臺北醫學大學 臺北神經醫學中心 校級神經醫學研究中心

神經影像團隊

神經影像團隊建立了多個動物實驗和臨床試驗的影像平台，以促進醫學影像研究。通過精密設計的實驗儀器和實驗室動物模型來結合影像研究和染色技術，神經影像團隊還可以透過影像結果來幫助醫生澄清臨床病理和疾病診斷。

與此同時，神經影像團隊透過遺傳學、細胞生物學和分子生物學實驗來觀察神經訊號對疾病調節和藥理學的各種機制。對於臨床試驗而言，心理生理評估可以反映患者發病後的精神狀態和社會功能，作為疾病的重要預後指標。

研究的目標是開發更有效的醫學影像標記，用於疾病的早期診斷和預後評估。利用非侵入性的醫學影像定量模型，我們可以建立一個有效的篩選平台，用於評估藥物及治療的效果。該研究領域涉及遺傳學和細胞研究、動物實驗以及對人體受試者的研究。團隊的先進技術有助於找出有效的生物標記、新藥研發以及轉譯醫學研究。除了醫學影像的技術發展外，其應用還將支持四種主要神經疾病的診斷和治療。

團隊旨在整合台北醫學大學醫學影像相關研究團隊，建立先進的影像設施，為影像研究提供諮詢，開發先進的影像和分析技術，在培養人才的同時促進醫學影像的發展。

研究重點為神經疾病之轉譯影像研究，結合中心成員之不同專長能力，已成立五個核心實驗室：

• 奈米分子影像實驗室
• 7T動物影像實驗室
• 3T臨床腦功能影像實驗室
• 神經影像生物標記分析實驗室
• 正子磁振造影實驗室

這些實驗室貫串轉譯影像研究從基因、細胞、動物至人體研究所需之不同層面。

目前的研究領域包括：

膠質母細胞瘤

研究將探討腫瘤磁振造影的異質性，並研究其與基因突變的關聯性。膠質母細胞瘤細胞培養具有特定的遺傳信息，包括腫瘤形成、血管生成以及與DNA損傷和修復相關的基因。此外，將在7T MRI上建立多形性膠質母細胞瘤動物模型，並將相同的方法應用於3T磁振造影對受試者的影像研究。

同時，可以通過DNA微陣列實驗獲得膠質母細胞瘤的基因突變信息，並將不同基因組的多形性膠質母細胞瘤的分子表現與磁振造影的生物標記進行比較。透過基因組資訊和磁振造影影像的結合應用，可以更好地監測治療反應並預測預後效果。

缺血性中風

缺血性中風的治療效果不僅取決於血流的恢復，還取決於中風後可能未受損的神經元的數量。腦血管意外發生後的4.5小時內通常是治療的關鍵時間。因此，確定中風發作時間、定位病變位置以及準確評估腦組織是否進行治療干預或注射溶栓藥物之前需要考慮的重要因素。

目前已有許多相關研究提出缺血半影區可能保存神經元的位置。此外，其面積和大小可視為藥物治療療效的預測因子。Diffusion tensor image(DTI)和perfusion weighted imaging(PWI)通常被用於評估缺血半影區。

我們的研究結果表明，DTI計算的多個參數可以作為評估缺血半影區和估計缺血性中風發病時間的有效指標。這些指標已在大鼠中風模型中進行了測試和驗證。目前，實驗室研究成果在人體受試者的研究方面也取得了進展。DTI的可用性將為臨床醫生診斷和治療缺血性腦中風提供新的機會。

輕度創傷性腦損傷

輕度創傷性腦損傷定義為衝擊加速力引起的創傷性白質損傷，可能導致腦功能或病理改變。大多數研究報告均在群組平均的結果上，幾乎沒有提供有關誰可能會長期出現神經認知症狀或是哪些特徵能代表疾病進程中的結構或功能改變。由於缺乏對輕度腦創傷後軸突和髓鞘變化敏感且定量的量測工具，人們對輕度腦創傷後長期持續的神經認知症狀和缺陷的白質病理特徵的進程知之甚少。我們希望能夠檢測輕度腦創傷患者的髓鞘分佈和密度。從這些定量磁振影像參數圖得出的值為真實定量且與儀器廠牌等無關的量化值，這有助於對輕度腦創傷患者進行個體的縱向評估。

