Michael T. Lu

ORCID: 0000-0003-4696-9610
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About
Contact & Profiles
Research Areas
  • Cardiac Imaging and Diagnostics
  • HIV-related health complications and treatments
  • Cardiovascular Disease and Adiposity
  • Cardiovascular Function and Risk Factors
  • Advanced X-ray and CT Imaging
  • Coronary Interventions and Diagnostics
  • Lipoproteins and Cardiovascular Health
  • Radiation Dose and Imaging
  • Acute Myocardial Infarction Research
  • Radiomics and Machine Learning in Medical Imaging
  • Liver Disease Diagnosis and Treatment
  • Lung Cancer Diagnosis and Treatment
  • Advanced MRI Techniques and Applications
  • Venous Thromboembolism Diagnosis and Management
  • Ultrasound in Clinical Applications
  • Cerebrovascular and Carotid Artery Diseases
  • COVID-19 diagnosis using AI
  • Systemic Lupus Erythematosus Research
  • Cardiac Valve Diseases and Treatments
  • Cardiovascular Health and Risk Factors
  • Radiology practices and education
  • HIV/AIDS drug development and treatment
  • Artificial Intelligence in Healthcare and Education
  • Atherosclerosis and Cardiovascular Diseases
  • Cardiovascular Health and Disease Prevention

Massachusetts General Hospital
2016-2025

Harvard University
2016-2025

Mass General Brigham
2023-2025

University of Applied Sciences Stralsund
2017-2025

University Hospital Cologne
2025

Artificial Intelligence in Medicine (Canada)
2025

Newton Wellesley Hospital
2024

Winchester Hospital
2024

Gordon Center for Medical Imaging
2020-2024

Phillips Exeter Academy
2024

Coronary computed tomographic angiography (coronary CTA) can characterize coronary artery disease, including high-risk plaque. A noninvasive method of identifying plaque before major adverse cardiovascular events (MACE) could provide practice-changing optimizations in disease care.To determine whether detected by CTA was associated with incident MACE independently significant stenosis (SS) and risk factors.This prespecified nested observational cohort study part the Prospective Multicenter...

10.1001/jamacardio.2017.4973 article EN JAMA Cardiology 2018-01-11

Background: Millions of individuals have used illicit anabolic-androgenic steroids (AAS), but the long-term cardiovascular associations these drugs remain incompletely understood. Methods: Using a cross-sectional cohort design, we recruited 140 experienced male weightlifters 34 to 54 years age, comprising 86 men reporting ≥2 cumulative lifetime AAS use and nonusing men. transthoracic echocardiography coronary computed tomography angiography, assessed 3 primary outcome measures: left...

10.1161/circulationaha.116.026945 article EN Circulation 2017-05-22

Background: Coronary artery calcium (CAC) is an established predictor of future major adverse atherosclerotic cardiovascular events in asymptomatic individuals. However, limited data exist as to how CAC compares with functional testing (FT) estimating prognosis symptomatic patients. Methods: In the PROMISE trial (Prospective Multicenter Imaging Study for Evaluation Chest Pain), patients stable chest pain (or dyspnea) and intermediate pretest probability obstructive coronary disease were...

10.1161/circulationaha.117.030578 article EN Circulation 2017-08-29

Abstract Coronary artery calcium is an accurate predictor of cardiovascular events. While it visible on all computed tomography (CT) scans the chest, this information not routinely quantified as requires expertise, time, and specialized equipment. Here, we show a robust time-efficient deep learning system to automatically quantify coronary routine cardiac-gated non-gated CT. As evaluate in 20,084 individuals from distinct asymptomatic (Framingham Heart Study, NLST) stable acute chest pain...

10.1038/s41467-021-20966-2 article EN cc-by Nature Communications 2021-01-29

Guidelines for primary prevention of atherosclerotic cardiovascular disease (ASCVD) recommend a risk calculator (ASCVD score) to estimate 10-year major adverse events (MACE). Because the necessary inputs are often missing, complementary approaches opportunistic assessment desirable.

