How Can We Advance Equitable Access to Precision Medicine in Lung Cancer Care?

How Can We Advance Equitable Access to Precision Medicine in Lung Cancer Care? from Patient Empowerment Network on Vimeo.

With non-small cell lung cancer (NSCLC) precision medicine, what are disparities and strategies to equitable access? Expert Dr. Samuel Cykert from UNC School of Medicine discusses disparities, strategies to overcome disparities, and proactive patient advice toward optimal care.

[ACT]IVATION TIP

“…I know you do electronic health records, and as soon as this visit is done, you have data about my visit, so have you thought about creating a real-time registry to see how I’m progressing with my care and see how others are progressing with their care, whether to make sure that we don’t have missed appointments and to make sure that I’m not falling behind where I should be.”

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Enhancing Lung Cancer Care for Black and Latinx Patients | Tackling Challenges, Implementing Solutions

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Improving Biomarker Testing Access for Rural Lung Cancer Patients

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Empowering Lung Cancer Patients | Embracing Hope, Treatment, and Teamwork

Transcript:

Lisa Hatfield:

Dr. Cykert, are there any disparities in access to biomarker testing for Black and Latinx patients with lung cancer compared to other racial or ethnic groups, and if so, what strategies or initiatives can be implemented to address these disparities and promote equitable access to precision medicine?

Dr. Samuel Cykert:

Yeah, biomarker testing followed up by precision medicine is really fairly new in the last half-dozen years, so there haven’t been a lot of studies done looking at how well we’re doing in different groups, but there’s a journal called The Journal of Clinical Oncology and precision medicine that published such a study in 2022.

And what that showed…and again, keep in mind that in a lot of…as they do in a lot of database studies, they are a couple of years behind, but what they showed in looking at the cases of over 20,000 patients, is that on first time testing, we talked about initial biopsies, when the initial biopsy is tested, there is actually about a 7 percent difference between Black and white patients with the white number being only 37 percent and the Black number being 30 percent, so that was low all the way around.

And then if you look at any biomolecular testing at any stage of the cancer, those numbers change to around 55 percent for white patients and 44 percent for Black patients, and I want to point out that for Asian patients and Latinx patients, the numbers were also low, but there weren’t enough patients in the database to achieve statistical significance, but it looks like things are going in the wrong direction there too, and when you think about it, in the state of the right now, those numbers ought to be close to 100 percent for everybody, at least in some of the basic markers like ALK and EGFR and PD-L1.

So there’s a lot of work to do. So there is a disparity. It has been documented, but we’re not getting perfect care to even anyone, and in the ACCURE (Accountability for Cancer Care through Undoing Racism and Equity) Study that I had described a little bit earlier, where we did an intervention, we created real-time transparency through up-to-date electronic health records and digital data of where patients were in their care, we were able to create a real-time registry to know what had been done for every patient, and in the case of precision medicine, this would be so easy, because you basically put every patient that’s had a lung cancer biopsy in the registry, then you have another column in the registry tested for X, tested for Y, tested for Z, and then you have a next column that says, treated for X, treated for Y, and treated for Z. We have the digital information now to do all this in real time, and we have to build the systems to do it.

Lisa Hatfield:

Could you share any examples of successful initiatives or programs aimed at improving the implementation of biomarker testing in lung cancer and what factors contribute to the success of these initiatives, and how can they be replicated or scaled in other healthcare settings?

Dr. Samuel Cykert:

I’ll have to plead my ignorance on this question because I haven’t talked to enough cancer centers on whether or not they’re creating real-time registries for whether all their patients with probable lung cancer are, [a] getting biopsied promptly, [b] getting biomarker testing, and then following those patients over time to see if they’re getting the treatments to match to that, so I know that at my own institution at the University of North Carolina Lineberger Cancer Center, we’re actively talking about building these systems, but we haven’t built them yet.

And so going back to the work that our UNC team has done in partnership with Greensboro Health Disparities Collaborative, we’ve done an intervention with real-time transparency in lung cancer treatment and breast cancer treatment, and real-time quality improvement and audit and feedback for accountability in those treatments and using navigation, particularly for high risk patients to make sure that they’re able to follow through with their diagnosis and treatment.

