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De Leeuw A, Abidi S, Scarciolla L, Petersbourg D, Putman S, Cotten A. Patellar Instability: Imaging Findings. Semin Musculoskelet Radiol 2024; 28:257-266. [PMID: 38768591 DOI: 10.1055/s-0044-1785538] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/22/2024]
Abstract
Patellofemoral instability results from impaired engagement of the patella in the trochlear groove at the start of flexion and may lead to pain and lateral patellar dislocation. It occurs most frequently in adolescents and young adults during sporting activities. Trochlear dysplasia, patella alta, and excessive lateralization of the tibial tuberosity are the most common risk factors for patellar instability. The main role of imaging is to depict and assess these anatomical factors and highlight features indicating previous lateral dislocation of the patella.
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Affiliation(s)
- Anthony De Leeuw
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
| | - Souhir Abidi
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
| | - Laura Scarciolla
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
| | - Dunkan Petersbourg
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
| | - Sophie Putman
- Department of Orthopedic Surgery, University of Lille, CHU Lille, Lille, France
| | - Anne Cotten
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
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Badr S, Cotten A, Mentaverri R, Lombardo D, Labreuche J, Martin C, Hénaut L, Cortet B, Paccou J. Relationship between bone marrow adipose tissue and kidney function in postmenopausal women. Bone Rep 2023; 19:101713. [PMID: 37711545 PMCID: PMC10498167 DOI: 10.1016/j.bonr.2023.101713] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/11/2023] [Revised: 08/08/2023] [Accepted: 09/03/2023] [Indexed: 09/16/2023] Open
Abstract
Introduction Bone marrow adipose tissue (BMAT) is associated with aging, osteoporosis, and chronic kidney disease (CKD). To date, the association between BMAT and kidney function in postmenopausal women has not been thoroughly investigated. The main purpose of this study was to determine whether a relationship exists between proton density fat fraction (PDFF) and kidney function in postmenopausal women. Methods We investigated the cross-sectional association between estimated glomerular filtration rate (eGFR) - calculated using the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation - and PDFF - measured at the lumbar spine and proximal femur using Water Fat Imaging (WFI) MRI - in 199 postmenopausal women from the ADIMOS cohort study. We also performed DXA scans and laboratory measurements of sclerostin and c-terminal Fibroblast Growth Factor 23 (cFGF23). Results Participants' mean age was 67.5 (standard deviation, SD 10.0) years. Their median eGFR was 85.0 (interquartile range, IQR 72.2-95.0) ml/min/1.73 cm2, and their mean lumbar spine PDFF was 57.9 % (SD 9.6). When classified by eGFR-based CKD stages, 41.7 % of the cohort had an eGFR ≥ 90 (n = 83), 47.2 % had an eGFR of 60-89.9 (n = 94), and 11.1 % had an eGFR of 30-59.9 (n = 22). Participants with eGFR ≥ 90 had a lower lumbar spine PDFF than those with eGFR 60-89.9 (mean 55.8 % (9.8) vs. 58.9 % (9.0), p = 0.031) and those with eGFR 30-59.9 (55.8 % (9.8) vs. 60.8 % (9.8), p = 0.043). However, the differences did not remain significant after adjusting for predetermined confounders, including age, diabetes, Charlson comorbidity index, recent history of fragility fracture, appendicular lean mass, and lumbar spine BMD. The inclusion of sclerostin and/or cFGF23 as suspected mediators did not alter the findings. When proximal hip imaging-based PDFF was considered, no significant differences were found between the eGFR categories in the unadjusted and adjusted analyses. Conclusion No evidence of an association between kidney function and bone marrow adiposity was found either in the lumbar spine or proximal femur in a cohort of postmenopausal women.
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Affiliation(s)
- Sammy Badr
- Univ. Lille, CHU Lille, MABlab ULR 4490, Department of Radiology and Musculoskeletal Imaging, F-59000 Lille, France
| | - Anne Cotten
- Univ. Lille, CHU Lille, MABlab ULR 4490, Department of Radiology and Musculoskeletal Imaging, F-59000 Lille, France
| | - Romuald Mentaverri
- UR UPJV 7517, Pathophysiological Mechanisms and Consequences of Cardiovascular Calcifications (MP3CV), Picardie Jules Verne University, 80025 Amiens, France
| | - Daniela Lombardo
- Univ. Lille, CHU Lille, MABlab ULR 4490, Department of Rheumatology, F-59000 Lille, France
| | | | - Claire Martin
- CHU Lille, Department of Biostatistics, F-59000 Lille, France
| | - Lucie Hénaut
- UR UPJV 7517, Pathophysiological Mechanisms and Consequences of Cardiovascular Calcifications (MP3CV), Picardie Jules Verne University, 80025 Amiens, France
| | - Bernard Cortet
- Univ. Lille, CHU Lille, MABlab ULR 4490, Department of Rheumatology, F-59000 Lille, France
| | - Julien Paccou
- Univ. Lille, CHU Lille, MABlab ULR 4490, Department of Rheumatology, F-59000 Lille, France
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Jacques T, Cardot N, Ventre J, Demondion X, Cotten A. Commercially-available AI algorithm improves radiologists' sensitivity for wrist and hand fracture detection on X-ray, compared to a CT-based ground truth. Eur Radiol 2023:10.1007/s00330-023-10380-1. [PMID: 37919408 DOI: 10.1007/s00330-023-10380-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2022] [Revised: 09/25/2023] [Accepted: 09/27/2023] [Indexed: 11/04/2023]
Abstract
OBJECTIVES Algorithms for fracture detection are spreading in clinical practice, but the use of X-ray-only ground truth can induce bias in their evaluation. This study assessed radiologists' performances to detect wrist and hand fractures on radiographs, using a commercially-available algorithm, compared to a computerized tomography (CT) ground truth. METHODS Post-traumatic hand and wrist CT and concomitant X-ray examinations were retrospectively gathered. Radiographs were labeled based on CT findings. The dataset was composed of 296 consecutive cases: 118 normal (39.9%), 178 pathological (60.1%) with a total of 267 fractures visible in CT. Twenty-three radiologists with various levels of experience reviewed all radiographs without AI, then using it, blinded towards CT results. RESULTS Using AI improved radiologists' sensitivity (Se, 0.658 to 0.703, p < 0.0001) and negative predictive value (NPV, 0.585 to 0.618, p < 0.0001), without affecting their specificity (Sp, 0.885 vs 0.891, p = 0.91) or positive predictive value (PPV, 0.887 vs 0.899, p = 0.08). On the radiographic dataset, based on the CT ground truth, stand-alone AI performances were 0.771 (Se), 0.898 (Sp), 0.684 (NPV), 0.915 (PPV), and 0.764 (AUROC) which were lower than previously reported, suggesting a potential underestimation of the number of missed fractures in the AI literature. CONCLUSIONS AI enabled radiologists to improve their sensitivity and negative predictive value for wrist and hand fracture detection on radiographs, without affecting their specificity or positive predictive value, compared to a CT-based ground truth. Using CT as gold standard for X-ray labels is innovative, leading to algorithm performance poorer than reported elsewhere, but probably closer to clinical reality. CLINICAL RELEVANCE STATEMENT Using an AI algorithm significantly improved radiologists' sensitivity and negative predictive value in detecting wrist and hand fractures on radiographs, with ground truth labels based on CT findings. KEY POINTS • Using CT as a ground truth for labeling X-rays is new in AI literature, and led to algorithm performance significantly poorer than reported elsewhere (AUROC: 0.764), but probably closer to clinical reality. • AI enabled radiologists to significantly improve their sensitivity (+ 4.5%) and negative predictive value (+ 3.3%) for the detection of wrist and hand fractures on X-rays. • There was no significant change in terms of specificity or positive predictive value.
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Affiliation(s)
- Thibaut Jacques
- Department of Musculoskeletal Radiology, Lille University Hospital, Rue du Professeur Emile Laine, 59000, Lille, France.
- IRIS Radiology - Clinique Lille Sud, SOS Hands and Fingers, 96 Rue Gustave Delory, 59810, Lesquin, France.
| | - Nicolas Cardot
- Department of Musculoskeletal Radiology, Lille University Hospital, Rue du Professeur Emile Laine, 59000, Lille, France
| | | | - Xavier Demondion
- Department of Musculoskeletal Radiology, Lille University Hospital, Rue du Professeur Emile Laine, 59000, Lille, France
- Lille University School of Medicine, 59000, Lille, France
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Lille University Hospital, Rue du Professeur Emile Laine, 59000, Lille, France
- Lille University School of Medicine, 59000, Lille, France
- MABLab - Marrow Adiposity and Bone Lab ULR4490, University of Lille, 59000, Lille, France
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Cotten A, Henry S, Scarciolla L, Abou Diwan R, Demondion X, Badr S. Crystal Diseases of the Spine. Semin Musculoskelet Radiol 2023; 27:545-552. [PMID: 37816362 DOI: 10.1055/s-0043-1770763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/12/2023]
Abstract
Gout, calcium pyrophosphate deposition disease, and apatite calcifications, the three main crystal disorders, may involve the spine. These disorders can be completely asymptomatic or associated with various clinical symptoms, such as acute flares and more chronic manifestations. This article presents the typical and more unusual imaging features encountered in these disorders.
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Affiliation(s)
- Anne Cotten
- CHU Lille, Service de Radiologie et Imagerie Musculosquelettique, Lille, France
- University of Lille, MABlab ULR 4490, Lille, France
| | - Simon Henry
- CHU Lille, Service de Radiologie et Imagerie Musculosquelettique, Lille, France
| | - Laura Scarciolla
- CHU Lille, Service de Radiologie et Imagerie Musculosquelettique, Lille, France
| | - Ralph Abou Diwan
- CHU Lille, Service de Radiologie et Imagerie Musculosquelettique, Lille, France
| | - Xavier Demondion
- CHU Lille, Service de Radiologie et Imagerie Musculosquelettique, Lille, France
- University of Lille, CHU Lille, Unité de Taphonomie Médicolégale & d'Anatomie, Lille, France
| | - Sammy Badr
- CHU Lille, Service de Radiologie et Imagerie Musculosquelettique, Lille, France
- University of Lille, MABlab ULR 4490, Lille, France
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Belkouchi Y, Lederlin M, Ben Afia A, Fabre C, Ferretti G, De Margerie C, Berge P, Liberge R, Elbaz N, Blain M, Brillet PY, Chassagnon G, Cadour F, Caramella C, Hajjam ME, Boussouar S, Hadchiti J, Fablet X, Khalil A, Luciani A, Cotten A, Meder JF, Talbot H, Lassau N. Detection and quantification of pulmonary embolism with artificial intelligence: The SFR 2022 artificial intelligence data challenge. Diagn Interv Imaging 2023; 104:485-489. [PMID: 37321875 DOI: 10.1016/j.diii.2023.05.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2023] [Revised: 05/29/2023] [Accepted: 05/31/2023] [Indexed: 06/17/2023]
Abstract
PURPOSE In 2022, the French Society of Radiology together with the French Society of Thoracic Imaging and CentraleSupelec organized their 13th data challenge. The aim was to aid in the diagnosis of pulmonary embolism, by identifying the presence of pulmonary embolism and by estimating the ratio between right and left ventricular (RV/LV) diameters, and an arterial obstruction index (Qanadli's score) using artificial intelligence. MATERIALS AND METHODS The data challenge was composed of three tasks: the detection of pulmonary embolism, the RV/LV diameter ratio, and Qanadli's score. Sixteen centers all over France participated in the inclusion of the cases. A health data hosting certified web platform was established to facilitate the inclusion process of the anonymized CT examinations in compliance with general data protection regulation. CT pulmonary angiography images were collected. Each center provided the CT examinations with their annotations. A randomization process was established to pool the scans from different centers. Each team was required to have at least a radiologist, a data scientist, and an engineer. Data were provided in three batches to the teams, two for training and one for evaluation. The evaluation of the results was determined to rank the participants on the three tasks. RESULTS A total of 1268 CT examinations were collected from the 16 centers following the inclusion criteria. The dataset was split into three batches of 310, 580 and 378 C T examinations provided to the participants respectively on September 5, 2022, October 7, 2022 and October 9, 2022. Seventy percent of the data from each center were used for training, and 30% for the evaluation. Seven teams with a total of 48 participants including data scientists, researchers, radiologists and engineering students were registered for participation. The metrics chosen for evaluation included areas under receiver operating characteristic curves, specificity and sensitivity for the classification task, and the coefficient of determination r2 for the regression tasks. The winning team achieved an overall score of 0.784. CONCLUSION This multicenter study suggests that the use of artificial intelligence for the diagnosis of pulmonary embolism is possible on real data. Moreover, providing quantitative measures is mandatory for the interpretability of the results, and is of great aid to the radiologists especially in emergency settings.
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Affiliation(s)
- Younes Belkouchi
- OPIS, CentraleSupelec, Inria, Université Paris-Saclay, 91190 Gif-Sur-Yvette, France; Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France.
| | | | - Amira Ben Afia
- Department of Radiology, APHP Nord, Hôpital Bichat, 75018 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Clement Fabre
- Department of Radiology, Centre Hospitalier de Laval, 53000 Laval, France
| | - Gilbert Ferretti
- Universite Grenobles Alpes, Service de Radiologie et Imagerie Médicale, CHU Grenoble-Alpes, 38000 Grenoble, France
| | - Constance De Margerie
- Department of Radiology, Assistance Publique-Hôpitaux de Paris, Hôpital Saint-Louis, 75010 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Pierre Berge
- Department of Radiology, CHU Angers, 49000 Angers, France
| | - Renan Liberge
- Department of Radiology, CHU Nantes, 44000 Nantes, France
| | - Nicolas Elbaz
- Department of Radiology, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France
| | - Maxime Blain
- Department of Radiology, Hopital Henri Mondor, AP-HP, 94000 Créteil, France
| | - Pierre-Yves Brillet
- Department of Radiology, Hôpital Avicenne, Paris 13 University, 93000 Bobigny, France
| | - Guillaume Chassagnon
- Department of Radiology, Hopital Cochin, APHP, 75014 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Farah Cadour
- APHM, Hôpital Universitaire Timone, CEMEREM, 13005 Marseille, France
| | - Caroline Caramella
- Department of Radiology, Groupe hospitalier Paris Saint-Joseph, Île-de-France, 75015 Paris, France
| | - Mostafa El Hajjam
- Department of Radiology, Ambroise Paré Hospital GH AP-HP Paris Saclay, UMR 1179 INSERM/UVSQ, Team 3, 92100 Boulogne-Billancourt, France
| | - Samia Boussouar
- Sorbonne Université, APHP, Hôpital La Pitié-Salpêtrière, Unité d'Imagerie Cardiovasculaire et Thoracique (ICT), 75013 Paris, France
| | - Joya Hadchiti
- Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France
| | - Xavier Fablet
- Department of Radiology, CHU Rennes, 35000 Rennes, France
| | - Antoine Khalil
- Department of Radiology, APHP Nord, Hôpital Bichat, 75018 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Alain Luciani
- Medical Imaging Department, AP-HP, Henri Mondor University Hospital, 94000 Créteil, France; INSERM, U955, Team 18, 94000 Créteil, France
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Univ. Lille, CHU Lille, MABlab ULR 4490, 59000 Lille, France
| | - Jean-Francois Meder
- Department of Neuroimaging, Sainte-Anne Hospital, 75013 Paris, France; Université Paris Cité, 75006 Paris, France
| | - Hugues Talbot
- OPIS, CentraleSupelec, Inria, Université Paris-Saclay, 91190 Gif-Sur-Yvette, France
| | - Nathalie Lassau
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, BIOMAPS, UMR 1281, Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France
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6
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Paccou J, Badr S, Lombardo D, Khizindar H, Deken V, Ruschke S, Karampinos DC, Cotten A, Cortet B. Bone Marrow Adiposity and Fragility Fractures in Postmenopausal Women: The ADIMOS Case-Control Study. J Clin Endocrinol Metab 2023; 108:2526-2536. [PMID: 37017011 DOI: 10.1210/clinem/dgad195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 03/03/2023] [Accepted: 04/03/2023] [Indexed: 04/06/2023]
Abstract
CONTEXT Noninvasive assessment of proton density fat fraction (PDFF) by magnetic resonance imaging (MRI) may improve the prediction of fractures. OBJECTIVE This work aimed to determine if an association exists between PDFF and fractures. METHODS A case-control study was conducted at Lille University Hospital, Lille, France, with 2 groups of postmenopausal women: one with recent osteoporotic fractures, and the other with no fractures. Lumbar spine and proximal femur (femoral head, neck, and diaphysis) PDFF were determined using chemical shift-based water-fat separation MRI (WFI) and dual-energy x-ray absorptiometry scans of the lumbar spine and hip. Our primary objective was to determine the relationship between lumbar spine PDFF and osteoporotic fractures in postmenopausal women. Analysis of covariance was used to compare PDFF measurements between patient cases (overall and according to the type of fracture) and controls, after adjusting for age, Charlson comorbidity index (CCI) and BMD. RESULTS In 199 participants, controls (n = 99) were significantly younger (P < .001) and had significantly higher BMD (P < 0.001 for all sites) than patient cases (n = 100). A total of 52 women with clinical vertebral fractures and 48 with nonvertebral fractures were included. When PDFFs in patient cases and controls were compared, after adjustment on age, CCI, and BMD, no statistically significant differences between the groups were found at the lumbar spine or proximal femur. When PDFFs in participants with clinical vertebral fractures (n = 52) and controls were compared, femoral neck PDFF and femoral diaphysis PDFF were detected to be lower in participants with clinical vertebral fractures than in controls (adjusted mean [SE] 79.3% [1.2] vs 83.0% [0.8]; P = 0.020, and 77.7% [1.4] vs 81.6% [0.9]; P = 0.029, respectively). CONCLUSION No difference in lumbar spine PDFF was found between those with osteoporotic fractures and controls. However, imaging-based proximal femur PDFF may discriminate between postmenopausal women with and without clinical vertebral fractures, independently of age, CCI, and BMD.