10.7326/m23-1898 article EN Annals of Internal Medicine 2024-03-25

Abstract Background and Aims Skeletal muscle (SM) fat infiltration, or intermuscular adipose tissue (IMAT), reflects quality is associated with inflammation, a key determinant in cardiometabolic disease. Coronary flow reserve (CFR), marker of coronary microvascular dysfunction (CMD), independently body mass index (BMI), inflammation risk heart failure, myocardial infarction, death. The relationship between SM quality, CMD, cardiovascular outcomes not known. Methods Consecutive patients (n =...

10.1093/eurheartj/ehae827 article EN other-oa European Heart Journal 2025-01-20

To determine the association between nonalcoholic fatty liver disease (NAFLD) and presence of high-risk coronary atherosclerotic plaque as assessed with computed tomographic (CT) angiography.This study was approved by local ethics committees; informed consent obtained. Patients randomized to CT angiography arm Rule Out Myocardial Infarction using Computer Assisted Tomography, or ROMICAT, II trial who underwent both nonenhanced assess calcium score contrast material-enhanced were included....

10.1148/radiol.14140933 article EN Radiology 2014-11-04

To update pretest probabilities (PTP) for obstructive coronary artery disease (CAD ≥ 50%) across age, sex, and clinical symptom strata, using computed tomography angiography (CTA) in a large contemporary population of patients with stable chest pain referred to non-invasive testing. We included enrolled the Prospective Multicenter Imaging Study Evaluation Chest Pain (PROMISE) trial randomized CTA. Exclusively level III-certified readers, blinded demographic data, assessed prevalence CAD 50%...

10.1093/ehjci/jey182 article EN European Heart Journal - Cardiovascular Imaging 2018-11-01

Chest radiography is the most common diagnostic imaging test in medicine and may also provide information about longevity prognosis.

10.1001/jamanetworkopen.2019.7416 article EN cc-by-nc-nd JAMA Network Open 2019-07-19

Background Visual and histogram-based assessments of coronary CT angiography have limited accuracy in the identification advanced lesions. Radiomics-based machine learning (ML) could provide a more accurate tool. Purpose To compare diagnostic performance radiomics-based ML with that visual assessment ex vivo cross sections to identify atherosclerotic lesions defined histologic examination. Materials Methods In this prospective study, 21 arteries from seven hearts obtained male donors (mean...

10.1148/radiol.2019190407 article EN Radiology 2019-08-06

Lung cancer screening with chest computed tomography (CT) reduces lung death. Centers for Medicare & Medicaid Services (CMS) eligibility criteria CT require detailed smoking information and miss many incident cancers. An automated deep-learning approach based on radiograph images may identify more smokers at high risk who could benefit from CT.To develop validate a convolutional neural network (CXR-LC) that predicts long-term using data commonly available in the electronic medical record...

10.7326/m20-1868 article EN Annals of Internal Medicine 2020-08-31

Cardiovascular disease (CVD) is increased among people with HIV (PWH), but little known regarding the prevalence and extent of coronary artery (CAD) associated biological factors in PWH low to moderate traditional CVD risk.To determine unique assess CAD by computed tomography angiography (CTA) critical pathways arterial inflammation immune activation.This cohort study male female PWH, aged 40 75 years, without CVD, receiving stable antiretroviral therapy, atherosclerotic cardiovascular...

10.1001/jamanetworkopen.2021.14923 article EN cc-by-nc-nd JAMA Network Open 2021-06-29

Existing approaches for embedding unobtrusive tags inside 3D objects require either complex fabrication or high-cost imaging equipment. We present InfraredTags, which are 2D markers and barcodes imperceptible to the naked eye that can be printed as part of objects, detected rapidly by low-cost near-infrared cameras. achieve this printing from an infrared-transmitting filament, infrared cameras see through, having air gaps tag's bits, appear at a different intensity in image. built user...

10.1145/3491102.3501951 article EN CHI Conference on Human Factors in Computing Systems 2022-04-28

On serial lung cancer screening CT scans in individuals at high risk of developing cancer, atypical epicardial adipose tissue volume change was associated with all-cause mortality, while decrease and density increase were elevated cardiovascular mortality.

10.1148/radiol.240473 article EN Radiology 2025-02-01
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