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Boisseau W, Benomar A, Ducroux C, Fahed R, Smajda S, Diestro JDB, Charbonnier G, Ognard J, Burel J, Ter Schiphorst A, Boulanger M, Nehme A, Boucherit J, Marnat G, Volders D, Holay Q, Forestier G, Bretzner M, Roy D, Vingadassalom S, Elhorany M, Nico L, Jacquin G, Abdalkader M, Guedon A, Seners P, Janot K, Dumas V, Olatunji R, Gazzola S, Milot G, Zehr J, Darsaut TE, Iancu D, Raymond J. The Management of Persistent Distal Occlusions after Mechanical Thrombectomy and Thrombolysis: An Inter- and Intrarater Agreement Study. AJNR Am J Neuroradiol 2024:ajnr.A8149. [PMID: 38388684 DOI: 10.3174/ajnr.a8149] [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] [Received: 08/22/2023] [Accepted: 10/24/2023] [Indexed: 02/24/2024]
Abstract
BACKGROUND AND PURPOSE The best management of patients with persistent distal occlusion after mechanical thrombectomy with or without IV thrombolysis remains unknown. We sought to evaluate the variability and agreement in decision-making for persistent distal occlusions. MATERIALS AND METHODS A portfolio of 60 cases was sent to clinicians with varying backgrounds and experience. Responders were asked whether they considered conservative management or rescue therapy (stent retriever, aspiration, or intra-arterial thrombolytics) a treatment option as well as their willingness to enroll patients in a randomized trial. Agreement was assessed using κ statistics. RESULTS The electronic survey was answered by 31 physicians (8 vascular neurologists and 23 interventional neuroradiologists). Decisions for rescue therapies were more frequent (n = 1116/1860, 60%) than for conservative management (n = 744/1860, 40%; P < .001). Interrater agreement regarding the final management decision was "slight" (κ = 0.12; 95% CI, 0.09-0.14) and did not improve when subgroups of clinicians were studied according to background, experience, and specialty or when cases were grouped according to the level of occlusion. On delayed re-questioning, 23 of 29 respondents (79.3%) disagreed with themselves on at least 20% of cases. Respondents were willing to offer trial participation in 1295 of 1860 (69.6%) cases. CONCLUSIONS Individuals did not agree regarding the best management of patients with persistent distal occlusion after mechanical thrombectomy and IV thrombolysis. There is sufficient uncertainty to justify a dedicated randomized trial.
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Affiliation(s)
- W Boisseau
- From the Department of Interventional Neuroradiology (W.B., S.S.), Fondation Rothschild Hospital, Paris, France
- Department of Radiology (W.B., A.B., D.R, D.I., J.R.), Centre Hospitalier de l'Université de Montréal Montréal, Canada
| | - A Benomar
- Department of Radiology (W.B., A.B., D.R, D.I., J.R.), Centre Hospitalier de l'Université de Montréal Montréal, Canada
| | - C Ducroux
- Department of Neurology (C.D., R.F.), Ottawa Hospital Research Institute & University of Ottawa, Ottawa, Canada
| | - R Fahed
- Department of Neurology (C.D., R.F.), Ottawa Hospital Research Institute & University of Ottawa, Ottawa, Canada
| | - S Smajda
- From the Department of Interventional Neuroradiology (W.B., S.S.), Fondation Rothschild Hospital, Paris, France
| | - J D B Diestro
- Division of Diagnostic and Therapeutic Neuroradiology (J.D.B.D., R.O.), Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - G Charbonnier
- Interventional Neuroradiology Department (G.C.), Besançon University Hospital, Besançon, France
| | - J Ognard
- Interventional Neuroradiology Department (J.O.), Hôpital de la Cavale Blanche, Brest, Bretagne, France
| | - J Burel
- Department of Radiology (J. Burel), Rouen University Hospital, Rouen, France
| | - A Ter Schiphorst
- Neurology Department (A.T.S.), CHRU Gui de Chauliac, Montpellier, France
| | - M Boulanger
- Department of Neurology (M. Boulanger, A.N.), Caen University Hospital, Caen, France
| | - A Nehme
- Department of Neurology (M. Boulanger, A.N.), Caen University Hospital, Caen, France
