林吉晉 Gigin Lin
姓名: |
林吉晉 Gigin Lin |
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職稱: |
學術組 教授級 主治醫師 |
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E-mail: |
giginlin@cgmh.org.tw |
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學歷: |
英國倫敦大學 癌症研究中心 博士 長庚大學 醫學系 |
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經歷: |
2020.07 – 迄今 長庚醫院 教授 |
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2005.07 – 迄今 林口長庚紀念醫院 影像診療科部 主治醫師 |
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2017.07 – 2020.06 長庚大學 醫學院 副教授 |
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2011.07 – 2017.06 長庚大學 醫學院 助理教授 |
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2008.07 – 2011.06 長庚大學 醫學院 講師 |
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2001.07 – 2005.06 林口長庚紀念醫院 影像診療科部 住院醫師 |
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專長: |
磁振造影學、癌症影像學、代謝體學 |
學術發表
Hsieh, C. Y., Sung, C. H., Shen, Y. E., Lai, Y. C., Lu, K. Y., & Lin, G. (2022). Developing a Method to Estimate the Downstream Metabolite Signals from Hyperpolarized [1-13C]Pyruvate. Sensors (Basel, Switzerland), 22(15), 5480. https://doi.org/10.3390/s22155480
Lin, Y., Wu, R. C., Huang, Y. L., Chen, K., Tseng, S. C., Wang, C. J., Chao, A., Lai, C. H., & Lin, G. (2022). Uterine fibroid-like tumors: spectrum of MR imaging findings and their differential diagnosis. Abdominal radiology (New York), 47(6), 2197–2208. https://doi.org/10.1007/s00261-022-03431-6
Wang, C. C., Wu, P. H., Lin, G., Huang, Y. L., Lin, Y. C., Chang, Y. E., & Weng, J. C. (2022). Magnetic Resonance-Based Synthetic Computed Tomography Using Generative Adversarial Networks for Intracranial Tumor Radiotherapy Treatment Planning. Journal of personalized medicine, 12(3), 361. https://doi.org/10.3390/jpm12030361
Tang, C. M., Lin, G., Chiang, M. H., Yeh, K. W., Huang, J. L., Su, K. W., Tsai, M. H., Hua, M. C., Liao, S. L., Lai, S. H., & Chiu, C. Y. (2022). Longitudinal Metabolomic Analysis Reveals Gut Microbial-Derived Metabolites Related to Formula Feeding and Milk Sensitization Development in Infancy. Metabolites, 12(2), 127. https://doi.org/10.3390/metabo12020127
Huang, P. C., Wu, R. C., Juan, Y. H., Ho, H. Y., Lin, Y. C., Huang, Y. T., Ng, S. H., Lai, C. H., Chao, A., & Lin, G. (2022). Diagnostic Accuracy of Whole-Body Computed Tomography for Incidental Ovarian Tumors in Patients with Prior Breast Cancer. Diagnostics (Basel, Switzerland), 12(2), 347. https://doi.org/10.3390/diagnostics12020347
Sørland, K. I., Sunoqrot, M., Sandsmark, E., Langørgen, S., Bertilsson, H., Trimble, C. G., Lin, G., Selnæs, K. M., Goa, P. E., Bathen, T. F., & Elschot, M. (2022). Pseudo-T2 mapping for normalization of T2-weighted prostate MRI. Magma (New York, N.Y.), 35(4), 573–585. https://doi.org/10.1007/s10334-022-01003-9
Yala, A., Mikhael, P. G., Lehman, C., Lin, G., Strand, F., Wan, Y. L., Hughes, K., Satuluru, S., Kim, T., Banerjee, I., Gichoya, J., Trivedi, H., & Barzilay, R. (2022). Optimizing risk-based breast cancer screening policies with reinforcement learning. Nature medicine, 28(1), 136–143. https://doi.org/10.1038/s41591-021-01599-w
Chen, K., Lai, Y. C., Vanniarajan, B., Wang, P. H., Wang, S. C., Lin, Y. C., Ng, S. H., Tran, P., & Lin, G. (2022). Clinical impact of a deep learning system for automated detection of missed pulmonary nodules on routine body computed tomography including the chest region. European radiology, 32(5), 2891–2900. https://doi.org/10.1007/s00330-021-08412-9
Lin, H. T., Cheng, M. L., Lo, C. J., Hsu, W. C., Lin, G., & Liu, F. C. (2021). 1H NMR metabolomic profiling of human cerebrospinal fluid in aging process. American journal of translational research, 13(11), 12495–12508.
