磁共振波谱在脑胶质瘤边界确定中的研究进展
摘要
最大程度安全切除肿瘤是脑胶质瘤个体化、规范化综合治疗的首要原则,能否利用新方法、新技术或通过挖掘已有技术的潜在利用价值找到最接近真实组织病理学边界成为外科手术切除的关键。磁共振波谱成像(magnetic resonance spectroscopy,MRS)以非侵袭性活体生化、代谢检测方法定量分析病变及周围组织的生化代谢异常信息,有望勾勒出更逼近于脑胶质瘤真实组织病理学边界的代谢轮廓图。本文就相关研究作一综述。
引文
[1]刘玉清,刘幸,江涛.分子分型与分子病理指导下的脑胶质瘤诊疗进展[J].科技导报,2017,35(4):64-67.
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[5]于云莉,蒋莎莎,史梦婷,等.磁共振波谱联合视频脑电图对伴海马硬化的内侧颞叶癫痫的诊断价值[J].贵州医科大学学报,2017,42(8):946-951.
[6]晏颖,邓宇,李新春,等.1H-MRS在颅脑常见肿瘤诊断中的临床应用研究[J].中国CT和MRI杂志,2017,15(6):5-7,11.
[7]王新伟,赵智伟. MRS在界定脑胶质瘤病理级别和病变范围中的诊断价值[J].中国实用神经疾病杂志,2017,20(4):83-85.
[8]傅常宇,刘耀华,杨宏宽,等.磁共振波谱技术在胶质瘤代谢研究中的应用进展[J].中华神经外科疾病研究杂志,2014,13(2):190-192.
[9] Bhogal AA,Schür RR,Houtepen LC,et al.1H-MRS processing parameters affect metabolite quantification:The urgent need for uniform and transparent standardization[J]. NMR Biomed,2017,30(11):311-313.
[10] Grech-Sollars M,Vaqas B,Thompson G,et al. An MRSand PET-guided biopsy tool for intraoperative neuronavigational systems[J]. J Neurosurg,2017,3(17):1-7.
[11]王国华,石艳艳,宋修峰,等.肿瘤周围的1H-MRS在常见颅脑肿瘤鉴别诊断中的价值[J].医学影像学杂志,2015,25(6):958-961.
[12]王群,张家墅,徐兴华,等.氢质子磁共振波谱在胶质瘤活检术中的应用[J].中国神经精神疾病杂志,2015,41(10):624-628.
[13]郭俊,黄峰平,沈晓,等.磁共振波谱分析在胶质瘤边界中的意义[C]//中国医师协会神经外科医师分会第六届全国代表大会论文汇编.南京:中国会议,2011.
[14]王龙.基于多模态的脑肿瘤分类器的设计[D].南京:东南大学生物科学与医学工程学院,2015.
[15]徐令仪,孙钰,孔向晖,等.基于磁共振图像与波谱的专家辅助诊断系统的设计[J].中国生物医学工程学报,2016,35(4):492-496.
[16] Crane JC,Olson MP,Nelson SJ. SIVIC:Open-source,standards-based software for DICOM MR spectroscopy workflows[J]. Int J Biomed Imaging,2013,2013(2):169526.
[17]万遂人,顾翠艳,孙钰. MR图像中附加图信息提取及图像显示实现[J].科技导报,2013,31(18):27-31.
[18]万遂人,成飞,孙钰.基于Web的脑肿瘤辅助决策系统的设计和实现[J].科技导报,2012,30(35):64-68.
[19] Xiao P,Leng S,Zhao X,et al. Atrioventricular junction(AVJ)motion tracking:a software tool with ITK/VTK/Qt[J]. Conf Proc IEEE Eng Med Biol Soc,2016,2016(8):4141-4144.
[20] Moreland K,Sewell C,Usher W,et al. VTK-m:Accelerating the visualization toolkit for massively threaded architectures[J]. IEEE Comput Graph Appl,2016,36(3):48-58.
[21]庄冬晓,吴劲松,姚成军,等. 3. 0T术中磁共振实时影像功能导航联合术中神经电生理监测技术在岛叶胶质瘤手术中的应用[J].中国神经精神疾病杂志,2012,38(4):207-211.
[22]姚成军,吴劲松,庄冬晓,等.术中磁共振多模态影像导航下脑内病变穿刺活检术的初步应用[J].中国神经精神疾病杂志,2012,38(3):182-185.
[23] Eberhardt K,Ganslandt O,Stadlbauer A. Improved magnetic resonance myelography using image fusion[J].Rofo,2013,185(4):333-339.
[24] Stadlbauer A,Hammen T,Buchfelder M,et al. Differences in metabolism of fiber tract alterations in gliomas:a combined fiber density mapping and magnetic resonance spectroscopic imaging study[J]. Neurosurgery,2012,71(2):454-463.
