45岁)29例,高龄组(≥45岁)30例。男性左室心肌质量指数(left ventricular mass index, Lvmassi)高于女性、Native T1值低于女性(P<0.01),其余血压、心率、左室射血分数(left ventricular ejection fraction, LVEF)以及ECV值在不同性别组间差异均无统计学意义。在40个心肌纹理特征中,有10个心肌纹理特征存在性别差异(P<0.01),在低龄组中,男性和女性有13个心肌纹理特征存在差异;高龄组心肌纹理特征不存在性别差异(P>0.01)。有8个心肌纹理特征与年龄相关(最大r=0.483,P<0.01)。有6个一阶统计量与左心室心肌中层Native T1值相关(最大r=0.792,P<0.01),3个一阶统计量与ECV相关(最大r=0.409,P<0.01)。结论基于T1 mapping的心肌纹理特征在中国汉族健康人群中存在年龄和性别差异。
Objective To determine the myocardial texture features of cardiac magnetic resonance(CMR) in healthy adult Han populations. Methods 59 healthy Han volunteers were recruited for this study from May 2016 to November 2017. CMR examinations were performed on the participants with a 3.0T scanner(Tim Trio, Siemens Medical Solution) to estimate the functional parameters, Native T1 value and ECV. Texture analysis(TA) was performed on the region of interest(ROI) in the left ventricle myocardium on T1 mapping images, with 40 myocardial texture features being extracted. Differences in the myocardial texture features across gender and age groups were analyzed through Student's t-tests or Wilcoxon signed-rank tests. Spearman correlations were analyzed between the myocardial texture features and age, native T1 value and extracellular volume(ECV). Results Of the 59 participants, 28 were women and 29 were in the younger age group(<45 years old). The male participants had higher left ventricular mass index(Lvmassi) and lower native T1 than their female counterparts(P<0.01). No gender differences in blood pressure, heart rate, left ventricular ejection fraction(LVEF) and ECV values were found. Ten of the forty myocardial texture features showed gender differences, including two first order features and eight Grey-level co-occurrence matrix(GLCM) features. Gender differences appeared in five first order features and eight GLCM features in the younger group(<45 years old), but not in the older group(≥45 years old). Eight myocardial texture features were correlated with age, including five first order features and three GLCM features(all P<0.01). Six first-order texture features were correlated with Native T1 values of the left ventricle middle myocardium. Three first-order texture features were correlated with ECV. Conclusion Myocardial texture features in T1 mapping images vary by gender and age in healthy Han populations.
Objective To determine the myocardial texture features of cardiac magnetic resonance(CMR) in healthy adult Han populations. Methods 59 healthy Han volunteers were recruited for this study from May 2016 to November 2017. CMR examinations were performed on the participants with a 3.0T scanner(Tim Trio, Siemens Medical Solution) to estimate the functional parameters, Native T1 value and ECV. Texture analysis(TA) was performed on the region of interest(ROI) in the left ventricle myocardium on T1 mapping images, with 40 myocardial texture features being extracted. Differences in the myocardial texture features across gender and age groups were analyzed through Student's t-tests or Wilcoxon signed-rank tests. Spearman correlations were analyzed between the myocardial texture features and age, native T1 value and extracellular volume(ECV). Results Of the 59 participants, 28 were women and 29 were in the younger age group(<45 years old). The male participants had higher left ventricular mass index(Lvmassi) and lower native T1 than their female counterparts(P<0.01). No gender differences in blood pressure, heart rate, left ventricular ejection fraction(LVEF) and ECV values were found. Ten of the forty myocardial texture features showed gender differences, including two first order features and eight Grey-level co-occurrence matrix(GLCM) features. Gender differences appeared in five first order features and eight GLCM features in the younger group(<45 years old), but not in the older group(≥45 years old). Eight myocardial texture features were correlated with age, including five first order features and three GLCM features(all P<0.01). Six first-order texture features were correlated with Native T1 values of the left ventricle middle myocardium. Three first-order texture features were correlated with ECV. Conclusion Myocardial texture features in T1 mapping images vary by gender and age in healthy Han populations.
引文
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[22] PUNTMANN VO,VOIGT T,CHEN Z,et al.Native T1 mapping in differentiation of normal myocardium from diffuse disease in hypertrophic and dilated cardiomyopathy.JACC Cardiovasc Imaging,2013,6(4):475-484.
[23] BROOKS J,KRAMER CM,SALERNO M.Markedly increased volume of distribution of gadolinium in cardiac amyloidosis demonstrated by T1 mapping.J Magn Reson Imaging,2013,38(6):1591-1595.
[2] CHEN W,GIGER ML,LI H,et al.Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images.Magn Reson Med,2007,58(3):562-571.
[3] BAHL G,CRUITE I,WOLFSON T,et al.Noninvasive classification of hepatic fibrosis based on texture parameters from double contrast-enhanced magnetic resonance images.J Magn Reson Imaging,2012,36(5):1154-1161.
[4] HOLLI K,LAAPERI AL,HARRISON L,et al.Characterization of breast cancer types by texture analysis of magnetic resonance images.Acad Radiol,2010,17(2):135-141.
[5] AERTS HJ,VELAZQUEZ ER,LEIJENAAR RT,et al.Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach.Nat Commun,2014,5:4006[2019-01-11].https://doi.org/10.1002/mrm.21347.