So with that combination in lung cancer, we got almost perfect care, 96 percent and 95 percent completing treatment, so there’s no reason that the same system cannot be applied to biomarker testing and biologic and immunotherapy, and we need to look at it and implement it and apply it as soon as possible, because when you think about all this, and I’m not just talking about cancer, but when you’re thinking about the whole picture, when you look at, for instance, Black, white disparities, whether it’s in cardiovascular care, whether it’s in diabetes, whether it’s in cancer care, if you look at the result of that in one year, if we brought up care to benchmark levels of the Black community on all those things, we would save 74,000 lives a year.

That’s incredibly impactful. And we need to quicken up the pace of doing this. I’ve been a disparities researcher and intervention researcher for over 20 years, and people really haven’t taken note of really doing interventions until the last five or six years. We need to pay attention, we need to move. It’s important. People’s lives depend on it. And care improved for everyone with these systems, it improved for white patients too. It’s not a zero-sum game.

Lisa Hatfield:

I’m wondering, as a patient, is there anything that I can do or that a patient can do to request or to ask if they use real-time data, that institution to help with the treatment or help with testing or whatever, is there a question the patient might be able to ask to ensure the real-time data is used? Because I imagine it’s not being used as often, so it could be, like you said, there probably isn’t a system in place.

Dr. Samuel Cykert:

Here’s my double activation tip. So at an institution, you don’t know if you have a problem until you look. So the first problem is, as I go back and look behind, am I making sure whether or not I’m seeing disparities, whether it’s a man, woman, Black, white, Latinx, do we have disparities in our treatment application and treatment outcomes in our institution? Because if we look at that, we can start brainstorming on how to possibly fix it, and then the second thing is, I know you do electronic health records, and as soon as this visit is done, you have data about my visit, so have you thought about creating a real-time registry to see how I’m progressing with my care and see how others are progressing with their care, whether to make sure that we don’t have missed appointments and to make sure that I’m not falling behind where I should be.

Lisa Hatfield:

Great, that’s perfect, thank you. Having the patients be…have that accountability too, to ask the question, if that exists, that real-time data, if there’s a way to use that. So thank you, I appreciate that myself personally, so thanks. 


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What Urgent Innovations Can Advance Lung Cancer Precision Medicine?

What Urgent Innovations Can Advance Lung Cancer Precision Medicine? from Patient Empowerment Network on Vimeo.

How can non-small cell lung cancer (NSCLC) precision medicine be advanced through urgent innovations? Expert Dr. Samuel Cykert from UNC School of Medicine discusses technology and research innovations and epigenetics.

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Transcript:

Lisa Hatfield:

In your opinion, what are the most pressing research priorities or areas of innovation needed to further advance the implementation of biomarker testing and precision medicine in the management of lung cancer?

Dr. Samuel Cykert:

Yeah, there are two areas of this, the health services researcher side of me says institutions have to implement systems that follow patients in real time to making sure that they’re getting the testing and treatment that they need from the initial suspicion of lung cancer all the way to biomarker testing and therapies, whether they include surgery, chemo, radiation, biologics or immunotherapy. Those systems need to be areas of priority so that we’re really proactive of not only following patients, but from time to time, whether there are side effects or whether there is confusion, having those systems so we know when to re-engage patients when they’re not progressing along, so on the health services side, we have a lot of just phenomenal, phenomenal new treatments, and we have to make sure that every patient who is eligible is getting those treatments. Okay?

Now, on the other side of things, we’ve talked about racial disparities and other ethnic disparities in care, and one thing that people are observing over time is that in individuals and communities where racism is experienced, where the stress of racism is felt on a frequent basis, we know that outcomes are worse. And part of that may have to do with stress hormones themselves and how stress hormones interact with cancer treatments and hypertension treatment and other treatments, but the other possibility is there is a field called epigenetics, where genes change because of stressors.

And so it’s very conceivable now, in terms of the Human Genome Project, there is hardly a difference in the genome between white and Black people. Genetic race is a social construct, and genetically we’re almost identical, but if we’re experiencing epigenetics, if we are experiencing racism and that grind in daily life, it changes things within us, and so I think it’s important to get enough tissue on the research side from Black patients and other disadvantaged groups to look at the epigenetic part of it, because there may be new genes and new biomarkers we’re not experiencing now that are more prevalent in disadvantaged peoples, and so I think research has to go in that direction too, and even let’s talk about going upstream, maybe if we can prevent the effects of racism. I wish racism would end tomorrow, right, or today, but it doesn’t look like that’s happening. And so, is there any way we can attenuate the stresses of racism so that the downstream effects are prevented?

