Imperial College London
Alternate

Professor the Lord Darzi of Denham PC KBE FRS FMedSci HonFREng

Faculty of Medicine, Department of Surgery & Cancer

Co-Director of the IGHI, Professor of Surgery
 
 
 
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Contact

 

+44 (0)20 3312 1310a.darzi

 
 
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Location

 

Queen Elizabeth the Queen Mother Wing (QEQM)St Mary's Campus

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Summary

 

Publications

Citation

BibTex format

@article{St:2016:10.1097/SLA.0000000000001897,
author = {St, John ER and Al-Khudairi, R and Ashrafian, H and Athanasiou, T and Takats, Z and Hadjiminas, DJ and Darzi, A and Leff, DR},
doi = {10.1097/SLA.0000000000001897},
journal = {Annals of Surgery},
pages = {300--310},
title = {Diagnostic accuracy of intraoperative techniques for margin assessment in breast cancer surgery: a meta-analysis},
url = {http://dx.doi.org/10.1097/SLA.0000000000001897},
volume = {265},
year = {2016}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - OBJECTIVE: The aim of this study was to conduct a systematic review and meta-analysis to clarify the diagnostic accuracy of intraoperative breast margin assessment (IMA) techniques against which the performance of emerging IMA technologies may be compared. SUMMARY OF BACKGROUND DATA: IMA techniques have failed to penetrate routine practice due to limitations, including slow reporting times, technical demands, and logistics. Emerging IMA technologies are being developed to reduce positive margin and re-excision rates and will be compared with the diagnostic accuracy of existing techniques. METHOD: Studies were identified using electronic bibliographic searches up to January 2016. MESH terms and all-field search terms included "Breast Cancer" AND "Intraoperative" AND "Margin." Only clinical studies with raw diagnostic accuracy data as compared with final permanent section histopathology were included. A bivariate model for diagnostic meta-analysis was used to attain overall pooled sensitivity and specificity. RESULTS: Eight hundred thirty-eight unique studies revealed 35 studies for meta-analysis. Pooled sensitivity (Sens), specificity (Spec), and area under the receiver operating characteristic curve (AUROC) values were calculated per group (Sens, Spec, AUROC): frozen section = 86%, 96%, 0.96 (n = 9); cytology = 91%, 95%, 0.98 (n = 11); intraoperative ultrasound = 59%, 81%, 0.78 (n = 4); specimen radiography = 53%, 84%, 0.73 (n = 9); optical spectroscopy = 85%, 87%, 0.88 (n = 3). CONCLUSIONS: Pooled data suggest that frozen section and cytology have the greatest diagnostic accuracy. However, these methods are resource intensive and turnaround times for results have prevented widespread international adoption. Emerging technologies need to compete with the diagnostic accuracy of existing techniques while offering advantages in terms of speed, cost, and reliability.
AU  - St,John ER
AU  - Al-Khudairi,R
AU  - Ashrafian,H
AU  - Athanasiou,T
AU  - Takats,Z
AU  - Hadjiminas,DJ
AU  - Darzi,A
AU  - Leff,DR
DO  - 10.1097/SLA.0000000000001897
EP  - 310
PY  - 2016///
SN  - 1528-1140
SP  - 300
TI  - Diagnostic accuracy of intraoperative techniques for margin assessment in breast cancer surgery: a meta-analysis
T2  - Annals of Surgery
UR  - http://dx.doi.org/10.1097/SLA.0000000000001897
UR  - http://hdl.handle.net/10044/1/38410
VL  - 265
ER  -
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