AL Amyloidosis Clinical Trial

Artificial Intelligence Guided Echocardiographic Screening of Rare Diseases (EchoNet-Screening)

Summary

Despite rapidly advancing developments in targeted therapeutics and genetic sequencing, persistent limits in the accuracy and throughput of clinical phenotyping has led to a widening gap between the potential and the actual benefits realized by precision medicine.

Recent advances in machine learning and image processing techniques have shown that machine learning models can identify features unrecognized by human experts and more precisely/accurately assess common measurements made in clinical practice.

The investigators have developed an algorithm, termed EchoNet-LVH, to identify cardiac hypertrophy and identify patients who would benefit from additional screening for cardiac amyloidosis and will prospectively evaluate its accuracy in identifying patients whom would benefit from additional screening for cardiac amyloidosis.

View Full Description

Full Description

Despite rapidly advancing developments in targeted therapeutics and genetic sequencing, persistent limits in the accuracy and throughput of clinical phenotyping has led to a widening gap between the potential and the actual benefits realized by precision medicine. This conundrum is exemplified by current approaches to assessing morphologic alterations of the heart. If reliably identified, certain cardiac diseases (e.g. cardiac amyloidosis and hypertrophic cardiomyopathy) could avoid misdiagnosis and receive efficient treatment initiation with specific targeted therapies. The ability to reliably distinguish between cardiac disease types of similar morphology but different etiology would also enhance specificity for linking genetic risk variants and determining mechanisms

Recent advances in machine learning and image processing techniques have shown that machine learning models can identify features unrecognized by human experts and more precisely/accurately assess common measurements made in clinical practice. In echocardiography, this ability for precision measurement and detection is important in both disease screening as well as diagnosis of cardiovascular disease.

Echocardiography is routinely and frequently used for diagnosis and prognostication in routine clinical care, however there is often subjectivity in interpretation and heterogeneity in application. Human attention is fatigable and has heterogenous interpretation between providers. AI guided disease screening workflows have been proposed for rare diseases such as cardiac amyloidosis and other diseases with relatively low prevalence but significant human impact with targeted therapies when detected early. This is an area particularly suitable for AI as there are multiple mimics where diseases like hypertrophic cardiomyopathy, cardiac amyloidosis, aortic stenosis, and other phenotypes might visually be similar but can be distinguished by AI algorithms. The investigators have developed an algorithm, termed EchoNet-LVH, to identify cardiac hypertrophy and identify patients who would benefit from additional screening for cardiac amyloidosis, hypertrophic cardiomyopathy and other diseases. E

View Eligibility Criteria

Eligibility Criteria

Inclusion Criteria:

Patients who have a high suspicion for cardiac amyloidosis by AI algorithm

Exclusion Criteria:

Patients who decline to be seen at specialty clinic
Patients who have passed away

Study is for people with:

AL Amyloidosis

Estimated Enrollment:

300

Study ID:

NCT05139797

Recruitment Status:

Recruiting

Sponsor:

Cedars-Sinai Medical Center

Check Your Eligibility

Let’s see if you might be eligible for this study.

What is your age and gender ?

Submit

There is 1 Location for this study

See Locations Near You

Cedars-Sinai Medical Centre (Los Angeles)
Los Angeles California, 90048, United States More Info
David Ouyang, MD
Contact
832-495-1605
[email protected]

How clear is this clinincal trial information?

Study is for people with:

AL Amyloidosis

Estimated Enrollment:

300

Study ID:

NCT05139797

Recruitment Status:

Recruiting

Sponsor:


Cedars-Sinai Medical Center

How clear is this clinincal trial information?

×

Introducing, the Journey Bar

Use this bar to access information about the steps in your cancer journey.