Lisa Hatfield:

Really interesting point you make about the stress of that. That’s super important. It’s something I hadn’t thought of. So thanks for mentioning that too. 


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Improving Biomarker Testing Access for Rural Lung Cancer Patients

Improving Biomarker Testing Access for Rural Lung Cancer Patients from Patient Empowerment Network on Vimeo.

What are the barriers for rural patients hoping to access biomarker tests? Dr. Samuel Cykert discusses the barriers for underrepresented lung cancer patients in rural areas face in accessing biomarker testing, citing issues like health insurance, economics, and language.

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Transcript:

Lisa Hatfield:

Dr. Cykert, one of the main barriers preventing Black and Latinx patients with lung cancer in rural areas from accessing biomarker testing, and what steps can be taken to address these barriers, including improving awareness, affordability, and availability of testing facilities?

Dr. Samuel Cykert:

Yeah, great, great question. There are several issues here. One is the issue of rural, and the other issue is patients of color who may have barriers of health insurance, barriers of economics, barriers of education, and especially in the case of Latinx folks, barriers of language. So it really is a multiple question, but one thing for sure is we know from past studies that technology diffusion is slow and tends to get out to rural areas later than other areas, and the other problem is treatment volume in rural areas.

So a lot of rural hospitals don’t do bio specimen testing, don’t have the capability of doing that, and so you have this kind of double whammy of low volume testing plus low volume treatment, it’s well-known that surgeons who do more operations, for instance, do better. So given all those factors, I would recommend that rural patients who have presumptive diagnosis of lung cancer, even a suspicion of lung cancer, for instance, a large mass, a greater than 2 centimeter mass on an x-ray or a CT scan, that those patients ask to be referred to the closest high volume center.

I think that’s an important step, and we also have to have close interactions with our rural colleagues so that they’re comfortable of treating aggressively things that are well-treatable in the rural environment and going on to the high-volume centers, the more specialized centers, when things have to be done more aggressively.

When you look at a lot of different healthcare disparities, especially in advanced diseases, a lot of them come from being in areas where technology diffusion hasn’t happened and people don’t have access to the same treatments that they do at higher volume centers.  My activation tip here is, for things like biomarker testing and advanced treatments, you need to go to the closest high volume center.


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Enhancing Lung Cancer Care for Black and Latinx Patients | Tackling Challenges, Implementing Solutions

Enhancing Lung Cancer Care for Black and Latinx Patients | Tackling Challenges, Implementing Solutions from Patient Empowerment Network on Vimeo.

What are challenges and solutions to quality care for Black and Latinx non-small cell lung cancer (NSCLC) patients? Expert Dr. Samuel Cykert from UNC School of Medicine discusses challenges, solutions, and proactive patient advice toward quality care.

[ACT]IVATION TIP

“…for things like biomarker testing and advanced treatments, you need to go to the closest high volume center.”

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Transcript:

Lisa Hatfield:

Dr. Cykert, what specific challenges do Black and Latinx patients with lung cancer often encounter in advocating for themselves within the healthcare system, and how can they navigate these challenges effectively to ensure they receive equitable and quality care?

Dr. Samuel Cykert:

Yes, and in our past research we discovered that there are certain implicit biases and communication biases that affect patients of color, and because of that, I think it’s really important to approach the clinical encounter with cancer care decision-makers with enthusiasm, that meaning making a direct statement that I’m very enthusiastic about getting care for my lung cancer, I’m very enthusiastic about biomarker testing, tailored therapy, surgery and research protocols. So please consider me for all those results, and I know what I said was just a mouthful.

And even if you can remember to just start with, I’m very enthusiastic about getting treatment, and biomarker testing would be good and I’m positive about it, how do you feel about it? Engage the clinician in the conversation so they really know that you’re part of the team and they’re part of the team, and you’re ready to move toward excellent treatment and you’re willing to consider even research stuff.


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Closing the Gap | Ensuring Equitable Access to Lung Cancer Biomarker Testing

Closing the Gap | Ensuring Equitable Access to Lung Cancer Biomarker Testing from Patient Empowerment Network on Vimeo.

How is biomarker testing implementation going in lung cancer care? Expert Dr. Samuel Cykert from UNC School of Medicine discusses biomarker testing trends, challenges, and proactive advice for patients.

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Transcript:

Lisa Hatfield:

Dr. Cykert, can you provide an overview of the current landscape of biomarker testing implementation in lung cancer care, and highlight any key trends or challenges that you’ve identified in your research or practice?