骨質疏鬆症

骨質疏鬆症是一種代謝性骨疾病，其特徵在於骨質密度(bone mineral density)低和骨折發生率高。潛在的骨質疏鬆症會導致骨折與死亡風險升高。骨質流失是骨質疏鬆症的關鍵特徵之一，通常利用測量骨質密度來診斷。雙能量 X 光吸收儀（dual energy x-ray absorptiometry）是評估骨質密度的最廣泛使用的方法，可以獲得各種骨骼部位的骨質密度數據。臨床上，骨質疏鬆症的診斷主要依據從腰椎獲得的骨質密度。另一方面,腰椎核磁共振掃描（Magnetic Resonance Imaging）無游離輻射, 通常用來診斷病人下背痛的原因。核磁共振掃描具影像高解析度與脂肪定量技術，可偵測骨微結構(bone microstructure)與骨髓(bone marrow)成分，因此有研究建議可以用核磁共振掃描做為檢測骨質疏鬆症患者的工具。紋理分析(texture analysis)可以辨別人眼無法識別的圖像異質性，且初步證明圖像紋理中具有潛在的診斷價值。這種方法是基於數學方式來評估圖像中像素的灰階強度和位置，提供了代表異質性定量度量的“紋理特徵”。

研究計畫

• 1. MOST Title: An Artificial Intelligence System for Precision Lung Cancer Based on Clinical Big Data
  Project Period: 2020.07.01 ~ 2024.06.30
  2. 經濟部科研成果價值創造計畫:「胸腔深度學習:人工智慧多模影像精準健康平台計畫」
  Project Period: 2023.01.01 ~ 2023.12.31
  3. NHRI Title: Develop IL-19 antibody immunotherapy and unravel immunosuppressive mechanism in peritumoral region of glioblastoma by single cell transcriptome analysis
  Project Period: 2023.01.01 ~ 2023.12.31
  4. MOST Title: Building a national model of data hub for healthy aging
  Project Period: 2021.11.01 ~ 2023.10.31
  5. MOST Title: Machine Learning-Based Radiogenomics for Connecting Mr Imaging to Immune-Regulated Genes Expression in Glioblastoma
  Project Period: 2019.08.01 ~ 2022.07.31
  6. NHRI Title: Multi-site Radiogenomics and Radioproteomics of gliomas
  Project Period: 2019.01.01 ~ 2020.12.31
  7. MOST Title: Construction and Application of Medical Image Database in TMU Healthcare System
  Project Period: 2017.12.01 ~ 2020.11.30
  8. MOST Title: Mri Study on Trans-Neuronal Degeneration of the Thalamic Networks after Ischemic Stroke
  Project Period: 2016.08.01 ~ 2019.10.01
  9. MOST Title: Characterization of Thalamocortical Dysrhythmia in Mild Traumatic Brain Injury Using Simultaneous Mri and Eeg Measurements and Pre-Clinical N-Acetylcysteine Treatment Response
  Project Period: 2015.08.01 ~ 2018.07.31
  10. MOST Title: Radiogenomics of Malignant Gliomas by Linking Physiological Mr Imaging, Histopathological Patterns, and Genetic Alternations: a Translational Study from Rat to Man
  Project Period: 2015.08.01 ~ 2018.07.31
  11. MOST – International Cooperation with NIH Title: Characterization of Thalamocortical Dysrhythmia in Mild Traumatic Brain Injury using Simultaneous MRI and EEG Measurements and Preclinical N-acetylcysteine Treatment Response
  Project Period: 2015.08.01 ~ 2018.07.31
  12. MOST Title: Radiogenomics of Malignant Gliomas by linking Physiological MR Imaging, Histopathological patterns, and Genetic alternations: A Translational study from Rat to Man
  Project Period: 2015.08.01 ~ 2018.07.31
  13. MOST Title: Motion-Sensitive MR Imaging in Characterizing Brain Compliance in Cerebral Venous Hypertension: A Translational Study between Humans and Rats
  Project Period: 2015.08.01 ~ 2018.07.31
  14. MOST Title: Restoration of Thalamocortical Oscillation as a Potential Treatment for mTBI: a Small Animal MRI Research
  Project Period: 2015.08.01 ~ 2018.07.31
  15. CECR Title: Advanced MR Imaging Evaluation of Primary Brain Tumor Extent and Response to Treatment
  Project Period: 2015.04.01 ~ 2016.03.31
  16. TMU Title: MR molecular imaging biomarker for treatment response prediction of metastatic lung cancer in brain: A mice model
  Project Period: 2015.04.01 ~ 2016.03.31
  17. TMU Title: Role of cerebrovenous system in intracranial compliance
  Project Period: 2014.01.01 ~ 2015.12.31
  18. MOHW Title: Advanced MR imaging evaluation of primary brain tumor extent and response to Treatment
  Project Period: 2014.01.01 ~ 2017.12.31
  19. MOST Title: A study on trans-neuronal striato-nigral degeneration-induced movement disorders after stroke: Evaluation with grey matter suppression IR and diffusion tensor imaging
  Project Period: 2012.08.01 ~ 2015.07.31
  20. MOST Title: A study of diffusion tensor imaging as a potential surrogate marker for the management of acute ischemic cerebral stroke: A clinical and animal model at 7T
  Project Period: 2011.08.01 ~ 2014.10.31
  21. MOST Title: Pseudoresponse to Bevacizumab treatment in rat glioma: A quantitative study using magnetic nanoparticle targeting method at 7T MRI
  Project Period: 2014.11.01 ~ 2015.10.31

