SharePoint
A- A A+

For Patients & Visitors

Find a Doctor

Find a Doctor

Dr Thian Yee Liang

Photo of Dr Thian Yee Liang
Credential:
MBBS (S'pore), FRCR(UK), MMed (Diag Radiol, NUS)
Designation:
Senior Consultant, Department of Diagnostic Imaging, National University Hospital
Consultant, National University Cancer Institute, Singapore

Head, Division of Body Imaging

Informatics Director, Department of Diagnostic Imaging, National University Hospital

Specialty:
Cancer, Diagnostic Imaging
Medical and Surgical Conditions:
Cervical Cancer, Cervical Carcinoma In-Situ, Cervical Dysplasia, Cervical Precancers, Colorectal Cancer, Condyloma Acuminata of the Cervix, Vagina and Vulva, Endometrial Hyperplasia, Fallopian Tube Cancer, Gestational Trophoblastic Disease, Gynaecological Cancers, HPV Infection, Ovarian Cancer, Paget's Disease of the Vulva, Primary Peritoneal Cancer, Vaginal Cancer, Vulvar Cancer, Vulvar Dysplasia, Vulvar Precancers, Womb Cancer (Uterine/Endometrial Cancer)
Special Interest:

Oncologic imaging                                                                                                                Deep machine learning, artificial intelligence in computer vision                                      Functional and whole body MRI                                                                                   Gynecological, urogenital and colorectal imaging


Institution:
National University Hospital
National University Cancer Institute, Singapore
National University Health System
Alexandra Hospital

Dr Thian Yee Liang is a Senior Consultant with Department of Diagnostic Imaging, NUH and NCIS. He obtained his medical degrees from the National University of Singapore (MBBS), the Royal College of Radiologists, United Kingdom [FRCR(UK)] and the Masters of Medicine (S’pore). He was awarded the Academic Medicine Development Award to sub-specialise in oncologic imaging at the Royal Marsden Hospital, United Kingdom. He has special interests in deep learning, body and functional MRI, and oncologic imaging. He has published clinical and research articles in peer-reviewed international journals in relation to oncologic imaging, functional MRI techniques, and deep learning. His current research focus is the application of deep learning to computer vision problems in radiological imaging, and their translation to clinical practice. He is involved in committees for implementation of next generation EMR radiology systems, and implementation of deep learning architectures for clinical radiology workflows.

Awards and Honours

Winner of NUHS Leadership in Academic Medicine (NLAM) Program “Pitch for Funds” $10,000 research grant (Sept 2011) for the project Diffusion Weighted Magnetic Resonance Imaging for Pre-operative Staging of Colorectal Carcinoma (Principle investigator), Best Oral Presentation 

Awarded $98,500 as Principle Investigator for NCIS centre grant seed funding program (Jan 2014) for the project : ‘Is hybrid positron emission tomography magnetic resonance imaging (PET-MRI) an accurate modality for evaluation of rectal cancer patients after chemo-radiotherapy?’ 

Awarded $105,000 as Principle investigator for NUHS seed grant (Nov 2018) : Automatic X-ray fracture detection using deep machine learning: factors impacting model performance.

Academic Medicine Development Award (AMDA) FY 2012 for Functional and Whole-body MRI in Oncologic Imaging at the Royal Marsden Hospital, UK

Professional Memberships

Fellow, Royal College of Radiologists
Member, Singapore Radiological Society
Member, European Society of Radiology

Research and Publications

Original Research Publications (selected)

  1. Dynamic Contrast-Enhanced Computed Tomography in Metastatic Nasopharyngeal Carcinoma: Reproducibility Analysis and Observer Variability of the Distributed Parameter Model. Invest Radiol. 2012 Jan;47(1):5-10. Ng QS, Thng CH, Lim WT, Hartono S, Thian YL, Lee PS, Tan DS, Tan EH, Koh TS.
  2. Atypical Enhancement Pattern of Hepatocellular Carcinoma with Portal Vein Thrombosis on Multiphasic CT. Ann Acad Med Singapore. 2011 Oct;40(10):454-9.YL Thian, Albert SC Low, KH Chow, L Ooi, YF Chung, CS Low, WY Xie, CH Thng
  3. Imaging paradigms in assessment of rectal carcinoma: loco-regional and distant staging. Cancer Imaging. 2012 Oct 2;12:290-303. Liang TY, Anil G, Ang BW.
  4. Liver-specific agents for contrast-enhanced MRI : role in oncological imaging. Cancer Imaging 2013. YL Thian, A. Riddell, DM Koh. Cancer Imaging. 2013 Dec 30;13(4):567-79.
  5. Readout-segmented echo planar imaging for diffusion weighted imaging in the pelvis at 3T – a feasibility study. Academic Radiology 2014. YL Thian, WY Xie, D Porter, Ang BW. Acad Radiol. 2014 Apr;21(4):531-7.
  6. Revised Choi Imaging Criteria Correlate with Clinical Outcomes in Patients with Metastatic Renal Cell Carcinoma Treated with Sunitinib. Thian Y, Gutzeit A, Koh DM, Fisher R, Lote H, Larkin J, Sohaib A. Radiology. 2014 May 26:132702.
  7. Contrast-Enhanced CT Density Predicts Response to Sunitinib Therapy in      Metastatic Renal Cell Carcinoma Patients. Transl Oncol. 2017 Aug;10(4):679-685. doi:10.1016/j.tranon.2017.06.001. Epub 2017 Jun 30. Matoori S, Thian Y, Koh DM, Sohaib A, Larkin J, Pickering L, Gutzeit A.
  8. Prospective comparison  between magnetic resonance imaging and computed tomography in colorectal cancer staging. ANZ J Surg. 2017 Aug 13. doi: 10.1111/ans.14138. Koh FHX, Tan KK, Teo LLS, Ang BWL, Thian YL.
  9. Diagnostic utility of whole body CT scanning in patients with unexplained weight loss. PLoS One. 2018 Jul 27;13(7):e0200686 Goh Y, Dan YY, Chua W, Jagmohan P, Lee JK, Thian YL.
  10. Convolutional Neural Networks for Automated Fracture Detection and Localization on Wrist Radiographs. Radiology: Artificial Intelligence. 2019 Jan 30;1(1):e180001. Thian YL, Li Y, Jagmohan P, Sia D, Chan VE, Tan RT.

Textbook Chapters

  1. Thian YL, Koh DM. Diffusion Weighted Imaging of the Abdomen. In : Gore, Richard M, and Marc S. Levine. Textbook of Gastrointestinal Radiology: 4th ed. Philadelphia : Saunders, 2014