Thoracic Imaging

Overview

Thoracic imaging includes radiography CT and PET for lung and mediastinal disease. It evaluates infection neoplasm and interstitial lung disease. Imaging guides biopsy and surgical planning.

Lung Nodule Evaluation

CT characterizes lung nodules and assesses growth over time. Low dose CT is used for lung cancer screening in high risk patients. PET CT helps determine metabolic activity of nodules.

Cardiothoracic Applications

CT angiography evaluates pulmonary embolism and vascular anomalies. Cardiac CT assesses coronary disease and structural abnormalities. Imaging supports interventional and surgical decision making.

Interstitial Lung Disease

High resolution CT characterizes interstitial lung disease patterns. Imaging helps differentiate causes and guide management. Serial imaging monitors disease progression and response.

AI for Image Based Pulmonary Embolism Detection

Overview

AI detects pulmonary emboli on CT pulmonary angiography to assist radiologists. Rapid detection supports timely anticoagulation and intervention. Triage alerts prioritize critical studies for review.

Model Performance

Sensitivity for central and segmental emboli is a key performance metric. False positives from artifacts and motion must be minimized. External validation ensures robustness across scanners.

Workflow Integration

AI alerts integrate with reporting systems to expedite clinician notification. Prioritization reduces time to treatment in acute cases. Human confirmation remains required before therapy.

Outcome Measurement

Impact on time to anticoagulation and clinical outcomes is assessed in implementation studies. Continuous monitoring tracks model performance and drift. Governance ensures safe clinical use.