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Affiliation(s)
- Julien Paccou
- Department of Rheumatology, University Lille, CHU Lille, MABlab ULR 4490, F-59000 Lille, France
| | - Sammy Badr
- Department of Radiology and Musculoskeletal Imaging, University Lille, CHU Lille, MABlab ULR 4490, F-59000 Lille, France
| | - Daniela Lombardo
- Department of Rheumatology, University Lille, CHU Lille, MABlab ULR 4490, F-59000 Lille, France
| | - Huda Khizindar
- Department of Radiology and Musculoskeletal Imaging, University Lille, CHU Lille, MABlab ULR 4490, F-59000 Lille, France
| | - Valérie Deken
- METRICS: Évaluation des technologies de santé et des pratiques médicales, University Lille, CHU Lille, ULR 2694, F-59000 Lille, France
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, School of Medicine, Technical University of Munich, 81675 Munich, Germany
| | - Anne Cotten
- Department of Radiology and Musculoskeletal Imaging, University Lille, CHU Lille, MABlab ULR 4490, F-59000 Lille, France
| | - Bernard Cortet
- Department of Rheumatology, University Lille, CHU Lille, MABlab ULR 4490, F-59000 Lille, France
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7
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Cerezal L, Del Piñal F, Atzei A, Schmitt R, Becce F, Klich M, Bień M, de Jonge MC, Teh J, Boutin RD, Toms AP, Omoumi P, Fritz J, Bazzocchi A, Shahabpour M, Zanetti M, Llopis E, Blum A, Lalam RK, Reto S, Afonso PD, Mascarenhas VV, Cotten A, Drapé JL, Bierry G, Pracoń G, Dalili D, Mespreuve M, Garcia-Elias M, Bain GI, Mathoulin CL, Van Overstraeten L, Szabo RM, Camus EJ, Luchetti R, Chojnowski AJ, Gruenert JG, Czarnecki P, Corella F, Nagy L, Yamamoto M, Golubev IO, van Schoonhoven J, Goehtz F, Sudoł-Szopińska I, Dietrich TJ. Interdisciplinary consensus statements on imaging of DRUJ instability and TFCC injuries. Eur Radiol 2023; 33:6322-6338. [PMID: 37191922 DOI: 10.1007/s00330-023-09698-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 03/09/2023] [Accepted: 04/05/2023] [Indexed: 05/17/2023]
Abstract
OBJECTIVES The purpose of this agreement was to establish evidence-based consensus statements on imaging of distal radioulnar joint (DRUJ) instability and triangular fibrocartilage complex (TFCC) injuries by an expert group using the Delphi technique. METHODS Nineteen hand surgeons developed a preliminary list of questions on DRUJ instability and TFCC injuries. Radiologists created statements based on the literature and the authors' clinical experience. Questions and statements were revised during three iterative Delphi rounds. Delphi panelists consisted of twenty-seven musculoskeletal radiologists. The panelists scored their degree of agreement to each statement on an 11-item numeric scale. Scores of "0," "5," and "10" reflected complete disagreement, indeterminate agreement, and complete agreement, respectively. Group consensus was defined as a score of "8" or higher for 80% or more of the panelists. RESULTS Three of fourteen statements achieved group consensus in the first Delphi round and ten statements achieved group consensus in the second Delphi round. The third and final Delphi round was limited to the one question that did not achieve group consensus in the previous rounds. CONCLUSIONS Delphi-based agreements suggest that CT with static axial slices in neutral rotation, pronation, and supination is the most useful and accurate imaging technique for the work-up of DRUJ instability. MRI is the most valuable technique in the diagnosis of TFCC lesions. The main indication for MR arthrography and CT arthrography are Palmer 1B foveal lesions of the TFCC. CLINICAL RELEVANCE STATEMENT MRI is the method of choice for assessing TFCC lesions, with higher accuracy for central than peripheral abnormalities. The main indication for MR arthrography is the evaluation of TFCC foveal insertion lesions and peripheral non-Palmer injuries. KEY POINTS • Conventional radiography should be the initial imaging technique in the assessment of DRUJ instability. CT with static axial slices in neutral rotation, pronation, and supination is the most accurate method for evaluating DRUJ instability. • MRI is the most useful technique in diagnosing soft-tissue injuries causing DRUJ instability, especially TFCC lesions. • The main indications for MR arthrography and CT arthrography are foveal lesions of the TFCC.
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Affiliation(s)
- Luis Cerezal
- Radiology Department, Diagnóstico Médico Cantabria (DMC), Castilla 6-Bajo, 39002, Santander, Spain.
| | - Francisco Del Piñal
- Instituto de Cirugía Plástica Y de La Mano, Serrano 58 1B, 28001, Madrid, Spain
| | - Andrea Atzei
- Pro-Mano, Treviso, Italy
- Ospedale Koelliker, Corso G. Ferraris 247, 10134, Torino, Italy
| | - Rainer Schmitt
- Department of Radiology, University Hospital LMU Munich, Ziemssenstraße 5, 80336, München, Germany
- Department of Radiology, University Hospital Würzburg, Oberdürrbacher Straße 6, 97080, Würzburg, Germany
| | - Fabio Becce
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland
- University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Maciej Klich
- Department of Traumatology and Orthopaedics, Postgraduate Medical Center, A. Gruca Teaching Hospital, Otwock, Poland
| | - Maciej Bień
- Gamma Medical Center, Broniewskiego 3, 01-785, Warsaw, Poland
| | - Milko C de Jonge
- Department of Radiology, St. Antonius Hospital Utrecht, Utrecht, The Netherlands
| | - James Teh
- Department of Radiology, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Robert Downey Boutin
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, MC-5105, Stanford, CA, 94305, USA
| | - Andoni Paul Toms
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - Patrick Omoumi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Jan Fritz
- Department of Radiology, New York University Grossman School of Medicine, NYU Langone Health, 660 First Avenue, New York, NY, 10016, USA
| | - Alberto Bazzocchi
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Via G. C. Pupilli 1, 40136, Bologna, Italy
| | - Maryam Shahabpour
- Department of Radiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Marco Zanetti
- Kantonsspital Baden, Im Ergel 1, CH-5404, Baden, Switzerland
| | - Eva Llopis
- Hospital de La Ribera. IMSKE. Valencia, Paseo Ciudadela 13, 46003, Valencia, Spain
| | - Alain Blum
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, UDL, 29 Avenue du Maréchal de Lattre de Tassigny, 54035, Nancy, France
| | - Radhesh Krishna Lalam
- Department of Radiology, Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, UK
| | - Sutter Reto
- Balgrist University Hospital, University of Zurich, Forchstrasse 340, CH-8008 Radiology, Zurich, Switzerland
- Faculty of Medicine, University of Zurich, Pestalozzistrasse 3, 8091, Zurich, Switzerland
| | - P Diana Afonso
- Imaging Center, Radiology Department, Musculoskeletal Imaging Unit, Hospital da Luz, Grupo Luz Saúde, Av. Lusiada 100, 1500-650, Lisbon, Portugal
- Hospital Particular da Madeira, HPA, Madeira, Portugal
| | - Vasco V Mascarenhas
- Imaging Center, Radiology Department, Musculoskeletal Imaging Unit, Hospital da Luz, Grupo Luz Saúde, Av. Lusiada 100, 1500-650, Lisbon, Portugal
- AIRC, Advanced Imaging Research Consortium, Lisbon, Portugal
| | - Anne Cotten
- Musculoskeletal Radiology Department, Lille University Hospital Center, 59037, Lille, France
- Lille University School of Medicine, Lille, France
| | - Jean-Luc Drapé
- Service de Radiologie B, AP-HP Centre, Groupe Hospitalier Cochin, Université de Paris, 75014, Paris, France
| | - Guillaume Bierry
- MSK Imaging, University Hospital, 1 Avenue Molière, 67098, Strasbourg Cedex, France
| | - Grzegorz Pracoń
- Gamma Medical Center, Broniewskiego 3, 01-785, Warsaw, Poland
| | - Danoob Dalili
- Academic Surgical Unit, South West London Elective Orthopaedic Centre (SWLEOC), Dorking Road, Epsom, KT18 7EG, London, UK
| | - Marc Mespreuve
- Department of Medical Imaging, University Hospital Ghent, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Marc Garcia-Elias
- Hand and Upper Extremity Surgery, Creu Blanca, Pº Reina Elisenda 57, 08022, Barcelona, Spain
| | - Gregory Ian Bain
- Department of Orthopaedic Surgery, Flinders Medical Centre and Flinders University, Adelaide, South, Australia
| | | | - Luc Van Overstraeten
- Hand and Foot Surgery Unit (HFSU) SPRL, Rue Pierre Caille 9, 7500, Tournai, Belgium
- Department of Orthopaedics and Traumatology, Erasme University Hospital, Route de Lennik 808, Brussels, Belgium
| | - Robert M Szabo
- Department of Orthopaedic Surgery, Health System, University of California Davis, 4800 Y Street, Sacramento, CA, 95817, USA
| | - Emmanuel J Camus
- IMPPACT Hand Surgery Unit, Clinique de Lille Sud, 94 Bis Rue Gustave Delory, Lesquin, France
- Laboratoire d'anatomie Fonctionnelle, ULB, Bruxelles, Belgium
| | | | - Adrian Julian Chojnowski
- Orthopaedics and Trauma Department, Hand and Upper Limb Surgery, Norfolk and Norwich University NHS Trust Hospital, Colney Lane, Norwich, NR4 7UY, UK
| | - Joerg G Gruenert
- Department of Hand and Plastic Surgery Berit Klinik, Klosterstrasse 19, 9403, Goldach, Switzerland
| | - Piotr Czarnecki
- Traumatology, Orthopaedics and Hand Surgery, Poznan University of Medical Sciences, Ul. 28 Czerwca 1956R. Nr 135/147, 61-545, Poznań, Poland
| | - Fernando Corella
- Orthopedic and Trauma Department. Hospital, Universitario Infanta Leonor, C/ Gran Vía del Este N° 80, 28031, Madrid, Spain
- Hand Surgery Unit. Hospital Universitario Quirónsalud Madrid, Madrid, Spain
- Surgery Department, School of Medicine, Universidad Complutense, Madrid, Spain
| | - Ladislav Nagy
- Division for Hand Surgery and Surgery of Peripheral Nerves, Balgrist University Hospital, University of Zurich, Forchstrasse 340, Zurich, Switzerland
| | - Michiro Yamamoto
- Department of Hand Surgery, Nagoya University, 65 Tsurumai-Cho, Showa-Ku, Nagoya, Japan
| | - Igor O Golubev
- Hand and Microsurgery Division, Priorov Central Institute of Traumatology and Orthopedy, Moscow, Russia
| | - Jörg van Schoonhoven
- Clinic for Hand Surgery, Rhön Medical Center, Campus Bad Neustadt, Von Guttenberg-Straße 11, 97616, Bad Neustadt/Saale, Germany
| | - Florian Goehtz
- Clinic for Hand Surgery, Rhön Medical Center, Campus Bad Neustadt, Von Guttenberg-Straße 11, 97616, Bad Neustadt/Saale, Germany
| | - Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, Spartańska 1, 02-637, Warsaw, Poland
| | - Tobias Johannes Dietrich
- Faculty of Medicine, University of Zurich, Pestalozzistrasse 3, 8091, Zurich, Switzerland
- Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, Rorschacherstrasse 95, 9007, St. Gallen, Switzerland
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Sans N, Cotten A. Bone Revisited - Diagnostic Strategies and Specific Entities. Semin Musculoskelet Radiol 2023; 27:395-396. [PMID: 37748462 DOI: 10.1055/s-0043-1768453] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Affiliation(s)
- Nicolas Sans
- SIMS, Société d'Imagerie Musculosquelettique, Paris, France
- Department of Musculoskeletal Imaging, University of Toulouse, CHU Toulouse, Toulouse, France
| | - Anne Cotten
- SIMS, Société d'Imagerie Musculosquelettique, Paris, France
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
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Cotten A, Boutry N, Demondion X. Metaphyseal and Diaphyseal Contours: Variants and Pitfalls. Semin Musculoskelet Radiol 2023; 27:432-438. [PMID: 37748466 DOI: 10.1055/s-0043-1770125] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/27/2023]
Abstract
We discuss several variants of the metaphyseal and diaphyseal bone surfaces that may be misleading in clinical practice. They include metaphyseal stripes, spiculated metaphyseal cortex, cortical desmoid, laminated lateral supracondylar ridge, cortical vascular canals, variations in shape or lucency of normal tuberosities, cortical thickening of normal ridges, and well-organized undulated hyperostosis at the proximal phalanges.
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Affiliation(s)
- Anne Cotten
- Department of Musculoskeletal Imaging, CIAL, Lille University Hospital, Lille University, Lille, France
- Lille University, MABLab ULR 4490, Lille, France
| | - Nathalie Boutry
- Department of Pediatric Imaging, Jeanne de Flandre Hospital, Lille University Hospital, Lille University, Lille, France
| | - Xavier Demondion
- Department of Musculoskeletal Imaging, CIAL, Lille University Hospital, Lille University, Lille, France
- University Lille, CHU Lille, ULR 7367 - UTML&A - Unité de Taphonomie Médico-Légale & d'Anatomie, Lille, France
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10
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Badr S, Dapvril H, Lombardo D, Khizindar H, Martin C, Cortet B, Cotten A, Paccou J. Myosteatosis and bone marrow adiposity are not associated among postmenopausal women with fragility fractures. Front Endocrinol (Lausanne) 2023; 14:1178464. [PMID: 37404309 PMCID: PMC10316646 DOI: 10.3389/fendo.2023.1178464] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Accepted: 05/23/2023] [Indexed: 07/06/2023] Open
Abstract
Objectives Although paravertebral intramuscular fatty infiltration (known as myosteatosis) following a vertebral fracture is well-known, scarce data are available regarding interactions between muscle, bone, and other fat depots. Based on a homogeneous cohort comprising postmenopausal women with or without a history of fragility fracture, we aimed to better depict the interrelationship between myosteatosis and bone marrow adiposity (BMA). Methods 102 postmenopausal women were included, 56 of whom had a fragility fracture. Mean proton density fat fraction (PDFF) was measured in the psoas (PDFFPsoas) and paravertebral (PDFFParavertebral) muscles at the lumbar level, as well as in the lumbar spine and non-dominant hip using chemical shift encoding-based water-fat imaging. Visceral adipose tissue (VAT) and total body fat (TBF) were assessed using dual X-ray absorptiometry. Statistical models were adjusted for age, weight, height (all comparisons), and bone mineral density (when considering BMA). Results PDFF in the psoas and paravertebral muscles was higher in the fracture group compared to controls even after adjustment for age, weight, and height (PDFFPsoas = 17.1 ± 6.1% versus 13.5 ± 4.9%, p=0.004; PDFFParavertebral = 34.4 ± 13.6% versus 24.9 ± 8.8%, p=0.002). Higher PDFFParavertebral was associated with lower PDFF at the lumbar spine (β = -6.80 ± 2.85, p=0.022) among controls but not in the fracture group. In both groups, a significant relationship between higher PDFFPsoas and higher VAT was observed (β = 20.27 ± 9.62, p=0.040 in the fracture group, and β = 37.49 ± 8.65, p<0.001 in the control group). Although solely observed among controls, a similar relationship was observed between PDFFParavertebral and TBF (β = 6.57 ± 1.80, p<0.001). No significant association was observed between BMA and other fat depots. Conclusion Myosteatosis is not associated with BMA among postmenopausal women with fragility fractures. Whereas myosteatosis was associated with other fat depots, BMA appears uniquely regulated.
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Affiliation(s)
- Sammy Badr
- University of Lille, MABlab ULR 4490, Lille, France
- CHU Lille, Department of Radiology and Musculoskeletal Imaging, Lille, France
| | - Héloïse Dapvril
- CHU Lille, Department of Radiology and Musculoskeletal Imaging, Lille, France
| | | | - Huda Khizindar
- CHU Lille, Department of Radiology and Musculoskeletal Imaging, Lille, France
| | - Claire Martin
- University of Lille, CHU Lille, ULR 2694 - METRICS: Évaluation des technologies de santé et des pratiques médicales, Lille, France
- CHU Lille, Department of Biostatistics, Lille, France
| | - Bernard Cortet
- University of Lille, MABlab ULR 4490, Lille, France
- CHU Lille, Department of Rheumatology, Lille, France
| | - Anne Cotten
- University of Lille, MABlab ULR 4490, Lille, France
- CHU Lille, Department of Radiology and Musculoskeletal Imaging, Lille, France
| | - Julien Paccou
- University of Lille, MABlab ULR 4490, Lille, France
- CHU Lille, Department of Rheumatology, Lille, France
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Gondim Teixeira PA, Dubois L, Hossu G, Gillet R, Badr S, Cotten A, Blum A. Quantitative dynamic contrast-enhanced MRI of bone marrow perfusion at the proximal femur: influence of femoral head osteonecrosis risk factor and overt osteonecrosis. Eur Radiol 2023; 33:2340-2349. [PMID: 36394602 DOI: 10.1007/s00330-022-09250-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2022] [Revised: 09/23/2022] [Accepted: 10/19/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVE To evaluate the MRI perfusion changes in patients with risk factors for osteonecrosis and normally appearing femoral heads prior to overt femoral head osteonecrosis. METHODS Fifty-eight patients (105 hips) were prospectively included in this ethics committee-approved study. There were 46 hips with no image anomalies and no risk factors for osteonecrosis of the femoral head (ONFH) risk factors, 38 with ONFH risk factors and no image abnormalities, and 21 with overt ONFH. All patients underwent DCE-MRI. Semi-quantitative (peak enhancement [PE], area under the curve [AUC], time to maximum enhancement [TME]) and quantitative perfusion parameters (volume plasma, KTRANS, and KEP) were calculated. Excessive alcohol consumption, corticosteroid use, and trauma were considered major risk factors for osteonecrosis of the femoral head. RESULTS Measured at the femoral neck and compared to the healthy hips without OFNH risk factors, PE was significantly lower in the hips of patients with OFNH risk factors. Moreover, the difference was greater in females with risk factors, who presented significantly lower PE values (p = 0.0096). A PE threshold of 1.4% yielded a 92% sensitivity and 54% specificity for the presence of associated ONFH risk factors. The hips with overt OFNH compared to those with normally appearing showed an increase of PE of 45% in the neck (p < 0.014). Various epiphyseal femoral head perfusion parameters (PE, TME, AUC, and Ktrans) presented statistically significant differences in hips with ONFH and those without (p < 0.0001). CONCLUSION DCE-MRI can identify perfusion marrow changes related to the presence of ONFH risk factors and adjacent to osteonecrosis areas. KEY POINTS • Bone marrow perfusion changes may occur prior to overt ONFH and extend beyond the osteonecrosis area to the entire femoral head and neck. • Peak enhancement values were significantly reduced in patients with ONFH risk factors, compared to those without. • The presence of ONFH led to a significant increase in marrow perfusion adjacent to the osteonecrosis area.
