Can You Reverse Heart Disease? What My Plaque Scans Showed | Dr Campbell Rogers
Episode
75 min
Read time
3 min
Topics
Relationships, Fundraising & VC, Design & UX
AI-Generated Summary
Key Takeaways
- ✓Calcium Score Zero ≠ No Disease: A coronary artery calcium score of zero reliably predicts low short-term cardiovascular risk but cannot rule out the presence of non-calcified plaque. Two conclusions must be separated: prognosis and disease presence. Patients with a zero score and high-risk profiles — strong family history, elevated ApoB, genetic predisposition — may still benefit from a full CT angiogram to detect soft, non-calcified plaque invisible to calcium scoring.
- ✓Plaque Percentile Over Absolute Volume: HeartFlow benchmarks individual plaque volume against a database of nearly 300,000 patients, stratified by age and sex. A raw number like 116 cubic millimeters means little in isolation; knowing it places a 38-year-old male in the 89th percentile for his demographic is clinically actionable. This age- and sex-adjusted percentile framing is the correct lens for interpreting personal plaque burden and deciding treatment aggressiveness.
- ✓Non-Calcified Plaque Drives Risk More Than Calcified Plaque: Current evidence, including the 2025 American College of Cardiology scientific statement, identifies total non-calcified plaque volume as the strongest imaging-based predictor of future heart attack risk. A subset called low-attenuation plaque carries additional risk signals, though the magnitude of that additional risk above overall non-calcified plaque remains under investigation. Tracking non-calcified volume over time is therefore the most clinically relevant serial measurement.
- ✓AI Plaque Analysis Validated Against Intravascular Ultrasound: HeartFlow's coronary plaque analysis has been prospectively validated against intravascular ultrasound — the invasive gold standard — at the individual lesion level, covering a range from small to large plaque volumes. The comparison was conducted in a fully blinded, prospective design and published in peer-reviewed literature. Serial scans separated by at least two years, performed on the same scanner with the same protocol, provide the most reliable change detection.
- ✓Plaque Regression Is Measurable and Clinically Meaningful: A 65-patient randomized trial published in JAMA Cardiology in early 2025 demonstrated that HeartFlow's plaque analysis detected statistically significant differences in plaque progression between two prostate cancer drug regimens within one year. This shows the tool is sensitive enough to detect treatment-driven plaque changes in small cohorts, supporting its use as a surrogate endpoint in cardiovascular drug trials and as a guide for individual lipid-lowering therapy decisions.
What It Covers
Interventional cardiologist Campbell Rogers explains how HeartFlow's AI analysis of coronary CT angiograms can quantify plaque volume and composition with far greater precision than standard calcium scoring or traditional CT reads. The episode uses host Simon Hill's two personal scans, taken 16 months apart, to demonstrate how this technology can detect early disease and track treatment response.
Key Questions Answered
- •Calcium Score Zero ≠ No Disease: A coronary artery calcium score of zero reliably predicts low short-term cardiovascular risk but cannot rule out the presence of non-calcified plaque. Two conclusions must be separated: prognosis and disease presence. Patients with a zero score and high-risk profiles — strong family history, elevated ApoB, genetic predisposition — may still benefit from a full CT angiogram to detect soft, non-calcified plaque invisible to calcium scoring.
- •Plaque Percentile Over Absolute Volume: HeartFlow benchmarks individual plaque volume against a database of nearly 300,000 patients, stratified by age and sex. A raw number like 116 cubic millimeters means little in isolation; knowing it places a 38-year-old male in the 89th percentile for his demographic is clinically actionable. This age- and sex-adjusted percentile framing is the correct lens for interpreting personal plaque burden and deciding treatment aggressiveness.
- •Non-Calcified Plaque Drives Risk More Than Calcified Plaque: Current evidence, including the 2025 American College of Cardiology scientific statement, identifies total non-calcified plaque volume as the strongest imaging-based predictor of future heart attack risk. A subset called low-attenuation plaque carries additional risk signals, though the magnitude of that additional risk above overall non-calcified plaque remains under investigation. Tracking non-calcified volume over time is therefore the most clinically relevant serial measurement.