[25] Yao C,Lv S,Chen H,et al. The clinical utility of multimodal MR image-guided needle biopsy in cerebral gliomas[J]. Int J Neurosci,2016,126(1):53-61.
[26] Stadlbauer A,Buchfelder M,Doelken MT,et al. Magnetic resonance spectroscopic imaging for visualization of the infiltration zone of glioma[J]. Cent Eur Neurosurg,2011,72(2):63-69.
[27] Stadlbauer A,Moser E,Gruber S,et al. Improved delineation of brain tumors:an automated method for segmentation based on pathologic changes of1H-MRSI metabolites in gliomas[J]. Neuroimage,2004,23(2):454-461.
[28] Zhang J,Zhuang DX,Yao CJ,et al. Metabolic approach for tumor delineation in glioma surgery:3D MR spectroscopy image-guided resection[J]. J Neurosurg,2016,124(6):1585-1593.
[29] Chang K,Zhang B,Guo X,et al. Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab[J]. Neuro Oncol,2016,18(12):1680-1687.
[30] Leiva-Salinas C,Schiff D,Flors L,et al. FDG PET/MR imaging coregistration helps predict survival in patients with glioblastoma and radiologic progression after standard of care treatment[J]. Radiology,2017,283(2):508-514.
[31] Zinnhardt B,Pigeon H,ThézéB,et al. Combined PET Imaging of the inflammatory tumor microenvironment identifies margins of unique radiotracer uptake[J].Cancer Res,2017,77(8):1831-1841.
[32] Crain ID,Elias PS,Chapple K,et al. Improving the utility of(1)H-MRS for the differentiation of glioma recurrence from radiation necrosis[J]. J Neurooncol,2017,133(1):97-105.
[33] Xu YJ,Cui Y,Li HX,et al. Noninvasive evaluation of radiation-enhanced glioma cells invasiveness by ultrahigh-field(1)H-MRS in vitro[J]. Magn Reson Imaging,2016,34(8):1121-1127.
[34] Pusch S,Krausert S,Fischer V,et al. Pan-mutant IDH1inhibitor BAY 1436032 for effective treatment of IDH1mutant astrocytoma in vivo[J]. Acta Neuropathol,2017,133(4):629-644.
[35] Johannessen TA,Mukherjee J,Viswanath P,et al. Rapid conversion of mutant IDH1 from driver to passenger in a model of human gliomagenesis[J]. Mol Cancer Res,2016,14(10):976-983.
[2]张玉海,刘宏毅,张锐,等.多模态影像联合电生理监测在脑功能区胶质瘤手术中的应用研究[J].临床神经外科杂志,2016,13(5):335-339,343.
[3] Pisipati S,Smith KA,Shah K,et al. Intracerebral laser interstitial thermal therapy followed by tumor resection to minimize cerebral edema[J]. Neurosurg Focus,2016,41(4):e13.
[4]田海龙,祖玉良,王超超,等.术前氢质子磁共振波谱主要代谢物水平与术中胶质母细胞瘤荧光强度的比较[J].中国医学科学院学报,2017,39(4):511-517.
[5]于云莉,蒋莎莎,史梦婷,等.磁共振波谱联合视频脑电图对伴海马硬化的内侧颞叶癫痫的诊断价值[J].贵州医科大学学报,2017,42(8):946-951.
[6]晏颖,邓宇,李新春,等.1H-MRS在颅脑常见肿瘤诊断中的临床应用研究[J].中国CT和MRI杂志,2017,15(6):5-7,11.
[7]王新伟,赵智伟. MRS在界定脑胶质瘤病理级别和病变范围中的诊断价值[J].中国实用神经疾病杂志,2017,20(4):83-85.
[8]傅常宇,刘耀华,杨宏宽,等.磁共振波谱技术在胶质瘤代谢研究中的应用进展[J].中华神经外科疾病研究杂志,2014,13(2):190-192.
[9] Bhogal AA,Schür RR,Houtepen LC,et al.1H-MRS processing parameters affect metabolite quantification:The urgent need for uniform and transparent standardization[J]. NMR Biomed,2017,30(11):311-313.
[10] Grech-Sollars M,Vaqas B,Thompson G,et al. An MRSand PET-guided biopsy tool for intraoperative neuronavigational systems[J]. J Neurosurg,2017,3(17):1-7.
[11]王国华,石艳艳,宋修峰,等.肿瘤周围的1H-MRS在常见颅脑肿瘤鉴别诊断中的价值[J].医学影像学杂志,2015,25(6):958-961.
[12]王群,张家墅,徐兴华,等.氢质子磁共振波谱在胶质瘤活检术中的应用[J].中国神经精神疾病杂志,2015,41(10):624-628.
