Body Imaging

Description of division:
The Division of Body Imaging consists of 30 Faculty members, located at three different hospital sites, including University Hospital, Victoria Hospital, and St. Joseph’s Health Care. Our Faculty have specialized fellowship training in the interpretation and management of diseases of the abdomen and pelvis, as well as obstetrical and thyroid imaging. Division members are experts in the interpretation of computed tomography, magnetic resonance imaging, ultrasound, molecular imaging, x-ray, and fluoroscopy.

Our Division is committed to providing excellence in clinical care, as evidenced by our Faculty who are members of regional, national and international advisory boards, including Cancer Care Ontario, Canadian Association of Radiologists (CAR), Radiology Society of North America (RSNA) and Society of Abdominal Radiology (SAR). Several faculty members are also cross-appointed at the Lawson Research Health Institute and the Department of Oncology.

Academic and clinical interests of our Division members are wide-ranging, and include gastrointestinal imaging (including CT and MR Enterography, CT Colonography), hepatobiliary imaging (including transplant assessment and hepatocellular carcinoma), oncologic and genitourinary imaging (including fusion imaging and targeted biopsy of the prostate).

List of the division members:
Dr. Justin Amann
Dr. David Bach
Dr. Ilanit Ben Nachum
Dr. Mousumi Bhaduri
Dr. Gary Brahm
Dr. Ian Chan
Dr. Jaron Chong
Dr. Derek Cool
Dr. William Dawson
Dr. Roya Etemad- Rezai
Dr. Aashish Goela
Dr. David Hocking
Dr. Johanne Howey
Dr. Zahra Kassam
Dr. Nasir Khan
Dr. Anat Kornecki
Dr. Stewart Kribs
Dr. Stephanie Leung
Dr. Andrea Lum
Dr. Harry Marshall
Dr. Amol Mujoomdar
Dr. Elaine O’Riordan
Dr. David Peck
Dr. Stephany Pritchett
Dr. Darryl Ramsewak
Dr. Olga Shmuilovich
Dr. Alison Spouge
Dr. Daniele Wiseman
Dr. Cathy Yoshy
Dr. Witek Zaleski

List of current fellows:

Dr. Maya Grisaru, St. Joseph's Healthcare London
Dr. Rebecca Lang, St. Joseph's Healthcare London
Dr. Kristopher McKenzie, St. Joseph's Healthcare London

Fellowship Information: Under construction

News:

'It was a life saver': New London developed device for feeding tube insertions is a world first

Research:

Our Faculty are involved in a wide range of research endeavours, including the following:
1. PSMA PET-CT imaging of the prostate
2. Targeted prostate biopsy/therapy using MRI/US fusion
3. CT-Perfusion as a biomarker of treatment response in rectal and pancreatic cancer
4. Role of MR Elastography and Primovist in stratification of NASH and hepatic fibrosis
5. Abbreviated MRI protocols in routine and oncologic imaging of the abdomen
6. Diffusion-weighted MR imaging of the placenta
7. Inflammatory Bowel Disease
8. Contrast enhanced ultrasound
9. Artificial intelligence in treatment monitoring of pancreatic carcinoma
10. Role of CT perfusion in oncologic diagnosis and monitoring
11. Development, validation, and implementation of machine learning algorithms in abdominal imaging


Publications: 

1. Zhao J, Li D, Xiao X, Accorsi F, Marshall H, Cossetto T, Kim D, McCarthy D, Dawson C, Knezevic S, Chen B, Li S. United adversarial learning for liver tumor segmentation and detection of multi-modality non-contrast MRI.  Medical image analysis, Volume 73, 102154, Elsevier, Oct 1, 2021.

2. Ruan Y, Li D, Marshal H, Timothy Miao, Cossetto T, Chan I, Daher O, Accorsi F, Goela A, Li S. Multi-task uncertainty-constrained GAN for joint segmentation, quantification and uncertainty estimation of renal tumors on CT. International Conference on Medical Image Computing and Computer-Assisted Intervention.
Pages 439-449. Springer, Cham. October 4, 2020

3. Y. Ruan, D. Li, H. R. Marshall, T. Miao, T. Cossetto, I. Chan, O. Daher, F. Accorsi, A. Goela, S. Li. Joint segmentation and quantification of kidney tumor on CT by the multi-branch feature sharing generative adversarial network. Med Image Anal. Available online June 3, 2020.