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Affiliation(s)
- Pedro Augusto Gondim Teixeira
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France. .,Université de Lorraine, Inserm, IADI, F-54000, Nancy, France.
| | - Lauriane Dubois
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France
| | - Gabriela Hossu
- Université de Lorraine, Inserm, IADI, F-54000, Nancy, France
| | - Romain Gillet
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France
| | - Sammy Badr
- CHU Lille, Department of Radiology and Musculoskeletal Imaging, Centre de Consultations et Imagerie de l'Appareil Locomoteur, F-59000, Lille, France
| | - Anne Cotten
- CHU Lille, Department of Radiology and Musculoskeletal Imaging, Centre de Consultations et Imagerie de l'Appareil Locomoteur, F-59000, Lille, France
| | - Alain Blum
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy cedex, France
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Badr S, Khizindar H, Boulil Y, Abou Diwan R, Demondion X, Cotten A. Anatomical Variants of the Sacroiliac Joint. Semin Musculoskelet Radiol 2023; 27:221-225. [PMID: 37011623 DOI: 10.1055/s-0043-1761954] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
Anatomical variants are frequently encountered when assessing the sacroiliac joints (SIJ) using magnetic resonance imaging. When not located in the weight-bearing part of the SIJ, variants associated with structural and edematous changes can be misinterpreted as sacroiliitis. Their correct identification is necessary to avoid radiologic pitfalls. This article reviews five SIJ variants involved in the dorsal ligamentous space (accessory SIJ, iliosacral complex, semicircular defect, bipartite iliac bony plate, and crescent iliac bony plate) and three SIJ variants involved in the cartilaginous part of the SIJ (posterior dysmorphic SIJ, isolated synostosis, and unfused ossification centers).
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Affiliation(s)
- Sammy Badr
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
- CHU Lille, University Lille, Lille, France
| | - Huda Khizindar
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
| | - Youssef Boulil
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
| | - Ralph Abou Diwan
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
| | - Xavier Demondion
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
| | - Anne Cotten
- Department of Musculoskeletal Imaging, University of Lille, CHU Lille, Lille, France
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Mulé S, Lawrance L, Belkouchi Y, Vilgrain V, Lewin M, Trillaud H, Hoeffel C, Laurent V, Ammari S, Morand E, Faucoz O, Tenenhaus A, Cotten A, Meder JF, Talbot H, Luciani A, Lassau N. Generative adversarial networks (GAN)-based data augmentation of rare liver cancers: The SFR 2021 Artificial Intelligence Data Challenge. Diagn Interv Imaging 2023; 104:43-48. [PMID: 36207277 DOI: 10.1016/j.diii.2022.09.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 09/20/2022] [Indexed: 01/10/2023]
Abstract
PURPOSE The 2021 edition of the Artificial Intelligence Data Challenge was organized by the French Society of Radiology together with the Centre National d'Études Spatiales and CentraleSupélec with the aim to implement generative adversarial networks (GANs) techniques to provide 1000 magnetic resonance imaging (MRI) cases of macrotrabecular-massive (MTM) hepatocellular carcinoma (HCC), a rare and aggressive subtype of HCC, generated from a limited number of real cases from multiple French centers. MATERIALS AND METHODS A dedicated platform was used by the seven inclusion centers to securely upload their anonymized MRI examinations including all three cross-sectional images (one late arterial and one portal-venous phase T1-weighted images and one fat-saturated T2-weighted image) in compliance with general data protection regulation. The quality of the database was checked by experts and manual delineation of the lesions was performed by the expert radiologists involved in each center. Multidisciplinary teams competed between October 11th, 2021 and February 13th, 2022. RESULTS A total of 91 MTM-HCC datasets of three images each were collected from seven French academic centers. Six teams with a total of 28 individuals participated in this challenge. Each participating team was asked to generate one thousand 3-image cases. The qualitative evaluation was performed by three radiologists using the Likert scale on ten randomly selected cases generated by each participant. A quantitative evaluation was also performed using two metrics, the Frechet inception distance and a leave-one-out accuracy of a 1-Nearest Neighbor algorithm. CONCLUSION This data challenge demonstrates the ability of GANs techniques to generate a large number of images from a small sample of imaging examinations of a rare malignant tumor.
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Affiliation(s)
- Sébastien Mulé
- Medical Imaging Department, AP-HP, Henri Mondor University Hospital, Créteil 94000, France; INSERM, U955, Team 18, Créteil 94000, France.
| | - Littisha Lawrance
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, Inserm, CNRS, CEA, BIOMAPS, UMR 1281, Université Paris-Saclay, Villejuif 94800, France
| | - Younes Belkouchi
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, Inserm, CNRS, CEA, BIOMAPS, UMR 1281, Université Paris-Saclay, Villejuif 94800, France; OPIS-Optimisation Imagerie et Santé, Inria, CentraleSupélec, CVN-Centre de Vision Numérique, Université Paris-Saclay, Gif-Sur-Yvette 91190, France
| | - Valérie Vilgrain
- Department of Radiology, APHP, University Hospitals Paris Nord Val de Seine, Hôpital Beaujon, Clichy 92110, France; CRI INSERM, Université Paris Cité, Paris 75018, France
| | - Maité Lewin
- Department of Radiology, AP-HP Hôpital Paul Brousse, Villejuif 94800, France; Faculté de Médecine, Université Paris-Saclay, Le Kremlin-Bicêtre 94270, France
| | - Hervé Trillaud
- CHU de Bordeaux, Department of Radiology, Université de Bordeaux, Bordeaux 33000, France
| | - Christine Hoeffel
- Department of Radiology, Reims University Hospital, Reims 51092, France; CRESTIC, University of Reims Champagne-Ardenne, Reims 51100, France
| | - Valérie Laurent
- Department of Radiology, Nancy University Hospital, University of Lorraine, Vandoeuvre-ls-Nancy 54500, France
| | - Samy Ammari
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, Inserm, CNRS, CEA, BIOMAPS, UMR 1281, Université Paris-Saclay, Villejuif 94800, France; Department of Imaging, Institut Gustave Roussy, Université Paris-Saclay, Villejuif 94800, France
| | - Eric Morand
- Centre National d'Etudes Spatiales-CNES, Centre Spatial de Toulouse, Toulouse 31401 CEDEX 9 University, France
| | - Orphée Faucoz
- Centre National d'Etudes Spatiales-CNES, Centre Spatial de Toulouse, Toulouse 31401 CEDEX 9 University, France
| | - Arthur Tenenhaus
- CentraleSupélec, Laboratoire des Signaux et Systèmes, Université Paris-Saclay, Gif-sur-Yvette 91190, France
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Centre de Consultations Et D'imagerie de L'appareil Locomoteur, Lille 59037, France; Lille University School of Medicine, Lille, France
| | - Jean-François Meder
- Department of Neuroimaging, Sainte-Anne Hospital, Paris 75013 University, France; Université Paris Cité, Paris 75006, France
| | - Hugues Talbot
- OPIS-Optimisation Imagerie et Santé, Inria, CentraleSupélec, CVN-Centre de Vision Numérique, Université Paris-Saclay, Gif-Sur-Yvette 91190, France
| | - Alain Luciani
- Medical Imaging Department, AP-HP, Henri Mondor University Hospital, Créteil 94000, France; INSERM, U955, Team 18, Créteil 94000, France
| | - Nathalie Lassau
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay, Inserm, CNRS, CEA, BIOMAPS, UMR 1281, Université Paris-Saclay, Villejuif 94800, France; Department of Imaging, Institut Gustave Roussy, Université Paris-Saclay, Villejuif 94800, France
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Abou Diwan R, Badr S, Boulil Y, Demondion X, Maynou C, Cotten A. Presurgical Perspective and Postsurgical Evaluation of Non-Achilles Tendons of the Ankle and Retinaculum. Semin Musculoskelet Radiol 2022; 26:670-683. [PMID: 36791736 DOI: 10.1055/s-0042-1760121] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023]
Abstract
The vast majority of non-Achilles ankle tendinopathies are related to overuse. This article discusses the clinical aspect, imaging appearance, and management of tendinopathies of the lateral, medial, and the anterior compartments with a focus on presurgical perspective and postsurgical evaluation.
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Debril H, Saab M, Demondion X, Muys P, Cotten A, Jacques T. Anatomical study of the dorsal capsulo-scapholunate septum using high frequency ultrasonography. Orthop Traumatol Surg Res 2022; 109:103483. [PMID: 36435373 DOI: 10.1016/j.otsr.2022.103483] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/20/2020] [Revised: 03/11/2022] [Accepted: 03/22/2022] [Indexed: 11/24/2022]
Abstract
INTRODUCTION The dorsal capsulo-scapholunate septum (DCSS) is a recently described capsuloligamentous structure between the dorsal bundle of the scapholunate ligament (SLL) and the joint capsule of the wrist. It acts a secondary stabilizer of the scapholunate joint. The aim of this study was to evaluate the visibility and normal appearance of DCSS on high frequency ultrasound. HYPOTHESIS The DCSS can be analyzed using high frequency ultrasound. MATERIALS AND METHODS Three cadaveric wrists were dissected in order to study the DCSS; one without labeling and the other two after labeling under ultrasound guidance. On two other wrists, a correlation between the structure considered to be the DCSS on ultrasound and the corresponding CT arthrography and anatomical sections was carried out. Finally, sagittal ultrasound sections of the DCSS region on 42 healthy wrists were analyzed retrospectively. RESULTS During dissection, the DCSS corresponded to a fibrous structure extending to the dorsal surface of the scaphoid and lunate, with certain fibers converging towards the SLL. On high-frequency ultrasound, a hyperechoic fibrillar structure was visualized at the theoretical position of the DCSS. The dissections performed after ultrasound-guided transfixion showed that its limits corresponded to the limits of the DCSS. The anatomical, CT arthrography and ultrasound sections in the DCSS region were concordant. The DCSS was retrospectively visible on at least one reference ultrasound slice in 90.5% of healthy wrists, and was always hyperechoic. Its average thickness was 1.38±0.24mm. DISCUSSION Our study describes the normal sonographic characteristics of the DCSS, visible in a majority of healthy patients on high-frequency ultrasound. The analysis of the sonographic characteristics of the DCSS in the context of acute wrist trauma should be evaluated, and a diagnostic decision tree has been proposed. LEVEL OF EVIDENCE IV.
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Affiliation(s)
- Héloïse Debril
- Service de radiologie et d'imagerie musculo-squelettique, centre de consultation et d'imagerie de l'appareil locomoteur, CHU de Lille, avenue du Professeur Emile-Laine, 59000 Lille, France; Faculté de médecine, université de Lille, Lille, France
| | - Marc Saab
- Service d'orthopédie 1, CHU de Lille, hôpital Roger-Salengro, avenue du Professeur Emile-Laine, 59000 Lille, France; Faculté de médecine, université de Lille, Lille, France
| | - Xavier Demondion
- Service de radiologie et d'imagerie musculo-squelettique, centre de consultation et d'imagerie de l'appareil locomoteur, CHU de Lille, avenue du Professeur Emile-Laine, 59000 Lille, France; Laboratoire d'anatomie, faculté de médecine de Lille, Lille, France; Faculté de médecine, université de Lille, Lille, France; Unité de taphonomie médico-légale & d'anatomie, ULR 7367, UTML&A, CHU de Lille, University Lille, 59000 Lille, France
| | - Paul Muys
- Laboratoire d'anatomie, faculté de médecine de Lille, Lille, France; Faculté de médecine, université de Lille, Lille, France
| | - Anne Cotten
- Service de radiologie et d'imagerie musculo-squelettique, centre de consultation et d'imagerie de l'appareil locomoteur, CHU de Lille, avenue du Professeur Emile-Laine, 59000 Lille, France; Faculté de médecine, université de Lille, Lille, France; MABLab-Marrow Adiposity and Bone Lab ULR4490, université de Lille, université du Littoral Côte d'Opale, Lille, France.
| | - Thibaut Jacques
- Service de radiologie et d'imagerie musculo-squelettique, centre de consultation et d'imagerie de l'appareil locomoteur, CHU de Lille, avenue du Professeur Emile-Laine, 59000 Lille, France; Faculté de médecine, université de Lille, Lille, France
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Paccou J, Badr S, Lombardo D, Deken V, Cotten A, Cortet B. Bone Marrow Adiposity and Fragility Fractures in Postmenopausal Women: The case-control ADIMOS study. Bone Rep 2022. [DOI: 10.1016/j.bonr.2022.101265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/18/2022] Open
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Olivier T, Kasprzak K, Herteleer M, Demondion X, Jacques T, Cotten A. Anatomical study of the sternoclavicular joint using high-frequency ultrasound. Insights Imaging 2022; 13:66. [PMID: 35380281 PMCID: PMC8982694 DOI: 10.1186/s13244-022-01167-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2021] [Accepted: 01/27/2022] [Indexed: 11/10/2022] Open
Abstract
OBJECTIVES The purpose of the present study was to determine whether ultrasound enables assessment of sternoclavicular structures. METHODS A preliminary study in 3 cadavers was followed by an ultrasound study, performed by 2 musculoskeletal radiologists working in consensus, in 59 patients without history of trauma, surgery or pain in the sternoclavicular joint. The visibility, echogenicity and thickness of the sternoclavicular structures were assessed. RESULTS The anterior sternoclavicular ligament and the interclavicular ligament could be seen in all patients (mean thickness: 1.4 mm and 1.3 mm, respectively). The articular disc was clearly seen in 66.1% of cases, and shoulder antepulsion enabled analysis in an additional 20.3%. Intra-articular joint gas was frequent (33.89% of cases), preventing analysis of the disc in 2 patients. Only the superficial anterior aspect of the clavicular and sternal articular cartilages could be assessed. Joint effusion was seen in 6.8% of cases. Clavicular osteophytes, sternal osteophytes and bone irregularities at the anterior sternoclavicular ligament insertion were detected in 33.9%, 16.9% and 16.9% of cases, respectively. CONCLUSION The anterior sternoclavicular ligament, interclavicular ligament and anterior intra-articular structures can be visualized by ultrasound. This means of assessment may have clinical applications, particularly in patients with trauma or microtrauma.
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Affiliation(s)
- Timothée Olivier
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU Lille, 59037, Lille, France
| | - Kevin Kasprzak
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU Lille, 59037, Lille, France
| | - Matthias Herteleer
- Laboratoire d'Anatomie, Faculté de Médecine, Univ. Lille, Lille, France.,Unité de Taphonomie Médico-Légale et Anatomie (UTML & A), EA 7367, Univ. Lille, Lille, France.,Faculté de Médecine, Univ. Lille, Lille, France
| | - Xavier Demondion
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU Lille, 59037, Lille, France.,Laboratoire d'Anatomie, Faculté de Médecine, Univ. Lille, Lille, France.,Unité de Taphonomie Médico-Légale et Anatomie (UTML & A), EA 7367, Univ. Lille, Lille, France.,Faculté de Médecine, Univ. Lille, Lille, France
| | - Thibaut Jacques
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU Lille, 59037, Lille, France.,Faculté de Médecine, Univ. Lille, Lille, France.,MABLab - Marrow Adiposity and Bone Lab ULR4490-Univ. Lille, Lille, France
| | - Anne Cotten
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU Lille, 59037, Lille, France. .,Faculté de Médecine, Univ. Lille, Lille, France. .,MABLab - Marrow Adiposity and Bone Lab ULR4490-Univ. Lille, Lille, France.
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Badr S, Jacques T, Lefebvre G, Boulil Y, Abou Diwan R, Cotten A. Main Diagnostic Pitfalls in Reading the Sacroiliac Joints on MRI. Diagnostics (Basel) 2021; 11:diagnostics11112001. [PMID: 34829349 PMCID: PMC8624408 DOI: 10.3390/diagnostics11112001] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2021] [Revised: 10/21/2021] [Accepted: 10/25/2021] [Indexed: 12/11/2022] Open
Abstract
Magnetic resonance imaging of the sacroiliac joints is now frequently performed to help identify patients with early axial spondyloarthritis. However, differential diagnoses exist and should be recognized. The aim of this article is to review the most frequent differential diagnoses that may mimic inflammatory sacroiliitis in clinical practice.
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Affiliation(s)
- Sammy Badr
- Department of Musculoskeletal Radiology, Lille University Hospital, 59000 Lille, France; (S.B.); (T.J.); (G.L.); (Y.B.); (R.A.D.)
- MABLab-Marrow Adiposity and Bone Lab ULR4490, University of Lille, 59000 Lille, France
| | - Thibaut Jacques
- Department of Musculoskeletal Radiology, Lille University Hospital, 59000 Lille, France; (S.B.); (T.J.); (G.L.); (Y.B.); (R.A.D.)
- Lille University School of Medicine, 59000 Lille, France
| | - Guillaume Lefebvre
- Department of Musculoskeletal Radiology, Lille University Hospital, 59000 Lille, France; (S.B.); (T.J.); (G.L.); (Y.B.); (R.A.D.)
| | - Youssef Boulil
- Department of Musculoskeletal Radiology, Lille University Hospital, 59000 Lille, France; (S.B.); (T.J.); (G.L.); (Y.B.); (R.A.D.)
| | - Ralph Abou Diwan
- Department of Musculoskeletal Radiology, Lille University Hospital, 59000 Lille, France; (S.B.); (T.J.); (G.L.); (Y.B.); (R.A.D.)