Dr. Samuel Cykert:

Yes, if you look at the history of innovations in cancer treatment, patients of color, especially Black patients and Native Americans, also always get exposed to the innovation late compared to other patients, and I don’t want that to happen for biomarker testing and treatments, just because some of the results, especially in lung cancer are so, so good. And so what I would say right now is, number one, for advanced cancer, there are already data that show that people of color are falling behind in both initial testing and subsequent testing.

So we really, really have to work on that. But a second thing that’s happening on the innovation front, is there was a study published in the New England Journal of Medicine, just about a year-and-a-half ago, that showed that biomarker testing and treatment could possibly be effective in early curable lung cancer, something called neoadjuvant therapy, where you actually treat patients with the biologic treatment before surgery. In this case, it’s a kind of immunotherapy that works better, it works really all throughout different types of cancer, but with one particular biomarker PD-L1, it works really, really well. And so it’s looking more and more like biological treatments and testing for lung cancer are going to make a big difference.

Lisa Hatfield:

Great, thank you. I do have a quick follow-up question to that too, when I put my patient lens on, so when you talk about the biomarker testing, are all of those biomarkers tested by biopsy or can they be done via blood test, and if a patient didn’t have them done on initial diagnosis, is it possible to have it done after a patient has been diagnosed, if it wasn’t done originally, can they go back and look at that tissue to see if those biomarkers are there?

Dr. Samuel Cykert:

Yes. Right now they’re pretty much all done on tissue specimens, and so it’s important to think about it upfront because obviously you don’t want to go through a biopsy twice if you don’t have to, but it is true that as long as there’s enough tissue taken at the initial biopsy, that preserved tissue can be tested later for other biomarkers that haven’t been done.


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Tumor Genetics vs. Family Genetics in Lung Cancer: What Is the Difference

Tumor Genetics vs. Family Genetics in Lung Cancer: What is the Difference? from Patient Empowerment Network on Vimeo.

What do lung cancer patients need to know about genetic testing? Dr. Lecia Sequist explains the two types of genetic testing and how the test results are used to create optimal treatment plans for personalized care.

Dr. Sequist is program director of Cancer Early Detection & Diagnostics at Massachusetts General Hospital and also The Landry Family Professor of Medicine at Harvard Medical School.

[ACT]IVATION TIP:

“…if you’ve been diagnosed with cancer, you should talk to your doctor about whether you should get genetic testing, either of your cancer cells or of your familial genetic background. And sometimes the answer will be yes to both those. But know that there are two different types of genetic testing.”

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What Are the Noted Disparities in Lung Cancer Screening and Access?


Transcript:

Lisa Hatfield:

Dr. Sequist, can you please explain what genetic testing is for cancer patients?

Dr. Lecia Sequist:

Yeah. This can be a really complicated area, so I’m so glad you asked me this question. I think genetic testing basically is looking at the genes. So inside each cell in our body, there are…there’s DNA, which is the genes, and the DNA is kind of like an instruction manual for your cells, and like any instruction manual it has different pages, it has different chapters and individual words. And when they’re doing genetic testing, they’re looking to see if any of those chapters or pages or words have a typo or maybe were deleted, sometimes a whole page or a whole chapter is deleted, or sometimes a chapter is picked out of where it’s supposed to go and shoved in another part of the book. And looking for these different kinds of mistakes or edits in the genes is what genetic testing does. But we can do genetic testing on different parts. When you’re talking about a patient who has cancer, there’s basically two different areas that can be tested genetically. One is the patient’s healthy body, the genes they were born with, that they inherited from their parents, that they’ve had their whole life or they could pass on to their children if they have children. And so that type of genetics is called the germline genetics, but it basically is the type of genes you can get from your parents or pass on to your children.

If you have been diagnosed with cancer, there’s a separate set of DNA, set of genetic testing, which is done on the cancer cells. And a lot of times those genes have not been with you your whole life, they just came up at the time that the first cancer cell appeared in your body. And they may be different than the germline genes you inherited from your parents. And so depends on the type of cancer that you have, there are some types of cancer where it is very common to look at the germline cancer gene…sorry, the germline genes to see if you have a predisposition for cancer. This is done a lot of times in breast and ovarian cancer and sometimes with colon cancer, where we know there are genes that can run in families that can predispose people to getting cancer. And the reason that’s done, if you’re diagnosed with cancer and they wanna check your familial genes, it’s because they wanna know if other people in your family might be at risk for the same type of cancer. Does this have implications for how your sister should be treated medically or your child?