- •AI Plaque Analysis Validated Against Intravascular Ultrasound: HeartFlow's coronary plaque analysis has been prospectively validated against intravascular ultrasound — the invasive gold standard — at the individual lesion level, covering a range from small to large plaque volumes. The comparison was conducted in a fully blinded, prospective design and published in peer-reviewed literature. Serial scans separated by at least two years, performed on the same scanner with the same protocol, provide the most reliable change detection.
- •Plaque Regression Is Measurable and Clinically Meaningful: A 65-patient randomized trial published in JAMA Cardiology in early 2025 demonstrated that HeartFlow's plaque analysis detected statistically significant differences in plaque progression between two prostate cancer drug regimens within one year. This shows the tool is sensitive enough to detect treatment-driven plaque changes in small cohorts, supporting its use as a surrogate endpoint in cardiovascular drug trials and as a guide for individual lipid-lowering therapy decisions.
- •Who Should Consider a CT Angiogram Plus AI Analysis: Three groups warrant the most serious consideration: patients with chest pain or exertional symptoms (guideline class 1A); asymptomatic individuals with a calcium score between 1 and roughly 300, where treatment intensity is ambiguous; and high-risk asymptomatic individuals — pilots, first responders, those with strong family history or persistently elevated ApoB despite lifestyle optimization. Currently, insurance does not cover this for asymptomatic patients, making it an out-of-pocket decision.
Notable Moment
When reviewing the host's follow-up scan, Rogers notes that a plaque deposit visible in the left main artery on the 2024 baseline scan had completely disappeared by 2026, and the left anterior descending plaque volume had dropped by roughly 40%. Rogers emphasizes that without these tools, such regression would have been entirely undetectable.
Episode Transcript
For decades, cardiology has been really good at treating the numbers that predict heart disease, cholesterol, blood pressure, a risk score on a chart, but those are just estimates of risk across a population. They don't necessarily tell you where the disease is actually forming in your arteries right now. Two people with identical numbers can have wildly different amounts of plaque. A growing movement argues that we should stop treating these statistics and start looking directly at the arteries themselves, finding plaque early while it's still soft and small and treating it long before it ever becomes a heart attack or a stroke. That shift in mindset could change how any of us monitor our own risk. Can we now accurately see disease and measure its progress years before it would ever cause symptoms? Can that picture actually guide better decisions? What to treat, how aggressively, and when? And how much can we trust the technology that produces it? My guest today has lived on both sides of this. Doctor. Campbell Rogers is an interventional cardiologist who ran the cardiac catheterization lab at Brigham and Women's, taught at Harvard, and led cardiovascular R and D in the device world, before becoming the chief medical officer at HeartFlow, a company using AI to measure plaque from an ordinary CT scan. To put this technology to the test, I did something personal. I had Halflow analyze my own arteries scanned twice, sixteen months apart. In this episode, you'll hear how Campbell reads my results, but more importantly, what this technology means for anyone trying to understand their own heart health and where the evidence is genuinely strong versus where we may be getting ahead of it. With that, please enjoy my conversation with Doctor. Campbell Rogers. You trained as an interventional cardiologist. I believe you ran the the cath lab at Brigham and and women's, and you taught at Harvard and the Harvard MIT sciences program. How did you first get pulled toward the cardiovascular system and then towards coronary artery disease? Oh, that's a good question. Going way back in time, I think in medicine people are drawn to things they have personal experience with and a family member, etcetera, often. And they're drawn to things in which they see mentors. And where I trained at Brigham and Women's, there was just an incredible tradition of cardiological care, cardiology care, academic work, really in a world leading way. And those were the people I saw and learned from. So I was drawn to it. You see great people doing amazing things and you kinda wanna emulate them. And then at what particular point would you say in your career you became specifically interested in coronary artery disease and atherosclerosis? Yeah, very early on, I think there were two things in my experience that led me to it. One was in my early training, even as an intern fresh out of medical school in the late 1980s, I trained at the …
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“Interventional cardiologist Campbell Rogers explains how HeartFlow's AI analysis of coronary CT angiograms can quantify plaque volume and composition with far greater precision than standard calcium scoring or traditional CT reads.”
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