Lounis Hamzi
Overview
Explore the profile of Lounis Hamzi including associated specialties, affiliations and a list of published articles.
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Articles
36
Citations
344
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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.
Bousson V, Attane G, Benoist N, Perronne L, Diallo A, Hadid-Beurrier L, et al.
Acad Radiol
. 2023 Jul;
30(10):2118-2139.
PMID: 37468377
Rationale And Objectives: Interpreting radiographs in emergency settings is stressful and a burden for radiologists. The main objective was to assess the performance of three commercially available artificial intelligence (AI)...
6.
Pezel T, Dillinger J, Toupin S, Mirailles R, Logeart D, Cohen-Solal A, et al.
Diagn Interv Imaging
. 2023 Jun;
104(12):594-604.
PMID: 37353467
Purpose: The purpose of this study was to investigate the prognostic value of left atrioventricular coupling index (LACI) assessed by cardiac computed tomography (CT), to predict cardiovascular death in consecutive...
7.
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...
8.
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...
9.
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.
10.
Dohan A, Vargas O, Dautry R, Guerrache Y, Woimant F, Hamzi L, et al.
Abdom Radiol (NY)
. 2016 Apr;
41(9):1811-24.
PMID: 27116011
Hepatic involvement in Wilson disease (WD) manifests as a diffuse chronic disease in the majority of patients. However, in a subset of patients focal liver lesions may develop, presenting with...