Jean Guillaume Dillinger
Overview
Explore the profile of Jean Guillaume Dillinger including associated specialties, affiliations and a list of published articles.
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9
Citations
89
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0
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Recent Articles
1.
Goncalves T, Garot J, Toupin S, Bousson V, Sanguineti F, Akodad M, et al.
Eur Radiol
. 2025 Feb;
PMID: 39920302
Objectives: We aimed to assess the additional prognostic value of the concept of "late gadolinium enhancement (LGE) granularity" in non-ischemic dilated cardiomyopathy (DCM) patients to predict all-cause death. Methods: Between...
2.
Gall E, Pezel T, Toupin S, Hovasse T, Unterseeh T, Chevalier B, et al.
Eur Radiol
. 2025 Jan;
PMID: 39853336
Objectives: To determine whether plaque composition analysis defined by cardiac CT can provide incremental prognostic value above coronary artery disease (CAD) burden markers in symptomatic patients with obstructive CAD. Materials...
3.
Pezel T, Toupin S, Bousson V, Hamzi K, Hovasse T, Lefevre T, et al.
Radiology
. 2025 Jan;
314(1):e233030.
PMID: 39807980
Background Multimodality imaging is essential for personalized prognostic stratification in suspected coronary artery disease (CAD). Machine learning (ML) methods can help address this complexity by incorporating a broader spectrum of...
4.
Unger A, Garot J, Toupin S, Duhamel S, Sanguineti F, Hovasse T, et al.
Radiology
. 2025 Jan;
314(1):e240806.
PMID: 39772797
Background Ischemic late gadolinium enhancement (LGE) assessed with cardiac MRI is a well-established prognosticator in ischemic cardiomyopathy. However, the prognostic value of additional LGE parameters, such as extent, transmurality, location,...
5.
Pezel T, Unterseeh T, Hovasse T, Sanguineti F, Garot P, Champagne S, et al.
J Cardiovasc Magn Reson
. 2023 Jun;
25(1):29.
PMID: 37308923
Background: Cardiovascular disease (CVD) is the main cause of mortality in patients with chronic kidney disease (CKD). Although several studies have demonstrated the consistently high prognostic value of stress cardiovascular...
6.
Machine-Learning Score Using Stress CMR for Death Prediction in Patients With Suspected or Known CAD
Pezel T, Sanguineti F, Garot P, Unterseeh T, Champagne S, Toupin S, et al.
JACC Cardiovasc Imaging
. 2022 Jul;
15(11):1900-1913.
PMID: 35842360
Background: In patients with suspected or known coronary artery disease, traditional prognostic risk assessment is based on a limited selection of clinical and imaging findings. Machine learning (ML) methods can...
7.
Nicol M, Siguret V, Vergaro G, Aimo A, Emdin M, Dillinger J, et al.
ESC Heart Fail
. 2021 Nov;
9(1):11-20.
PMID: 34784656
The assessment of both thromboembolic and haemorrhagic risks and their management in systemic amyloidosis have been poorly emphasized so far. This narrative review summarizes main evidence from literature with clinical...
8.
Dillinger J, Benmessaoud F, Pezel T, Voicu S, Sideris G, Chergui N, et al.
JACC Cardiovasc Imaging
. 2020 Nov;
13(11):2468-2470.
PMID: 33153535
No abstract available.
9.
El Sanharawi I, Barral M, Lenck S, Dillinger J, Salvan D, Mangin G, et al.
Ultraschall Med
. 2018 Oct;
41(4):428-438.
PMID: 30321881
Purpose: To assess the prognostic value of the wall shear stress (WSS) measured in the feeding native arteries upstream from facial superficial arteriovenous malformations (sAVMs). Reliable prognostic criteria are needed...
10.
Spagnoli V, Dautry R, Dillinger J, Henry P
BMJ Case Rep
. 2017 Aug;
2017.
PMID: 28821483
No abstract available.