Chiu, C. Y., Cheng, M. L., Chiang, M. H., Wang, C. J., Tsai, M. H., & Lin, G. (2021). Integrated metabolic and microbial analysis reveals host-microbial interactions in IgE-mediated childhood asthma. Scientific reports, 11(1), 23407. https://doi.org/10.1038/s41598-021-02925-5
Kalantar, R., Lin, G., Winfield, J. M., Messiou, C., Lalondrelle, S., Blackledge, M. D., & Koh, D. M. (2021). Automatic Segmentation of Pelvic Cancers Using Deep Learning: State-of-the-Art Approaches and Challenges. Diagnostics (Basel, Switzerland), 11(11), 1964. https://doi.org/10.3390/diagnostics11111964
Liu, F. Y., Sheng, T. W., Tseng, J. R., Yu, K. J., Tsui, K. H., Pang, S. T., Wang, L. J., & Lin, G. (2022). Prostate-specific membrane antigen (PSMA) fusion imaging in prostate cancer: PET-CT vs PET-MRI. The British journal of radiology, 95(1131), 20210728. https://doi.org/10.1259/bjr.20210728
Yala, A., Mikhael, P. G., Strand, F., Lin, G., Satuluru, S., Kim, T., Banerjee, I., Gichoya, J., Trivedi, H., Lehman, C. D., Hughes, K., Sheedy, D. J., Matthis, L. M., Karunakaran, B., Hegarty, K. E., Sabino, S., Silva, T. B., Evangelista, M. C., Caron, R. F., Souza, B., … Barzilay, R. (2022). Multi-Institutional Validation of a Mammography-Based Breast Cancer Risk Model. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 40(16), 1732–1740. https://doi.org/10.1200/JCO.21.01337
Lin, Y., Hsieh, C. Y., Huang, Y. L., Chen, K., Huang, Y. T., Wu, R. C., Huang, H. J., Chou, H. H., Chao, A., Lai, C. H., & Lin, G. (2021). Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study. Diagnostics (Basel, Switzerland), 11(10), 1847. https://doi.org/10.3390/diagnostics11101847
Wang, C., Lin, G., Huang, Y. et al. Correction to: A feasibility analysis of the ArcBlate MR‑guided high‑intensity focused ultrasound system for the ablation of uterine fibroids. Abdom Radiol 47, 490–493 (2022). https://doi.org/10.1007/s00261-021-03275-6
Lai, Y. C., Hsieh, C. Y., Lu, K. Y., Sung, C. H., Ho, H. Y., Cheng, M. L., Chen, A. P., Ng, S. H., Chen, F. H., & Lin, G. (2021). Monitoring Early Glycolytic Flux Alterations Following Radiotherapy in Cancer and Immune Cells: Hyperpolarized Carbon-13 Magnetic Resonance Imaging Study. Metabolites, 11(8), 518. https://doi.org/10.3390/metabo11080518
Juang, H. H., Chen, S. M., Lin, G., Chiang, M. H., Hou, C. P., Lin, Y. H., Yang, P. S., Chang, P. L., Chen, C. L., Lin, K. Y., & Tsui, K. H. (2021). The Clinical Experiences of Urine Metabolomics of Genitourinary Urothelial Cancer in a Tertiary Hospital in Taiwan. Frontiers in oncology, 11, 680910. https://doi.org/10.3389/fonc.2021.680910
Hung, C. I., Lin, G., Chiang, M. H., & Chiu, C. Y. (2021). Metabolomics-based discrimination of patients with remitted depression from healthy controls using 1H-NMR spectroscopy. Scientific reports, 11(1), 15608. https://doi.org/10.1038/s41598-021-95221-1
Wang, C. J., Lin, G., Huang, Y. T., Weng, C. H., Wu, K. Y., Su, Y. Y., Lin, Y. S., & Mak, K. S. (2021). A feasibility analysis of the ArcBlate MR-guided high-intensity focused ultrasound system for the ablation of uterine fibroids. Abdominal radiology (New York), 46(11), 5307–5315. https://doi.org/10.1007/s00261-021-03203-8