Separately for lung cancer, for example, which I treat, we’re usually doing genetic testing on the cancer, and we’re looking at what’s making that cancer cell tick. Are there treatments, are there different drugs or therapies that we can give that will kill the cancer based on the genes that are in the cancer? And so that tumor cancer genetic testing is often called genotyping or it’s testing the somatic, which just means the cancer cells, the somatic genetic testing. But it’s complicated, and I think people, rightfully so, get confused about all these different types of genetic testing. I guess my activation tip for this question would be, if you’ve been diagnosed with cancer, you should talk to your doctor about whether you should get genetic testing, either of your cancer cells or of your familial genetic background. And sometimes the answer will be yes to both those. But know that there are two different types of genetic testing. 


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What Steps Can BIPOC Lung Cancer Patients Take to Guard Against Care Disparities?

What Steps Can BIPOC Lung Cancer Patients Take to Guard Against Care Disparities? from Patient Empowerment Network on Vimeo.

How can BIPOC lung cancer patients or other underrepresented  patients help guard against care disparities? Expert Dr. Lecia Sequist shares advice for non-small cell lung cancer (NSCLC) patients to help ensure they receive optimal treatment with the most advanced treatments available.

Dr. Sequist is program director of Cancer Early Detection & Diagnostics at Massachusetts General Hospital and also The Landry Family Professor of Medicine at Harvard Medical School.

[ACT]IVATION TIP:

“You don’t have to ask permission to get a second opinion, you can just make an appointment with a different oncologist or go to an oncologist if you haven’t seen one before. Because lung cancer is changing and treatments are more successful, and we all have to do more as a community to make sure that those treatments are offered to everyone.”

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Tumor Genetics vs. Family Genetics in Lung Cancer: What is the Difference

Tumor Genetics vs. Family Genetics in Lung Cancer: What is the Difference


Transcript:

Lisa Hatfield:

So, Dr. Sequist, we know that there are significant disparities in the treatment and the outcomes of minority patients who have non-small cell lung cancer. How can patients avoid these discrepancies in the timeliness of their diagnosis, because that can be an important factor in their outcome?

Dr. Lecia Sequist:

Yeah. I think lung cancer has changed a lot, but in the last 10 years, and there are better treatments than there used to be, and there’s a lot more treatments than there used to be, but not all doctors are aware of these new developments. And I think some doctors still have a kind of an old-fashioned nihilistic view about lung cancer, which can be very negative, which is that lung cancer can’t be treated effectively and patients are just going to do very poorly. That’s not true anymore. It may have been true 20, 30 years ago, unfortunately. But with treatments today, lung cancer patients can live longer, be cured more often and have better quality of life than with some of the older treatments.

And I think in the ideal world, the responsibility really should be on the physicians to make sure that they’re offering those treatments to patients, but in the real world, that doesn’t always happen. And so I think something that patients can do to empower themselves is also to ask their physicians if there’s anything else that can be done or if they should see a second opinion. If you’re feeling like your doctor is not offering you really many options or is being kind of nihilistic, having a very negative picture of what might happen to you with your cancer, then I would just get a second opinion. You don’t have to ask permission to get a second opinion, you can just make an appointment with a different oncologist or go to an oncologist if you haven’t seen one before. Because lung cancer is changing and treatments are more successful, and we all have to do more as a community to make sure that those treatments are offered to everyone. But until that day comes, I think patients also need to feel empowered to ask for other treatments and other opinions. 


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Can Artificial Intelligence and Machine Learning Help Advance Screening for Lung Cancer?

Can Artificial Intelligence and Machine Learning Help Advance Screening for Lung Cancer? from Patient Empowerment Network on Vimeo.

How will lung cancer personalized medicine be improved with advanced technologies? Expert Dr. Lecia Sequist explains how artificial intelligence and machine learning help advance screening for lung cancer and shares advice for patients.

Dr. Sequist is program director of Cancer Early Detection & Diagnostics at Massachusetts General Hospital and also The Landry Family Professor of Medicine at Harvard Medical School.

[ACT]IVATION TIP:

“… if you are 50 and you have smoked in the past, I would urge you to talk to your doctor about whether you can access lung cancer screening. But if you’re younger or you haven’t smoked in the past, you can’t access lung cancer screening right now. And we’re hoping to change that with AI that can really help figure out who is at risk of this disease.”

