Prediction & Beyond

Patient database Excludes the use of irradiation or other invasive techniques Limited patient cooperation is required  Mobile use in multiple settings

   

Introduction: The V/Q Scan along with the lung function test is the diagnostic methods in the prediction of the lung function after lung resection due to cancer.  The VRIxp™ device records the vibration as response to airflow whilst the patient breathes normally for 12 seconds, non-invasively & without radiation.  Included in the comprehensive imaging tools is a regional calculation of the vibration distribution [Quantitative Lung Data - QLD] for any given breathing cycle within the 12 second period.  Clinical validation studies have validated that the QLD can be directly correlated with VQ Scan results. ^{[1], [2]}

Quick, Easy, Accurate & Efficient

Now the VRIxp™ imaging system has been further developed to include a desktop software package, the O-Plan that will enable the specialist to assess the operability of patients with surgically resectable lung malignancies at the bedside & without any radiation.  The specialist simply combines the results from the VRIxp™ device, with current lung function results & intended surgery plan to accurately & efficiently asses the patients’ lung function post-surgery, and to better plan the surgery.

Based on the PPO guidelines for accurate & objective measurements, the O-plan results of the PPO equation are presented for an even more effective assessment.

Multiple recordings by the VRIxp™ device, with automatic or manually selected breathing cycles, enable the specialist to achieve high reliability of the results.

The VRIxp™ data is presented in a manner similar to quantitative lung scintigraphy.

Use in Multiple Settings, Non-Invasively & Without Radiation

 


Results are calculated within 4-7 minutes 

Automated Reporting System

Displays multiple recordings for accurate calculation

System guide for easy operation

1. Kramer MR - Regional breath sound distribution analysis in single-lung transplant recipients. J Heart Lung Transplant. 2007;26(11):1149-54

2. Rodolfo C. Morice, VRI for predicting postoperative lung function in patients with lung cancer. The University of Texas MD Anderson Cancer Center, Houston, TX, Chest 2007