| | - J Boucherit
- Department of Radiology (J. Boucherit), Rennes University Hospital, Rennes, France
| | - G Marnat
- Department of Neuroradiology (G. Marnat), University Hospital of Bordeaux, Bordeaux, France
| | - D Volders
- From the Department of Interventional Neuroradiology (W.B., S.S.), Fondation Rothschild Hospital, Paris, France
| | - Q Holay
- Radiology Department (Q.H.), Hôpital d'Instruction des armées Saint-Anne, Toulon, France
| | - G Forestier
- Neuroradiology Department (G.F.), University Hospital of Limoges, Limoges, France
| | - M Bretzner
- Neuroradiology Department (M. Bretzner), CHU Lille, University Lille, Inserm, U1172 Lille Neuroscience & Cognition, F-59000, Lille, France
| | - D Roy
- Department of Radiology (W.B., A.B., D.R, D.I., J.R.), Centre Hospitalier de l'Université de Montréal Montréal, Canada
| | - S Vingadassalom
- Interventional Neuroradiology Department (S.V.), CHRU Marseille, La Timone, France
| | - M Elhorany
- Department of Neuroradiology (M.E.), Groupe Hospitalier de Pitié Salpêtrière, Paris, France
- Department of Neurology (M.E.), Tanta University, Tanta, Egypt
| | - L Nico
- Department of Radiology (L.N.), University Hospital of Padova, Padova, Italy
| | - G Jacquin
- Neurovascular Health Program (G.J.), Centre Hospitalier de l'Université de Montréal (CHUM), Montreal, Quebec, Canada
| | - M Abdalkader
- Department of Radiology (M.A.), Boston Medical Center, Boston University Chobanian & Avedisian School of Medicine, Boston, Massachusetts
| | - A Guedon
- Department of Neuroradiology (A.G.), Lariboisière Hospital, Paris, France
| | - P Seners
- Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Fondation Rothschild Hospital, Paris, France
- Institut de Psychiatrie et Neurosciences de Paris (P.S.), UMR_S1266, INSERM, Université de Paris, Paris, France
| | - K Janot
- Interventional Neuroradiology (K.J.), University Hospital of Tours, Tours, France
| | - V Dumas
- Radiology Department (V.D.), University Hospital of Poitiers, Poitiers, France
| | - R Olatunji
- Division of Diagnostic and Therapeutic Neuroradiology (J.D.B.D., R.O.), Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - S Gazzola
- From the Department of Interventional Neuroradiology (W.B., S.S.), Fondation Rothschild Hospital, Paris, France
- From the Department of Interventional Neuroradiology (W.B., S.S.), Fondation Rothschild Hospital, Paris, France
| | - G Milot
- Department of Radiology (W.B., A.B., D.R, D.I., J.R.), Centre Hospitalier de l'Université de Montréal Montréal, Canada
- Department of Radiology (W.B., A.B., D.R, D.I., J.R.), Centre Hospitalier de l'Université de Montréal Montréal, Canada
| | - J Zehr
- Department of Neurology (C.D., R.F.), Ottawa Hospital Research Institute & University of Ottawa, Ottawa, Canada
- Department of Neurology (C.D., R.F.), Ottawa Hospital Research Institute & University of Ottawa, Ottawa, Canada
| | - T E Darsaut
- Division of Diagnostic and Therapeutic Neuroradiology (J.D.B.D., R.O.), Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
- Division of Diagnostic and Therapeutic Neuroradiology (J.D.B.D., R.O.), Department of Medical Imaging, St. Michael's Hospital, University of Toronto, Toronto, Ontario, Canada
| | - D Iancu
- Department of Radiology (W.B., A.B., D.R, D.I., J.R.), Centre Hospitalier de l'Université de Montréal Montréal, Canada
| | - J Raymond
- Department of Radiology (W.B., A.B., D.R, D.I., J.R.), Centre Hospitalier de l'Université de Montréal Montréal, Canada
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Rocher M, Forestier G, Rouchaud A, Mounayer C, Beral L, Robert PY. [Transient cortical blindness: A frightening complication of cerebral embolization]. J Fr Ophtalmol 2023:S0181-5512(23)00318-2. [PMID: 37598100 DOI: 10.1016/j.jfo.2023.04.004] [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] [Received: 01/14/2023] [Revised: 03/31/2023] [Accepted: 04/03/2023] [Indexed: 08/21/2023]
Affiliation(s)
- M Rocher
- Service d'ophtalmologie, CHU de Limoges, 2, avenue Martin-Luther-King, 87000 Limoges, France.
