Imperial College London
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Dr David L Constable-Phelps

Faculty of Medicine, Department of Metabolism, Digestion and Reproduction

Honorary Clinical Lecturer
 
 
 
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+44 (0)20 7594 2125d.phelps

 
 
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Summary

 

Publications

Citation

BibTex format

@article{Marcus:2022:10.3390/cancers14235892,
author = {Marcus, D and Phelps, DL and Savage, A and Balog, J and Kudo, H and Dina, R and Bodai, Z and Rosini, F and Ip, J and Amgheib, A and Abda, J and Manoli, E and McKenzie, J and Yazbek, J and Takats, Z and Ghaem-Maghami, S},
doi = {10.3390/cancers14235892},
journal = {Cancers},
pages = {1--14},
title = {Point-of-care diagnosis of endometrial cancer using the surgical intelligent knife (iknife)-a prospective pilot study of diagnostic accuracy},
url = {http://dx.doi.org/10.3390/cancers14235892},
volume = {14},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Introduction: Delays in the diagnosis and treatment of endometrial cancer negatively impact patient survival. The aim of this study was to establish whether rapid evaporative ionisation mass spectrometry using the iKnife can accurately distinguish between normal and malignant endometrial biopsy tissue samples in real time, enabling point-of-care (POC) diagnoses. Methods: Pipelle biopsy samples were obtained from consecutive women needing biopsies for clinical reasons. A Waters G2-XS Xevo Q-Tof mass spectrometer was used in conjunction with a modified handheld diathermy (collectively called the ‘iKnife’). Each tissue sample was processed with diathermy, and the resultant surgical aerosol containing ionic lipid species was then analysed, producing spectra. Principal component analyses and linear discriminant analyses were performed to determine variance in spectral signatures. Leave-one-patient-out cross-validation was used to test the diagnostic accuracy. Results: One hundred and fifty patients provided Pipelle biopsy samples (85 normal, 59 malignant, 4 hyperplasia and 2 insufficient), yielding 453 spectra. The iKnife differentiated between normal and malignant endometrial tissues on the basis of differential phospholipid spectra. Cross-validation revealed a diagnostic accuracy of 89% with sensitivity, specificity, positive predictive value and negative predictive value of 85%, 93%, 94% and 85%, respectively. Conclusions: This study is the first to use the iKnife to identify cancer in endometrial Pipelle biopsy samples. These results are highly encouraging and suggest that the iKnife could be used in the clinic to provide a POC diagnosis.
AU  - Marcus,D
AU  - Phelps,DL
AU  - Savage,A
AU  - Balog,J
AU  - Kudo,H
AU  - Dina,R
AU  - Bodai,Z
AU  - Rosini,F
AU  - Ip,J
AU  - Amgheib,A
AU  - Abda,J
AU  - Manoli,E
AU  - McKenzie,J
AU  - Yazbek,J
AU  - Takats,Z
AU  - Ghaem-Maghami,S
DO  - 10.3390/cancers14235892
EP  - 14
PY  - 2022///
SN  - 2072-6694
SP  - 1
TI  - Point-of-care diagnosis of endometrial cancer using the surgical intelligent knife (iknife)-a prospective pilot study of diagnostic accuracy
T2  - Cancers
UR  - http://dx.doi.org/10.3390/cancers14235892
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000896281900001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://www.mdpi.com/2072-6694/14/23/5892
UR  - http://hdl.handle.net/10044/1/104652
VL  - 14
ER  -
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