张久权

  • 用户基本信息
  • 重庆大学附属肿瘤医院

  • 影像科科主任 副主任医师 硕士研究生导师

  • 博士
  • 第三军医大学
  • 外科学（神经外科）
  • 协会信息

  • 中国抗癌协会

  • 中国抗癌协会肿瘤影像专业委员会

  • 常务委员

  • 第一届中国微循环学会神经变性病专业委员会磁共振学组

  • 委员

  • 中国中西医结合学会第八届医学影像专业

  • 青年委员

  • 重庆市中西医结合学会医学影像学组

  • 副主任委员

  • 重庆市健促会第一届医学影像学专业委员会

  • 副主任委员

  • 重庆市医学会放射医学专业委员会第六届委员会委员兼心胸组学

  • 副组长

  • 重庆市医师协会放射医师分会第一届委员会神经组

  • 副组长

  • 重庆市第一届医用设备管理专家咨询委员会

  • 成员

  • 重庆市药品监督管理局专家委员会

  • 委员

  • 2020年担任Frontiers in Oncology杂志

  • 客座副主编
  • 学科领域信息

  • 肿瘤影像 功能神经影像学

  • 利用人工智能对脑功能成像，不同肿瘤影像组学模型建立及其预测肿瘤分级，分型，早期诊断及疗效预测。

  • 1. Hu, S.L., et al., In vitro labeling of human umbilical cord mesenchymal stem cells with superparamagnetic iron oxide nanoparticles. J Cell Biochem, 2009. 108(2): p. 529-35； 2. Hu, S., et al., Amelioration of rCBF and PbtO2 following TBI at high altitude by hyperbaric oxygen pre-conditioning. Neurol Res, 2010. 32(2): p. 173-8； 3. Zhang, J., et al., Characterizing iron deposition in Parkinson's disease using susceptibility-weighted imaging: an in vivo MR study. Brain Res, 2010. 1330: p. 124-30； 4. Chen, L., et al., Meta-analysis of gadoxetic acid disodium (Gd-EOB-DTPA)-enhanced magnetic resonance imaging for the detection of liver metastases. PLoS One, 2012. 7(11): p. e48681； 5. Li, C., et al., Voxel-based morphometry of the visual-related cortex in primary open angle glaucoma. Curr Eye Res, 2012. 37(9): p. 794-802； 6. Tao, R., et al., Detection of siderotic nodules in the liver with susceptibility weighted imaging: correlations to serum ferritin, Child-Pugh grade and hyaluronic acid levels. Chin Med J (Engl), 2012. 125(17): p. 3110-4； 7. Tao, R., et al., An in vitro and in vivo analysis of the correlation between susceptibility-weighted imaging phase values and R2* in cirrhotic livers. PLoS One, 2012. 7(9): p. e45477； 8. Tao, R., et al., Characterizing hepatocellular carcinoma using multi-breath-hold two-dimensional susceptibility-weighted imaging: Comparison to conventional liver MRI. Clin Radiol, 2012. 67(12): p. e91-7； 9. Chen, L., et al., The Correlation between Apparent Diffusion Coefficient and Tumor Cellularity in Patients: A Meta-Analysis. PloS one, 2013. 8(11): p. e79008； 10. Chen, L., et al., Meta-analysis of diffusion-weighted MRI in the differential diagnosis of lung lesions. J Magn Reson Imaging, 2013. 37(6): p. 1351-8； 11. Chen, L., et al., Comparison of MRI with liver-specific contrast agents and multidetector row CT for the detection of hepatocellular carcinoma: a meta-analysis of 15 direct comparative studies. Gut, 2013. 62: p. 1520-1521； 12. Tao, R., et al., The thalamus in cirrhotic patients with and without hepatic encephalopathy: A volumetric MRI study. Eur J Radiol, 2013. 82: p. e715-20； 13. Zhang, J., et al., Possible effects of iron deposition on the measurement of DTI metrics in deep gray matter nuclei: An in vitro and in vivo study. Neurosci Lett, 2013. 551: p. 47-52； 14. Zhang, J., et al., Gamna-gandy bodies of the spleen detected with susceptibility weighted imaging: maybe a new potential non-invasive marker of esophageal varices. PLoS One, 2013. 8(1): p. e55626； 15. Zhang, J., et al., Specific frequency band of amplitude low-frequency fluctuation predicts Parkinson's disease. Behav Brain Res, 2013. 252: p. 18-25； 16. Chen, L., et al., Relationship between Apparent Diffusion Coefficient and Tumour Cellularity in Lung Cancer. PloS one, 2014. 9(6): p. e99865； 17. Chen, L., et al., Magnetic Resonance Imaging with Gadoxetic Acid Disodium for the Detection of Hepatocellular Carcinoma: A Meta-analysis of 18 Studies. Acad Radiol, 2014； 18. Liu, C., et al., The pattern of brain gray matter impairments in patients with subcortical vascular dementia. J Neurol Sci, 2014. 341(1-2): p. 110-8； 19. Wei, L., et al., Reduced topological efficiency in cortical-Basal Ganglia motor network of Parkinson's disease: a resting state FMRI study. PLoS One, 2014. 9(10): p. e108124； 20. Yin, X., et al., Comparison of Medial Temporal Measures between Binswanger's Disease and Alzheimer's Disease. PLoS One, 2014. 