發表論文

• 1. Automatic segmentation and radiomic texture analysis for osteoporosis screening using chest low-dose computed tomography. Yung-Chieh Chen†, Yi-Tien Li †, Po-Chih Kuo, Sho-Jen Cheng, Yi-Hsiang Chung, Duen-Pang Kuo, Cheng-Yu Chen.
  European Radiology, 2023 Jan; e-pub. doi: 10.1007/s00330-023 09421-6. (SCI, IF = 7.034, Q1)
  https://pubmed.ncbi.nlm.nih.gov/36719495/
  2. A prospective reappraisal of motor outcome prediction in patients with acute stroke by using atlas-based diffusion tensor imaging biomarkers. Chen YC, Cheng SJ, Hsieh LC, Shyu HY, Chen MH, Chen CY, Kuo DP.
  Top Stroke Rehabil. 2023 May 20:1-12.
  https://pubmed.ncbi.nlm.nih.gov/37209060/
  3. Personalized Prediction of Postconcussive Working Memory Decline:A Feasibility Study. Yung-Chieh Chen†, Yung-Li Chen†, Duen-Pang Kuo, Yi-Tien Li*,
  Yung-Hsiao Chiang, Jyh-Jong Chang, Sung-Hui Tseng, Cheng-Yu Chen. Journal of Personalized Medicine, 2022 Jan;12(2): 196. doi: 10.3390/jpm12020196. (SCI, IF = 4.945, Q1)
  https://pubmed.ncbi.nlm.nih.gov/35207684/
  4. Management of Patients with Adhesive Capsulitis via Ultrasound-Guided Hydrodilatation without Concomitant Intra-Articular Lidocaine Infusion: A Single-Center Experience. Chen YC, Shen SH, Chiou HJ, Wan YL.
  Life (Basel). 2022 Aug 23;12(9):1293.
  https://pubmed.ncbi.nlm.nih.gov/36143330/
  5. Impact of physiological noise in characterizing the functional MRI default-mode network in Alzheimer’s disease. Yi-Tien Li, Chun-Yuan Chang, Yi-Cheng Hsu, Jong Ling Fuh, Wen-Jui Kuo, Jhy-Neng Yeh, Fa-Hsuan Lin.
  Journal of Cerebral Blood Flow & Metabolism, 2021 Jan;41(1):166-181. doi: 10.1177/0271678X19897442. (SCI, IF = 6.040, Q1)
  https://pubmed.ncbi.nlm.nih.gov/32070180/
  6. Changes in sensorimotor-related thalamic diffusion properties and cerebrospinal fluid hydrodynamics predict gait responses to tap test in idiopathic normal-pressure hydrocephalus. Ping-Huei Tsai*,Yung-Chieh Chen,Shih-Wei Chiang,Teng-Yi Huang,Ming-Chung Chou,Hua-Shan Liu,Hsiao-Wen Chung,Giia-Sheun Peng,Hsin-I Ma,Hung-Wen Kao,Cheng-Yu Chen
  Scientific Reports 2016 Nov 11;6:36650.
  European Radiology (2018) 28:4504–4513
  https://pubmed.ncbi.nlm.nih.gov/29736847/
  7. Erlotinib-Conjugated Iron Oxide Nanoparticles as a Smart Cancer-Targeted Theranostic Probe for MRI. Ahmed Atef Ahmed Ali, Fei-Ting Hsu* , Chia-Ling Hsieh, Chia-Yang Shiau, Chiao-Hsi Chiang, Zung-Hang Wei, Cheng-Yu Chen* and Hsu-Shan Huang
