OBJECTIVE: To investigate the diagnostic value of whole-body magnetic resonance imaging (MRI) including diffusion-weighted imaging with background signal suppression (DWIBS) for preoperative assessment of non-small-cell lung cancer (NSCLC) in comparison to (18)F-fluorodeoxyglucose (18)FDG) positron emission tomography/computed tomography (PET/CT). METHODS: Thirty-three patients with suspected NSCLC were enrolled. Patients were examined before surgery with PET/CT and whole-body MRI including T1-weighted turbo spin echo (TSE), T2-weighted short tau inversion recovery (STIR) and DWIBS sequences (b = 0/800). Histological or cytological specimens were taken as standard of reference. RESULTS: Whole-body MRI with DWIBS as well as PET/CT provided diagnostic image quality in all cases. Sensitivity for primary tumour detection: MRI 93%, PET/CT 98%. T-staging accuracy: MRI 63%, PET/CT 56%. N-staging accuracy: MRI 66%, PET/CT 71%. UICC staging accuracy: MRI 66%, PET/CT 74%. Sensitivity for metastatic involvement of individual lymph node groups: MRI 44%, PET/CT 47%. Specificity for individual non-metastatic lymph node groups: MRI 93%, PET/CT 96%. Assessment accuracy for individual lymph node groups: MRI 85%, PET/CT 88%. Observer agreement rate for UICC staging: MRI 74%, PET/CT 90%. CONCLUSION: Whole-body MRI with DWIBS provides comparable results to PET/CT in staging of NSCLC, but shows no superiority. Most relevant challenges for both techniques are T-staging accuracy and sensitivity for metastatic lymph node involvement. KEY POINTS: Numerous radiological methods are available for the crucial staging of lung cancer. Whole-body DWIBS MRI provides comparable results to PET/CT in NSCLC staging. No evident superiority of whole-body DWIBS over PET/CT in NSCLC staging. Challenges for both techniques are T-staging and detection of small metastases.
OBJECTIVE: To investigate the diagnostic value of whole-body magnetic resonance imaging (MRI) including diffusion-weighted imaging with background signal suppression (DWIBS) for preoperative assessment of non-small-cell lung cancer (NSCLC) in comparison to (18)F-fluorodeoxyglucose (18)FDG) positron emission tomography/computed tomography (PET/CT). METHODS: Thirty-three patients with suspected NSCLC were enrolled. Patients were examined before surgery with PET/CT and whole-body MRI including T1-weighted turbo spin echo (TSE), T2-weighted short tau inversion recovery (STIR) and DWIBS sequences (b = 0/800). Histological or cytological specimens were taken as standard of reference. RESULTS: Whole-body MRI with DWIBS as well as PET/CT provided diagnostic image quality in all cases. Sensitivity for primary tumour detection: MRI 93%, PET/CT 98%. T-staging accuracy: MRI 63%, PET/CT 56%. N-staging accuracy: MRI 66%, PET/CT 71%. UICC staging accuracy: MRI 66%, PET/CT 74%. Sensitivity for metastatic involvement of individual lymph node groups: MRI 44%, PET/CT 47%. Specificity for individual non-metastatic lymph node groups: MRI 93%, PET/CT 96%. Assessment accuracy for individual lymph node groups: MRI 85%, PET/CT 88%. Observer agreement rate for UICC staging: MRI 74%, PET/CT 90%. CONCLUSION: Whole-body MRI with DWIBS provides comparable results to PET/CT in staging of NSCLC, but shows no superiority. Most relevant challenges for both techniques are T-staging accuracy and sensitivity for metastatic lymph node involvement. KEY POINTS: Numerous radiological methods are available for the crucial staging of lung cancer. Whole-body DWIBS MRI provides comparable results to PET/CT in NSCLC staging. No evident superiority of whole-body DWIBS over PET/CT in NSCLC staging. Challenges for both techniques are T-staging and detection of small metastases.
Authors: Suzanne L Aquino; Landon B Kuester; Victorine V Muse; Elkan F Halpern; Alan J Fischman Journal: Eur J Nucl Med Mol Imaging Date: 2006-03-03 Impact factor: 9.236
Authors: Didier Lardinois; Walter Weder; Thomas F Hany; Ehab M Kamel; Stephan Korom; Burkhardt Seifert; Gustav K von Schulthess; Hans C Steinert Journal: N Engl J Med Date: 2003-06-19 Impact factor: 91.245
Authors: Julian Kirchner; Lino M Sawicki; Felix Nensa; Benedikt M Schaarschmidt; Henning Reis; Marc Ingenwerth; Simon Bogner; Clemens Aigner; Christian Buchbender; Lale Umutlu; Gerald Antoch; Ken Herrmann; Philipp Heusch Journal: Eur J Nucl Med Mol Imaging Date: 2018-08-03 Impact factor: 9.236