| | - G Forestier
- Service de radiologie, CHU de Limoges, 2, avenue Martin-Luther-King, 87000 Limoges, France
| | - A Rouchaud
- Service de radiologie, CHU de Limoges, 2, avenue Martin-Luther-King, 87000 Limoges, France
| | - C Mounayer
- Service de radiologie, CHU de Limoges, 2, avenue Martin-Luther-King, 87000 Limoges, France
| | - L Beral
- Service d'ophtalmologie, CHU de Pointe-à-Pitre, route de Chauvel, Pointe-à-Pitre, Guadeloupe, France
| | - P-Y Robert
- Service d'ophtalmologie, CHU de Limoges, 2, avenue Martin-Luther-King, 87000 Limoges, France
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3
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Ben Hamida A, Devanne M, Weber J, Truntzer C, Derangère V, Ghiringhelli F, Forestier G, Wemmert C. Weakly Supervised Learning using Attention gates for colon cancer histopathological image segmentation. Artif Intell Med 2022; 133:102407. [PMID: 36328667 DOI: 10.1016/j.artmed.2022.102407] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [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: 02/16/2022] [Revised: 09/07/2022] [Accepted: 09/15/2022] [Indexed: 02/08/2023]
Abstract
Recently, Artificial Intelligence namely Deep Learning methods have revolutionized a wide range of domains and applications. Besides, Digital Pathology has so far played a major role in the diagnosis and the prognosis of tumors. However, the characteristics of the Whole Slide Images namely the gigapixel size, high resolution and the shortage of richly labeled samples have hindered the efficiency of classical Machine Learning methods. That goes without saying that traditional methods are poor in generalization to different tasks and data contents. Regarding the success of Deep learning when dealing with Large Scale applications, we have resorted to the use of such models for histopathological image segmentation tasks. First, we review and compare the classical UNet and Att-UNet models for colon cancer WSI segmentation in a sparsely annotated data scenario. Then, we introduce novel enhanced models of the Att-UNet where different schemes are proposed for the skip connections and spatial attention gates positions in the network. In fact, spatial attention gates assist the training process and enable the model to avoid irrelevant feature learning. Alternating the presence of such modules namely in our Alter-AttUNet model adds robustness and ensures better image segmentation results. In order to cope with the lack of richly annotated data in our AiCOLO colon cancer dataset, we suggest the use of a multi-step training strategy that also deals with the WSI sparse annotations and unbalanced class issues. All proposed methods outperform state-of-the-art approaches but Alter-AttUNet generates the best compromise between accurate results and light network. The model achieves 95.88% accuracy with our sparse AiCOLO colon cancer datasets. Finally, to evaluate and validate our proposed architectures we resort to publicly available WSI data: the NCT-CRC-HE-100K, the CRC-5000 and the Warwick colon cancer histopathological dataset. Respective accuracies of 99.65%, 99.73% and 79.03% were reached. A comparison with state-of-art approaches is established to view and compare the key solutions for histopathological image segmentation.
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Affiliation(s)
| | - M Devanne
- IRIMAS, University of Haute-Alsace, France
| | - J Weber
- IRIMAS, University of Haute-Alsace, France
| | - C Truntzer
- Platform of Transform in Biological Oncology, Dijon, France
| | - V Derangère
- Platform of Transform in Biological Oncology, Dijon, France
| | - F Ghiringhelli
- Platform of Transform in Biological Oncology, Dijon, France
| | | | - C Wemmert
- ICube, University of Strasbourg, France
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4
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Lognon P, Gariel F, Marnat G, Darcourt J, Constant Dit Beaufils P, Burel J, Shotar E, Hak JF, Fauché C, Kerleroux B, Guédon A, Ognard J, Forestier G, Pop R, Paya C, Veyrières JB, Sporns P, Girot JB, Zannoni R, Zhu F, Crespy A, L'Allinec V, Mihoc D, Rouchaud A, Gentric JC, Ben Hassen W, Raynaud N, Testud B, Clarençon F, Kaczmarek B, Bourcier R, Bellanger G, Boulouis G, Janot K. Prospective assessment of aneurysmal rupture risk scores in patients with subarachnoid hemorrhage: a multicentric cohort. Neuroradiology 2022; 64:2363-2371. [PMID: 35695927 DOI: 10.1007/s00234-022-02987-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [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: 03/02/2022] [Accepted: 05/20/2022] [Indexed: 12/21/2022]
Abstract
PURPOSE The natural evolution of unruptured intracranial aneurysms (UIA) is indeed difficult to predict at the individual level. OBJECTIVE In a large prospective multicentric European cohort, we aimed to evaluate whether the PHASES, UCAS, and ELPASS scores in patients with aneurysmal subarachnoid hemorrhage would have predicted a high risk of aneurysmal rupture or growth. METHODS Academic centers treating patients with intracranial aneurysms were invited to prospectively collect de-identified data from all patients admitted at their institution for a subarachnoid hemorrhage-related to intracranial aneurysmal rupture between January 1 and March 31, 2021 through a trainee-led research collaborative network. Each responding center was provided with an electronic case record form (CRF) which collected all the elements of the PHASES, ELAPSS, and UCAS scores. RESULTS A total of 319 patients with aneurysmal subarachnoid hemorrhage were included at 17 centers during a 3-month period. One hundred eighty-three aneurysms (57%) were less than 7 mm. The majority of aneurysms were located on the anterior communicating artery (n = 131, 41%). One hundred eighty-four patients (57%), 103 patients (32%), and 58 (18%) were classified as having a low risk of rupture or growth, according to the PHASES, UCAS, and ELAPSS scores, respectively. CONCLUSION In a prospective study of European patients with aneurysmal subarachnoid hemorrhage, we showed that 3 common risk-assessment tools designed for patients with unruptured intracranial aneurysms would have not identified most patients to be at high or intermediate risk for rupture, questioning their use for decision-making in the setting of unruptured aneurysms.
