Masoom Haider
Dr. Masoom Haider is the Director of the Sinai Health Research MRI and Head of the Radiomics and Machine Learning Lab at Sinai Health. He is a Staff Radiologist in the Joint Department of Medical Imaging at Sinai Health and Princess Margaret Cancer Centre, Senior Clinician Scientist at the Lunenfeld-Tanenbaum Research Institute (LTRI) and Professor in the Department of Medical Imaging, University of Toronto as well as a Clinician Scientist at the Ontario Institute of Cancer Research. He was previously the Chief of Medical Imaging at Sunnybrook Health Sciences Centre and the Head of Abdominal MRI.
Dr. Haider received his MD from the University of Ottawa and undertook additional training at the University of Toronto and the Cleveland Clinic Foundation.
Dr. Haider is the imaging lead on national MRI trials in prostate cancer. He has worked on guideline development for the use of multiparametric prostate MRI (mpMRI) for prostate cancer, namely the Pi-Rads standard. He holds a Chair in Artificial Intelligence, Imaging Biomarkers and Radiomics at the LTRI, Sinai Health. In the JDMI and LTRI, he leads the AI, Radiomics and Oncologic Imaging Research Lab and collaborates with oncologists, computer scientists, engineers, radiologists, and biomedical physicists.
Dr. Haider’s research focuses on prostate cancer localization with MRI using multiparametric approaches; radiological pathologic correlation in prostate cancer, GU malignancies and other abdominal and pelvic malignancies; and feature analysis of tumors for imaging biomarker validation (radiomics) and therapy response assessment. He holds three patents on technologies related to medical imaging as well as intellectual property related to medical imaging teaching. He has published more than 200 publications in peer-reviewed journals.
- The role of [18F]-DCFPyL PET/MRI radiomics for pathological grade group prediction in prostate cancer
CONCLUSION: The combined [^(18)F]-DCFPyL PET/MRI radiomic model was the best-performing model and outperformed the clinical model for pathological […]
- Best Current Practice and Research Priorities in Active Surveillance for Prostate Cancer-A Report of a Movember International Consensus Meeting
CONCLUSIONS: The current best practice in AS includes the use of high-quality MRI to avoid DRE and as the first assessment for changes in PSA, with […]
- Impact of muscle mass on survival of patients with hepatocellular carcinoma after liver transplantation beyond the Milan criteria
CONCLUSIONS: Overall, we can conclude that higher muscle mass contributes to a better long-term survival. However, for individual patients, low […]
- CT Radiomics and Whole Genome Sequencing in Patients with Pancreatic Ductal Adenocarcinoma: Predictive Radiogenomics Modeling
We investigate whether computed tomography (CT) derived radiomics may correlate with driver gene mutations in patients with pancreatic ductal […]
- Prostate MRI versus PSA screening for prostate cancer detection (the MVP Study): a randomised clinical trial
CONCLUSIONS: Prostate MRI as a stand-alone screening test reduced the rate of prostate biopsy. The number of clinically significant cancers detected […]
- Correlation of transcriptional subtypes with a validated CT radiomics score in resectable pancreatic ductal adenocarcinoma
CONCLUSIONS: In patients with resectable PDAC, an externally validated prognostic radiomic model derived from preoperative CT is associated with the […]
- Canadian Association of Radiologists Prostate MRI White Paper
Prostate cancer is the most common malignancy and the third most common cause of death in Canadian men. In light of evolving diagnostic pathways for […]
- Adverse Pathological Findings at Radical Prostatectomy following Active Surveillance: Results from the Movember GAP3 Cohort
Background: Little is known about the consequences of delaying radical prostatectomy (RP) after Active Surveillance (AS) according to stringent or […]
- Comparison of Micro-US and Multiparametric MRI for Prostate Cancer Detection in Biopsy-Naive Men
Background Multiparametric MRI has led to increased detection of clinically significant prostate cancer (csPCa). Micro-US is being investigated for […]
- Active Surveillance for Men Younger than 60 Years or with Intermediate-risk Localized Prostate Cancer. Descriptive Analyses of Clinical Practice in the Movember GAP3 Initiative
CONCLUSIONS: Our descriptive analysis of AS practices worldwide showed that the risk of progression during AS is similar across the age and risk […]
- T2-weighted MRI radiomics in high-grade intramedullary osteosarcoma: predictive accuracy in assessing histologic response to chemotherapy, overall survival, and disease-free survival
CONCLUSIONS: T2-weighted MRI radiomic models demonstrate promising results as potential prognostic biomarkers of prospective tumor response to […]