[13]郭俊,黄峰平,沈晓,等.磁共振波谱分析在胶质瘤边界中的意义[C]//中国医师协会神经外科医师分会第六届全国代表大会论文汇编.南京:中国会议,2011.
[14]王龙.基于多模态的脑肿瘤分类器的设计[D].南京:东南大学生物科学与医学工程学院,2015.
[15]徐令仪,孙钰,孔向晖,等.基于磁共振图像与波谱的专家辅助诊断系统的设计[J].中国生物医学工程学报,2016,35(4):492-496.
[16] Crane JC,Olson MP,Nelson SJ. SIVIC:Open-source,standards-based software for DICOM MR spectroscopy workflows[J]. Int J Biomed Imaging,2013,2013(2):169526.
[17]万遂人,顾翠艳,孙钰. MR图像中附加图信息提取及图像显示实现[J].科技导报,2013,31(18):27-31.
[18]万遂人,成飞,孙钰.基于Web的脑肿瘤辅助决策系统的设计和实现[J].科技导报,2012,30(35):64-68.
[19] Xiao P,Leng S,Zhao X,et al. Atrioventricular junction(AVJ)motion tracking:a software tool with ITK/VTK/Qt[J]. Conf Proc IEEE Eng Med Biol Soc,2016,2016(8):4141-4144.
[20] Moreland K,Sewell C,Usher W,et al. VTK-m:Accelerating the visualization toolkit for massively threaded architectures[J]. IEEE Comput Graph Appl,2016,36(3):48-58.
[21]庄冬晓,吴劲松,姚成军,等. 3. 0T术中磁共振实时影像功能导航联合术中神经电生理监测技术在岛叶胶质瘤手术中的应用[J].中国神经精神疾病杂志,2012,38(4):207-211.
[22]姚成军,吴劲松,庄冬晓,等.术中磁共振多模态影像导航下脑内病变穿刺活检术的初步应用[J].中国神经精神疾病杂志,2012,38(3):182-185.
[23] Eberhardt K,Ganslandt O,Stadlbauer A. Improved magnetic resonance myelography using image fusion[J].Rofo,2013,185(4):333-339.
[24] Stadlbauer A,Hammen T,Buchfelder M,et al. Differences in metabolism of fiber tract alterations in gliomas:a combined fiber density mapping and magnetic resonance spectroscopic imaging study[J]. Neurosurgery,2012,71(2):454-463.
[25] Yao C,Lv S,Chen H,et al. The clinical utility of multimodal MR image-guided needle biopsy in cerebral gliomas[J]. Int J Neurosci,2016,126(1):53-61.
[26] Stadlbauer A,Buchfelder M,Doelken MT,et al. Magnetic resonance spectroscopic imaging for visualization of the infiltration zone of glioma[J]. Cent Eur Neurosurg,2011,72(2):63-69.
[27] Stadlbauer A,Moser E,Gruber S,et al. Improved delineation of brain tumors:an automated method for segmentation based on pathologic changes of1H-MRSI metabolites in gliomas[J]. Neuroimage,2004,23(2):454-461.
[28] Zhang J,Zhuang DX,Yao CJ,et al. Metabolic approach for tumor delineation in glioma surgery:3D MR spectroscopy image-guided resection[J]. J Neurosurg,2016,124(6):1585-1593.
[29] Chang K,Zhang B,Guo X,et al. Multimodal imaging patterns predict survival in recurrent glioblastoma patients treated with bevacizumab[J]. Neuro Oncol,2016,18(12):1680-1687.
[30] Leiva-Salinas C,Schiff D,Flors L,et al. FDG PET/MR imaging coregistration helps predict survival in patients with glioblastoma and radiologic progression after standard of care treatment[J]. Radiology,2017,283(2):508-514.
[31] Zinnhardt B,Pigeon H,ThézéB,et al. Combined PET Imaging of the inflammatory tumor microenvironment identifies margins of unique radiotracer uptake[J].Cancer Res,2017,77(8):1831-1841.
[32] Crain ID,Elias PS,Chapple K,et al. Improving the utility of(1)H-MRS for the differentiation of glioma recurrence from radiation necrosis[J]. J Neurooncol,2017,133(1):97-105.
[33] Xu YJ,Cui Y,Li HX,et al. Noninvasive evaluation of radiation-enhanced glioma cells invasiveness by ultrahigh-field(1)H-MRS in vitro[J]. Magn Reson Imaging,2016,34(8):1121-1127.
[34] Pusch S,Krausert S,Fischer V,et al. Pan-mutant IDH1inhibitor BAY 1436032 for effective treatment of IDH1mutant astrocytoma in vivo[J]. Acta Neuropathol,2017,133(4):629-644.
[35] Johannessen TA,Mukherjee J,Viswanath P,et al. Rapid conversion of mutant IDH1 from driver to passenger in a model of human gliomagenesis[J]. Mol Cancer Res,2016,14(10):976-983.