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Lille University Hospital, 59000 Lille, France; (S.B.); (T.J.); (G.L.); (Y.B.); (R.A.D.)
- Lille University School of Medicine, 59000 Lille, France
- Correspondence:
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Jacques T, Brienne C, Henry S, Baffet H, Giraudet G, Demondion X, Cotten A. Minimally invasive removal of deep contraceptive implants under continuous ultrasound guidance is effective, quick, and safe. Eur Radiol 2021; 32:1718-1725. [PMID: 34651210 PMCID: PMC8831252 DOI: 10.1007/s00330-021-08263-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 08/12/2021] [Accepted: 08/18/2021] [Indexed: 11/30/2022]
Abstract
Objectives The aim of this study was to assess the feasibility, performance, and complications of a non-surgical, minimally-invasive procedure of deep contraceptive implant removal under continuous ultrasound guidance. Methods The ultrasound-guided procedure consisted of local anesthesia using lidocaine chlorhydrate 1% (10 mg/mL) with a 21-G needle, followed by hydrodissection using NaCl 0.9% (9 mg/mL) and implant extraction using a Hartmann grasping microforceps. The parameters studied were the implant localization, success and complication rates, pain throughout the intervention, volumes of lidocaïne and NaCl used, duration of the procedure, and size of the incision. Between November 2019 and January 2021, 45 patients were referred to the musculoskeletal radiology department for ultrasound-guided removal of a deep contraceptive implant and were all retrospectively included. Results All implants were successfully removed en bloc (100%). The mean incision size was 2.7 ± 0.5 mm. The mean duration of the extraction procedure was 7.7 ± 6.3 min. There were no major complications (infection, nerve, or vessel damage). As a minor complication, 21 patients (46.7%) reported a benign superficial skin ecchymosis at the puncture site, spontaneously regressing in less than 1 week. The procedure was very well-tolerated, with low pain rating throughout (1.0 ± 1.5/10 during implant extraction). Conclusions Minimally invasive removal of deep contraceptive implants under continuous ultrasound guidance alone is feasible, effective, and safe. In the present cohort, all implants were successfully removed, whatever the location, with short procedural time, small incision size, low pain levels, and no significant complications. This procedure could become a gold standard in this indication. Key Points • Minimally invasive removal of deep contraceptive implants under continuous ultrasound guidance alone is feasible, which led to a success rate of 100% whatever the location (even close to neurovascular structures), with only a small skin incision (2.7 ± 0.5 mm). • The procedure was safe, quick, without any major complications, and very well tolerated in terms of pain. • This minimally invasive ultrasound-guided procedure could become the future gold standard for the removal of deep contraceptive implants, as an alternative to surgical extraction, even for implants in difficult locations such as subfascial ones or those close to neurovascular structures. Supplementary Information The online version contains supplementary material available at 10.1007/s00330-021-08263-4.
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Affiliation(s)
- Thibaut Jacques
- Division of Musculoskeletal Radiology, Lille University Hospital Center, Centre de Consultations Et D'imagerie de L'appareil Locomoteur, Rue du Professeur Emile Laine, 59037, Lille Cedex, France. .,Lille University School of Medicine, Lille, France.
| | - Charlotte Brienne
- Division of Musculoskeletal Radiology, Lille University Hospital Center, Centre de Consultations Et D'imagerie de L'appareil Locomoteur, Rue du Professeur Emile Laine, 59037, Lille Cedex, France.,Lille University School of Medicine, Lille, France
| | - Simon Henry
- Division of Musculoskeletal Radiology, Lille University Hospital Center, Centre de Consultations Et D'imagerie de L'appareil Locomoteur, Rue du Professeur Emile Laine, 59037, Lille Cedex, France
| | - Hortense Baffet
- Division of Medical and Surgical Gynecology, Jeanne de Flandre Hospital, Lille University Hospital Center, Lille, France
| | - Géraldine Giraudet
- Division of Medical and Surgical Gynecology, Jeanne de Flandre Hospital, Lille University Hospital Center, Lille, France
| | - Xavier Demondion
- Division of Musculoskeletal Radiology, Lille University Hospital Center, Centre de Consultations Et D'imagerie de L'appareil Locomoteur, Rue du Professeur Emile Laine, 59037, Lille Cedex, France.,Lille University School of Medicine, Lille, France
| | - Anne Cotten
- Division of Musculoskeletal Radiology, Lille University Hospital Center, Centre de Consultations Et D'imagerie de L'appareil Locomoteur, Rue du Professeur Emile Laine, 59037, Lille Cedex, France.,Lille University School of Medicine, Lille, France
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20
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Lassau N, Bousaid I, Chouzenoux E, Verdon A, Balleyguier C, Bidault F, Mousseaux E, Harguem-Zayani S, Gaillandre L, Bensalah Z, Doutriaux-Dumoulin I, Monroc M, Haquin A, Ceugnart L, Bachelle F, Charlot M, Thomassin-Naggara I, Fourquet T, Dapvril H, Orabona J, Chamming's F, El Haik M, Zhang-Yin J, Guillot MS, Ohana M, Caramella T, Diascorn Y, Airaud JY, Cuingnet P, Gencer U, Lawrance L, Luciani A, Cotten A, Meder JF. Three artificial intelligence data challenges based on CT and ultrasound. Diagn Interv Imaging 2021; 102:669-674. [PMID: 34312111 DOI: 10.1016/j.diii.2021.06.005] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 06/21/2021] [Accepted: 06/23/2021] [Indexed: 12/18/2022]
Abstract
PURPOSE The 2020 edition of these Data Challenges was organized by the French Society of Radiology (SFR), from September 28 to September 30, 2020. The goals were to propose innovative artificial intelligence solutions for the current relevant problems in radiology and to build a large database of multimodal medical images of ultrasound and computed tomography (CT) on these subjects from several French radiology centers. MATERIALS AND METHODS This year the attempt was to create data challenge objectives in line with the clinical routine of radiologists, with less preprocessing of data and annotation, leaving a large part of the preprocessing task to the participating teams. The objectives were proposed by the different organizations depending on their core areas of expertise. A dedicated platform was used to upload the medical image data, to automatically anonymize the uploaded data. RESULTS Three challenges were proposed including classification of benign or malignant breast nodules on ultrasound examinations, detection and contouring of pathological neck lymph nodes from cervical CT examinations and classification of calcium score on coronary calcifications from thoracic CT examinations. A total of 2076 medical examinations were included in the database for the three challenges, in three months, by 18 different centers, of which 12% were excluded. The 39 participants were divided into six multidisciplinary teams among which the coronary calcification score challenge was solved with a concordance index > 95%, and the other two with scores of 67% (breast nodule classification) and 63% (neck lymph node calcifications).
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Affiliation(s)
- Nathalie Lassau
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay. BIOMAPS, UMR 1281. Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France.
| | - Imad Bousaid
- Direction de la Transformation Numérique et des Systèmes d'Information, Institut Gustave Roussy, 94800 Villejuif, France
| | | | - Antoine Verdon
- Direction de la Transformation Numérique et des Systèmes d'Information, Institut Gustave Roussy, 94800 Villejuif, France
| | - Corinne Balleyguier
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay. BIOMAPS, UMR 1281. Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France
| | - François Bidault
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay. BIOMAPS, UMR 1281. Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France
| | - Elie Mousseaux
- Unité Fonctionnelle d'Imagerie Cardiovasculaire Non Invasive, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France
| | - Sana Harguem-Zayani
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay. BIOMAPS, UMR 1281. Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France
| | - Loic Gaillandre
- Centre Libéral d'Imagerie Médicale Agglomération Lille, 59800 Lille, France
| | - Zoubir Bensalah
- Department of Radiology, Centre Hospitalier St Jean, 66000 Perpignan, France
| | | | - Michèle Monroc
- Department of Radiology, Clinique Saint Antoine, 76230 Bois-Guillaume, France
| | - Audrey Haquin
- Department of Radiology, Hôpital de la Croix-Rousse - HCL, 69004 Lyon, France
| | - Luc Ceugnart
- Department of Radiology, Centre Oscar Lambret, 59000 Lille, France
| | | | - Mathilde Charlot
- Department of Radiology, Hôpital Lyon Sud - HCL, 69310 Pierre-Bénite, France
| | | | - Tiphaine Fourquet
- Department of Radiology, Centre Hospitalier Universitaire de Lille, 59000 Lille, France
| | - Héloise Dapvril
- Service d'Imagerie de la Femme, Centre Hospitalier de Valenciennes, 59300 Valenciennes, France
| | - Joseph Orabona
- Department of Radiology, Centre Hospitalier de Bastia, 20600 Bastia, France
| | | | - Mickael El Haik
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay. BIOMAPS, UMR 1281. Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France; Department of Imaging, Institut Gustave Roussy, 94800 Villejuif, France
| | - Jules Zhang-Yin
- Department of Radiology, Hôpital Tenon, AP-HP, 75020 Paris, France
| | - Marc-Samir Guillot
- Unité Fonctionnelle d'Imagerie Cardiovasculaire Non Invasive, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France
| | - Mickaël Ohana
- Department of Radiology, Centre Hospitalier Universitaire de Strasbourg, 67200 Strasbourg, France
| | - Thomas Caramella
- Department of Radiology, Institut Arnault Tzanck, 06700 Saint-Laurent du Var, France
| | - Yann Diascorn
- Department of Radiology, Institut Arnault Tzanck, 06700 Saint-Laurent du Var, France
| | | | - Philippe Cuingnet
- Department of Radiology, Centre Hospitalier de Douai, 59507 Douai, France
| | - Umit Gencer
- Unité Fonctionnelle d'Imagerie Cardiovasculaire Non Invasive, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France
| | - Littisha Lawrance
- Laboratoire d'Imagerie Biomédicale Multimodale Paris-Saclay. BIOMAPS, UMR 1281. Université Paris-Saclay, Inserm, CNRS, CEA, 94800 Villejuif, France
| | - Alain Luciani
- Collège des Enseignants de Radiologie de France, 75013 Paris, France; Department of Radiology, Centre Hospitalier Henri Mondor, 94000 Créteil, France
| | - Anne Cotten
- Musculoskeletal Imaging Department, Lille Regional University Hospital, 59000 Lille, France
| | - Jean-François Meder
- Department of Neuroradiology, Centre Hospitalier Sainte-Anne, 75014 Paris, France; Université de Paris, Faculté de Médecine, 75006 Paris, France
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21
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Dietrich TJ, Toms AP, Cerezal L, Omoumi P, Boutin RD, Fritz J, Schmitt R, Shahabpour M, Becce F, Cotten A, Blum A, Zanetti M, Llopis E, Bień M, Lalam RK, Afonso PD, Mascarenhas VV, Sutter R, Teh J, Pracoń G, de Jonge MC, Drapé JL, Mespreuve M, Bazzocchi A, Bierry G, Dalili D, Garcia-Elias M, Atzei A, Bain GI, Mathoulin CL, Del Piñal F, Van Overstraeten L, Szabo RM, Camus EJ, Luchetti R, Chojnowski AJ, Grünert JG, Czarnecki P, Corella F, Nagy L, Yamamoto M, Golubev IO, van Schoonhoven J, Goehtz F, Klich M, Sudoł-Szopińska I. Interdisciplinary consensus statements on imaging of scapholunate joint instability. Eur Radiol 2021; 31:9446-9458. [PMID: 34100996 PMCID: PMC8589813 DOI: 10.1007/s00330-021-08073-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2021] [Revised: 04/12/2021] [Accepted: 05/12/2021] [Indexed: 11/29/2022]
Abstract
Objectives The purpose of this agreement was to establish evidence-based consensus statements on imaging of scapholunate joint (SLJ) instability by an expert group using the Delphi technique. Methods Nineteen hand surgeons developed a preliminary list of questions on SLJ instability. Radiologists created statements based on the literature and the authors’ clinical experience. Questions and statements were revised during three iterative Delphi rounds. Delphi panellists consisted of twenty-seven musculoskeletal radiologists. The panellists scored their degree of agreement to each statement on an eleven-item numeric scale. Scores of ‘0’, ‘5’ and ‘10’ reflected complete disagreement, indeterminate agreement and complete agreement, respectively. Group consensus was defined as a score of ‘8’ or higher for 80% or more of the panellists. Results Ten of fifteen statements achieved group consensus in the second Delphi round. The remaining five statements achieved group consensus in the third Delphi round. It was agreed that dorsopalmar and lateral radiographs should be acquired as routine imaging work-up in patients with suspected SLJ instability. Radiographic stress views and dynamic fluoroscopy allow accurate diagnosis of dynamic SLJ instability. MR arthrography and CT arthrography are accurate for detecting scapholunate interosseous ligament tears and articular cartilage defects. Ultrasonography and MRI can delineate most extrinsic carpal ligaments, although validated scientific evidence on accurate differentiation between partially or completely torn or incompetent ligaments is not available. Conclusions Delphi-based agreements suggest that standardized radiographs, radiographic stress views, dynamic fluoroscopy, MR arthrography and CT arthrography are the most useful and accurate imaging techniques for the work-up of SLJ instability. Key Points • Dorsopalmar and lateral wrist radiographs remain the basic imaging modality for routine imaging work-up in patients with suspected scapholunate joint instability. • Radiographic stress views and dynamic fluoroscopy of the wrist allow accurate diagnosis of dynamic scapholunate joint instability. • Wrist MR arthrography and CT arthrography are accurate for determination of scapholunate interosseous ligament tears and cartilage defects.
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Affiliation(s)
- Tobias Johannes Dietrich
- Division of Radiology and Nuclear Medicine, Kantonsspital St. Gallen, Rorschacherstrasse 95, CH 9007, St. Gallen, Switzerland. .,Faculty of Medicine, University of Zurich, Pestalozzistrasse 3, 8091, Zurich, Switzerland.