4. Zhao J, Li D, Kassam Z, Howey J, Chong J, Chen B, Li S. Tripartite-GAN: Synthesizing Liver Contrast-Enhanced MRI to Improve Tumor Detection. Med Image Anal 2020 Jul; 63:101667. doi: 10.1016/j.media.2020.101667. Epub 2020 Apr 22.

5. Marshall H, Shakeri S, Hosseiny M, Sisk A, Sayre J, Lu DS, Pantuck A, Raman S. Long-term survival after percutaneous radiofrequency ablation of pathologically proven renal cell carcinoma in 100 patients. Journal of Vascular and Interventional Radiology. Volume, 31, Issue 1. Pages 15-24. Elsevier, January 1, 2020

6. Liu W, Fakir H, Randhawa G, Kassam Z, Chung HT, Chung P, Ward A, Zukotynski K, Emmett L, Bauman GS. DRIVE: Defining Radiorecurrent Intraprostatic Target Volumes. International Journal of Radiation Oncology, Biology, Physics, 2019 September 1, 105(1): E291; doi.org/10.1016/j.ijrobp.2019.06.1834.

7. Kassam Z, Ohorodnyk P, Lee TY, Burger K Study: N-staging in Primary Head and Neck Malignancies: Can CT-Perfusion Differentiate between Malignant and Non-Malignant Lymph Nodes? Results from a Prospective, Blinded Feasibility Study Comparing CT Perfusion Findings to Histopathology (Abstract), Western University, 14th Annual London Imaging Discovery Day, June 12, 2019.

8. Hope TA, Gollub MJ, Arya S, Bates DDB, Ganeshan D, Harisinghani M, Jhaveri KS, Kassam Z, Kim DH, Korngold E, Lalwani N, Moreno CC, Nougaret S, Paroder V, Paspulati RM, Golia Pernicka JS, Petkovska I, Pickhardt PJ, Rauch GM, Rosenthal MH, Sheedy SP, Horvat N. Rectal cancer lexicon: consensus statement from the society of abdominal radiology rectal and anal cancer disease-focused panel. Abdom Radiol (NY), 2019; 44:3508-3517, doi. 10.1007/s00261-019-02170-5.

9. Kassam Z, Burgers K, Walsh JC, Lee TY, Leong HS, Fisher B. A prospective feasibility study evaluating the role of multimodality imaging and liquid biopsy for response assessment in locally advanced rectal carcinoma. Abdom Radiol (NY) 2019; 44:3641-3651, doi: 10.1007/s00261-019-02135-8.

10. Hope TA, Kassam Z, Loening A, McNamara MM, Paspulati R. The use of PET/MRI for imaging rectal cancer. Abdom Radiol (NY) 2019; 44(11): 3559-3568, doi: 10.1007/s00261-019-02089.

11. Nougaret S, Jhaveri K, Kassam Z, Lall C, Kim DH. Rectal cancer MR staging: pearls and pitfalls at baseline examination. Abdom Radiol (NY), 2019; 44(11): 3536-3548, doi: 10.1007/s00261-019-02024-0.

12. Elsayes KM, Kielar AZ, Chernyak V, Morshid A, Furlan A, Masch WR, Marks RM, Kamaya A, Do RKG, Kono Y, Fowler KJ, Tang A, Bashir MR, Hecht EM, Jambhekar K, Lyshchik A, Rodgers SK, Heiken JP, Kohli M, Fetzer DT, Wilson SR, Kassam Z, Meniratta-Lala M, Singal AG, Lim CS, Cruite I, Lee J, Ash R, Mitchell DG, McInnes MDF, Sirlin CB. LI-RADS: A conceptual and historical review from its beginning to its recent integration into AASLD clinical practice guidance. J Hepatocell Carcinoma. 2019; 6:49-69, doi: 10.2147/JHC.S186239. eCollection 2019. Review.

13. Marshall H, Hawel J, Meschino M, Wiseman D, Mujoomdar A, Lau E, Leslie K, Yoshy C. Staging Computed Tomography in Patients With Noncurative Laparotomy for Periampullary Cancer: Does Nonstructured Reporting Adequately Communicate Resectability? Canadian Association of Radiologists Journal, Vol 69, Issue 1, Pages 97-104. February 2018