Aview LCS

AI-powered identification and assessment of pulmonary nodules for chest LDCT.

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Overview

Aview LCS helps clinicians with the review, analysis and reporting of thoracic CT images to characterize lung nodules in a single study, or over the course of several thoracic studies.

AVIEW LCS - image

Features

  • Nodule localization within the right upper lobe (RUL), right middle lobe (RML), right lower lobe (RLL), left upper lobe (LUL), and left lower lobe (LLL).
  • Clearly marks the position of each nodule, aiding in accurate diagnosis and follow-up.
  • Provides quantification on nodule size - effective diameter, volume, minimum and maximum Hounsfield Units (HU).
  • Automatic calculation of volume doubling time (VDT) on follow-up.
  • Evaluating nodules in accordance with Brock score, LungRADS and the European Union Position Statement on Lung Cancer Screening guidelines.
  • Generates detailed and summarized reports on the findings, including nodule characteristics, measurements, and risk assessments.

Benefits

Aview LCS aims to :

  • Reduce radiologist workload, allowing them to focus on critical diagnoses.
  • Enhance the efficiency and accuracy of lung nodule detection and reporting.
  • Improve the standardization and implementation of lung cancer screening.
 

Image examples

To find out more about this solution or any of the other 140+ applications on the Blackford Platform, please book a discovery call with our team.

review image 1

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