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Echocardiographic Wall Thickness Heterogeneity as Marker of Hypertrophic Cardiomyopathy: A Proof-of-Concept Analysis From the Prospective Multicenter IMAGE-HCM Study

This proof-of-concept analysis from the IMAGE-HCM study demonstrates that echocardiographic wall thickness standard deviation (WTSD) is a feasible, reproducible, and diagnostically accurate quantitative marker for distinguishing overt hypertrophic cardiomyopathy from non-HCM hypertrophic phenotypes, showing strong agreement with cardiac MRI-derived measurements.

Original authors: Monica Barki, Federico Biondi, Alessandro Aresu, Riccardo Colombi, Paola Cunsolo, Diego Fanti, Monica Zaccuri, Giorgio Escalar, Margherita Fabris, Davide Margonato, Stefano Stella, Giacomo Ingallina
Published 2026-10-05
📖 5 min read🧠 Deep dive

Original authors: Monica Barki, Federico Biondi, Alessandro Aresu, Riccardo Colombi, Paola Cunsolo, Diego Fanti, Monica Zaccuri, Giorgio Escalar, Margherita Fabris, Davide Margonato, Stefano Stella, Giacomo Ingallina, Francesco Ancona, Giorgio Fiore, Vincenzo Rizza, Ludovica Bognoni, Leone Musci, Davide Vignale, Anna Palmisano, Antonio Esposito, Marco Merlo, Gianfranco Sinagra, Giovanni Donato Aquaro, Gabriele Paci, Massimo Slavich, Eustachio Agricola

Original paper licensed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). ✨ This is an AI-generated explanation of the paper below. It is not written or endorsed by the authors. For technical accuracy, refer to the original paper. Read full disclaimer

The human heart is a muscle that pumps blood, and like any muscle, it can grow thicker when it has to work harder. Sometimes, this thickening happens for a clear reason, such as high blood pressure or intense athletic training. But there is another condition, called hypertrophic cardiomyopathy, where the heart muscle thickens without an obvious external cause. This condition is often inherited and can be dangerous because the thickened muscle can interfere with the heart's ability to pump blood or trigger irregular rhythms. For decades, doctors have diagnosed this condition by measuring the thickness of the heart wall at its thickest point. If that single measurement exceeds a certain limit, the diagnosis is usually made. However, this approach has a blind spot. It looks only at the maximum size, missing the fact that in this specific disease, the thickening is often uneven. One part of the wall might be very thick while the part right next to it is only slightly thickened or even normal. This unevenness, or patchiness, is a hallmark of the disease, but it has been difficult to spot using standard tools.

A team of researchers at the San Raffaele Hospital in Milan set out to find a better way to see this unevenness. They focused on a concept called wall thickness standard deviation. In simple terms, this is a number that describes how much the thickness of the heart wall varies from one section to another. A heart with perfectly even thickening would have a low number, while a heart with a chaotic mix of very thick and normal sections would have a high number. While this measurement had been studied using magnetic resonance imaging, a powerful but expensive and time-consuming scan, the researchers wanted to know if it could be done with a standard ultrasound of the heart, which is quick, cheap, and available in almost every clinic. They conducted a study involving fifty-one patients who already had some form of heart thickening. Thirty-seven of these patients had the confirmed disease, while the other fourteen had thickening caused by other factors, such as high blood pressure or a different type of heart condition. The goal was to see if the unevenness of the wall could help tell these two groups apart.

The researchers went back through the medical records of these patients and carefully measured the thickness of the heart wall in sixteen different segments for each person. They did this twice for every patient: once using the ultrasound images and once using the magnetic resonance images. They then calculated the variation in thickness for each patient. The results were clear. The patients with the confirmed disease showed a much greater variation in wall thickness than the patients with other causes of thickening. The group with the disease had an average variation of about 3.9 on the ultrasound scale, while the other group averaged only 2.3. The same pattern appeared in the magnetic resonance scans, where the disease group averaged 3.4 and the other group averaged 2.6. This confirmed that the unevenness of the wall is a real feature of the disease, not just a measurement error.

Perhaps the most important finding was that the ultrasound measurements matched the magnetic resonance measurements very closely. When the researchers compared the numbers from the two different machines for the same patients, they found a strong agreement. This suggests that the unevenness of the heart wall can be detected reliably using the standard ultrasound machine that doctors use every day. The study also looked at how well this new measurement could distinguish between the disease and other conditions. Using a specific threshold, the ultrasound method was able to identify the disease with a level of accuracy that was comparable to the more advanced magnetic resonance scan. This is significant because it means that a doctor could potentially use a routine ultrasound to spot the subtle signs of the disease earlier, especially in cases where the heart wall is not yet massively thick but is already showing signs of uneven growth.

The researchers noted that this was a preliminary study with a relatively small number of patients, so the findings need to be tested in larger groups to be certain. They also pointed out that this measurement should not replace the current way of diagnosing the disease but rather add to it. By looking at both how thick the heart is and how uneven that thickness is, doctors could get a more complete picture of the heart's condition. The study concludes that measuring the variation in wall thickness is a feasible and useful tool that can be done with standard ultrasound equipment. It offers a new way to see the unique, patchy nature of this heart condition, potentially helping to identify it sooner and more accurately than relying on a single maximum measurement.

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