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Systematic review and meta-analysis evaluates RELAPS pattern diagnostic accuracy in cardiac amyloidosisHeart Scan Trick Helps Catch Hidden Heart Disease Early

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Key Takeaway
Consider RELAPS pattern accuracy varies by software platform in cardiac amyloidosis diagnosis.

This systematic review and meta-analysis assesses the diagnostic accuracy of the left ventricular relative apical sparing (RELAPS) pattern on speckle-tracking echocardiography for detecting cardiac amyloidosis. The analysis pooled data from 3473 patients with cardiac amyloidosis (CA) and 4525 comparators. The primary outcome was the area under the receiver operating characteristic curve (AUC-ROC), with secondary outcomes including sensitivity and specificity.

The meta-analysis reported an overall AUC-ROC of 0.818 (95% CIs not reported) for the RELAPS pattern. For AL-CA, the AUC-ROC was 0.876, with sensitivity of 59.8% (95% CIs 41.1% to 76.0%) and specificity of 92.7% (95% CIs 83.6% to 96.9%). For ATTR-CA, the AUC-ROC was 0.822, with sensitivity of 63.8% (95% CIs 51.2% to 74.8%) and specificity of 84.4% (95% CIs 76.7% to 89.9%).

Performance varied significantly by analysis software. GE EchoPAC yielded an AUC-ROC of 0.822, while Philips QLAB showed an AUC-ROC of 0.904. TomTec demonstrated an AUC-ROC of 0.806. The authors note that performance varies by analysis software and threshold. This variation highlights the importance of standardizing measurement protocols and defining prespecified cut-offs to ensure consistent diagnostic interpretation across different clinical settings.

Imagine walking into a doctor's office with shortness of breath. The heart looks thick on the scan, but the cause remains a mystery. Doctors often see a swollen heart but cannot find the reason why. This confusion delays the right treatment for months.

This condition is called cardiac amyloidosis. It happens when a protein builds up in the heart wall. The muscle gets stiff and cannot pump blood well. It mimics other common heart diseases like high blood pressure. Because the symptoms are vague, many people wait years for answers.

Why Heart Scans Often Miss This Disease

Standard heart scans measure the size of the chambers. They look at how much blood moves in and out. These tests are good for many problems. They are not always good for protein buildup.

The protein hides in the muscle fibers. It does not change the size much. It changes how the muscle moves. A standard scan might miss this subtle change. Doctors need a tool that sees movement, not just shape.

The Muscle Movement Pattern Doctors Watch

Researchers found a specific pattern in how the heart squeezes. They call it the RELAPS pattern. It stands for Relative Apical Sparing. This sounds technical, but the idea is simple.

Think of the heart like a balloon. In this disease, the bottom part gets stiff. The top part stays flexible. When the heart squeezes, the top moves better than the bottom. This creates a unique shape on the screen.

Doctors use a special type of ultrasound called speckle-tracking. It follows the muscle fibers like a tracker follows a runner. It measures the strain on the muscle. The top of the heart shows more strain than the bottom. This difference is the key clue.

Software Differences Change Test Results

A team of experts reviewed 41 studies to check this method. They looked at over 3,400 patients with the disease. They compared the new pattern against old methods. They wanted to know if it worked everywhere.

The results showed the pattern works well. It caught about two-thirds of the cases. It correctly ruled out the disease in most others. This means it is a strong tool for confirmation.

However, the computer software matters. Some systems worked better than others. GE EchoPAC and Philips QLAB showed high accuracy. TomTec software was less sensitive. It missed more cases even though it was specific.

This does not replace a doctor's full evaluation.

What This Means For Your Diagnosis

Patients with unexplained heart issues should ask about this test. It helps confirm the diagnosis quickly. A faster diagnosis means faster treatment. It can stop the protein from building up more.

Doctors need to use the right software. They must measure the pattern carefully. Standard rules are needed for all machines. This ensures every patient gets the same result.

The study showed good accuracy for both types of amyloidosis. It works for the protein type called AL. It also works for the type called ATTR. This makes it useful for many different patients.

But there is a catch. The test is not perfect. It misses some cases. It is not a standalone answer. It works best when combined with other tests. Doctors use it to build a full picture of the heart.

More research will refine these rules. Experts want to standardize the measurements. They want all machines to give the same numbers. This will make the test easier to use.

Doctors need training to read the patterns. They must learn the new software tools. Hospitals need to update their systems. This takes time and money.

The goal is to make this test routine. It should be part of every heart scan. This will help catch the disease early. Early detection saves lives and improves quality of life.

For now, talk to your cardiologist. Ask if this pattern is available in your area. Share your symptoms and concerns openly. Together, you can find the right path forward. The science is moving fast. New tools are coming to help you stay healthy.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedApr 2026
View Original Abstract ↓
BACKGROUND: Cardiac amyloidosis (CA) is underdiagnosed due to non-specific clinical and echocardiographic features. This systematic review and meta-analysis evaluated the diagnostic accuracy of the left ventricular relative apical sparing (RELAPS) pattern on speckle-tracking echocardiography. METHODS: A literature search of PubMed, Scopus and Cochrane was conducted through August 2025. RELAPS was defined as the average apical longitudinal strain divided by the sum of average basal and average middle left ventricular longitudinal strains. Diagnostic accuracy was assessed using a bivariate random-effects model. Subgroup analyses by CA subtype and echocardiogram software, and meta-regression for clinical variables, were performed. Optimal cut-offs were determined by maximising the Youden index. Analyses were conducted in R V.4.4.1. RESULTS: Forty-one studies (3473 CA; 4525 comparators) were included. Pooled analysis yielded an area under the receiver operating characteristic curve (AUC-ROC) of 0.818, with sensitivity 65.9% (95% CIs 59.2% to 72.0%) and specificity 83.1% (CI 78.5% to 86.8%). The diagnostic oods ratio (DOR) was 9.54 (CI 7.41 to 12.10). In subtype analyses, immunoglobulin light chains (AL-CA) showed AUC-ROC 0.876, sensitivity 59.8% (CI 41.1% to 76.0%) and specificity 92.7% (CI 83.6% to 96.9%); transthyretin (ATTR-CA) showed AUC-ROC 0.822, sensitivity 63.8% (CI 51.2% to 74.8%) and specificity 84.4% (CI 76.7% to 89.9%), with no significant differences between subtypes (sensitivity p=0.760; specificity p=0.172). Three echocardiography software systems were evaluated. GE EchoPAC (26 studies) achieved an AUC-ROC of 0.822 (sensitivity 70.4% (CI 64.1% to 76.0%), specificity 81.2% (CI 75.7% to 85.7%)). Philips QLAB (four studies) performed comparably (AUC-ROC 0.904; sensitivity 67.6% (CI 31.2% to 90.6%), specificity 92.7% (CI 73.6% to 98.3%)). In contrast, TomTec (four studies) had an AUC-ROC of 0.806, but its sensitivity (31.1% (CI 9.4% to 66.3%)) was significantly lower than GE EchoPAC's (p<0.001), despite a similar specificity (93.6% (CI 78.8% to 98.3%)). CONCLUSION: RELAPS provides moderate diagnostic accuracy for identifying CA, with good specificity and modest sensitivity. Performance varies by analysis software and threshold, underscoring the need for standardised measurement and prespecified cut-offs.
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