
MGH Cardiovascular Imaging Research Center
@circ_mgh
ID: 1229878197610631168
https://www.massgeneral.org/imaging/research/cardiovascular-imaging-research-center 18-02-2020 21:21:28
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Delighted to collaborate on this excellent work led by J. Weiss Vineet Raghu Kaavya Paruchuri Michael Lu Mass General Heart using deep learning of widely used chest X-rays to augment current paradigms for statin allocation in primary prevention acpjournals.org/doi/10.7326/M2… Annals of Int Med


1/7 🔍 Selective Use (a 🧵): Our latest study, published in Radiology: Cardiothoracic Imaging, evaluated the selective addition of CT Fractional Flow Reserve (CT-FFR) to Coronary CT Angiography (CTA) to identify patients who might benefit from further evaluation/revascularization.


Radiology: Cardiothoracic Imaging Angelo Takigami Praveen Ranganath, MD Reece J. Goiffon, MD, PhD Vinit Baliyan BorekFoldyna @NinaMeyersohn Sandeep Hedgire Brian with the Good Dictations MGH Cardiovascular Imaging Research Center Mass General Imaging 2/7 📊 We analyzed 2,985 elective & acute patients who underwent CTA during the initiation of CT-FFR to our multisite academic clinical service. 292 analyses were requested, at CTA readers’ discretion, based on a perceived benefit (i.e., a potential change in management)


Radiology: Cardiothoracic Imaging Angelo Takigami Praveen Ranganath, MD Reece J. Goiffon, MD, PhD Vinit Baliyan BorekFoldyna @NinaMeyersohn Sandeep Hedgire Brian with the Good Dictations MGH Cardiovascular Imaging Research Center Mass General Imaging 3/7💡Why Selective Use? Not all patients warrant CT-FFR analysis, which comes at a significant added cost; our service thus opted to utilize it selectively. We most commonly requested for those with potential but not definite anatomically significant stenoses (CAD-RADS ≥3).

Radiology: Cardiothoracic Imaging Angelo Takigami Praveen Ranganath, MD Reece J. Goiffon, MD, PhD Vinit Baliyan BorekFoldyna @NinaMeyersohn Sandeep Hedgire Brian with the Good Dictations MGH Cardiovascular Imaging Research Center Mass General Imaging 4/7📈CAD-RADS Scores: Referrals for CT-FFR analysis were predominantly among patients with CAD-RADS scores of 3 (moderate stenosis), accounting for 73.6% of referrals.


Radiology: Cardiothoracic Imaging Angelo Takigami Praveen Ranganath, MD Reece J. Goiffon, MD, PhD Vinit Baliyan BorekFoldyna @NinaMeyersohn Sandeep Hedgire Brian with the Good Dictations MGH Cardiovascular Imaging Research Center Mass General Imaging 5/7🚨Benefits: The adoption of CT-FFR was associated with ⬇️ in invasive procedures—with invasive coronary angiography (ICA) and percutaneous coronary intervention (PCI) rates dropping to 25.5% and 21.1%, compared with 74.5% and 78.9%, respectively, in those without CT-FFR.

Radiology: Cardiothoracic Imaging Angelo Takigami Praveen Ranganath, MD Reece J. Goiffon, MD, PhD Vinit Baliyan BorekFoldyna @NinaMeyersohn Sandeep Hedgire Brian with the Good Dictations MGH Cardiovascular Imaging Research Center Mass General Imaging 6/7 ❤️ A Novel Twist: Our dual-source CTA scans were all successfully conducted without HR control, ensuring quality images across all HRs with a very low rejection rate. We do this carefully; all exams are monitored and nitroglycerin prep is used unless contraindicated.

Radiology: Cardiothoracic Imaging Angelo Takigami Praveen Ranganath, MD Reece J. Goiffon, MD, PhD Vinit Baliyan BorekFoldyna @NinaMeyersohn Sandeep Hedgire Brian with the Good Dictations MGH Cardiovascular Imaging Research Center Mass General Imaging 7/7🏥 Why It Matters: CTA is a mainstay in CAD due to its high NPV, and the addition of CT-FFR to enhance PPV proves most valuable when it might alter management. Our “selective use” strategy, awaiting CTA interpretation to decide on CT-FFR, confirms its efficacy in our practice


Amazing grand rounds today by one and only Dr Andrew D. Choi AI in CCTA Brian with the Good Dictations Sandeep Hedgire @NinaMeyersohn MGH Radiology Chiefs Ron Blankstein Cian McCarthy Vinit Baliyan MGH Cardiovascular Imaging Research Center BorekFoldyna Giselle A. Suero Abreu, MD PhD Mass General Heart MGH Cardiology Fellows Heart_SCCT


Congratulations to Ahmed Tawakol @circ_mgh Mass General Heart and zahifayad on the new PubMed publication of the exciting study: "Effect of Stress-Related Neural Pathways on the Cardiovascular Benefit of Physical Activity." Read the full article here: pubmed.ncbi.nlm.nih.gov/38631773/

10-year ASCVD risk prediction leads to older individuals being prioritized for statins missing opportunities for earlier risk recognition & prevention. Our work led by Sarah Urbut uses genetics & dynamic risk factor trajectories toward intersecting risk *early.*


In this paper on stress & CVD, we find a novel association between disruptions in the uncinate fasciculus and carotid atherosclerotic burden. Grateful to Ahmed Tawakol zahifayad for this opportunity and to Dave Mandy van Leent for all the help! academic.oup.com/eurheartj/arti…

Congrats @MarsKhalil212 & Hui Chong Lau your work on Imaging in the heart-brain axis 🧠🌟📸 Read more here: doi.org/10.1016/j.nucl… MassGeneral News Mass General Heart @MGH_RI Mass General Imaging MGH Cardiology Fellows

We had the pleasure to present our findings on the impact of air pollution in different risk groups, an analysis led by Isabel Langenbach. The results might affect management of patients at higher CV risk. Thanks to Ritu Thamman MD for a great discussion. #SCCT2024 MGH Cardiovascular Imaging Research Center Heart_SCCT


Excited to start my new role as a Postdoctoral Research Fellow at the Cardiovascular Imaging Research Center of the Department of Radiology at Massachusetts General Hospital Mass General Brigham / Harvard Medical School MGH Cardiovascular Imaging Research Center Harvard Medical School. Looking forward to contributing to


Research Fellow Jan M. Brendel presenting "Sex-Specific Prognostic Value Of Qauntiftying Coronary Plaque In Patients With Stable Chest Pain" at the MGB 2025 Celebration of Science Poster Session.



Thrilled to share that Brian Ghoshhajra and Sara Ersozlu took first place in the CT Jeopardy competition Heart_SCCT, representing #CIRC with a top score of 9,999 points. #9999
