Left Ventricle Wall Motion

Purpose

Automate standard left ventricle wall motion assessment

Tag(s)

#LV Functional Assessment

Panel

 Cardiac

TOUCH-AI ID

 AI-04180011

Originator

Carlo De Cecco

Panel Chair

Carlo De Cecco

Panel Reviewers

Cardiac Panel

License

Creative Commons 4.0

Status Public Commenting

Clinical Implementation


Value Proposition

The measurement of left ventricular (LV) function is a well-established clinical parameter that has fundamental diagnostic, therapeutic, and prognostic implications. Cardiac CT angiography (CCTA) and cardiac magnetic resonance (CMR) allow accurate LV morphological and functional assessment. Automated LV function quantification would save the interpreting physician time by eliminating manual measurements, preventing detection errors, and providing structured quantitative data, which could then be used in later studies or risk-stratification schemes.

Narrative(s)

All patients undergoing CCTA or CMR examinations should have automated quantification of LV function if data are available, which may then be automatically populated into the radiology report or a report supplement.

Workflow Description

A patient receives ECG-synchronized CCTA of the heart. An algorithm retrieves the imaging data set and may ingest additional electronic medical records (EMR) data such as age, sex, and body surface area (BSA). The algorithm calculates the local values for myocardial wall thickness during end-diastole (ED), myocardial wall thickness during end-systole (ES), and wall motion within each of the 17 myocardial regions derived from the 17 segments of the American Heart Association (AHA) model. The algorithm returns all measurements to the radiologist. ED myocardial wall thickness, ES myocardial wall thickness, and myocardial wall motion could be visualized in a 17-segment image as a color-coded polar map.

Considerations for Dataset Development


Procedures(s): ECG-synchronized cardiac CT

 

View(s): CCTA: Any volumetric imaging data set

 

Sex at Birth: {Male, Female}

 

Age: [15,90]

 

Body Surface Area: varied

 

Heart Abnormalities: {Congenital heart disease, ventricular septal defects, congenital heart disease repair, mitral valve replacements}

 

Contrast Material: {Contrast-enhanced (CCTA), noncontrast enhanced applications}

Technical Specifications


Inputs

DICOM Study

Procedure

ECG-synchronized cardiac CT

Views

CCTA: Any volumetric imaging data set

Data Type

DICOM

Modality

CT

Body Region

Chest

Anatomic Focus

Heart

 

Primary Outputs

Myocardial Wall Motion

RadElement ID

RDE308

Definition

Calculated subtracting ES wall thickness from ED wall thickness (mm)

Data Type

Numeric

Value Set

[0,20]

Units

mm

Public Commenting


Use cases are meant to be a primary vehicle for distributing clinical information to the developer community. They pinpoint precise scenarios within radiology workflows where potential automation could add noticeable value and establish standards for interpreting and passing corresponding common data elements. Implementing effective standards requires the perspective from all stakeholders. So to that end, we encourage your feedback on use cases.

To submit comments, please email DSIUseCases@acr.org with the use case title(s) and relevant comments by January 1, 2019. If more convenient, you may also download this use case and comment directly on the PDF. Just attach the PDF copy on the email.