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Published on: December 19, 2020
Validation of RAH VQ SPECT/CT lobar quantification program using a modified version of GE Q lung
Chong Ghee Chew1, Benjamin Crouch, Stirling Ha
1Department of Nuclear Medicine, PET and Bone Mineral Densitometry, Royal Adelaide Hospital, Australia. Ghee.Chew@sa.gov.au.
This study validates RAHVQSQ software for quantifying lobar ventilation, perfusion, and volume using SPECT/CT scans. The software shows good concordance with a commercial program, supporting its accuracy for lung volume reduction assessments.
Area of Science:
- Pulmonary Medicine
- Radiology
- Medical Imaging
Background:
- Ventilation-perfusion (VQ) SPECT/CT lobar quantification is crucial for pre-operative lung assessments.
- Bronchoscopic lung volume reduction (BLVR) for emphysema relies on accurate lobar targeting.
- RAH ventilation perfusion SPECT/CT quantification (RAHVQSQ) software has shown reproducibility but requires accuracy validation.
Purpose of the Study:
- To validate the accuracy of the in-house RAHVQSQ software.
- To compare RAHVQSQ quantitative results with a modified commercial program (GE Q lung).
- To assess the reliability of RAHVQSQ for pre-operative lung volume reduction planning.
Main Methods:
- Retrospective analysis of VQ SPECT/CT data from 19 subjects with advanced emphysema.
- Independent and blinded re-analysis using a modified GE Q lung software by two technologists.
- Statistical analysis including intraclass correlation coefficient (ICC) and Bland-Altman limits of agreement (LoA) to determine interobserver variation.
Main Results:
- High ICC values (0.63–0.97) were observed for lobar differential ventilation, perfusion, and volume percentages.
- Mean differences in LoA were close to zero for all parameters, indicating good concordance.
- RAHVQSQ demonstrated strong agreement with the blinded GE Q lung assessment.
Conclusions:
- The RAHVQSQ software accurately estimates differential lobar ventilation, perfusion, and volume percentages.
- Close concordance with a validated commercial program supports the accuracy of RAHVQSQ.
- The validated RAHVQSQ methodology is reliable for pre-operative assessment in patients with advanced airway disease.
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