Chiu, C. Y., Lin, G., Wang, C. J., Hung, S. I., & Chung, W. H. (2021). Metabolomics reveals microbial-derived metabolites associated with immunoglobulin E responses in filaggrin-related atopic dermatitis. Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology, 32(8), 1709–1717. https://doi.org/10.1111/pai.13570
Lin, Y. C., Lin, G., & Yeh, T. S. (2021). Visceral-to-subcutaneous fat ratio independently predicts the prognosis of locally advanced gastric cancer----- highlighting the role of adiponectin receptors and PPARα, β/ δ, ɤ. European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology, 47(12), 3064–3073. https://doi.org/10.1016/j.ejso.2021.04.028
Chung, Y. H., Tsai, C. K., Yu, C. F., Wang, W. L., Yang, C. L., Hong, J. H., Yen, T. C., Chen, F. H., & Lin, G. (2021). Radiation-Induced Metabolic Shifts in the Hepatic Parenchyma: Findings from 18F-FDG PET Imaging and Tissue NMR Metabolomics in a Mouse Model for Hepatocellular Carcinoma. Molecules (Basel, Switzerland), 26(9), 2573. https://doi.org/10.3390/molecules26092573
Yang, L. Y., Siow, T. Y., Lin, Y. C., Wu, R. C., Lu, H. Y., Chiang, H. J., Ho, C. Y., Huang, Y. T., Huang, Y. L., Pan, Y. B., Chao, A., Lai, C. H., & Lin, G. (2021). Computer-Aided Segmentation and Machine Learning of Integrated Clinical and Diffusion-Weighted Imaging Parameters for Predicting Lymph Node Metastasis in Endometrial Cancer. Cancers, 13(6), 1406. https://doi.org/10.3390/cancers13061406
Tseng, T. Y., Tseng, J. H., Huang, B. S., Lin, S. Y., Chen, C. B., Fang, Y. W., Lin, G., & Lai, Y. C. (2021). Risk of nephrogenic systemic fibrosis in patients with impaired renal function undergoing fixed-dose gadoxetic acid-enhanced magnetic resonance imaging. Abdominal radiology (New York), 46(8), 3995–4001. https://doi.org/10.1007/s00261-021-03045-4
Yala, A., Mikhael, P. G., Strand, F., Lin, G., Smith, K., Wan, Y. L., Lamb, L., Hughes, K., Lehman, C., & Barzilay, R. (2021). Toward robust mammography-based models for breast cancer risk. Science translational medicine, 13(578), eaba4373. https://doi.org/10.1126/scitranslmed.aba4373
Lai, Y. C., Juan, Y. H., Ng, S. H., Lo, T. C., Chuang, W. Y., Chen, C. C., Liau, C. T., Lin, G., Lin, Y. J., & Lin, Y. C. (2020). Simple Stepwise Approach to Differentiate Cyst-Like Soft-Tissue Masses by Using Time-Resolved Magnetic Resonance Angiography. Diagnostics (Basel, Switzerland), 10(12), 1094. https://doi.org/10.3390/diagnostics10121094
Wu, C. E., Yang, C. K., Peng, M. T., Huang, P. W., Chang, C. F., Yeh, K. Y., Chen, C. B., Wang, C. L., Hsu, C. W., Chen, I. W., Lin, C. T., Ueng, S. H., Lin, G., Lin, Y. F., Cheng, C. Y., & Chang, J. W. (2020). The association between immune-related adverse events and survival outcomes in Asian patients with advanced melanoma receiving anti-PD-1 antibodies. BMC cancer, 20(1), 1018. https://doi.org/10.1186/s12885-020-07508-7
Lee, C. W., Yu, M. C., Lin, G., Chiu, J. C., Chiang, M. H., Sung, C. M., Hsieh, Y. C., Kuo, T., Lin, C. Y., & Tsai, H. I. (2020). Serum metabolites may be useful markers to assess vascular invasion and identify normal alpha-fetoprotein in hepatocellular carcinoma undergoing liver resection: a pilot study. World journal of surgical oncology, 18(1), 121. https://doi.org/10.1186/s12957-020-01885-w
