Author Interviews, Brigham & Women's - Harvard, Heart Disease, Nature / 04.02.2021

MedicalResearch.com Interview with: Dr. Hugo Aerts, PhD Dana-Farber Cancer Institute Associate Professor, Brigham and Women's Hospital Harvard Medical School Director, Program for Artificial Intelligence in Medicine Brigham And Women's Hospital  MedicalResearch.com: Deep convolutional neural networks to predict cardiovascular risk from computed tomography  Response: Cardiovascular disease is the most common preventable cause of death in Europe and the United States. Effective lifestyle and pharmacological prevention is available, but identifying those who would benefit most remains an ongoing challenge. Hence, efforts are needed to further improve cardiovascular risk prediction and stratification on an individual basis. One of the strongest known predictors for adverse cardiovascular events is coronary artery calcification, which can be quantified on computed tomography (CT). The CT coronary calcium score is a measure of the burden of coronary atherosclerosis and is one of the most widely accepted measures of cardiovascular risk. Recent strides in artificial intelligence, deep learning in particular, have shown its viability in several medical applications such as medical diagnostic and imaging, risk management, or virtual assistants. A major advantage is that deep learning can automate complex assessments that previously could only be done by radiologists, but now is feasible at scale with a higher speed and lower cost. This makes deep learning a promising technology for automating cardiovascular event prediction from imaging. However, before clinical introduction can be considered, generalizability of these systems needs to be demonstrated as they need to be able to predict cardiovascular events of asymptomatic and symptomatic individuals across multiple clinical scenarios, and work robustly on data from multiple institutions. (more…)
Author Interviews, CT Scanning, Heart Disease, Technology / 23.01.2018

MedicalResearch.com Interview with: Cardiologist Mark Rabbat, MD, FSCCT Who pioneered the use of FFRct at Loyola Medicine and was first author of an international expert panel of leading cardiologists and radiologists from centers in the United States, Canada, Denmark, Italy, Belgium and the Netherlands on how to interpret and report the tests published in the Journal of Cardiovascular Computed Tomography.   MedicalResearch.com: What is the scope of the problem? Response: Coronary artery disease is a very large healthcare burden. Over sixteen million individuals in the United States have coronary artery disease.  Coronary artery disease may result in your heart not getting enough blood and increases your risk of a heart attack. Historically, we have been faced with either using tests we knew were not always accurate or putting a patient through an invasive angiogram just to determine whether they would need another invasive procedure to restore blood flow.  The CT-derived fractional flow reserve (FFRct) analysis is the first technology that bridges the gap between the non-invasive and invasive tests within one platform.  Any patient with symptoms such as chest pain, chest tightness, fatigue, or shortness of breath without known coronary artery disease may be a candidate for the FFRct study.  (more…)
Author Interviews, Brigham & Women's - Harvard, CT Scanning, JAMA, Stroke / 21.06.2016

MedicalResearch.com Interview with: Dr. Gregoire Boulouis MD MS Research Fellow at Massachusetts General Hospital / Harvard Med. School Boston, Massachusetts MedicalResearch.com: What is the background for this study? What are the main findings? Dr. Boulouis: Hemorrhagic Stroke or Intracerebral hemorrhage (ICH) still has a poor prognosis. A substantial proportion of patients will experience ongoing intracranial bleeding and their hematomas will grow in size in the first hours following presentation, a phenomenon called 'hemorrhage epxansion'. Patients with hemorrhage expansion have been shown to have significantly worse clinical outcome. If all baseline ICH characteristics (location, initial hemorrhage volume, ..) are non modifiable at the time of diagnosis, hemorrhage expansion, however, represents one of the few potential targets to improve outcome in ICH patients. An accurate selection of patients at high risk of expansion is needed to optimize patients' selection in expansion targetted trials and, eventually, to help stratifying the level of care at the acute phase. In this study, we investigated whether the presence of non-contrast Computed Tomography hypodensities within the baseline hematoma, a very easily and reliably assessed imaging marker, was associated with more hemorrhage expansion. A total of 1029 acute phase ICH patients were included ; approximately a third of them demonstrated CT hypodensities at baseline. In this population, CT hypodensities were independently associated with hemorrhage expansion with an odds ratio of 3.42 (95% CI 2.21-5.31) for expansion in fully adjusted multivariable model. (more…)
AHA Journals, Author Interviews, CT Scanning, Diabetes, Heart Disease / 17.06.2016

MedicalResearch.com Interview with: Prof. David A. Halon MB ChB, FACC, FESC Associate Professor of Clinical Medicine Technion, Israel Institute of Technology. Director, Interventional Cardiology Lady Davis Carmel Medical Center Haifa, Israel MedicalResearch.com: What is the background for this study? Prof. Halon: Type 2 diabetics are well known to have more cardiovascular events than non-diabetics but even among diabetics this risk is heterogeneous and some remain at very low risk. It remains uncertain if additional diagnostic modalities over and above clinical risk scores may be helpful in defining which diabetics are at high risk for an adverse event. We performed a study using cardiac CT angiography (CCTA) in 630 type 2 diabetics 55-74 years of age with no history of coronary artery disease to examine if CTA findings would have additional prognostic value over traditional risk scores for cardiovascular or microvascular based events over 7.5 years of follow-up. (more…)
Author Interviews, CT Scanning, JAMA, Lung Cancer, NIH / 16.05.2016

MedicalResearch.com Interview with: Hormuzd A. Katki, PhD Division of Cancer Epidemiology and Genetics National Cancer Institute National Institutes of Health Department of Health and Human Services, Bethesda, Maryland MedicalResearch.com: What is the background for this study? What are the main findings? Dr. Katki: The National Lung Screening Trial (NLST) showed that 3 annual CT screens reduced lung cancer death by 20% in a subgroup of high-risk smokers.  However, selecting smokers for screening based on their individual lung cancer risk might improve the effectiveness and efficiency of screening.  We developed and validated new lung cancer risk tools, and used them to project the potential impact of different selection strategies for CT lung cancer screening. We found that risk-based selection might substantially increase the number of prevented lung cancer deaths versus current subgroup-based guidelines.  Risk-based screening might also improve the effectiveness of screening, as measured by reducing the number needed to screening to prevent 1 death.  Risk-based screening might also improve the efficiency of screening, as measured by reducing the number of false-positive CT screens per prevented death. (more…)
Author Interviews, Cancer Research, Lancet / 17.09.2014

Judith Trotman MBChB, FRACP, FRCPA Associate Professor Concord Hospital University of Sydney, AustraliaMedicalResearch.com Interview with: Judith Trotman MBChB, FRACP, FRCPA Associate Professor Concord Hospital University of Sydney, Australia Medical Research: What are the main findings of the study? Dr. Trotman: That PET-CT (applying the cut-off of ≥4 on the now internationally recommended 5 Point Scale) is a more powerful predictor of both Progression Free and Overall Survival than conventional CT in patients responding to first line immunochemotherapy for advanced follicular lymphoma.  It is also a much stronger predictor than the pre-treatment prognostic indices FLIPI and FLIP2. Patients who achieve PET-negative status have a median PFS over 6 years compared to only 17 months in those who remain PET-positive. (more…)