Philippe Soyer

Prof. Philippe Soyer

orcid

Research Focus & Metrics

Academic Career Length

34Years (1993-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2020 in Diagnostic and Interventional Imaging
Verified
Journal Article
Closed access
MBM. Benchoufi
M. Benchoufi
EME. Matzner-Lober
E. Matzner-Lober
NMN. Molinari
N. Molinari
AJA.-S. Jannot
A.-S. Jannot
PSPhilippe Soyer
Philippe Soyer

1 November 2022 in Radiology
Verified
Journal Article
Closed access
TLThierry L. Lefebvre
Thierry L. Lefebvre
YUYoshiko Ueno
Yoshiko Ueno
Anthony DohanAnthony Dohan
Anthony Dohan
ACAvishek Chatterjee
Avishek Chatterjee
MVMartin Vallières
Martin Vallières
CRCaroline Reinhold
Caroline Reinhold
Three-dimensional radiomics-based machine learning models can stratify women with endometrial carcinoma at preoperative multiparametric MRI based on high-risk histopathologic features and can ident... Background Stratifying high-risk histopathologic features in endometrial carcinoma is important for treatment planning. Radiomics analysis at preoperative MRI holds potential to identify high-risk ...

9 November 2022 in Japanese Journal of Radiology
Verified
Journal Article
Closed access
PDF file
CGChassagnon Guillaume
Chassagnon Guillaume
CMConstance De Margerie-Mellon
Constance De Margerie-Mellon
MVMaria Vakalopoulou
Maria Vakalopoulou
RMRafael Marini
Rafael Marini
THtrieu-nghi HOANG-THI
trieu-nghi HOANG-THI
PSPhilippe Soyer
Philippe Soyer

4 August 2022 in Diagnostic and Interventional Imaging
Verified
Journal Article
Closed access
BKBenjamin D. Katzman
Benjamin D. Katzman
CPChristian B. van der Pol
Christian B. van der Pol
PSPhilippe Soyer
Philippe Soyer
MPMichael N. Patlas
Michael N. Patlas

1 January 2014 in Diagnostic and Interventional Imaging
Verified
Journal Article
Closed access
ADA. Dohan
A. Dohan
YGY. Guerrache
Y. Guerrache
MBM. Boudiaf
M. Boudiaf
JGJ.-P. Gavini
J.-P. Gavini
RKR. Kaci
R. Kaci
PSPhilippe Soyer
Philippe Soyer

1 March 2010 in Radiology
Verified
Journal Article
Closed access
PSPhilippe Soyer
Philippe Soyer
MBMourad Boudiaf
Mourad Boudiaf
MSMarc Sirol
Marc Sirol
XDXavier Dray
Xavier Dray
MAMounir Aout
Mounir Aout
RRRoland Rymer
Roland Rymer
To determine the utility of computed tomographic (CT) enteroclysis for characterization of the status of the anastomotic site in patients with Crohn disease who had previously undergone ileocolic resection. Written informed consent was prospectively obtained from all patients, and the institutional review board approved the study protocol. CT enteroclysis findings in 40 patients with Crohn disease who had previously undergone ileocolic resection were evaluated independently by two readers. Endoscopic findings, histopathologic findings, and/or the Crohn disease activity index was the reference standard. Interobserver agreement between the two readers was calculated with kappa statistics. Associations between CT enteroclysis findings and anastomotic site status were assessed at univariate analysis. The sensitivity, specificity, and accuracy of CT enteroclysis, with corresponding 95% confidence intervals (CIs), for the diagnosis of normal versus abnormal anastomosis and the diagnosis of anastomotic recurrence versus fibrostenosis were estimated. Interobserver agreement regarding CT enteroclysis criteria was good to perfect (kappa = 0.72-1.00). At univariate analysis, stratification and anastomotic wall thickening were the two most discriminating variables in the differentiation between normal and abnormal anastomoses (P < .001). Stratification (P < .001) and the comb sign (P = .026) were the two most discriminating variables in the differentiation between anastomotic recurrence and fibrostenosis. In the diagnosis of anastomotic recurrence, severe anastomotic stenosis was the most sensitive finding (95% [20 of 21 patients]; 95% CI: 76.18%, 99.88%), both comb sign and stratification had 95% specificity (18 of 19 patients; 95% CI: 73.97%, 99.87%), and stratification was the most accurate finding (92% [37 of 40 patients]; 95% CI: 79.61%, 98.43%). In the diagnosis of fibrostenosis, both severe anastomotic stenosis and anastomotic wall thickening were 100% sensitive (eight of eight patients; 95% CI: 63.06%, 100.00%), and using an association among five categorical variables, including severe anastomotic stenosis, anastomotic wall thickening with normal or mild mucosal enhancement, absence of comb sign, and absence of fistula, yielded 88% sensitivity (seven of eight patients; 95% CI: 47.35%, 99.68%), 97% specificity (31 of 32 patients; 95% CI: 83.78%, 99.92%), and 95% accuracy (38 of 40 patients; 95% CI: 83.08%, 99.39%). CT enteroclysis yields objective and relatively specific morphologic criteria that help differentiate between recurrent disease and fibrostenosis at the anastomotic site after ileocolic resection for Crohn disease. http://radiology.rsna.org/lookup/suppl/doi:10.1148/radiol.09091165/-/DC1.