Juan, Y. H., Huang, P. C., Lin, G., Liu, M. H., Lin, Y. C., Wang, J. J., Ng, K. K., Cheung, Y. C., Wang, C. H., & Ng, S. H. (2020). Oxygen-sensitive T2* magnetic resonance imaging to correlate heart function and ischemic etiology of post-hospitalized chronic heart failure patients. European journal of radiology, 128, 109036. https://doi.org/10.1016/j.ejrad.2020.109036
Tsai, C. K., Lin, C. Y., Kang, C. J., Liao, C. T., Wang, W. L., Chiang, M. H., Yen, T. C., & Lin, G. (2020). Nuclear Magnetic Resonance Metabolomics Biomarkers for Identifying High Risk Patients with Extranodal Extension in Oral Squamous Cell Carcinoma. Journal of clinical medicine, 9(4), 951. https://doi.org/10.3390/jcm9040951
Chiu, C. Y., Cheng, M. L., Chiang, M. H., Wang, C. J., Tsai, M. H., & Lin, G. (2020). Metabolomic Analysis Reveals Distinct Profiles in the Plasma and Urine Associated with IgE Reactions in Childhood Asthma. Journal of clinical medicine, 9(3), 887. https://doi.org/10.3390/jcm9030887
Chen, F. H., Yu, C. F., Yang, C. L., Lin, Y. C., Lin, G., Wang, C. C., Yu, H. P., Fang, J., Chang, N. F., & Hong, J. H. (2020). Multimodal imaging reveals transient liver metabolic disturbance and sinusoidal circulation obstruction after a single administration of ketamine/xylazine mixture. Scientific reports, 10(1), 3657. https://doi.org/10.1038/s41598-020-60347-1
Chang, K. F., Lin, G., Huang, P. C., Juan, Y. H., Wang, C. H., Tsai, S. Y., Lin, Y. C., Wu, M. T., Liao, P. A., Yang, L. Y., Liu, M. H., Lin, Y. C., Wang, J. J., Ng, K. K., & Ng, S. H. (2020). Left Ventricular Function and Myocardial Triglyceride Content on 3T Cardiac MR Predict Major Cardiovascular Adverse Events and Readmission in Patients Hospitalized with Acute Heart Failure. Journal of clinical medicine, 9(1), 169. https://doi.org/10.3390/jcm9010169
Huang, H. J., Yang, L. Y., Tung, H. J., Ku, F. C., Wu, R. C., Tang, Y. H., Chang, W. Y., Jung, S. M., Wang, C. C., Lin, C. T., Liu, F. Y., Lin, G., Chen, M. Y., Chou, H. H., Chang, T. C., Chao, A., & Lai, C. H. (2020). Management and clinical outcomes of patients with recurrent/progressive ovarian clear cell carcinoma. Journal of the Formosan Medical Association = Taiwan yi zhi, 119(4), 793–804. https://doi.org/10.1016/j.jfma.2019.11.018
Lai, Y. C., Chang, W. C., Chen, C. B., Wang, C. L., Lin, Y. F., Ho, M. M., Cheng, C. Y., Huang, P. W., Hsu, C. W., & Lin, G. (2020). Response evaluation for immunotherapy through semi-automatic software based on RECIST 1.1, irRC, and iRECIST criteria: comparison with subjective assessment. Acta radiologica (Stockholm, Sweden : 1987), 61(7), 983–991. https://doi.org/10.1177/0284185119887588
Lin, Y. C., Lin, C. H., Lu, H. Y., Chiang, H. J., Wang, H. K., Huang, Y. T., Ng, S. H., Hong, J. H., Yen, T. C., Lai, C. H., & Lin, G. (2020). Deep learning for fully automated tumor segmentation and extraction of magnetic resonance radiomics features in cervical cancer. European radiology, 30(3), 1297–1305. https://doi.org/10.1007/s00330-019-06467-3