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What Are the Noted Disparities in Lung Cancer Screening and Access


Transcript:

Lisa Hatfield:

Dr. Sequist, technology is advancing at such a fast pace, and we’re hearing words like artificial intelligence and machine learning. And I just read an article about a team that you’ve been working with that is developing or has developed an AI model that can detect future lung cancer risk. I believe it’s based on CT scans. Can you speak to that a little bit more and also talk a little bit more about where you see this AI technology taking cancer research and predicting cancer and also any challenges that we might face with AI and machine learning in healthcare?

Dr. Lecia Sequist:

Yeah. AI seems to be everywhere. You turn on the news or you look at your phone, and it’s talking about AI. And some of it seems scary, and Hollywood doesn’t help because there’s lots of movies about computers or robots kind of taking over the human race. And I think we have to separate Hollywood from real life. Artificial intelligence or machine learning, it’s a very general term. It can mean a lot of different things depending on what the context is. But it’s basically just a tool for understanding patterns. And we all understand patterns in our own life or our own house. I personally know that my dog is going to want to, as soon as we wake up in the morning, is going to want to go outside and then is going to want to have some food, and there are different patterns that you know in your daily life that you recognize, and you can anticipate what’s going to happen next.

AI is a tool that helps us anticipate what’s going to happen next for patterns that are way more complex than, yeah, your dog’s going to want to go outside and eat some food. So computers can sometimes pick up patterns that the human brain can’t really pick up, because they’re just too complicated. And that’s what we’ve found in our research. One of the vaccine things about lung cancer and trying to figure out how we can prevent lung cancer or find it at the earliest stage when it’s most curable is that it’s very hard to know who’s at risk. We know that lung cancer is one of the most common cancers out there, but knowing who is truly at risk and separating one person from the next is not so simple.

In the past, it’s mainly been, you know, determined by whether or not you ever smoke cigarettes. And it’s true that cigarette smoking is one risk factor for lung cancer, but it’s not the only one. And we don’t fully understand what all the risk factors might be, but we know that there are people who have smoked a lot in their life and never get lung cancer. And on the flip side, we know that there’s people who have never smoked or who maybe quit 30, 40 years ago and will still get lung cancer. And how do we know who’s at risk? That’s what we tried to solve with our research that I worked on with my colleagues at Mass General Hospital where I work and also at MIT, Massachusetts Institute of Technology, which is just down the road from us. And so we brought together our medical knowledge and our computer knowledge and tried to come up with a way to predict for any given individual person, are they at risk for lung cancer.

By looking at their lungs and not looking at the lungs the way a human radiologist sort of says, okay, there’s the right lung, there’s the left lung, and they’re looking for things that already exist like a tumor or a mass. The computer looks at a different type of pattern that human eyes and brains can’t really recognize and has learned the pattern, because we trained the computer with thousands and tens of thousands of scans where we knew this person went on to develop cancer and this one didn’t. And the computer learned the pattern of risk. And so using an X-ray or a CAT scan to predict future risk is something a little different. In medicine, we usually use an X-ray to say, okay, what’s happening now? Why does this patient have a fever? Why is this patient bleeding? And using an X-ray or a CAT scan in this case to predict the future is kind of a new thought for doctors. But we think that it could be a really valuable tool to help us understand who’s at risk for many different kinds of diseases. We happen to look at lung cancer, but I think you could use this idea for other diseases too.

Lisa Hatfield:

So will this AI model become mainstream anytime soon if a patient wants to access that? Or is it only being used for research purposes?

Dr. Lecia Sequist:

Well, we do before we start to offer anything mainstream or as part of routine care, we really need to understand how it can be used to help patients. So we are running some clinical trials right now to try and understand, is this a tool that could be used, for example, to give someone access to lung cancer screening? Because right now, if you want to have lung cancer screening, which is a very effective screening test to try and find cancer in people who feel completely well, trying to find cancer at the earliest stage before it has spread, can we give people access to lung cancer screening by using this AI test? Right now and if you want to get lung cancer screening, you have to be 50 or older, and you have to have smoked in the past. And if that fits your, if you are 50 and you have smoked in the past, I would urge you to talk to your doctor about whether you can access lung cancer screening. But if you’re younger or you haven’t smoked in the past, you can’t access lung cancer screening right now. And we’re hoping to change that with AI that can really help figure out who is at risk of this disease.

Lisa Hatfield:

Thank you. I’m excited to see where this goes in the future. 


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