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N staging of lung cancer patients with PET/MRI using a three-segment model attenuation correction algorithm: Initial experience.
- Source :
-
European Radiology . Nov2013, Vol. 23 Issue 11, p3161-3169. 9p. - Publication Year :
- 2013
-
Abstract
- Objectives: Evaluate the performance of PET/MRI at tissue interfaces with different attenuation values for detecting lymph node (LN) metastases and for accurately measuring maximum standardised uptake values (SUVmax) in lung cancer patients. Materials and Method: Eleven patients underwent PET/CT and PET/MRI for staging, restaging or follow-up of suspected or known lung cancer. Four experienced readers determined the N stage of the patients for each imaging method in a randomised blinded way. Concerning metastases, SUVmax of FDG-avid LNs were measured in PET/CT and PET/MRI in all patients. A standard of reference was created with a fifth experienced independent reader in combination with a chart review. Results were analysed to determine interobserver agreement, SUVmax correlation between CT and MRI (three-segment model) attenuation correction and diagnostic performance of the two techniques. Results: Overall interobserver agreement was high (κ = 0.86) for PET/CT and substantial (κ = 0.70) for PET/MRI. SUVmax showed strong positive correlation (Spearman's correlation coefficient = 0.93, P < 0.001) between the two techniques. Diagnostic performance of PET/MRI was slightly inferior to that of PET/CT, without statistical significance ( P > 0.05). Conclusions: PET/MRI using three-segment model attenuation correction for LN staging in lung cancer shows a strong parallel to PET/CT in terms of SUVmax, interobserver agreement and diagnostic performance. Key Points: • F18-FDG PET/MRI shows similar performance to F18-FDG PET/CT in lung cancer N staging. • PET/MRI has substantial interobserver agreement in N staging. • A three-segment model attenuation correction is reliable for assessing the mediastinum. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 09387994
- Volume :
- 23
- Issue :
- 11
- Database :
- Academic Search Index
- Journal :
- European Radiology
- Publication Type :
- Academic Journal
- Accession number :
- 90592952
- Full Text :
- https://doi.org/10.1007/s00330-013-2914-y