Cheng, S. C., Chen, K., Chiu, C. Y., Lu, K. Y., Lu, H. Y., Chiang, M. H., Tsai, C. K., Lo, C. J., Cheng, M. L., Chang, T. C., & Lin, G. (2019). Metabolomic biomarkers in cervicovaginal fluid for detecting endometrial cancer through nuclear magnetic resonance spectroscopy. Metabolomics : Official journal of the Metabolomic Society, 15(11), 146. https://doi.org/10.1007/s11306-019-1609-z
Andrejeva, G., Gowan, S., Lin, G., Wong Te Fong, A. L., Shamsaei, E., Parkes, H. G., Mui, J., Raynaud, F. I., Asad, Y., Vizcay-Barrena, G., Nikitorowicz-Buniak, J., Valenti, M., Howell, L., Fleck, R. A., Martin, L. A., Kirkin, V., Leach, M. O., & Chung, Y. L. (2020). De novo phosphatidylcholine synthesis is required for autophagosome membrane formation and maintenance during autophagy. Autophagy, 16(6), 1044–1060. https://doi.org/10.1080/15548627.2019.1659608
Huang, Y. L., Ueng, S. H., Chen, K., Huang, Y. T., Lu, H. Y., Ng, K. K., Chang, T. C., Lai, C. H., & Lin, G. (2019). Utility of diffusion-weighted and contrast-enhanced magnetic resonance imaging in diagnosing and differentiating between high- and low-grade uterine endometrial stromal sarcoma. Cancer imaging : the official publication of the International Cancer Imaging Society, 19(1), 63. https://doi.org/10.1186/s40644-019-0247-z
Lin, H. T., Cheng, M. L., Lo, C. J., Lin, G., Lin, S. F., Yeh, J. T., Ho, H. Y., Lin, J. R., & Liu, F. C. (2019). 1H Nuclear Magnetic Resonance (NMR)-Based Cerebrospinal Fluid and Plasma Metabolomic Analysis in Type 2 Diabetic Patients and Risk Prediction for Diabetic Microangiopathy. Journal of clinical medicine, 8(6), 874. https://doi.org/10.3390/jcm8060874
Chiu, C. Y., Cheng, M. L., Chiang, M. H., Kuo, Y. L., Tsai, M. H., Chiu, C. C., & Lin, G. (2019). Gut microbial-derived butyrate is inversely associated with IgE responses to allergens in childhood asthma. Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology, 30(7), 689–697. https://doi.org/10.1111/pai.13096
Lai, Y. C., Yeh, T. S., Wu, R. C., Tsai, C. K., Yang, L. Y., Lin, G., & Kuo, M. D. (2019). Acute Tumor Transition Angle on Computed Tomography Predicts Chromosomal Instability Status of Primary Gastric Cancer: Radiogenomics Analysis from TCGA and Independent Validation. Cancers, 11(5), 641. https://doi.org/10.3390/cancers11050641
Hung, C. Y., Yeh, T. S., Tsai, C. K., Wu, R. C., Lai, Y. C., Chiang, M. H., Lu, K. Y., Lin, C. N., Cheng, M. L., & Lin, G. (2019). Glycerophospholipids pathways and chromosomal instability in gastric cancer: Global lipidomics analysis. World journal of gastrointestinal oncology, 11(3), 181–194. https://doi.org/10.4251/wjgo.v11.i3.181
Chiu, C. Y., Cheng, M. L., Wong, K. S., Lai, S. H., Chiang, M. H., Tsai, M. H., & Lin, G. (2019). Metabolomics Reveals Anaerobic Bacterial Fermentation and Hypoxanthine Accumulation for Fibrinous Pleural Effusions in Children with Pneumonia. Journal of proteome research, 18(3), 1248–1254. https://doi.org/10.1021/acs.jproteome.8b00864
Wang, P. H., Huang, Y. T., Ng, K. K., Chou, H. H., Lu, H. Y., Ng, S. H., & Lin, G. (2019). Detecting recurrent ovarian cancer: revisit the values of whole-body CT and serum CA 125 levels. Acta radiologica (Stockholm, Sweden : 1987), 60(10), 1360–1366. https://doi.org/10.1177/0284185118822649
