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Published in: Journal of Cancer Research and Clinical Oncology 3/2017

01-03-2017 | Review – Clinical Oncology

Detection of vertebral metastases: a meta-analysis comparing MRI, CT, PET, BS and BS with SPECT

Authors: Tao Liu, Shenghao Wang, Hao Liu, Bin Meng, Feng Zhou, Fan He, Xiaojian Shi, Huilin Yang

Published in: Journal of Cancer Research and Clinical Oncology | Issue 3/2017

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Abstract

Objective

To perform a meta-analysis to compare the diagnostic value of magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), bone scintigraphy (BS) and BS with single-photon emission computed tomography (SPECT) in detecting vertebral metastases.

Methods

Relevant original articles published from January 1995 to December 2015 were searched. Two reviewers independently extracted data. Software called “META-DiSc” was used to obtain pooled estimates of sensitivity, specificity, diagnostic odds ratio (DOR) and summary receiver operating characteristic (SROC) curves.

Results

Twenty-three articles consisting of 33 studies fulfilled all inclusion criteria. On per-patient basis, for sensitivity, MRI = PET = SPECT > CT = BS (“=” indicated no significant difference, P > 0.05; “>” indicated significantly higher, P < 0.05). For specificity, MRI = CT = BS > SPECT > PET. For DOR, MRI > SPECT > BS > CT = PET. SROC curves for SPECT and MRI showed better diagnostic accuracy than others. On per-lesion basis, for sensitivity, PET = SPECT = MRI > BS > CT. For specificity, MRI = CT > PET = SPECT = BS. For DOR, MRI > SPECT > CT = PET > BS. SROC curves showed MRI had the best while CT had the lowest diagnostic accuracy.

Conclusion

For diagnosis of vertebral metastases, MRI was found to be the best modality and also better than other techniques on both per-patient and per-lesion basis.
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Metadata
Title
Detection of vertebral metastases: a meta-analysis comparing MRI, CT, PET, BS and BS with SPECT
Authors
Tao Liu
Shenghao Wang
Hao Liu
Bin Meng
Feng Zhou
Fan He
Xiaojian Shi
Huilin Yang
Publication date
01-03-2017
Publisher
Springer Berlin Heidelberg
Published in
Journal of Cancer Research and Clinical Oncology / Issue 3/2017
Print ISSN: 0171-5216
Electronic ISSN: 1432-1335
DOI
https://doi.org/10.1007/s00432-016-2288-z

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