| | - Andoni Paul Toms
- Norwich Medical School, University of East Anglia, Norwich Research Park, Norwich, NR4 7TJ, UK
| | - Luis Cerezal
- Radiology Department, DMC-Diagnóstico Médico Cantabria, Castilla 6-Bajo, 39002, Santander, Spain
| | - Patrick Omoumi
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Robert Downey Boutin
- Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, MC-5105, Stanford, CA, 94305, USA
| | - Jan Fritz
- Department of Radiology, New York University Grossman School of Medicine, NYU Langone Health, 660 First Avenue, New York, NY, 10016, USA
| | - Rainer Schmitt
- Klinikum der Ludwig-Maximilians-Universität München, Klinik und Poliklinik für Radiologie, Marchioninistraße 15, D-81377, München, Germany
| | - Maryam Shahabpour
- Department of Radiology, Universitair Ziekenhuis Brussel, Vrije Universiteit Brussel, Brussels, Belgium
| | - Fabio Becce
- Department of Diagnostic and Interventional Radiology, Lausanne University Hospital and University of Lausanne, Rue du Bugnon 46, 1011, Lausanne, Switzerland
| | - Anne Cotten
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU de Lille, 59800, Lille, France
| | - Alain Blum
- Guilloz Imaging Department, Central Hospital, University Hospital Center of Nancy, UDL, 29 avenue du Maréchal de Lattre de Tassigny, 54035, Nancy, France
| | - Marco Zanetti
- Faculty of Medicine, University of Zurich, Pestalozzistrasse 3, 8091, Zurich, Switzerland.,Department of Musculoskeletal Radiology, Clinic Hirslanden Zurich, Witellikerstrasse 40, 8008, Zurich, Switzerland
| | - Eva Llopis
- Hospital de la Ribera, IMSKE, Valencia, Paseo Ciudadela 13, 46003, Valencia, Spain
| | - Maciej Bień
- Gamma Medical Center, Broniewskiego 3, 01-785, Warsaw, Poland
| | - Radhesh Krishna Lalam
- Department of Radiology, Robert Jones and Agnes Hunt Orthopaedic Hospital, Oswestry, UK
| | - P Diana Afonso
- Musculoskeletal Imaging Unit, Imaging Center, Radiology Department, Hospital da Luz, Grupo Luz Saúde, Av. Lusiada 100, 1500-650, Lisbon, Portugal.,Hospital Particular da Madeira, HPA, Funchal, Madeira, Portugal
| | - Vasco V Mascarenhas
- Musculoskeletal Imaging Unit, Imaging Center, Radiology Department, Hospital da Luz, Grupo Luz Saúde, Av. Lusiada 100, 1500-650, Lisbon, Portugal.,AIRC, Advanced Imaging Research Consortium, Lisbon, Portugal
| | - Reto Sutter
- Faculty of Medicine, University of Zurich, Pestalozzistrasse 3, 8091, Zurich, Switzerland.,Radiology, Balgrist University Hospital, University of Zurich, Forchstrasse 340, CH-8008, Zurich, Switzerland
| | - James Teh
- Department of Radiology, Nuffield Orthopaedic Centre, Oxford University Hospitals NHS Trust, Oxford, UK
| | - Grzegorz Pracoń
- Gamma Medical Center, Broniewskiego 3, 01-785, Warsaw, Poland.,Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, Spartańska 1, 02-637, Warsaw, Poland
| | - Milko C de Jonge
- Department of Radiology, St. Antonius Hospital Utrecht, Utrecht, The Netherlands
| | - Jean-Luc Drapé
- Service de Radiologie B, Groupe Hospitalier Cochin, AP-HP Centre, Université de Paris, 75014, Paris, France
| | - Marc Mespreuve
- Department of Medical Imaging, University Hospital Ghent, Corneel Heymanslaan 10, 9000, Ghent, Belgium
| | - Alberto Bazzocchi
- Diagnostic and Interventional Radiology, IRCCS Istituto Ortopedico Rizzoli, Via G. C. Pupilli 1, 40136, Bologna, Italy
| | - Guillaume Bierry
- MSK Imaging, University Hospital, 1 Avenue Molière, 67098, Strasbourg Cedex, France
| | - Danoob Dalili
- Epsom & St Helier University Hospitals NHS Trust Radiology Department, Dorking Road, Epsom, London, KT18 7EG, UK
| | - Marc Garcia-Elias
- Hand and Upper Extremity Surgery, Creu Blanca, P° Reina Elisenda 57, 08022, Barcelona, Spain
| | - Andrea Atzei
- Pro-Mano, Treviso, Italy and Ospedale Koelliker, Corso G. Ferraris 247, 10134, Torino, Italy
| | - Gregory Ian Bain
- Department of Orthopaedic Surgery, Flinders University, Bedford Park, Adelaide, South Australia, Australia
| | | | - Francisco Del Piñal
- Instituto de Cirugía Plástica y de la Mano, Serrano 58 1B, 28001, Madrid, Spain
| | - Luc Van Overstraeten
- Hand and Foot Surgery Unit (HFSU) SPRL, Rue Pierre Caille 9, 7500, Tournai, Belgium.,Department of Orthopaedics and Traumatology, Erasme University Hospital, Route de Lennik, 808, Brussels, Belgium
| | - Robert M Szabo
- Department of Orthopaedic Surgery, University of California Davis, Health System, 4800 Y Street, Sacramento, CA, 95817, USA
| | - Emmanuel J Camus
- Hand Surgery Unit, Clinique de Lille Sud, 96 Rue Gustave Delory, Lesquin, France
| | | | - Adrian Julian Chojnowski
- Orthopaedics and Trauma Department, Hand and Upper Limb Surgery, Norfolk and Norwich University NHS Trust Hospital, Colney Lane, Norwich, NR4 7UY, UK
| | - Jörg G Grünert
- Department of Hand, Plastic and Reconstructive Surgery, Kantonsspital St. Gallen, St. Gallen, Switzerland
| | - Piotr Czarnecki
- Traumatology, Orthopaedics and Hand Surgery Department, Poznan University of Medical Sciences, ul. 28 Czerwca 1956r. nr 135/147, 61-545, Poznań, Poland
| | - Fernando Corella
- Orthopedic and Trauma Department, Hospital Universitario Infanta Leonor, C/ Gran Vía del Este N° 80, 28031, Madrid, Spain.,Hand Surgery Unit, Hospital Universitario Quirónsalud Madrid, Madrid, Spain.,Surgery Department, School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - Ladislav Nagy
- Faculty of Medicine, University of Zurich, Pestalozzistrasse 3, 8091, Zurich, Switzerland.,Division for Hand Surgery and Surgery of Peripheral Nerves, Balgrist University Hospital, University of Zurich, Forchstrasse, 340, 8008, Zurich, Switzerland
| | - Michiro Yamamoto
- Department of Hand Surgery, Nagoya University, 65 Tsurumai-cho, Showa-ku, Nagoya, Japan
| | - Igor O Golubev
- Hand and Microsurgery Division, National Medical Research Centre of Traumatology and Orthopaedic named after N.N. Priorov, Moscow, Russia
| | - Jörg van Schoonhoven
- Clinic for Hand Surgery, Rhön Medical Center, Campus Bad Neustadt, Von Guttenberg-Straße 11, 97616, Bad Neustadt/Saale, Germany
| | - Florian Goehtz
- Clinic for Hand Surgery, Rhön Medical Center, Campus Bad Neustadt, Von Guttenberg-Straße 11, 97616, Bad Neustadt/Saale, Germany
| | - Maciej Klich
- Department of Traumatology and Orthopaedics, Postgraduate Medical Center, A. Gruca Teaching Hospital, Otwock, Poland
| | - Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, Spartańska 1, 02-637, Warsaw, Poland
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Dartus J, Jacques T, Martinot P, Pasquier G, Cotten A, Migaud H, Morel V, Putman S. The advantages of cone-beam computerised tomography (CT) in pain management following total knee arthroplasty, in comparison with conventional multi-detector CT. Orthop Traumatol Surg Res 2021; 107:102874. [PMID: 33647454 DOI: 10.1016/j.otsr.2021.102874] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 09/08/2020] [Accepted: 10/05/2020] [Indexed: 02/03/2023]
Abstract
BACKGROUND Revision of total knee arthroplasty (TKA) requires preoperative assessment to identify the causes of failure. Multidetector computerised tomography (MDCT) is a commonly used imaging technique, but is sensitive to certain artifacts, such as metal implants, limiting its use. Cone-beam CT (CBCT) is a new technique dedicated to musculoskeletal imaging that is less sensitive to artifacts and could be utilised in knee implantation surgery. CBCT has not yet been validated for this indication, and we therefore undertook a retrospective assessment of MDCT versus CBCT, comparing: 1) image quality; 2) reproducibility of angle measurements; 3) effectiveness in screening for periprosthetic radiolucency and implant loosening; and 4) radiation dose. HYPOTHESIS This study hypothesised that CBCT provides better image quality, angle measurement reproducibility, and screening for radiolucency and implant loosening at lower doses of radiation than MDCT. PATIENTS AND METHOD Between October 2017 and March 2018, 28 patients, with a mean age of 61±11.6 years [range, 45-85 years] underwent both MDCT and CBCT for pain following TKA. Two radiologists performed angle measurements on both devices: patellofemoral tilt (PFT), rotation angle of the femoral component (RAFC) and rotation angle of the tibial component (RATC). They also screened for pathological radiolucency and/or implant loosening, and assessed image quality at the various bone/implant interfaces. The mean CT dose index per examination was recorded. RESULTS Intraclass correlation coefficients for angles and radiolucency screening on MDCT and on CBCT were respectively good (0.73) and excellent (0.82) for PFT, borderline (0.28) and moderate (0.44) for RAFC, excellent (0.82) and excellent (0.96) for RATC, and moderate (0.45) and excellent (0.84) for radiolucency screening. The inter-observer kappa correlation coefficients for diagnosis of implant loosening and image quality assessment for MDCT and CBCT were respectively moderate (0.45) and excellent (0.93) for tibial loosening and low (0.19) and borderline (0.38) for femoral loosening. The mean image quality at the various interfaces for MDCT and CBCT was respectively 2.2/3 and 2.75/3 at the tibia/tibial implant interface, 1/3 and 2.3/3 at the trochlear region/femoral implant interface, 0.9/3 and 2/3 at the femoral condyle/femoral implant interface, and 1.25/3 and 2.1/3 at the patella/patellar medallion interface. The mean CT dose index was significantly lower, by a factor of 1.24, on CBCT (4.138 mGy) than MDCT (5.125 mGy) (p<00396). CONCLUSION The results of the present study revealed added value for CBCT in the etiological work-up for pain following a TKA. It was reliable and reproducible for the rotation measurement and diagnosis of implant loosening, due to enhanced image quality despite a lower radiation dose than conventional MDCT. LEVEL OF EVIDENCE III; retrospective comparative study.
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Affiliation(s)
- Julien Dartus
- Département universitaire de chirurgie orthopédique et traumatologique, Université de Lille, CHU de Lille, ULR 4490, 59000 Lille, France; Service de chirurgie orthopédique, CHU de Lille, Hôpital Roger-Salengro, 59000 Lille, France.
| | - Thibaut Jacques
- Service d'imagerie musculo-squelettique, CHU de Lille, Centre de consultations et d'imagerie de l'appareil locomoteur, 59000 Lille, France
| | - Pierre Martinot
- Département universitaire de chirurgie orthopédique et traumatologique, Université de Lille, CHU de Lille, ULR 4490, 59000 Lille, France; Service de chirurgie orthopédique, CHU de Lille, Hôpital Roger-Salengro, 59000 Lille, France; Service d'imagerie musculo-squelettique, CHU de Lille, Centre de consultations et d'imagerie de l'appareil locomoteur, 59000 Lille, France
| | - Gilles Pasquier
- Département universitaire de chirurgie orthopédique et traumatologique, Université de Lille, CHU de Lille, ULR 4490, 59000 Lille, France; Service de chirurgie orthopédique, CHU de Lille, Hôpital Roger-Salengro, 59000 Lille, France
| | - Anne Cotten
- Service d'imagerie musculo-squelettique, CHU de Lille, Centre de consultations et d'imagerie de l'appareil locomoteur, 59000 Lille, France
| | - Henri Migaud
- Département universitaire de chirurgie orthopédique et traumatologique, Université de Lille, CHU de Lille, ULR 4490, 59000 Lille, France; Service de chirurgie orthopédique, CHU de Lille, Hôpital Roger-Salengro, 59000 Lille, France
| | - Vincent Morel
- Département universitaire de chirurgie orthopédique et traumatologique, Université de Lille, CHU de Lille, ULR 4490, 59000 Lille, France; Service d'imagerie musculo-squelettique, CHU de Lille, Centre de consultations et d'imagerie de l'appareil locomoteur, 59000 Lille, France
| | - Sophie Putman
- Département universitaire de chirurgie orthopédique et traumatologique, Université de Lille, CHU de Lille, ULR 4490, 59000 Lille, France; Service de chirurgie orthopédique, CHU de Lille, Hôpital Roger-Salengro, 59000 Lille, France
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Jacques T, Morel V, Dartus J, Badr S, Demondion X, Cotten A. Impact of introducing extremity cone-beam CT in an emergency radiology department: A population-based study. Orthop Traumatol Surg Res 2021; 107:102834. [PMID: 33524633 DOI: 10.1016/j.otsr.2021.102834] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2020] [Revised: 07/09/2020] [Accepted: 07/23/2020] [Indexed: 02/03/2023]
Abstract
BACKGROUND Musculoskeletal cone-beam CT (CBCT) recently appeared on the market, with image quality comparable to that of high-resolution CT. It was previously implemented mainly in craniofacial surgery and in orthopedic limb surgery for weight-bearing imaging, but without large-scale assessment in emergency settings. We therefore conducted a retrospective comparative study in an emergency radiology department: 1) to assess whether introduction of CBCT dedicated to extremity traumatology reduced radiation dose delivered to the patient undergoing cross-sectional imaging, 2) to assess whether it increased turnover, and 3) to study the feasibility and practical consequences. Study hypothesis Introducing CBCT dedicated to traumatology in an emergency radiology department reduces radiation dose related to cross-sectional imaging in extremity trauma. PATIENTS AND METHODS Two periods were distinguished: in May-November 2016, the only cross-sectional imaging available in our emergency radiology department was multi-detector CT (MDCT); in May-November 2017, both MDCT and CBCT were available. Thus, the population in period 1 (n=165) had undergone only MDCT extremity imaging, while patients in period 2 underwent either CBCT (n=139) or MDCT (n=85). Study parameters notably included dose-length product (DLP) and length of patient stay in the radiology department (turnover). RESULTS Mean DLP was significantly reduced with the introduction of CBCT: 210.3±133.6 mGy.cm (range, 20-595) in period 1, versus 138.4±92.7 mGy.cm (range, 32-623) in period 2 (p<0.0001). Taking both periods together, mean DLP was 50.7% lower with CBCT (n=139) than MDCT (n=249): respectively, 101.6±14.9 mGy.cm (range, 50.6-126.9) versus 206.5±131.8 mGy.cm (range, 20-623) (p<0.0001). Turnover accelerated with the introduction of CBCT, with mean stay of 84.9minutes in period 1 versus 72.1minutes in period 2 (p=0.011). In period 2, turnover was 23.6% faster with CBCT than MDCT: respectively, 64.9minutes versus 85.0minutes (p=0.0004). DISCUSSION Introducing CBCT dedicated to the extremities in an emergency radiology department was feasible. It reduced overall radiation dose and accelerated turnover. LEVEL OF EVIDENCE III; comparative case-control study.
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Affiliation(s)
- Thibaut Jacques
- Department of Musculoskeletal Radiology, Lille University Hospital, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), CHU de Lille, rue du Professeur Emile Laine, 59037 Lille cedex, France; Lille University School of Medicine, Faculté de Médecine de Lille, 1, place de Verdun, 59045 Lille cedex, France.
| | - Vincent Morel
- Department of Musculoskeletal Radiology, Lille University Hospital, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), CHU de Lille, rue du Professeur Emile Laine, 59037 Lille cedex, France
| | - Julien Dartus
- Lille University School of Medicine, Faculté de Médecine de Lille, 1, place de Verdun, 59045 Lille cedex, France; Department of Orthopedic Surgery, Lille University Hospital, Hôpital Roger Salengro, CHU de Lille, 2, avenue Oscar Lambret, 59037 Lille cedex, France
| | - Sammy Badr
- Department of Musculoskeletal Radiology, Lille University Hospital, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), CHU de Lille, rue du Professeur Emile Laine, 59037 Lille cedex, France
| | - Xavier Demondion
- Department of Musculoskeletal Radiology, Lille University Hospital, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), CHU de Lille, rue du Professeur Emile Laine, 59037 Lille cedex, France; Lille University School of Medicine, Faculté de Médecine de Lille, 1, place de Verdun, 59045 Lille cedex, France
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Lille University Hospital, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), CHU de Lille, rue du Professeur Emile Laine, 59037 Lille cedex, France; Lille University School of Medicine, Faculté de Médecine de Lille, 1, place de Verdun, 59045 Lille cedex, France
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Scarciolla L, Herteleer M, Turquet E, Badr S, Demondion X, Jacques T, Cotten A. Anatomical study of the proximal tibiofibular ligaments using ultrasound. Insights Imaging 2021; 12:27. [PMID: 33599838 PMCID: PMC7892653 DOI: 10.1186/s13244-021-00965-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Accepted: 01/11/2021] [Indexed: 11/20/2022] Open
Abstract
Objectives No description of the proximal tibiofibular (PTF) ligaments by means of high ultrasound has yet been reported in the literature. The purpose of this study was to assess whether ultrasound may allow the assessment of these ligaments. Methods This study was initially undertaken in three cadaveric knees, followed by an ultrasound study performed by two musculoskeletal radiologists working in consensus of 52 patients without history of trauma or surgery of the knee, and without lateral knee pain. The visibility, echogenicity, length and thickness of the PTF ligaments were assessed.
Results Regarding the anterior PTF ligament, the superior bundle and the upper and lower middle bundles were clearly seen in 42.3%, 100% and 75% of the knees, respectively. Regarding the posterior PTF ligament, the superior and middle bundles were clearly seen in 88.4% and 51.9% of the knees, respectively. The echo-anatomy of these ligaments and the probe positioning allowing their best depiction were described in this study.
Conclusion Most of the PTF ligaments can be visualized by means of ultrasound. This possible assessment may have clinical applications, particularly in patients with lateral knee pain.
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Affiliation(s)
- Laura Scarciolla
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU de Lille, 59037, Lille, France
| | - Matthias Herteleer
- Laboratoire d'Anatomie, Faculté de Médecine, Université de Lille, Lille, France.,Unité de Taphonomie Médico-Légale et Anatomie (UTML & A), EA 7367, Université de Lille, Lille, France.,Faculté de Médecine, Université de Lille, Lille, France
| | - Edouard Turquet
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU de Lille, 59037, Lille, France
| | - Sammy Badr
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU de Lille, 59037, Lille, France
| | - Xavier Demondion
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU de Lille, 59037, Lille, France.,Laboratoire d'Anatomie, Faculté de Médecine, Université de Lille, Lille, France.,Unité de Taphonomie Médico-Légale et Anatomie (UTML & A), EA 7367, Université de Lille, Lille, France.,Faculté de Médecine, Université de Lille, Lille, France
| | - Thibaut Jacques
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU de Lille, 59037, Lille, France.,Faculté de Médecine, Université de Lille, Lille, France
| | - Anne Cotten
- Service de Radiologie et Imagerie Musculosquelettique, CCIAL, CHU de Lille, 59037, Lille, France. .,Faculté de Médecine, Université de Lille, Lille, France.
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Giraudo C, Lecouvet FE, Cotten A, Eshed I, Jans L, Jurik AG, Maas M, Weber M, Sudoł-Szopińska I. Whole-body magnetic resonance imaging in inflammatory diseases: Where are we now? Results of an International Survey by the European Society of Musculoskeletal Radiology. Eur J Radiol 2021; 136:109533. [PMID: 33454461 DOI: 10.1016/j.ejrad.2021.109533] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 12/07/2020] [Accepted: 01/05/2021] [Indexed: 11/16/2022]
Abstract
PURPOSE To investigate the current role of WB-MRI for rheumatic inflammatory diseases in clinical practice using a survey addressed to musculoskeletal radiologists. METHODS A survey composed of 61 questions, subdivided in three sections, demographics (five questions), application of WB-MRI for inflammatory musculoskeletal diseases in adults and children (28 questions: 7 open and 21 multiple choice for each subgroup) was distributed via the European Society of Musculoskeletal Radiology (ESSR) from July 2 to December 31, 2018 to radiologists working in academic, private, and public workplaces. Comparisons among the different workplaces were performed using the Chi-squared and the Kruskal-Wallis test for nominal and ordinal data, respectively (p < 0.05). RESULTS Seventy-two participants out of the 1779 (4%) members of the ESSR with 10.4 ± 7.9 years of experience in musculoskeletal imaging, replied to at least one question. 30.6% and 12.3% of the respondents performed at least 50 WB-MRI examinations per year in adults and children, respectively. The most frequent indications were myositis in adults and chronic recurrent multifocal osteomyelitis (CRMO) in children, the latter mostly in academic centers (p = 0.013). The ESSR Arthrits Subcommitte's protocol was applied by half of the participants and especially radiologists working in private practice used it for adults (p = 0.025). Contrast medium was rarely used for adults particularly by academics (p = 0.04). Diffusion Weighted Imaging was applied for children mostly in private practice (p = 0.01) although, overall, it plays a marginal role. Scoring systems were rarely used. Ongoing research is limited. CONCLUSION WB-MRI is not routinely applied for musculoskeletal inflammatory diseases. The most frequent indications are myositis and CRMO.