[6] BAEβLER B,MANNIL M,MAINTZ D,et al.Texture analysis and machine learning of non-contrast T1-weighted MR images in patients with hypertrophic cardiomyopathy-preliminary results.Eur J Radiol,2018,102:61-67[2019-01-11].https://doi.org/10.1016/j.ejrad.2018.03.013.
[7] BAESSLER B,MANNIL M,OEBEL S,et al.Subacute and chronic left ventricular myocardial scar:accuracy of texture analysis on nonenhanced cine MR images.Radiology,2018,286(1):103-112.
[8] CHENG S,FANG M,CUI C,et al.LGE-CMR-derived texture features reflect poor prognosis in hypertrophic cardiomyopathy patients with systolic dysfunction:preliminary results.Eur J Radiol,2018,28(11):4615-4624.
[9] LARROZA A,MATERKA A,LOPEZ-LEREU MP,et al.Differentiation between acute and chronic myocardial infarction by means of texture analysis of late gadolinium enhancement and cine cardiac magnetic resonance imaging.Eur J Radiol,2017,92:78-83[2019-01-11].https://doi.org/10.1016/j.ejrad.2017.04.024.
[10] SHAO XN,SUN YJ,XIAO KT,et al.Texture analysis of magnetic resonance T1 mapping with dilated cardiomyopathy.Medicine (Baltimore),2018,97(37):e12246[2019-01-11].https://insights.ovid.com/crossref?an=00005792-201809140-00035.doi:10.1097/MD.0000000000012246.
[11] DABIR D,CHILD N,KALRA A,et al.Reference values for healthy human myocardium using a T1 mapping methodology:results from the international T1 multicenter cardiovascular magnetic resonance study.J Cardiovasc Magn Reson,2014,16(1):69[2019-01-11].https://doi.org/10.1186/s12968-014-0069-x.
[12] PIECHNIK SK,FERREIRA VM,LEWANDOWSKI AJ,et al.Normal variation of magnetic resonance T1 relaxation times in the human population at 1.5 T using ShMOLLI.J Cardiovasc Magn Reson,2013,15(1):13[2019-01-11].https://doi.org/10.1186/1532-429X-15-13.
[13] VON KNOBELSDORFF-BRENKENHOFF F,PROTHMANN M,DIERINGER MA,et al.Myocardial T1 and T2 mapping at 3 T:reference values,influencing factors and implications.J Cardiovasc Magn Reson,2013,15(1):53-53[2019-01-11].https://doi.org/10.1186/1532-429X-15-53.
[14] NEILAN TG,COELHO-FILHO OR,SHAH RV,et al.Myocardial extracellular volume fraction from T1 measurements in healthy volunteers and mice:relationship to aging and cardiac dimensions.JACC Cardiovasc Imaging,2013,6(6):672-683.
[15] AUS DEM SIEPEN F,BUSS SJ,MESSROGHLI D,et al.T1 mapping in dilated cardiomyopathy with cardiac magnetic resonance:quantification of diffuse myocardial fibrosis and comparison with endomyocardial biopsy.Eur Heart J Cardiovasc Imaging,2015,16(2):210-216.
[16] VAN GRIETHUYSEN JJM,FEDOROV A,PARMAR C,et al.Computational radiomics system to decode the radiographic phenotype.Cancer Res,2017,77(21):e104-e107 [2019-01-11].https://doi.org/ 10.1158/0008-5472.
[17] DONG Y,YANG D,HAN Y,et al.Age and gender impact the measurement of myocardial interstitial fibrosis in a healthy adult Chinese population:a cardiac magnetic resonance study.Front Physiol,2018,9:140 [2019-01-11].https://doi.org/10.3389/fphys.2018.00140.
[18] LIU CY,BLUEMKE DA,GERSTENBLITH G,et al.Myocardial steatosis and its association with obesity and regional ventricular dysfunction:evaluated by magnetic resonance tagging and 1H spectroscopy in healthy african Americans.Int J Cardiol,2014,172(2):381-387.
[19] DE SMET MA,LAPAUW B,DE BACKER T.Sex steroids in relation to cardiac structure and function in men.Andrologia.2017,49(2) [2019-01-11].https://doi.org/10.1111/and.12610.
[20] LUO T,KIM JK.The role of estrogen and estrogen receptors on cardiomyocytes:an overview.Can J Cardiol,2016,32(8):1017-1025.
[21] PETRITSCH B,GASSENMAIER T,KUNZ AS,et al.Age dependency of myocardial triglyceride content:a 3T high-field 1H-MR spectroscopy study.Rofo,2015,187(11):1016-1021 [2019-01-11].https://doi.org/10.1055/s-0035-1553350.
[22] PUNTMANN VO,VOIGT T,CHEN Z,et al.Native T1 mapping in differentiation of normal myocardium from diffuse disease in hypertrophic and dilated cardiomyopathy.JACC Cardiovasc Imaging,2013,6(4):475-484.
[23] BROOKS J,KRAMER CM,SALERNO M.Markedly increased volume of distribution of gadolinium in cardiac amyloidosis demonstrated by T1 mapping.J Magn Reson Imaging,2013,38(6):1591-1595.