Detection of pulmonary nodules in CCTA acquisition

Purpose	The algorithm should identify the pulmonary nodules in a common CCTA.
Tag(s)
Panel	Cardiac Panel
Define-AI ID	19040038
Originator	Giuseppe Muscogiuri
Lead	Giuseppe Muscogiuri
Panel Chair	Carlo De Cecco
Panel Reviewers	Cardiac Panel
License	Creative Commons 4.0
Status	Published

                               

Value Proposition

In clinical practice, automated detection of pulmonary nodules in coronary computed tomography angiography (CCTA) should speed up the reporting time. Patients who undergo cardiac CT could be evaluated in the same examination for presence of nodules with high probability of malignancy as well as presence of coronary artery disease.

Narrative(s)

Patients undergo to CCTA for rule out or follow up of CAD, commonly have lung disease. Patients undergo cardiac CT for the assessment of CAD or evaluation of calcium score. Images reconstructed with large field of view (FOV) can be analyzed using the AI algorithm.

Workflow Description

CCTA and CT for calcium score acquisition are acquired in clinical routine. Images with large field of view are elaborated and send to PACS system.
Subsequently the AI algorithm analyzes the lung, identifying nodules and alerting the physician in presence of pulmonary nodules.

Procedures	CT, Chest
Views	{Axial}
Age	[0,90]
Comorbidities	{presence of chronic obstructive pulmonary disease)
Breath artifacts	present, absent Clinical Notes : Breath artifacts can provide both false positive and false negative.
Limphonodes	present, absent

Inputs

DICOM Study

Primary Outputs

 

Pulmonary Nodules Detection

Secondary Outputs

 

Pulmonary Nodule Attenuation

 

 

 

Pleural Involvement

 

 

• Evaluation of AI algorithm for pulmonary nodules detection can be  further developed for patients with history of carcinoma.

No known related public datasets at this time,  please alert us if you know of any.