Imperial College London
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DrPaulaCunnea

Faculty of Medicine, Department of Surgery & Cancer

Advanced Research Fellow
 
 
 
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Contact

 

+44 (0)20 7594 1548p.cunnea

 
 
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Location

 

Institute of Reproductive and Developmental BiologyHammersmith Campus

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Summary

 

Publications

Citation

BibTex format

@article{Fotopoulou:2021:10.1038/s41416-021-01662-w,
author = {Fotopoulou, C and Rockall, A and Lu, H and Lee, P and Avesani, G and Russo, L and Petta, F and Ataseven, B and Waltering, K-U and Koch, JA and Crum, WR and Cunnea, P and Heitz, F and Harter, P and Aboagye, EO and du, Bois A and Prader, S},
doi = {10.1038/s41416-021-01662-w},
journal = {British Journal of Cancer},
pages = {1047--1054},
title = {Validation analysis of the novel imaging-based prognostic radiomic signature in patients undergoing primary surgery for advanced high-grade serous ovarian cancer (HGSOC)},
url = {http://dx.doi.org/10.1038/s41416-021-01662-w},
volume = {126},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - BackgroundPredictive models based on radiomics features are novel, highly promising approaches for gynaecological oncology. Here, we wish to assess the prognostic value of the newly discovered Radiomic Prognostic Vector (RPV) in an independent cohort of high-grade serous ovarian cancer (HGSOC) patients, treated within a Centre of Excellence, thus avoiding any bias in treatment quality.MethodsRPV was calculated using standardised algorithms following segmentation of routine preoperative imaging of patients (n = 323) who underwent upfront debulking surgery (01/2011-07/2018). RPV was correlated with operability, survival and adjusted for well-established prognostic factors (age, postoperative residual disease, stage), and compared to previous validation models.ResultsThe distribution of low, medium and high RPV scores was 54.2% (n = 175), 33.4% (n = 108) and 12.4% (n = 40) across the cohort, respectively. High RPV scores independently associated with significantly worse progression-free survival (PFS) (HR = 1.69; 95% CI:1.06–2.71; P = 0.038), even after adjusting for stage, age, performance status and residual disease. Moreover, lower RPV was significantly associated with total macroscopic tumour clearance (OR = 2.02; 95% CI:1.56–2.62; P = 0.00647).ConclusionsRPV was validated to independently identify those HGSOC patients who will not be operated tumour-free in an optimal setting, and those who will relapse early despite complete tumour clearance upfront. Further prospective, multicentre trials with a translational aspect are warranted for the incorporation of this radiomics approach into clinical routine.
AU  - Fotopoulou,C
AU  - Rockall,A
AU  - Lu,H
AU  - Lee,P
AU  - Avesani,G
AU  - Russo,L
AU  - Petta,F
AU  - Ataseven,B
AU  - Waltering,K-U
AU  - Koch,JA
AU  - Crum,WR
AU  - Cunnea,P
AU  - Heitz,F
AU  - Harter,P
AU  - Aboagye,EO
AU  - du,Bois A
AU  - Prader,S
DO  - 10.1038/s41416-021-01662-w
EP  - 1054
PY  - 2021///
SN  - 0007-0920
SP  - 1047
TI  - Validation analysis of the novel imaging-based prognostic radiomic signature in patients undergoing primary surgery for advanced high-grade serous ovarian cancer (HGSOC)
T2  - British Journal of Cancer
UR  - http://dx.doi.org/10.1038/s41416-021-01662-w
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000731367700001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.nature.com/articles/s41416-021-01662-w
UR  - http://hdl.handle.net/10044/1/93667
VL  - 126
ER  -
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