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Affiliation(s)
- Chiara Giraudo
- Radiology Institute, Department of Medicine - DIMED, University of Padova, Italy.
| | - Frederic E Lecouvet
- Department of Radiology and Medical Imaging, Institut de Recherche Expérimentale et Clinique (IREC), Université Catholique de Louvain (UCL), Cliniques Universitaires Saint Luc, Brussels, Belgium
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Lille University Hospital, Lille, France
| | - Iris Eshed
- Department of Radiology, Sheba Medical Center, affiliated with the Tel Aviv University, Tel Aviv, Israel
| | - Lennart Jans
- Department of Radiology and Medical Imaging, Ghent University Hospital, Ghent, Belgium
| | - Anne Grethe Jurik
- Department of Radiology, Aarhus University Hospital, Aarhus N, Denmark
| | - Mario Maas
- Department of Radiology, Academic Medical Center, University of Amsterdam, Amsterdam, the Netherlands
| | - Michael Weber
- Department of Biomedical Imaging and Image-Guided Therapy, Medical University of Vienna, Vienna, Austria
| | - Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation, Warsaw, Poland
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Jacques T, Fournier L, Zins M, Adamsbaum C, Chaumoitre K, Feydy A, Millet I, Montaudon M, Beregi JP, Bartoli JM, Cart P, Masson JP, Meder JF, Boyer L, Cotten A. Proposals for the use of artificial intelligence in emergency radiology. Diagn Interv Imaging 2020; 102:63-68. [PMID: 33279461 DOI: 10.1016/j.diii.2020.11.003] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/12/2020] [Accepted: 11/13/2020] [Indexed: 12/30/2022]
Affiliation(s)
- Thibaut Jacques
- Department of Musculoskeletal Imaging, Lille University Hospital, 59000 Lille, France; Lille University School of Medicine, 59000 Lille, France.
| | - Laure Fournier
- Inserm, PARCC, 75015 Paris, France; Université de Paris, 75006 Paris, France; Radiology Department, Hôpital Européen Georges Pompidou, AP-HP, 75015 Paris, France; DRIM France IA, 75013 Paris, France; Collège des Enseignants en Radiologie de France (CERF), 75013 Paris, France
| | - Marc Zins
- DRIM France IA, 75013 Paris, France; Department of Medical Imaging, Saint-Joseph Hospital, 75014 Paris, France
| | - Catherine Adamsbaum
- Faculty of Medicine, Paris-Saclay University, 94270 Le-Kremlin-Bicêtre, France; Pediatric Radiology Department, Bicêtre Hospital, AP-HP, 94270 Le-Kremlin-Bicêtre, France
| | - Kathia Chaumoitre
- Imaging Department, Hôpital Nord, APHM, 13015 Marseille, France; Aix-Marseille University, 13007 Marseille, France
| | - Antoine Feydy
- Department of Radiology B, Cochin Hospital, AP-HP, 75014 Paris, France; Université de Paris, 75006 Paris, France
| | - Ingrid Millet
- Department of Medical Imaging, Lapeyronie University Hospital, 34295 Montpellier, France; Inserm, UMR, Institut Desbrest d'Épidémiologie et de Santé publique, University of Montpellier, 34000 Montpellier, France
| | - Michel Montaudon
- Collège des Enseignants en Radiologie de France (CERF), 75013 Paris, France; Department of Cardiovascular Imaging, Hôpital Cardiologique du Haut-Lévêque, CHU de Bordeaux, 33600 Pessac, France; Inserm U1045, IHU LIRYC, Université de Bordeaux, 33600 Pessac, France
| | - Jean-Paul Beregi
- DRIM France IA, 75013 Paris, France; Collège des Enseignants en Radiologie de France (CERF), 75013 Paris, France; Medical Imaging Group Nîmes, Nîmes University Hospital, 34000 Nîmes, France
| | - Jean-Michel Bartoli
- DRIM France IA, 75013 Paris, France; Collège des Enseignants en Radiologie de France (CERF), 75013 Paris, France; Radiology, La Timone Hospital, 13000 Marseille, France
| | - Philippe Cart
- Groupement Hospitalier Intercommunal Nord Ardennes, 08000 Charleville-Mézières, France; Syndicat des Radiologues Hospitaliers, 75004 Paris, France
| | - Jean-Philippe Masson
- DRIM France IA, 75013 Paris, France; Fédération Nationale des Médecins Radiologues, 75007 Paris, France
| | - Jean-François Meder
- Université de Paris, 75006 Paris, France; Department of Neuroradiology, Sainte-Anne Hospital, 75014 Paris, France; Inserm UMR 894, Faculty of Medicine, Pyschiatry and Neurosciences Centers, Paris Descartes University, Sorbonne Paris Cité, 75014 Paris, France; Société Française de Radiologie, 75013 Paris, France
| | - Louis Boyer
- Department of Radiology, Hôpital Montpied, CHU de Clermont-Ferrand, 63000 Clermont-Ferrand, France; TGI, Institut Pascal UMR 6602 UCA/CNRS/SIGMA Clermont, 63000 Clermont-Ferrand, France; Conseil National Professionnel de Radiologie (G4), 75013 Paris, France
| | - Anne Cotten
- Department of Musculoskeletal Imaging, Lille University Hospital, 59000 Lille, France; Lille University School of Medicine, 59000 Lille, France; Collège des Enseignants en Radiologie de France (CERF), 75013 Paris, France; Société Française de Radiologie, 75013 Paris, France
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Lassau N, Bousaid I, Chouzenoux E, Lamarque J, Charmettant B, Azoulay M, Cotton F, Khalil A, Lucidarme O, Pigneur F, Benaceur Y, Sadate A, Lederlin M, Laurent F, Chassagnon G, Ernst O, Ferreti G, Diascorn Y, Brillet P, Creze M, Cassagnes L, Caramella C, Loubet A, Dallongeville A, Abassebay N, Ohana M, Banaste N, Cadi M, Behr J, Boussel L, Fournier L, Zins M, Beregi J, Luciani A, Cotten A, Meder J. Three artificial intelligence data challenges based on CT and MRI. Diagn Interv Imaging 2020; 101:783-788. [DOI: 10.1016/j.diii.2020.03.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Accepted: 03/12/2020] [Indexed: 02/07/2023]
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Jacques T, Henry S, Giraudet G, Demondion X, Cotten A. Minimally-invasive fully ultrasound-guided removal of nonpalpable single-rod contraceptive implant: Case report and technical description. Contraception 2020; 101:338-341. [DOI: 10.1016/j.contraception.2020.01.006] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 12/27/2019] [Accepted: 01/12/2020] [Indexed: 10/25/2022]
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Sudoł-Szopińska I, Jacques T, Gietka P, Cotten A. Imaging in dermatomyositis in adults and children. J Ultrason 2020; 20:e36-e42. [PMID: 32320164 PMCID: PMC7266069 DOI: 10.15557/jou.2020.0007] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2019] [Accepted: 03/02/2020] [Indexed: 11/29/2022] Open
Abstract
Dermatomyositis is a rare autoimmune disorder in which an abnormal immune reaction against vascular endothelial antigens and endomysium leads to obstructive inflammatory changes of blood vessels within muscles, skin and other tissues. The disease is characterized by involvement of muscles, and less frequently of other systems, including the gastrointestinal tract, heart and lungs. Dermatomyositis may be diagnosed based on a detailed patient history, through clinical examination, detection of characteristic physical findings and certain specialized tests. Additional imaging studies may be performed to aid in the diagnosis. These include magnetic resonance imaging and ultrasound of the affected muscles. Magnetic resonance imaging is the modality of choice in the diagnostic work-up and monitoring of dermatomyositis affecting muscles, fasciae, and the subcutis. It may recognize acute inflammatory edematous changes in the affected muscles as well fatty replacement and atrophy. The role of ultrasound to diagnose and follow up muscle echogenicity, vascularity, elasticity and volume during treatment has increased over the last years in both adults and children. Ultrasound is used to discriminate between high and low disease activity, may show features of subclinical disease and may be used to confirm remission.
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Affiliation(s)
- Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation , Warsaw , Poland
| | - Thibaut Jacques
- Department of Musculoskeletal Radiology, Lille University Hospital , Lille , France
| | - Piotr Gietka
- Department of Pediatric Rheumatology, National Institute of Geriatrics, Rheumatology and Rehabilitation , Warsaw , Poland
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Lille University Hospital , Lille , France
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Cotten A. Musculoskeletal Imaging: Radiographic/MR Imaging Correlation. Magn Reson Imaging Clin N Am 2019. [DOI: 10.1016/j.mric.2019.07.010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
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Jacques T, Badr S, Michelin P, Lefebvre G, Dartus J, Cotten A. Joint Effusion and Bone Outlines of the Knee: Radiographic/MR Imaging Correlation. Magn Reson Imaging Clin N Am 2019; 27:685-699. [PMID: 31575400 DOI: 10.1016/j.mric.2019.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
Abstract
Knee radiographs are widely used in clinical practice. Many features can be depicted when a systematic analysis of the different views is performed. This article focuses on different types of joint effusion and on the analysis of the bone outlines of the knee, particularly on the lateral view. Systematic analysis of these bone outlines and knowledge of several key points are particularly useful for the depiction of abnormal bone morphology or positioning, and of several conditions, such as trochlear dysplasia, patellar dislocation, impaction fractures, or ligament injuries and avulsion fractures.
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Affiliation(s)
- Thibaut Jacques
- Department of Musculoskeletal Radiology, Lille University Hospital, Rue du Professeur Emile Laine, 59037 Lille CEDEX, France; Lille University School of Medicine, Faculté de Médecine Henri Warembourg, F-59045 Lille CEDEX, France; Service de Radiologie et Imagerie Musculosquelettique, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), Rue du Professeur, Emile Laine, 59037 Lille CEDEX, France.
| | - Sammy Badr
- Department of Musculoskeletal Radiology, Lille University Hospital, Rue du Professeur Emile Laine, 59037 Lille CEDEX, France; Lille University School of Medicine, Faculté de Médecine Henri Warembourg, F-59045 Lille CEDEX, France; Service de Radiologie et Imagerie Musculosquelettique, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), Rue du Professeur, Emile Laine, 59037 Lille CEDEX, France
| | - Paul Michelin
- Department of Radiology, Rouen University Hospital, 1 Rue de Germont, 76031 Rouen Cedex 1, France; Imagerie de l'Appareil Locomoteur, CHU Rouen Normandie, 1 Rue de Germont, 76031 Rouen Cedex 1, France
| | - Guillaume Lefebvre
- Department of Musculoskeletal Radiology, Lille University Hospital, Rue du Professeur Emile Laine, 59037 Lille CEDEX, France; Service de Radiologie et Imagerie Musculosquelettique, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), Rue du Professeur, Emile Laine, 59037 Lille CEDEX, France
| | - Julien Dartus
- Lille University School of Medicine, Faculté de Médecine Henri Warembourg, F-59045 Lille CEDEX, France; Department of Orthopedic Surgery, Lille University Hospital, Rue du Professeur Emile Laine, 59037 Lille CEDEX, France; Service d'Orthopédie D, Hopital Roger Salengro, CHRU de Lille, Rue du Professeur Emile Laine, 59037 Lille CEDEX, France
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Lille University Hospital, Rue du Professeur Emile Laine, 59037 Lille CEDEX, France; Lille University School of Medicine, Faculté de Médecine Henri Warembourg, F-59045 Lille CEDEX, France; Service de Radiologie et Imagerie Musculosquelettique, Centre de Consultations et d'Imagerie de l'Appareil Locomoteur (C.C.I.A.L.), Rue du Professeur, Emile Laine, 59037 Lille CEDEX, France
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Badr S, Legroux-Gérot I, Vignau J, Chauveau C, Ruschke S, Karampinos DC, Budzik JF, Cortet B, Cotten A. Comparison of regional bone marrow adiposity characteristics at the hip of underweight and weight-recovered women with anorexia nervosa using magnetic resonance spectroscopy. Bone 2019; 127:135-145. [PMID: 31146035 DOI: 10.1016/j.bone.2019.05.033] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2019] [Revised: 05/17/2019] [Accepted: 05/26/2019] [Indexed: 10/26/2022]
Abstract
Bone marrow adiposity (BMA) is an underestimated tissue, with properties that may alter bone strength especially in diseases that fragilize bone such as anorexia nervosa. In the present study, we investigated the regional characteristics of BMA at the hip of 40 underweight and 36 weight-recovered anorexic women, along with 10 healthy women, using magnetic resonance spectroscopy at multiple anatomical subregions (acetabulum, femoral neck, proximal femoral diaphysis and greater trochanter) to measure bone marrow fat fraction (BMFF) and apparent lipid unsaturation levels (aLUL). Correlations between BMFF, aLUL, body fat percentage (BF), and bone mineral density (BMD) at the femoral neck and total hip, both measured using dual-energy X-ray absorptiometry, were assessed in anorexic patients. Whereas BMFF was significantly higher and aLUL significantly lower at the femoral neck of underweight and weight-recovered patients compared to controls (BMFF: 90.1 ± 6.7% and 90.3 ± 7.5% respectively versus 81.3 ± 8.1%; aLUL: 7.6 ± 1.4% and 7.3 ± 1.3% versus 9.2 ± 1.5%), BMFF and aLUL were not significantly different between the 2 subgroups of patients. Besides, three noteworthy features were observed between BMA and the other measured parameters in anorexic patients. First, synergic alterations of BMA were observed at all sites, with an inverse relationship between BMFF and aLUL (ρ = -0.88). Second, bone mineral compartment and BMA were associated, as a negative correlation between total hip BMD and BMFF was observed at all sites except the greater trochanter (ρ = [-0.32;-0.29]), as well as a positive correlation with aLUL at all sites except the proximal femoral diaphysis (ρ = [0.25;0.37]). Finally, we found a positive correlation between BF and BMFF at the femoral neck (ρ = 0.35), and a negative correlation between BF and aLUL at this same subregion (ρ = -0.33), which suggest a complex relationship between BMA and BF. Overall, BMA possesses regional specificities which may impair bone health, even after weight recovering.
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Affiliation(s)
- Sammy Badr
- CHU Lille, Service de radiologie et imagerie musculosquelettique, F-59000 Lille, France; Univ. Lille, EA 4490 - PMOI - Physiopathologie des Maladies Osseuses Inflammatoires, F-59000 Lille, France.
| | - Isabelle Legroux-Gérot
- Univ. Lille, EA 4490 - PMOI - Physiopathologie des Maladies Osseuses Inflammatoires, F-59000 Lille, France; CHU Lille, Service de rhumatologie, F-59000 Lille, France
| | - Jean Vignau
- Univ. Lille, EA 4490 - PMOI - Physiopathologie des Maladies Osseuses Inflammatoires, F-59000 Lille, France; CHU Lille, Service d'addictologie, F-59000 Lille, France
| | - Christophe Chauveau
- Univ. Littoral Côte d'Opale, EA 4490 - PMOI - Physiopathologie des Maladies Osseuses Inflammatoires, F-62200 Boulogne-sur-Mer, France
| | - Stefan Ruschke
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - Dimitrios C Karampinos
- Department of Diagnostic and Interventional Radiology, Klinikum rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675 Munich, Germany
| | - Jean-François Budzik
- Univ. Lille, EA 4490 - PMOI - Physiopathologie des Maladies Osseuses Inflammatoires, F-59000 Lille, France; Service d'Imagerie Médicale, Groupe Hospitalier de l'Institut Catholique de Lille / Université Catholique de Lille, F-59000 Lille, France
| | - Bernard Cortet
- Univ. Lille, EA 4490 - PMOI - Physiopathologie des Maladies Osseuses Inflammatoires, F-59000 Lille, France; CHU Lille, Service de rhumatologie, F-59000 Lille, France
| | - Anne Cotten
- CHU Lille, Service de radiologie et imagerie musculosquelettique, F-59000 Lille, France; Univ. Lille, EA 4490 - PMOI - Physiopathologie des Maladies Osseuses Inflammatoires, F-59000 Lille, France
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Sergeant AC, Badr S, Saab M, Demondion X, Cotten A, Jacques T. Carpal tunnel ultrasound: is the "safe zone" on the ulnar side of the median nerve really avascular? Eur Radiol 2019; 30:887-894. [PMID: 31468160 DOI: 10.1007/s00330-019-06416-0] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2019] [Revised: 07/12/2019] [Accepted: 08/07/2019] [Indexed: 10/26/2022]
Abstract
INTRODUCTION Numerous publications have studied the regional anatomy of the carpal tunnel to define a "safe zone" to reduce the risk of perioperative neurovascular complications. This zone, located between the ulnar neurovascular bundle and the median nerve, is considered to be safe mainly because of the absence of vascular structures. This study aims to assess the presence of arterioles within this area using superb microvascular imaging (SMI). MATERIALS AND METHODS The images from patients who underwent a bilateral routine wrist ultrasound with SMI, between January 28 and February 28, 2019, were retrospectively reviewed by two radiologists to evaluate the presence and location of arterioles in the safe zone. In addition, cadaveric wrists injected with intra-arterial red latex underwent dissection of the carpal tunnel. RESULTS The images from 27 patients (54 wrists) were reviewed. In the safe zone, arterioles were seen superficial to the retinaculum in 36 wrists (36/54; 66.7%) and deep to the retinaculum in 21 wrists (21/54; 38.9%). The arterioles located deep to the retinaculum were more frequently found close to the median nerve (21/54; 38.9%) than to the ulnar artery (9/54; 16.7%). In five cadaveric wrists, arterioles were detected superficial to the retinaculum in 3 wrists (3/5; 60%) and deep to the retinaculum in 2 wrists (2/5; 40%). CONCLUSION Arterioles can be seen in the safe zone both superficial and deep to the flexor retinaculum. Deep to the retinaculum, they are mainly observed in the proximal aspect of the carpal tunnel and more frequently close to the median nerve. KEY POINTS • Superb microvascular imaging (SMI) enables the visualization of arterioles within the "safe zone" of the carpal tunnel (visible both superficial and deep to the flexor retinaculum). • Arterioles were more frequently observed in the proximal aspect of the carpal tunnel. • Deep to the retinaculum, arterioles were more frequently seen in proximity to the median nerve.
