Document Detail


Breast cancer staging in a single session: whole-body PET/CT mammography.
MedLine Citation:
PMID:  18632831     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Our objective was to compare the diagnostic accuracy of an all-in-one protocol of whole-body 18F-FDG PET/CT and integrated 18F-FDG PET/CT mammography with the diagnostic accuracy of a multimodality algorithm for initial breast cancer staging. METHODS: Forty women (mean age, 58.3 y; range, 30.8-78.4 y; SD, 12 y) with suspected breast cancer were included. For the primary tumor, we compared 18F-FDG PET/CT mammography versus MRI mammography; for axillary lymph node status, 18F-FDG PET/CT versus clinical investigation and ultrasound; and for distant metastases, 18F-FDG PET/CT versus a multimodality staging algorithm. Histopathology and clinical follow-up served as the standard of reference. The Fisher exact test evaluated the significance of differences (P < 0.05). Alterations in patient management caused by 18F-FDG PET/CT were documented. RESULTS: No significant differences were found in the detection rate of breast cancer lesions (18F-FDG PET/CT, 95%; MRI, 100%; P = 1). 18F-FDG PET/CT correctly classified lesion focality significantly more often than did MRI (18F-FDG PET/CT, 79%; MRI, 73%; P < 0.001). MRI correctly defined the T stage significantly more often than did 18F-FDG PET/CT (MRI, 77%; 18F-FDG PET/CT, 54%; P = 0.001). 18F-FDG PET/CT detected axillary lymph node metastases in 80% of cases; clinical investigation/ultrasound, in 70%. This difference was not statistically significant (P = 0.067). Distant metastases were detected with 18F-FDG PET/CT in 100% of cases, and the multimodality algorithm identified distant metastases in 70%. This difference was not statistically significant (P = 1). Three patients had extraaxillary lymph node metastases that were detected only by PET/CT (cervical, retroperitoneal, mediastinal/internal mammary group). 18F-FDG PET/CT changed patient management in 12.5% of cases. CONCLUSION: Our data suggest that a whole-body 18F-FDG PET/CT mammography protocol may be used for staging breast cancer in a single session. This initial assessment of the 18F-FDG PET/CT protocol indicates similar accuracy to MRI for the detection of breast cancer lesions. Although MRI seems to be more accurate when assessing the T stage of the tumor, 18F-FDG PET/CT seems able to more accurately define lesion focality. Although 18F-FDG PET/CT mammography was able to detect axillary lymph node metastases with a high sensitivity, this method cannot soon be expected to replace the combination of clinical examination, ultrasound, and sentinel lymph node biopsy for axillary assessment.
Authors:
Till A Heusner; Sherko Kuemmel; Lale Umutlu; Angela Koeninger; Lutz S Freudenberg; Elke A M Hauth; Klaus R Kimmig; Michael Forsting; Andreas Bockisch; Gerald Antoch
Publication Detail:
Type:  Journal Article     Date:  2008-07-16
Journal Detail:
Title:  Journal of nuclear medicine : official publication, Society of Nuclear Medicine     Volume:  49     ISSN:  0161-5505     ISO Abbreviation:  J. Nucl. Med.     Publication Date:  2008 Aug 
Date Detail:
Created Date:  2008-08-01     Completed Date:  2008-10-14     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  0217410     Medline TA:  J Nucl Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1215-22     Citation Subset:  IM    
Affiliation:
Department of Diagnostic and Interventional Radiology and Neuroradiology, University Hospital Essen, University at Duisburg-Essen, Essen, Germany.
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MeSH Terms
Descriptor/Qualifier:
Adult
Aged
Breast Neoplasms / pathology,  radiography,  radionuclide imaging*
Female
Fluorodeoxyglucose F18 / diagnostic use
Humans
Lymph Nodes / pathology
Lymphatic Metastasis
Magnetic Resonance Imaging
Mammography
Middle Aged
Positron-Emission Tomography
Radiopharmaceuticals / diagnostic use
Tomography, X-Ray Computed
Whole Body Imaging
Chemical
Reg. No./Substance:
0/Radiopharmaceuticals; 63503-12-8/Fluorodeoxyglucose F18

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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