- Radiomics in Abdominopelvic Solid-Organ Oncologic Imaging: Current Status
Radiomics is the process of extraction of high-throughput quantitative imaging features from medical images. These features represent noninvasive […]
- A Prospective Study of Magnetic Resonance Imaging-guided Focal Salvage High-dose-Rate Brachytherapy for Radiorecurrent Prostate Cancer: Updated Results of 30 Patients
CONCLUSIONS: Focal salvage HDR brachytherapy has a favorable side effect profile, no significant decline in HRQoL, and the 3-year biochemical control […]
- Correction to: Exploring the value of using patient‑oriented MRI reports in clinical practice - a pilot study
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- It's Time for a Standardized MRI Assessment Scheme for Prostate Cancer Recurrence
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- Exploring the value of using patient-oriented MRI reports in clinical practice - a pilot study
CONCLUSION: With the addition of prostate MRI PACERR, participants had better understanding of their results and felt more prepared to involve […]
- Prostate biopsy in the era of MRI-targeting: towards a judicious use of additional systematic biopsy
CONCLUSION: Not all men benefit equally from the combination of SBx and MRI-TBx. SBx avoidance in men with PI-RADS 5 and/or previous negative biopsy […]
- Comparison of outcomes of different biopsy schedules among men on active surveillance for prostate cancer: An analysis of the G.A.P.3 global consortium database
CONCLUSION: Results suggest more frequent biopsy schedules may deter some men from continuing AS despite no evidence of grade progression.
- Synthetic correlated diffusion imaging hyperintensity delineates clinically significant prostate cancer
Prostate cancer (PCa) is the second most common cancer in men worldwide and the most frequently diagnosed cancer among men in more developed […]
- Evidence-based guideline recommendations on multiparametric magnetic resonance imaging in the diagnosis of clinically significant prostate cancer: A Cancer Care Ontario updated clinical practice guideline
INTRODUCTION: This clinical practice guideline is based on a systematic review to assess the use of multiparametric magnetic resonance imaging […]
- A protocol for the VISION study: An indiVidual patient data meta-analysis of randomised trials comparing MRI-targeted biopsy to standard transrectal ultraSound guided bIopsy in the detection of prOstate cancer
BACKGROUND: Transrectal ultrasound (TRUS) guided biopsy for prostate cancer is prone to random and systemic error and has been shown to have a […]
- Balancing the benefits and harms of MRI-directed biopsy pathways
• Before a prostate biopsy, the likely benefits and the harms emanating from true and false test MRI results need to be balanced. Prioritizing […]
- Prostate Cancer Patients Under Active Surveillance with a Suspicious Magnetic Resonance Imaging Finding Are at Increased Risk of Needing Treatment: Results of the Movember Foundation's Global Action Plan Prostate Cancer Active Surveillance (GAP3) Consortium
CONCLUSIONS: The risks of switching to treatment, histological progression, and AS discontinuation are higher in cases of suspicious MRI at inclusion.
- Comparison of Characteristics, Follow-up and Outcomes of Active Surveillance for Prostate Cancer According to Ethnicity in the GAP3 Global Consortium Database
CONCLUSIONS: This multinational study found differences in the risk of disease progression and transitioning to treatment without signs of […]
- A Modified AUC for Training Convolutional Neural Networks: Taking Confidence Into Account
Receiver operating characteristic (ROC) curve is an informative tool in binary classification and Area Under ROC Curve (AUC) is a popular metric for […]
- Artificial Intelligence for Automated Cancer Detection on Prostate MRI: Opportunities and Ongoing Challenges, From the AJR Special Series on AI Applications
Use of prostate MRI has increased greatly in the past decade, primarily in directing targeted prostate biopsy. However, prostate MRI interpretation […]
- Deep learning-based artificial intelligence applications in prostate MRI: brief summary
Prostate cancer (PCa) is the most common cancer type in males in the Western World. MRI has an established role in diagnosis of PCa through guiding […]
- Pre-operative radiomics model for prognostication in resectable pancreatic adenocarcinoma with external validation
CONCLUSION: A multi-institutional pre-operative clinical-radiomic model for resectable PDAC prognostication demonstrated superior net benefit […]
- Editorial Comment
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- Federated learning for predicting clinical outcomes in patients with COVID-19
Federated learning (FL) is a method used for training artificial intelligence models with data from multiple sources while maintaining data […]