  Scientific Reports 2016 Nov 11;6:36650.
  https://pubmed.ncbi.nlm.nih.gov/27833124/
  8. Revisiting Neuroimaging of Abusive Head Trauma in Infants and Young Children. Kevin Li-Chun Hsieh*, Robert A. Zimmerman, Hung Wen Kao and Cheng-Yu Chen*
  American Journal of Roentgenology. 2015 May 204(5):944-52.
  https://www.ajronline.org/doi/full/10.2214/AJR.14.13228
  9. Curcumin Sensitizes Hepatocellular Carcinoma Cells to Radiation via Suppression of Radiation-Induced NF-kB Activity. Hsu FT*, Liu YC, Hwang JJ.
  Journal of Biomedicine and Biotechnology (2015.07 Accept).
  https://www.hindawi.com/journals/bmri/2015/363671/
  10. Advanced MR imaging of Gliomas: An Update. (Review Articles). Hung-Wen Kao, Shih-Wei Chiang, Hsiao-Wen Chung, Fong Y. Tsai, Cheng-Yu Chen*
  BioMed Research International. Volume 2013, Article ID 970586, 14 pages.
  https://www.hindawi.com/journals/bmri/2013/970586/
  11. Effects of Microvascular Permeability Changes on Contrast-Enhanced T1 and Pharmacokinetic MR Imagings after Ischemia. Hua-Shan Liu*, Hsiao-Wen Chung, Ming-Chung Chou, Michelle Liou, Chao-Ying Wang, Hueng-Wen Gao, Shih-Wei Chiang, Chun-Jung Juan, Guo-Shu Huang, Cheng-Yu Chen*
  STROKE. 44(7):1872-1877, Jul 2013.
  https://pubmed.ncbi.nlm.nih.gov/23743977/
  12. Predicting Stroke Evolution: Comparison of susceptibility-weighted MR imaging with MR perfusion. Kao HW, Tsai FY*, Hasso AH.
  European Radiology 2012; 22: 1397-1403.
  https://pubmed.ncbi.nlm.nih.gov/22322311/
  13. Cerebral Thromboembolism: Value of Susceptibility weighted Imaging(SWI) in the initial diagnosis of acute infarction. Mamlouk MD, Tsai FY*, Drachman D et al.
  The Neuroradiology Journal 2012;.23:86-97.
  https://pubmed.ncbi.nlm.nih.gov/24028876/
  14. Susceptibility-Weighted Imaging, an additional tool to Diagnose Brain Death: Initial Experience. F.Y. Tsai*, K-W. Lee, H-W. Kao, C-Y. Chen.
  NRJ Digital The Neuroradiology Journal 2012;2: 733-736.
  https://pubmed.ncbi.nlm.nih.gov/24029083/
  15. Practical Aspect of shortening susceptibility weighted imaging. Tsai FY*, Shih YY, Tsai APH, Chan W, Chung HW.
  The Neuroradiology Journal 2012;2:613-622.
  https://pubmed.ncbi.nlm.nih.gov/24029176/
  16. Un-Usual Acute Complication of Carotid Cavernous Fistula. Tsai FY*, Lee KW, Chen CJ, Cheng SJ.
  The Neuroradiology J.2011;24:951-964.
  https://pubmed.ncbi.nlm.nih.gov/24059780/