Huang, Y. T., Huang, Y. L., Ng, K. K., & Lin, G. (2019). Current Status of Magnetic Resonance Imaging in Patients with Malignant Uterine Neoplasms: A Review. Korean journal of radiology, 20(1), 18–33. https://doi.org/10.3348/kjr.2018.0090
Lin, G., Yang, L. Y., Lin, Y. C., Huang, Y. T., Liu, F. Y., Wang, C. C., Lu, H. Y., Chiang, H. J., Chen, Y. R., Wu, R. C., Ng, K. K., Hong, J. H., Yen, T. C., & Lai, C. H. (2019). Prognostic model based on magnetic resonance imaging, whole-tumour apparent diffusion coefficient values and HPV genotyping for stage IB-IV cervical cancer patients following chemoradiotherapy. European radiology, 29(2), 556–565. https://doi.org/10.1007/s00330-018-5651-4
Tsai, C. K., Yeh, T. S., Wu, R. C., Lai, Y. C., Chiang, M. H., Lu, K. Y., Hung, C. Y., Ho, H. Y., Cheng, M. L., & Lin, G. (2018). Metabolomic alterations and chromosomal instability status in gastric cancer. World journal of gastroenterology, 24(33), 3760–3769. https://doi.org/10.3748/wjg.v24.i33.3760
Chung, Y. H., Lu, K. Y., Chiu, S. C., Lo, C. J., Hung, L. M., Huang, J. P., Cheng, M. L., Wang, C. H., Tsai, C. K., Lin, Y. C., Chang, S. H., & Lin, G. (2018). Early Imaging Biomarker of Myocardial Glucose Adaptations in High-Fat-Diet-Induced Insulin Resistance Model by Using 18F-FDG PET and [U-13C]glucose Nuclear Magnetic Resonance Tracer. Contrast media & molecular imaging, 2018, 8751267. https://doi.org/10.1155/2018/8751267
Ho, K. C., Dean Fang, Y. H., Lin, G., Ueng, S. H., Wu, T. I., Lai, C. H., Chueh, H. Y., Chao, A., Chang, T. C., & Yen, T. C. (2018). Presurgical Identification of Uterine Smooth Muscle Malignancies through the Characteristic FDG Uptake Pattern on PET Scans. Contrast media & molecular imaging, 2018, 7890241. https://doi.org/10.1155/2018/7890241
Chin, T. H., Lin, G., Wu, R. C., & Lai, C. H. (2018). Recurrence after fertility-preserving surgery for low-grade endometrial stromal sarcoma. The journal of obstetrics and gynaecology research, 44(9), 1836–1842. https://doi.org/10.1111/jog.13695
Chiu, C. Y., Lin, G., Cheng, M. L., Chiang, M. H., Tsai, M. H., Su, K. W., Hua, M. C., Liao, S. L., Lai, S. H., Yao, T. C., Yeh, K. W., & Huang, J. L. (2018). Longitudinal urinary metabolomic profiling reveals metabolites for asthma development in early childhood. Pediatric allergy and immunology : official publication of the European Society of Pediatric Allergy and Immunology, 29(5), 496–503. https://doi.org/10.1111/pai.12909
Lin, G., Lin, K. J., Wang, F., Chen, T. C., Yen, T. C., & Yeh, T. S. (2018). Synergistic antiproliferative effects of an mTOR inhibitor (rad001) plus gemcitabine on cholangiocarcinoma by decreasing choline kinase activity. Disease models & mechanisms, 11(8), dmm033050. https://doi.org/10.1242/dmm.033050
Lin, G., Lai, C. H., & Yen, T. C. (2018). Emerging Molecular Imaging Techniques in Gynecologic Oncology. PET clinics, 13(2), 289–299. https://doi.org/10.1016/j.cpet.2017.11.011
Deng, C. Y., Juan, Y. H., Cheung, Y. C., Lin, Y. C., Lo, Y. F., Lin, G., Chen, S. C., & Ng, S. H. (2018). Quantitative analysis of enhanced malignant and benign lesions on contrast-enhanced spectral mammography. The British journal of radiology, 91(1086), 20170605. https://doi.org/10.1259/bjr.20170605