9(1): p. e86423； 21. Yu, L., et al., Morphologic changes in the anterior and posterior subregions of V1 and V2 and the V5/MT+ in patients with primary open-Angle glaucoma. Brain Res, 2014； 22. Zhang, J., et al., Tumor Vascularity and Glucose Metabolism Correlated in Adenocarcinoma, but Not in Squamous Cell Carcinoma of the Lung. PloS one, 2014. 9(3): p. e91649； 23. Zhang, J., et al., Regional alterations in cortical thickness and white matter integrity in amyotrophic lateral sclerosis. J Neurol, 2014. 261(2): p. 412-421； 24. Zhang, W., et al., Grey matter abnormalities in untreated hyperthyroidism: A voxel-based morphometry study using the DARTEL approach. Eur J Radiol, 2014. 83(1): p. e43-8； 25. Zhang, Y., et al., Cortical gyrification reductions and subcortical atrophy in Parkinson's disease. Mov Disord, 2014. 29(1): p. 122-6； 26. Zhang, Y., et al., Gray matter volume abnormalities in type 2 diabetes mellitus with and without mild cognitive impairment. Neurosci Lett, 2014. 562: p. 1-6； 27. Hu, X., et al., Decreased interhemispheric functional connectivity in subtypes of Parkinson's disease. J Neurol, 2015. 262(3): p. 760-7； 28. Hu, X.F., et al., Amplitude of Low-frequency Oscillations in Parkinson's Disease: A 2-year Longitudinal Resting-state Functional Magnetic Resonance Imaging Study. Chin Med J (Engl), 2015. 128(5): p. 593-601； 29. Li, W., et al., Lateralization of Epileptic Foci Through Causal Analysis of Scalp-EEG Interictal Spike Activity. J Clin Neurophysiol, 2015. 32(1): p. 57-65； 30. Ma, X., et al., Altered cortical hubs in functional brain networks in amyotrophic lateral sclerosis. Neurol Sci, 2015. 36(11): p. 2097-104； 31. Sang, L., et al., Alteration of Brain Functional Networks in Early-Stage Parkinson's Disease: A Resting-State fMRI Study. PLoS One, 2015. 10(10): p. e0141815； 32. Zhang, J., et al., Abnormal functional connectivity density in Parkinson's disease. Behav Brain Res, 2015. 280: p. 113-8； 33. Zhang, J., et al., Akinetic-rigid and tremor-dominant Parkinson's disease patients show different patterns of intrinsic brain activity. Parkinsonism Relat Disord, 2015. 21(1): p. 23-30； 34. Zhang, Y.W., et al., Memory Dysfunction in Type 2 Diabetes Mellitus Correlates with Reduced Hippocampal CA1 and Subiculum Volumes. Chin Med J (Engl), 2015. 128(4): p. 465-71； 35. Fang, X., et al., Disrupted effective connectivity of the sensorimotor network in amyotrophic lateral sclerosis. J Neurol, 2016. 263(3): p. 508-16； 36. Liu, D., et al., Aberrant Brain Regional Homogeneity and Functional Connectivity in Middle-Aged T2DM Patients: A Resting-State Functional MRI Study. Frontiers in Human Neuroscience, 2016. 10(490)； 37. Ma, X., et al., Frequency-specific alterations in the fractional amplitude of low-frequency fluctuations in amyotrophic lateral sclerosis. Neurol Sci, 2016. 37(8): p. 1283-91； 38. Xu, J., et al., Abnormal fronto-striatal functional connectivity in Parkinson's disease. Neurosci Lett, 2016. 613: p. 66-71； 39. Zhou, C., et al., Altered Brain Network in Amyotrophic Lateral Sclerosis: A Resting Graph Theory-Based Network Study at Voxel-Wise Level. Front Neurosci, 2016. 10: p. 204； 40. Hu, X., et al., Altered Functional Connectivity Density in Subtypes of Parkinson’s Disease. Frontiers in Human Neuroscience, 2017. 11(458)； 41. Xu, J., et al., Abnormal cortical-basal ganglia network in amyotrophic lateral sclerosis: A voxel-wise network efficiency analysis. Behav Brain Res, 2017. 333: p. 123-128； 42. Xu, J., et al., Abnormalities in Structural Covariance of Cortical Gyrification in Parkinson's Disease. Frontiers in Neuroanatomy, 2017. 11(12)； 43. Zhang, J., et al., Aberrant interhemispheric homotopic functional and structural connectivity in amyotrophic lateral sclerosis. J Neurol Neurosurg Psychiatry, 2017. 88(5): p. 369-370； 44. Zhang, J.Q., et al., Differential Impairment of Thalamocortical Structural Connectivity in Amyotrophic Lateral Sclerosis. CNS Neurosci Ther, 2017. 23(2): p. 155-161； 45. Zhang, Y., et al., Occipital cortical gyrification reductions associate with decreased functional connectivity in amyotrophic lateral sclerosis. Brain Imaging Behav, 2017. 