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European Radiology

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01.12.2011 | Musculoskeletal

Diagnosis of bone metastases: a meta-analysis comparing ¹⁸FDG PET, CT, MRI and bone scintigraphy

verfasst von: Hui-Lin Yang, Tao Liu, Xi-Ming Wang, Yong Xu, Sheng-Ming Deng

Erschienen in: European Radiology | Ausgabe 12/2011

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Abstract

Objective

To perform a meta-analysis to compare ¹⁸FDG PET, CT, MRI and bone scintigraphy (BS) for the diagnosis of bone metastases.

Methods

Databases including MEDLINE and EMBASE were searched for relevant original articles published from January 1995 to January 2010. Software was used to obtain pooled estimates of sensitivity, specificity and summary receiver operating characteristic curves (SROC).

Results

67 articles consisting of 145 studies fulfilled all inclusion criteria. On per-patient basis, the pooled sensitivity estimates for PET, CT, MRI and BS were 89.7%, 72.9%, 90.6% and 86.0% respectively. PET=MRI>BS>CT. (“=”indicated no significant difference, P > 0.05; “>” indicated significantly higher, P < 0.05). The pooled specificity estimates for PET, CT, MRI and BS were 96.8%, 94.8%, 95.4% and 81.4% respectively. PET = CT = MRI>BS. On per-lesion basis, the pooled sensitivity estimates for PET, CT, MRI and BS were 86.9%, 77.1%, 90.4% and 75.1% respectively. PET = MRI>BS>CT. The pooled specificity estimates for PET, CT, MRI and BS were 97.0%, 83.2%, 96.0% and 93.6% respectively. PET>MRI>BS>CT.

Conclusion

PET and MRI were found to be comparable and both significantly more accurate than CT and BS for the diagnosis of bone metastases.

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Titel: Diagnosis of bone metastases: a meta-analysis comparing 18FDG PET, CT, MRI and bone scintigraphy
verfasst von: Hui-Lin Yang
Tao Liu
Xi-Ming Wang
Yong Xu
Sheng-Ming Deng
Publikationsdatum: 01.12.2011
Verlag: Springer-Verlag
Erschienen in: European Radiology / Ausgabe 12/2011
Print ISSN: 0938-7994
Elektronische ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-011-2221-4

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Diagnosis of bone metastases: a meta-analysis comparing ¹⁸FDG PET, CT, MRI and bone scintigraphy

Abstract

Objective

Methods

Results

Conclusion

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