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Affiliation(s)
- Anne-Charlotte Sergeant
- Department of Musculoskeletal Radiology, Lille University Hospital, Lille, France.,Department of Radiology, University Hospital of Poitiers, Poitiers, France
| | - Sammy Badr
- Department of Musculoskeletal Radiology, Lille University Hospital, Lille, France
| | - Marc Saab
- Department of Orthopaedic surgery, Lille University Hospital, Lille, France.,Lille University School of Medicine, Lille, France.,Laboratory of Anatomy, Lille University School of Medicine, Lille, France
| | - Xavier Demondion
- Department of Musculoskeletal Radiology, Lille University Hospital, Lille, France.,Lille University School of Medicine, Lille, France.,Laboratory of Anatomy, Lille University School of Medicine, Lille, France
| | - Anne Cotten
- Department of Musculoskeletal Radiology, Lille University Hospital, Lille, France.,Lille University School of Medicine, Lille, France
| | - Thibaut Jacques
- Department of Musculoskeletal Radiology, Lille University Hospital, Lille, France. .,Lille University School of Medicine, Lille, France.
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Waymel Q, Badr S, Demondion X, Cotten A, Jacques T. Impact of the rise of artificial intelligence in radiology: What do radiologists think? Diagn Interv Imaging 2019; 100:327-336. [PMID: 31072803 DOI: 10.1016/j.diii.2019.03.015] [Citation(s) in RCA: 84] [Impact Index Per Article: 16.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2019] [Revised: 03/21/2019] [Accepted: 03/29/2019] [Indexed: 12/18/2022]
Abstract
PURPOSE The purpose of this study was to assess the perception, knowledge, wishes and expectations of a sample of French radiologists towards the rise of artificial intelligence (AI) in radiology. MATERIAL AND METHOD A general data protection regulation-compliant electronic survey was sent by e-mail to the 617 radiologists registered in the French departments of Nord and Pas-de-Calais (93 radiology residents and 524 senior radiologists), from both public and private institutions. The survey included 42 questions focusing on AI in radiology, and data were collected between January 16th and January 31st, 2019. The answers were analyzed together by a senior radiologist and a radiology resident. RESULTS A total of 70 radiology residents and 200 senior radiologists participated to the survey, which corresponded to a response rate of 43.8% (270/617). One hundred ninety-eight radiologists (198/270; 73.3%) estimated they had received insufficient previous information on AI. Two hundred and fifty-five respondents (255/270; 94.4%) would consider attending a generic continuous medical education in this field and 187 (187/270; 69.3%) a technically advanced training on AI. Two hundred and fourteen respondents (214/270; 79.3%) thought that AI will have a positive impact on their future practice. The highest expectations were the lowering of imaging-related medical errors (219/270; 81%), followed by the lowering of the interpretation time of each examination (201/270; 74.4%) and the increase in the time spent with patients (141/270; 52.2%). CONCLUSION While respondents had the feeling of receiving insufficient previous information on AI, they are willing to improve their knowledge and technical skills on this field. They share an optimistic view and think that AI will have a positive impact on their future practice. A lower risk of imaging-related medical errors and an increase in the time spent with patients are among their main expectations.
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Affiliation(s)
- Q Waymel
- Department of Musculoskeletal Radiology, University Hospital of Lille, 59037 Lille, France
| | - S Badr
- Department of Musculoskeletal Radiology, University Hospital of Lille, 59037 Lille, France
| | - X Demondion
- Department of Musculoskeletal Radiology, University Hospital of Lille, 59037 Lille, France; Lille Medical School, University of Lille, 59045 Lille, France
| | - A Cotten
- Department of Musculoskeletal Radiology, University Hospital of Lille, 59037 Lille, France; Lille Medical School, University of Lille, 59045 Lille, France
| | - T Jacques
- Department of Musculoskeletal Radiology, University Hospital of Lille, 59037 Lille, France; Lille Medical School, University of Lille, 59045 Lille, France.
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Lassau N, Estienne T, de Vomecourt P, Azoulay M, Cagnol J, Garcia G, Majer M, Jehanno E, Renard-Penna R, Balleyguier C, Bidault F, Caramella C, Jacques T, Dubrulle F, Behr J, Poussange N, Bocquet J, Montagne S, Cornelis F, Faruch M, Bresson B, Brunelle S, Jalaguier-Coudray A, Amoretti N, Blum A, Paisant A, Herreros V, Rouviere O, Si-Mohamed S, Di Marco L, Hauger O, Garetier M, Pigneur F, Bergère A, Cyteval C, Fournier L, Malhaire C, Drape JL, Poncelet E, Bordonne C, Cauliez H, Budzik JF, Boisserie M, Willaume T, Molière S, Peyron Faure N, Caius Giurca S, Juhan V, Caramella T, Perrey A, Desmots F, Faivre-Pierre M, Abitbol M, Lotte R, Istrati D, Guenoun D, Luciani A, Zins M, Meder JF, Cotten A. Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI. Diagn Interv Imaging 2019; 100:199-209. [DOI: 10.1016/j.diii.2019.02.001] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 02/04/2019] [Indexed: 12/18/2022]
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Roblot V, Giret Y, Bou Antoun M, Morillot C, Chassin X, Cotten A, Zerbib J, Fournier L. Artificial intelligence to diagnose meniscus tears on MRI. Diagn Interv Imaging 2019; 100:243-249. [PMID: 30928472 DOI: 10.1016/j.diii.2019.02.007] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Accepted: 02/27/2019] [Indexed: 10/27/2022]
Abstract
PURPOSE The purpose of this study was to build and evaluate a high-performance algorithm to detect and characterize the presence of a meniscus tear on magnetic resonance imaging examination (MRI) of the knee. MATERIAL AND METHODS An algorithm was trained on a dataset of 1123 MR images of the knee. We separated the main task into three sub-tasks: first to detect the position of both horns, second to detect the presence of a tear, and last to determine the orientation of the tear. An algorithm based on fast-region convolutional neural network (CNN) and faster-region CNN, was developed to classify the tasks. The algorithm was thus used on a test dataset composed of 700 images for external validation. The performance metric was based on area under the curve (AUC) analysis for each task and a final weighted AUC encompassing the three tasks was calculated. RESULTS The use of our algorithm yielded an AUC of 0.92 for the detection of the position of the two meniscal horns, of 0.94 for the presence of a meniscal tear and of 083 for determining the orientation of the tear, resulting in a final weighted AUC of 0.90. CONCLUSION We demonstrate that our algorithm based on fast-region CNN is able to detect meniscal tears and is a first step towards developing more end-to-end artificial intelligence-powered diagnostic tools.
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Affiliation(s)
- V Roblot
- UMR-S970, Department of Radiology, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Université Paris-Descartes, 75015 Paris, France.
| | - Y Giret
- CentraleSupélec, Université Paris Saclay, 91190 Gif-sur-Yvette, France; Foodvisor, 75011 Paris, France
| | - M Bou Antoun
- UMR-S970, Department of Radiology, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Université Paris-Descartes, 75015 Paris, France
| | - C Morillot
- CentraleSupélec, Université Paris Saclay, 91190 Gif-sur-Yvette, France
| | - X Chassin
- CentraleSupélec, Université Paris Saclay, 91190 Gif-sur-Yvette, France
| | - A Cotten
- Department of Musculoskeletal Radiology, Lille University Hospital, 59037 Lille, France
| | - J Zerbib
- UMR-S970, Department of Radiology, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Université Paris-Descartes, 75015 Paris, France
| | - L Fournier
- UMR-S970, Department of Radiology, Hôpital Européen Georges-Pompidou, Assistance Publique-Hôpitaux de Paris, Université Paris-Descartes, 75015 Paris, France; Laboratoire de Recherche en Imagerie, LRI, PARCC-HEGP, UMR 970, Inserm/université Paris Descartes, Sorbonne-Paris cité, 75015 Paris, France
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Couteaux V, Si-Mohamed S, Nempont O, Lefevre T, Popoff A, Pizaine G, Villain N, Bloch I, Cotten A, Boussel L. Automatic knee meniscus tear detection and orientation classification with Mask-RCNN. Diagn Interv Imaging 2019; 100:235-242. [PMID: 30910620 DOI: 10.1016/j.diii.2019.03.002] [Citation(s) in RCA: 50] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2019] [Revised: 03/06/2019] [Accepted: 03/06/2019] [Indexed: 10/27/2022]
Abstract
PURPOSE This work presents our contribution to a data challenge organized by the French Radiology Society during the Journées Francophones de Radiologie in October 2018. This challenge consisted in classifying MR images of the knee with respect to the presence of tears in the knee menisci, on meniscal tear location, and meniscal tear orientation. MATERIALS AND METHODS We trained a mask region-based convolutional neural network (R-CNN) to explicitly localize normal and torn menisci, made it more robust with ensemble aggregation, and cascaded it into a shallow ConvNet to classify the orientation of the tear. RESULTS Our approach predicted accurately tears in the database provided for the challenge. This strategy yielded a weighted AUC score of 0.906 for all three tasks, ranking first in this challenge. CONCLUSION The extension of the database or the use of 3D data could contribute to further improve the performances especially for non-typical cases of extensively damaged menisci or multiple tears.
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Affiliation(s)
- V Couteaux
- Philips Research France, 33, rue de Verdun, 92150 Suresnes, France; LTCI, Télécom ParisTech, université Paris-Saclay, 46, rue Barrault, 75013 Paris, France.
| | - S Si-Mohamed
- Inserm U1206, INSA-Lyon, Claude-Bernard-Lyon 1 University, CREATIS, CNRS UMR 5220, 69100 Villeurbanne, France; Department of Radiology, hospices civils de Lyon, 69002 Lyon, France
| | - O Nempont
- Philips Research France, 33, rue de Verdun, 92150 Suresnes, France
| | - T Lefevre
- Philips Research France, 33, rue de Verdun, 92150 Suresnes, France
| | - A Popoff
- Philips Research France, 33, rue de Verdun, 92150 Suresnes, France
| | - G Pizaine
- Philips Research France, 33, rue de Verdun, 92150 Suresnes, France
| | - N Villain
- Philips Research France, 33, rue de Verdun, 92150 Suresnes, France
| | - I Bloch
- LTCI, Télécom ParisTech, université Paris-Saclay, 46, rue Barrault, 75013 Paris, France
| | - A Cotten
- Department of Musculoskeletal Radiology, CHRU de Lille, 59000 Lille, France
| | - L Boussel
- Inserm U1206, INSA-Lyon, Claude-Bernard-Lyon 1 University, CREATIS, CNRS UMR 5220, 69100 Villeurbanne, France; Department of Radiology, hospices civils de Lyon, 69002 Lyon, France
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El Rafei M, Teixeira P, Norberciak L, Badr S, Cotten A, Budzik JF. Dynamic contrast-enhanced MRI perfusion of normal muscle in adult hips: Variation of permeability and semi-quantitative parameters. Eur J Radiol 2018; 108:92-98. [PMID: 30396677 DOI: 10.1016/j.ejrad.2018.08.023] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2018] [Revised: 07/30/2018] [Accepted: 08/26/2018] [Indexed: 12/31/2022]
Abstract
The purpose of this prospective study was to ascertain the degree of variation of semi-quantitative and permeability parameters on DCE-MRI of normally appearing striated muscles. Dynamic contrast-enhanced MRI of the right hip was performed in 20 women and 24 men. Mean age was 39.1 ± 12.4 years. Two regions of interest (ROI) were drawn in twelve muscles of anterior, medial and gluteal compartments: a free-form ROI covering the largest muscle section and a smaller elliptical ROI. Semi-quantitative and permeability parameters were calculated using the extended Tofts model. Statistical analysis was performed with a linear mixed model to assess perfusion parameters variation. Intra- and inter-observer agreements were assessed. The intra-observer agreement was considered to be good for free-form ROI (minimum Intra-Class Coefficient (ICC) = 0.72) and moderate for elliptical ROI (minimum ICC = 0.51), while the inter-observer agreement was considered to be bad in both cases (minimum ICC = 0.11). There was a high inter-individual variation in most of the perfusion parameters evaluated. The average coefficients of variation were: Time To Peak = 9%, Area Under the Curve = 44%, Ve = 61%, Kep = 90%, Initial Slope = 99%, and Ktrans = 128%. A considerable variation in resting muscle perfusion parameters was seen. This could lead to errors in the analysis of muscle DCE-MRI studies or oncologic/non oncologic studies using muscle as a referential. Further studies targeted on acquisition protocols and post-processing software are necessary to improve the performance of muscle MR perfusion.
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Affiliation(s)
- Mazen El Rafei
- Lille Regional University Hospital, Musculoskeletal Imaging Department, University of Lille Nord de France, Lille, France.
| | - Pedro Teixeira
- Nancy Regional University Hospital, Imaging Department, University of Lorraine, Nancy, France.
| | - Laurène Norberciak
- Lille Catholic University Hospitals, Biostatistics Department, Lille Catholic University, Lille, France.
| | - Sammy Badr
- Lille Regional University Hospital, Musculoskeletal Imaging Department, University of Lille Nord de France, Lille, France; PMOI Physiopathology of Inflammatory Bone Diseases, EA 4490, University of Lille Nord de France, Lille, France.
| | - Anne Cotten
- Lille Regional University Hospital, Musculoskeletal Imaging Department, University of Lille Nord de France, Lille, France; PMOI Physiopathology of Inflammatory Bone Diseases, EA 4490, University of Lille Nord de France, Lille, France.
| | - Jean-François Budzik
- PMOI Physiopathology of Inflammatory Bone Diseases, EA 4490, University of Lille Nord de France, Lille, France; Lille Catholic University Hospitals, Imaging Department, Lille Catholic University, Lille, France.
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Gondim Teixeira P, Renaud A, Aubert S, Ben Haj Amor M, Robin YM, Cotten A, Ceugnart L. Perfusion MR imaging at 3-Tesla: Can it predict tumor grade and histologic necrosis rate of musculoskeletal sarcoma? Diagn Interv Imaging 2018; 99:473-481. [DOI: 10.1016/j.diii.2018.02.005] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2017] [Revised: 01/24/2018] [Accepted: 02/04/2018] [Indexed: 12/22/2022]
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El Rafei M, Badr S, Lefebvre G, Machuron F, Capon B, Flipo RM, Cotten A. Sacroiliac joints: anatomical variations on MR images. Eur Radiol 2018; 28:5328-5337. [PMID: 29876707 DOI: 10.1007/s00330-018-5540-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2018] [Revised: 05/04/2018] [Accepted: 05/14/2018] [Indexed: 12/25/2022]
Abstract
OBJECTIVE To describe the appearance of the anatomical variations of the sacroiliac joints (SIJ) on MR images and to highlight the potential MR features that might be misleading. METHODS Consecutive MRI examinations of SIJs performed at our department from January 2015 to December 2016 were retrospectively analyzed. As one of our goals was to describe potential misleading edematous or structural changes associated with SIJ anatomical variations, patients fulfilling the ASAS criteria were excluded from this study to ensure that signal intensity changes would not be related to sacroiliitis. Five anatomical variations and a dysmorphic appearance of the SIJ were detected. RESULTS The final group consisted of 157 patients. Unilateral or bilateral anatomical variations of the SIJ were found in 50 patients (accessory SIJ, iliosacral complex and sacral defect in 17, 18 and 21 patients, respectively, and synostosis in one patient). A dysmorphic appearance of the SIJ was found in 26 patients. No case of an unfused ossification centers was depicted. Structural and/or edematous changes of the facing bones were quite frequently observed in accessory and dysmorphic SIJ. Iliosacral complex and sacral defects could be associated with prominent vessels running along their bony surfaces. CONCLUSION Several anatomical variations of the SIJs are relatively commonly seen on MR images, particularly in females. These variations may be associated with signal intensity changes, which may be mechanical and not necessarily inflammatory in nature. KEY POINTS • Anatomical variations of SIJ may involve the cartilaginous or ligamentous part of the joint • Anatomical variations of SIJ are sometimes associated with edematous and/or structural changes of the adjacent bone • Anatomical variations of the SIJ can be misleading on MR imaging.
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Affiliation(s)
- Mazen El Rafei
- Musculoskeletal Radiology Department, Lille University Hospital, 59037, Lille, France
| | - Sammy Badr
- Musculoskeletal Radiology Department, Lille University Hospital, 59037, Lille, France
| | - Guillaume Lefebvre
- Musculoskeletal Radiology Department, Lille University Hospital, 59037, Lille, France
| | - Francois Machuron
- Unite de methodologie biostatistique et data management Maison regionale de la recherche clinique CHRU Lille, Lille, France
| | - Benoist Capon
- Musculoskeletal Radiology Department, Lille University Hospital, 59037, Lille, France
| | - Rene-Marc Flipo
- Department of Rheumatology, Lille University Hospital, 59037, Lille, France
| | - Anne Cotten
- Musculoskeletal Radiology Department, Lille University Hospital, 59037, Lille, France.
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Jacques T, Sudoł-Szopińska I, Larkman N, O'Connor P, Cotten A. Musculoskeletal Manifestations of Non-RA Connective Tissue Diseases: Scleroderma, Systemic Lupus Erythematosus, Still's Disease, Dermatomyositis/Polymyositis, Sjögren's Syndrome, and Mixed Connective Tissue Disease. Semin Musculoskelet Radiol 2018; 22:166-179. [PMID: 29672805 DOI: 10.1055/s-0038-1639473] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
The most common systemic rheumatologic conditions are connective tissue diseases (including rheumatoid arthritis [RA]) followed by spondyloarthropathy. With the advent of biotherapies and imaging biomarkers, development in the imaging of RA and spondyloarthropathies has received substantial attention in the literature. This article details the various musculoskeletal imaging features of the other connective tissue diseases such as scleroderma and progressive systemic sclerosis, systemic lupus erythematosus, Still's disease, dermatomyositis and polymyositis, Sjögren's syndrome, and mixed connective tissue disease.