11(1): p. 1-7； 46. Chen, L., et al., Free-breathing dynamic contrast-enhanced MRI for assessment of pulmonary lesions using golden-angle radial sparse parallel imaging. J Magn Reson Imaging, 2018； 47. Li, W., et al., Abnormal Functional Connectivity Density in Amyotrophic Lateral Sclerosis. Frontiers in Aging Neuroscience, 2018. 10(215)； 48. Liu, D., et al., Disrupted Balance of Long-and Short-range Functional Connectivity Density in Type 2 Diabetes Mellitus: A Resting-State fMRI Study. Frontiers in Neuroscience, 2018. 12: p. 875； 49. Liu, D., et al., Altered brain functional hubs and connectivity in type 2 diabetes mellitus patients: a resting-state fMRI study. Frontiers in Aging Neuroscience, 2018. 10: p. 55； 50. Wang, Y., et al., Structural and functional abnormalities of the insular cortex in trigeminal neuralgia: a multimodal magnetic resonance imaging analysis. Pain, 2018. 159(3): p. 507-514； 51. Chen, L., et al., A Study of the Correlation of Perfusion Parameters in High‐Resolution GRASP MRI With Microvascular Density in Lung Cancer. Journal of Magnetic Resonance Imaging, 2019. 49(4): p. 1186-1194； 52. Qiu, T., et al., Precentral degeneration and cerebellar compensation in amyotrophic lateral sclerosis: A multimodal MRI analysis. Hum Brain Mapp, 2019. 40(12): p. 3464-3474； 53. Zhang, Y., et al., Abnormal topological organization of structural covariance networks in amyotrophic lateral sclerosis. Neuroimage Clin, 2019. 21: p. 101619； 54. Chen, L., et al., Improving dynamic contrast-enhanced MRI of the lung using motion-weighted sparse reconstruction: Initial experiences in patients. Magnetic Resonance Imaging, 2020. 68: p. 36-44； 55. Cheng, L., et al., Fiber-specific white matter reductions in amyotrophic lateral sclerosis. NeuroImage: Clinical, 2020. 28: p. 102516； 56. Liu, D., et al., Aberrant Brain Spontaneous Activity and Synchronization in Type 2 Diabetes Mellitus Patients: A Resting-State Functional MRI Study. Frontiers in Aging Neuroscience, 2020. 12(181)； 57. Ma, X., et al., Static and dynamic alterations in the amplitude of low-frequency fluctuation in patients with amyotrophic lateral sclerosis. PeerJ, 2020. 8: p. e10052； 58. Ma, X., et al., Dynamic alterations of spontaneous neural activity in patients with amyotrophic lateral sclerosis. Brain Imaging Behav, 2020； 59. Shen, H., et al., Predicting Progression-Free Survival Using MRI-Based Radiomics for Patients With Nonmetastatic Nasopharyngeal Carcinoma. Frontiers in Oncology, 2020. 10(618)； 60. Yang, L., et al., Diagnostic performance of diffusion-weighted imaging combined with dynamic contrast-enhanced magnetic resonance imaging for prostate cancer: a systematic review and meta-analysis. Acta Radiol, 2020: p. 284185120956269； 61. Zeng, X., et al., Evaluating the Image Quality of Monoenergetic Images From Dual-Energy Computed Tomography With Low-Concentration and Low-Flow-Rate Contrast Media for the Arterials Supply to the Nipple-Areola Complex in Breast Cancer Compared With Conventional Computed Tomography Angiography. J Comput Assist Tomogr, 2020. 44(6): p. 921-927； 62. Cheng, L., et al., Structural and functional underpinnings of precentral abnormalities in amyotrophic lateral sclerosis. Eur J Neurol, 2021； 63. Deng, X., et al., Feasibility of MRI-based radiomics features for predicting lymph node metastases and VEGF expression in cervical cancer. European Journal of Radiology, 2021. 134: p. 109429； 64. Shen, H., et al., Multiparametric dual-energy CT for distinguishing nasopharyngeal carcinoma from nasopharyngeal lymphoma. European Journal of Radiology, 2021. 136: p. 109532； 65. Tao, J., et al., Development and Validation of a CT-Based Signature for the Prediction of Distant Metastasis Before Treatment of Non-Small Cell Lung Cancer. Academic Radiology, 2021； 66. Wang, X., et al., Subjective and Objective Assessment of Monoenergetic and Polyenergetic Images Acquired by Dual-Energy CT in Breast Cancer. Korean Journal of Radiology, 2021. 22； 67. Wang, X., et al., Dual-energy CT quantitative parameters for evaluating Immunohistochemical biomarkers of invasive breast cancer. Cancer Imaging, 2021. 21(1): p. 4；

  • 2013年获得重庆市科技进步奖二等奖一项；2019年入选第五批重庆市中青年医学高端人才。