Huang, Y. T., Chang, C. B., Yeh, C. J., Lin, G., Huang, H. J., Wang, C. C., Lu, K. Y., Ng, K. K., Yen, T. C., & Lai, C. H. (2018). Diagnostic accuracy of 3.0T diffusion-weighted MRI for patients with uterine carcinosarcoma: Assessment of tumor extent and lymphatic metastasis. Journal of magnetic resonance imaging : JMRI, 10.1002/jmri.25981. Advance online publication. https://doi.org/10.1002/jmri.25981
Yeh, C. H., Lin, G., Wang, J. J., Lin, C. Y., Tsai, S. Y., Lin, Y. C., Wu, Y. M., Ko, S. F., Wang, H. M., Chan, S. C., Yen, T. C., Liao, C. T., & Ng, S. H. (2017). Predictive value of 1H MR spectroscopy and 18F-FDG PET/CT for local control of advanced oropharyngeal and hypopharyngeal squamous cell carcinoma receiving chemoradiotherapy: a prospective study. Oncotarget, 8(70), 115513–115525. https://doi.org/10.18632/oncotarget.23306
Lin, G., Lin, Y. C., Wu, R. C., Yang, L. Y., Lu, H. Y., Tsai, S. Y., Huang, Y. T., Huang, Y. L., Lu, K. Y., Ng, K. K., Yen, T. C., Chao, A., Lai, C. H., & Hong, J. H. (2018). Developing and validating a multivariable prediction model to improve the diagnostic accuracy in determination of cervical versus endometrial origin of uterine adenocarcinomas: A prospective MR study combining diffusion-weighted imaging and spectroscopy. Journal of magnetic resonance imaging : JMRI, 47(6), 1654–1666. https://doi.org/10.1002/jmri.25899
Su, T. P., Lin, G., Huang, Y. T., Liu, F. Y., Wang, C. C., Chao, A., Chou, H. H., Yen, T. C., & Lai, C. H. (2018). Comparison of positron emission tomography/computed tomography and magnetic resonance imaging for posttherapy evaluation in patients with advanced cervical cancer receiving definitive concurrent chemoradiotherapy. European journal of nuclear medicine and molecular imaging, 45(5), 727–734. https://doi.org/10.1007/s00259-017-3884-0
Chung, Y. H., Tsai, C. K., Wang, C. C., Chen, H. M., Lu, K. Y., Chiu, H., Lin, Y. C., Yen, T. C., & Lin, G. (2017). Early Response Monitoring Following Radiation Therapy by Using [18F]FDG and [11C]Acetate PET in Prostate Cancer Xenograft Model with Metabolomics Corroboration. Molecules (Basel, Switzerland), 22(11), 1946. https://doi.org/10.3390/molecules22111946
Lin, G., Keshari, K. R., & Park, J. M. (2017). Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy. Contrast media & molecular imaging, 2017, 6053879. https://doi.org/10.1155/2017/6053879
Wu, R. C., Chao, A. S., Lee, L. Y., Lin, G., Chen, S. J., Lu, Y. J., Huang, H. J., Yen, C. F., Han, C. M., Lee, Y. S., Wang, T. H., & Chao, A. (2017). Massively parallel sequencing and genome-wide copy number analysis revealed a clonal relationship in benign metastasizing leiomyoma. Oncotarget, 8(29), 47547–47554. https://doi.org/10.18632/oncotarget.17708
Ho, H. Y., Lin, Y. T., Lin, G., Wu, P. R., & Cheng, M. L. (2017). Nicotinamide nucleotide transhydrogenase (NNT) deficiency dysregulates mitochondrial retrograde signaling and impedes proliferation. Redox biology, 12, 916–928. https://doi.org/10.1016/j.redox.2017.04.035
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