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Affiliation(s)
- Thibaut Jacques
- Department of Musculoskeletal Radiology, University Hospital of Lille, Lille Cedex, France.,Lille Medical School, University of Lille, Lille, France
| | - Iwona Sudoł-Szopińska
- Department of Radiology, National Institute of Geriatrics, Rheumatology and Rehabilitation; Warsaw, Poland
| | - Neal Larkman
- Harrogate District Hospital, Harrogate, United Kingdom
| | - Phil O'Connor
- Leeds NIHR Biomedical Research Centre, Leeds Teaching Hospitals, University of Leeds, Leeds, United Kingdom
| | - Anne Cotten
- Department of Musculoskeletal Radiology, University Hospital of Lille, Lille Cedex, France.,Lille Medical School, University of Lille, Lille, France
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Affiliation(s)
- A Cotten
- Center for Consultation and Imaging of the Musculoskeletal System, CHRU Lille, rue du Professeur-Emile-Laine, 59037 Lille cedex, France.
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Cotten A, Drapé JL, Sans N, Feydy A, Bartoli JM, Meder JF. Société d'imagerie musculosquelettique (SIMS), Fédération de radiologie interventionnelle (FRI), and Société française de radiologie (SFR) recommendations for epidural and transforaminal corticosteroid injections. Diagn Interv Imaging 2018; 99:219-224. [PMID: 29454550 DOI: 10.1016/j.diii.2018.01.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2018] [Accepted: 01/24/2018] [Indexed: 12/14/2022]
Affiliation(s)
- A Cotten
- Centre de consultation et d'imagerie de l'appareil locomoteur, CHRU de Lille, rue du professeur Emile-Laine, 59037 Lille cedex, France.
| | - J-L Drapé
- AP-HP, site Cochin, 27, rue du Faubourg St-Jacques, 75679 Paris, France.
| | - N Sans
- CHU Purpan, hôpital Pierre-Paul-Riquet, TSA 40031, 31059 Toulouse cedex 9, France.
| | - A Feydy
- AP-HP, site Cochin, 27, rue du Faubourg St-Jacques, 75679 Paris, France.
| | - J-M Bartoli
- Université d'Aix-Marseille, rue Saint-Pierre, 13385 Marseille cedex 05, France.
| | - J-F Meder
- Université Paris V, 1, rue Cabanis, 75674 Paris cedex 14, France.
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Budzik JF, Lefebvre G, Behal H, Verclytte S, Hardouin P, Teixeira P, Cotten A. Assessment of the zonal variation of perfusion parameters in the femoral head: a 3-T dynamic contrast-enhanced MRI pilot study. Skeletal Radiol 2018; 47:261-270. [PMID: 29143112 DOI: 10.1007/s00256-017-2802-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/16/2017] [Revised: 10/11/2017] [Accepted: 10/16/2017] [Indexed: 02/02/2023]
Abstract
OBJECTIVE The objective was to describe MR perfusion characteristics of the femoral head, with a focus on the subchondral bone. MATERIALS AND METHODS This prospective monocentric study was approved by our local Ethics Committee. Written informed consent was obtained from all subjects. Dynamic contrast-enhanced MRI of the right hip was performed in 59 adults with suspected spondyloarthritis (32 women, 28 men). Mean age was 37.5 (±12.5) years. Regions of interest were drawn in the femoral head epiphysis, in the subchondral areas the most exposed to mechanical load (superolateral, anterosuperior, and posterior zones) and in areas less exposed to mechanical load (inferior subchondral zone and center of the femoral head). Semi-quantitative and pharmacokinetic parameters were calculated using the Tofts model. Statistical analysis was performed with a linear mixed model to compare the perfusion parameters in the different femoral head zones. RESULTS Extravascular extracellular volume and area under the curve were lower in the superolateral zone than in the inferior zone (p = 0.0135 and p < 0.0001 respectively) and the central zone (p = 0.007 and p = 0.0134 respectively). Extravascular extracellular volume and rate constant were lower in the anterosuperior zone than in the inferior zones (p = 0.011 and p = 0.029). In the anterosuperior zone, extravascular extracellular volume was lower, and time to peak was higher than in the central zones (p = 0.0056 and p = 0.0013 respectively). No significant differences were found for any values between other paired zones. CONCLUSION The perfusion of femoral head subchondral bone assessed with dynamic contrast-enhanced magnetic resonance imaging is not homogeneous: the areas exposed to more mechanical loading are less perfused.
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Affiliation(s)
- Jean-François Budzik
- Imaging Department, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France.
- Lille University, Littoral Côte d'Opale University, EA 4490, PMOI, Physiopathologie des Maladies Osseuses Inflammatoires, F-59000, Lille, France.
| | - Guillaume Lefebvre
- Musculoskeletal Imaging Department, Centre de Consultation et d'Imagerie de l'Appareil Locomoteur, CHU Lille, University of Lille Nord de France, F-59000, Lille, France
| | - Hélène Behal
- Biostatistics Department, Lille Regional University Hospital, University of Lille Nord de France, F-59000, Lille, France
| | - Sébastien Verclytte
- Imaging Department, Lille Catholic Hospitals, Lille Catholic University, F-59000, Lille, France
| | - Pierre Hardouin
- Littoral Côte d'Opale University, Lille University, EA 4490, PMOI, Physiopathologie des Maladies Osseuses Inflammatoires, F-59000, Lille, France
| | - Pedro Teixeira
- Service d'Imagerie Guilloz, Hôpital Central, Centre Hospitalier Universitaire de Nancy, 29 Ave du Maréchal de Lattre de Tassigny, F-54035, Nancy, France
| | - Anne Cotten
- Lille University, Littoral Côte d'Opale University, EA 4490, PMOI, Physiopathologie des Maladies Osseuses Inflammatoires, F-59000, Lille, France
- Musculoskeletal Imaging Department, Centre de Consultation et d'Imagerie de l'Appareil Locomoteur, CHU Lille, University of Lille Nord de France, F-59000, Lille, France
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Larkman N, Lefebvre G, Jacques T, Demondion X, Cotten H, Cotten A. Anatomical and MR correlative study of the proximal sciatic nerve vasculature. Br J Radiol 2017; 90:20170031. [PMID: 28707535 DOI: 10.1259/bjr.20170031] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
OBJECTIVE The aim of our study is to demonstrate that increased T2 signal on MRI could be due to intraneural vessels in asymptomatic individuals, and may therefore be a normal finding. METHODS An initial anatomic cadaveric study was undertaken to gain a better understanding of the vascular supply of the proximal sciatic nerve. Secondly, a retrospective study of MR imaging of patients without sciatic symptoms was performed to assess the prevalence of intraneural vessels, defined as hyperintensity on at least three consecutive slices on both T2 and gadolinium enhanced T1 weighted imaging, visible on routine MSK pelvic imaging. RESULTS The anatomical study demonstrated a relatively abundant blood supply in the peri-ischiatic region. In the MR study, 20/76 (26%) patients showed visible intraneural vessels. More than one intraneural vessel was depicted in two of the sciatic nerves. Direct branching between the extrinsic and intrinsic systems was seen in only five cases. CONCLUSION Normal intraneural vessels can frequently be seen within the sciatic nerve on routine musculoskeletal pelvic imaging. Advances in knowledge: T2 hyperintensity in the proximal sciatic nerve can be due to intraneural vessels and should not necessarily be reported as abnormal.
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Affiliation(s)
- Neal Larkman
- Radiology Department, Harrogate District Hospital, Harrogate, UK.,Service de radiologie et imagerie musculosquelettique, CCIAL, CHRU, Lille, France
| | - Guillaume Lefebvre
- Service de radiologie et imagerie musculosquelettique, CCIAL, CHRU, Lille, France
| | - Thibault Jacques
- Service de radiologie et imagerie musculosquelettique, CCIAL, CHRU, Lille, France
| | - Xavier Demondion
- Service de radiologie et imagerie musculosquelettique, CCIAL, CHRU, Lille, France
| | - Hervé Cotten
- Service de radiologie et imagerie musculosquelettique, CCIAL, CHRU, Lille, France
| | - Anne Cotten
- Service de radiologie et imagerie musculosquelettique, CCIAL, CHRU, Lille, France
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Gondim Teixeira PA, Badr S, Hossu G, Lefebvre G, Abou Arab W, Blum A, Cotten A. Quantitative analysis of scapholunate diastasis using stress speckle-tracking sonography: a proof-of-concept and feasibility study. Eur Radiol 2017; 27:5344-5351. [DOI: 10.1007/s00330-017-4915-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2016] [Revised: 03/17/2017] [Accepted: 05/25/2017] [Indexed: 11/28/2022]
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Gondim Teixeira PA, Leplat C, Chen B, De Verbizier J, Beaumont M, Badr S, Cotten A, Blum A. Contrast-enhanced 3T MR Perfusion of Musculoskeletal Tumours: T1 Value Heterogeneity Assessment and Evaluation of the Influence of T1 Estimation Methods on Quantitative Parameters. Eur Radiol 2017; 27:4903-4912. [DOI: 10.1007/s00330-017-4891-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 04/13/2017] [Accepted: 05/11/2017] [Indexed: 12/31/2022]
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Jacques T, Michelin P, Badr S, Nasuto M, Lefebvre G, Larkman N, Cotten A. Conventional Radiology in Crystal Arthritis: Gout, Calcium Pyrophosphate Deposition, and Basic Calcium Phosphate Crystals. Radiol Clin North Am 2017; 55:967-984. [PMID: 28774457 DOI: 10.1016/j.rcl.2017.04.004] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This article reviews the main radiographic features of crystal deposition diseases. Gout is linked to monosodium urate crystals. Classic radiographic features include subcutaneous tophi, large and well-circumscribed paraarticular bone erosions, and exuberant bone hyperostosis. Calcium pyrophosphate deposition (CPPD) can involve numerous structures, such as hyaline cartilages, fibrocartilages, or tendons. CPPD arthropathy involves joints usually spared by osteoarthritis. Basic calcium phosphate deposits are periarticular or intraarticular. Periarticular calcifications are amorphous, dense, and round or oval with well-limited borders, and most are asymptomatic. When resorbing, they become cloudy and less dense with an ill-defined shape and can migrate into adjacent structures.
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Affiliation(s)
- Thibaut Jacques
- Division of Radiology and Musculoskeletal Imaging, University Hospital of Lille, Rue du Professeur Emile Laine, Lille Cedex 59037, France; University of Lille, 42, rue Paul Duez, Lille 59000, France.
| | - Paul Michelin
- Department of Radiology, CHRU de Rouen, 1 rue de Germont, Rouen Cedex 76031, France
| | - Sammy Badr
- Division of Radiology and Musculoskeletal Imaging, University Hospital of Lille, Rue du Professeur Emile Laine, Lille Cedex 59037, France; University of Lille, 42, rue Paul Duez, Lille 59000, France
| | - Michelangelo Nasuto
- Department of Radiology, University of Foggia, Viale Luigi Pinto 1, Foggia 71100, Italy
| | - Guillaume Lefebvre
- Division of Radiology and Musculoskeletal Imaging, University Hospital of Lille, Rue du Professeur Emile Laine, Lille Cedex 59037, France; University of Lille, 42, rue Paul Duez, Lille 59000, France
| | - Neal Larkman
- Department of Radiology, Leeds Teaching Hospital Trust, Chapeltown Road, Leeds, West Yorkshire LS7 4SA, UK
| | - Anne Cotten
- Division of Radiology and Musculoskeletal Imaging, University Hospital of Lille, Rue du Professeur Emile Laine, Lille Cedex 59037, France; University of Lille, 42, rue Paul Duez, Lille 59000, France
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Budzik JF, Lefebvre G, Behal H, Verclytte S, Hardouin P, Teixeira P, Cotten A. Bone marrow perfusion measured with dynamic contrast enhanced magnetic resonance imaging is correlated to body mass index in adults. Bone 2017; 99:47-52. [PMID: 28347909 DOI: 10.1016/j.bone.2017.03.048] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/06/2016] [Revised: 03/03/2017] [Accepted: 03/07/2017] [Indexed: 01/02/2023]
Abstract
Bone marrow metabolism is complex and far from being fully understood. Novel aspects, such as the roles of bone marrow adiposity and vascularisation in bone metabolism currently attract attention. There is also a growing interest in the influence obesity might have on bone metabolism. Our objective was to determine the effect of BMI on bone marrow perfusion parameters using dynamic contrast-enhanced magnetic resonance imaging. This prospective monocentric study was approved by our local Ethics committee. Written consent was obtained. The right hip of 59 adults under 60years old (mean age 37.5) was imaged with a dynamic 3D T1 spoiled gradient echo magnetic resonance imaging sequence. Mean BMI was 24.8 (+/-4.4). Perfusion parameters were measured in the acetabulum and femoral neck, in the greater trochanter, in the femoral head epiphysis and in the subcutaneous adipose tissue. Associations between perfusion parameters and BMI were studied using a linear mixed model adjusted for age and sex effects. Our results showed that as the BMI increased, the exchanges between blood and bone marrow appeared more important (increased Ktrans and Kep values, p=0.018 and p=0.002 respectively) and the intramedullary blood flow appeared increased (lower time to peak values, p=0.0002). In the subcutaneous fat, as the BMI increased, the vascularization decreased (lower area under the curve and initial slope values, p=0.019 and p=0.013 respectively). These results suggest that there is a relation between bone marrow perfusion and BMI, and that subcutaneous fat and bone marrow fat have different microvascular behaviours. Researchers must be aware of the effect of BMI on bone marrow perfusion parameters when they build a MR research protocol and analyse their data. A better understanding of these findings may provide the basis for the management of obesity-related bone changes.
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Affiliation(s)
- Jean-François Budzik
- Lille Catholic Hospitals, Imaging Department, Lille Catholic University, Lille, France; PMOI Physiopathology of Inflammatory Bone Diseases, EA 4490, Lille, France.
| | - Guillaume Lefebvre
- Lille Regional University Hospital, Musculoskeletal Imaging Department, University of Lille Nord de France, Lille, France.
| | - Hélène Behal
- Lille Regional University Hospital, Biostatistics Department, University of Lille Nord de France, Lille, France.
| | - Sébastien Verclytte
- Lille Catholic Hospitals, Imaging Department, Lille Catholic University, Lille, France.
| | - Pierre Hardouin
- PMOI Physiopathology of Inflammatory Bone Diseases, EA 4490, University of Lille Nord de France, Lille, France.
| | - Pedro Teixeira
- Nancy Regional University Hospital, Imaging Department, University of Lorraine, Nancy, France.
| | - Anne Cotten
- Lille Catholic Hospitals, Imaging Department, Lille Catholic University, Lille, France; PMOI Physiopathology of Inflammatory Bone Diseases, EA 4490, University of Lille Nord de France, Lille, France.
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Soudy K, Szymanski C, Lalanne C, Bourgault C, Thiounn A, Cotten A, Maynou C. Results and limitations of humeral head resurfacing: 105 cases at a mean follow-up of 5 years. Orthop Traumatol Surg Res 2017; 103:415-420. [PMID: 28167247 DOI: 10.1016/j.otsr.2016.12.015] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Revised: 12/15/2016] [Accepted: 12/19/2016] [Indexed: 02/02/2023]
Abstract
BACKGROUND The objective of this study was to assess clinical and computed-tomography (CT) outcomes at least 2 years after humeral head resurfacing to treat concentric gleno-humeral osteoarthritis. HYPOTHESIS Humeral head resurfacing provides similar outcomes to those achieved with stemmed humeral head implants. MATERIALS AND METHODS This single-centre retrospective study included 40 Copeland™ and 65 Aequalis™ humeral resurfacing heads implanted between 2004 and 2012. Mean patient age at diagnosis was 64 years. The diagnoses were osteoarthritis with an intact (68%) or torn (21%) rotator cuff, avascular necrosis (5%), osteoarthritis complicating chronic instability (3%), post-traumatic osteoarthritis (2%), and chronic inflammatory joint disease (1%). Validated clinical scores, radiographs, and CT before surgery and at last follow-up were compared. RESULTS During the mean follow-up of 56 months, complications occurred in 24 implants. Revision surgery with reverse shoulder replacement was required in 18 cases, after a mean of 43.6 months, to treat glenoid wear or a rotator cuff tear. At last follow-up, for the implants that did not require revision surgery, the mean Constant score was 64/100. The implants had a mean varus of 5° and mean retroversion of -13.3°. The mean increase in glenoid cavity depth was 2.4mm. Mean increases in medial and lateral humeral offset were 1.9mm and 2.7mm, respectively. Pre-operative factors significantly associated with failure were rotator cuff tear (P=0.017) and glenoid erosion (P=0.001). DISCUSSION We found a high failure rate related to glenoid wear or progressive rotator-cuff impairment, although CT showed no evidence of implant malposition or overstuffing. Previous studies of stemmed humeral head implants showed better outcomes. Given the low medium-term prosthesis survival rate, we now reserve humeral head resurfacing for concentric osteoarthritis without glenoid erosions or rotator cuff damage. LEVEL OF EVIDENCE IV, retrospective study.
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Affiliation(s)
- K Soudy
- Service d'orthopédie A, Hôpital Roger Salengro, CHRU Lille, rue Emile Laine, 59000 Lille, France.
| | - C Szymanski
- Service d'orthopédie A, Hôpital Roger Salengro, CHRU Lille, rue Emile Laine, 59000 Lille, France
| | - C Lalanne
- Service d'orthopédie A, Hôpital Roger Salengro, CHRU Lille, rue Emile Laine, 59000 Lille, France
| | - C Bourgault
- Service d'orthopédie A, Hôpital Roger Salengro, CHRU Lille, rue Emile Laine, 59000 Lille, France
| | - A Thiounn
- Service d'orthopédie A, Hôpital Roger Salengro, CHRU Lille, rue Emile Laine, 59000 Lille, France
| | - A Cotten
- Service d'imagerie ostéo-articulaire, Hôpital Roger Salengro, CHRU Lille, rue Emile Laine, 59000 Lille, France
| | - C Maynou
- Service d'orthopédie A, Hôpital Roger Salengro, CHRU Lille, rue Emile Laine, 59000 Lille, France
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