Diagnostic Biking MRI machine could revolutionise the early diagnosis of heart conditions
New research will enable more doctors to utilise a simple test called Exercise Cardiac MRI to diagnose heart conditions accurately at an earlier stage.
A quarter of deaths in the UK are caused by heart disease, the equivalent of one person every three seconds. Improving diagnostics will allow for earlier diagnosis and better health outcomes.
Research published聽today in Radiology:聽Cardiothoracic imaging and led by the聽聽at the MRC Laboratory of Medical Sciences (LMS) has established the normal range of measurements (reference ranges) that indicate someone鈥檚 heart is responding in a healthy way to exercise. These ranges are needed to better interpret a medical imaging technique called Exercise Cardiac MRI (exCMR), which means this work could help increase uptake of the test in clinics across the UK and internationally.
The study was primarily supported by the Medical Research Council, the British Heart Foundation and the 蓝莓视频 Imperial BRC.
The team carried out live cardiac imaging in 161 healthy people between the ages of 22 and 77 during exercise to determine what the response of a healthy heart looks like. Importantly, the team found how a healthy response to exercise differed between men and women. Men鈥檚 hearts were more responsive to exercise than women鈥檚, even allowing for body size, which needs to be accounted for when diagnosing heart conditions.
What is exCMR and how could it improve diagnosis?聽
ExCMR is used to study the heart鈥檚 response to exercise and is a valuable tool for diagnosing and managing various cardiovascular conditions.聽 A special attachment allows you to pedal like you鈥檙e on a bike while you lie in the MRI scanner. As you pedal, the team can observe your heart respond, allowing them to get a clearer idea of your heart health.
For some people, an early or undiagnosed heart condition doesn鈥檛 cause many problems while they鈥檙e resting. The signs of their condition become more apparent as they carry out their daily activities, such as walking up the stairs or running for the bus. Usually, people undergo an MRI scan while they are in a resting position.
鈥淵oung people and people in the early heart stages of heart disease are very good at compensating for their condition when they鈥檙e at rest,鈥� says Professor Declan O鈥橰egan, head of the computational cardiac imaging group at the LMS, 鈥淏ut if we make them exercise during their MRI they can no longer compensate and we get a much clearer idea of who has the least resilience and who is really at risk.鈥�
This means that by聽imaging聽the heart during exercise, we聽could聽diagnose heart disease earlier and more accurately.聽Better and earlier diagnosis will lead to better outcomes for聽patients with heart disease.
Why do we need reference ranges?聽
While the exCMR is known to be a useful test, it鈥檚 not widely used in clinical practice.
鈥淥ne of the barriers to more clinics using this test is that until now we didn鈥檛 know what normal and abnormal responses to exercise looked like,鈥� says Declan, 鈥淥ur study provides reference ranges for normal health so we can now interpret the results from this test and get a better idea of where people sit on this range.鈥�
The test is relatively inexpensive and is safe and straightforward to use. Now, having a better understanding of reference ranges will help more doctors to use it.
鈥淭his study will help clinicians better understand the value of this test and when to use it. This is an important step in getting the exCMR into practice,鈥� says Declan.
Operating at the interface between fundamental research and clinical translation, this work closely aligns with the LMS鈥� strategy to work towards understanding the mechanisms that underlie human health and disease which could lead to new or improved diagnostics and treatments.