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Affiliation(s)
- P Lognon
- University Hospital of Tours, Tours, France
| | - F Gariel
- University Hospital of Bordeaux, Bordeaux, France
| | - G Marnat
- University Hospital of Bordeaux, Bordeaux, France
| | - J Darcourt
- University Hospital of Toulouse, Toulouse, France
| | - P Constant Dit Beaufils
- L'institut du Thorax, University of Nantes, INSERM, CNRS, Nantes, France.,University Hospital of Nantes, Nantes, France
| | - J Burel
- University Hospital of Rouen, Rouen, France
| | - E Shotar
- Pitié Salpêtrière Hospital, Paris, France
| | - J F Hak
- University Hospital of Marseille, Marseille, France
| | - C Fauché
- University Hospital of Poitiers, Poitiers, France
| | | | - A Guédon
- Lariboisière Hospital, Paris, France
| | - J Ognard
- University Hospital of Brest, Brest, France
| | - G Forestier
- University Hospital of Limoges, Limoges, France
| | - R Pop
- University Hospital of Strasbourg, Strasbourg, France
| | - C Paya
- University Hospital of Saint-Pierre, Saint-Pierre, La Réunion, France
| | - J B Veyrières
- University Hospital of Saint-Pierre, Saint-Pierre, La Réunion, France
| | - P Sporns
- University Hospital of Basel, Basel, Switzerland.,University Medical Center of Hamburg-Eppendorf, Hamburg, Germany
| | - J B Girot
- University Hospital of Angers, Angers, France
| | - R Zannoni
- University Hospital of Saint-Etienne, Saint-Etienne, France
| | - F Zhu
- University Hospital of Nancy, Nancy, France
| | - A Crespy
- University Hospital of Tours, Tours, France
| | - V L'Allinec
- University Hospital of Angers, Angers, France
| | - D Mihoc
- University Hospital of Strasbourg, Strasbourg, France
| | - A Rouchaud
- University Hospital of Limoges, Limoges, France
| | | | | | - N Raynaud
- University Hospital of Poitiers, Poitiers, France
| | - B Testud
- University Hospital of Marseille, Marseille, France
| | | | | | - R Bourcier
- L'institut du Thorax, University of Nantes, INSERM, CNRS, Nantes, France.,University Hospital of Nantes, Nantes, France
| | - G Bellanger
- University Hospital of Toulouse, Toulouse, France
| | - G Boulouis
- University Hospital of Tours, Tours, France
| | - Kevin Janot
- University Hospital of Tours, Tours, France.
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5
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Janot K, Fahed R, Rouchaud A, Zuber K, Boulouis G, Forestier G, Mounayer C, Piotin M. Parent Artery Straightening after Flow-Diverter Stenting Improves the Odds of Aneurysm Occlusion. AJNR Am J Neuroradiol 2022; 43:87-92. [PMID: 34794946 PMCID: PMC8757548 DOI: 10.3174/ajnr.a7350] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/23/2021] [Accepted: 09/16/2021] [Indexed: 01/03/2023]
Abstract
BACKGROUND AND PURPOSE Intracranial stents for the treatment of aneurysms can be responsible for parent artery straightening, a phenomenon with potential consequences for aneurysmal occlusion. We aimed to evaluate parent artery straightening following flow-diverter stent placement in patients with intracranial aneurysms and explored the association between parent artery straightening and subsequent aneurysm occlusion. MATERIALS AND METHODS All patients treated with flow-diverter stents for anterior circulation aneurysms located downstream from the carotid siphon between January 2009 and January 2018 were screened for inclusion. Parent artery straightening was defined as the difference (α-β) in the parent artery angle at the neck level before (α angle) and after flow-diverter stent deployment (β angle). We analyzed the procedural and imaging factors associated with parent artery straightening and the associations between parent artery straightening and aneurysmal occlusion. RESULTS Ninety-five patients met the inclusion criteria (n = 64/95 women, 67.4%; mean age, 54.1 [SD, 11.2] years) with 97 flow-diverter stents deployed for 99 aneurysms. Aneurysms were predominantly located at the MCA bifurcation (n = 44/95, 44.4%). Parent artery straightening was found to be more pronounced in patients treated with cobalt chromium stents than with nitinol stents (P = .02). In multivariate analysis, parent artery straightening (P = .04) was independently associated with aneurysm occlusion after flow-diverter stent deployment. CONCLUSIONS The use of flow-diverter stents for distal aneurysms induces a measurable parent artery straightening, which is associated with higher occlusion rates. Parent artery straightening, in our sample, appeared to be more prominent with cobalt chromium stents than with nitinol stents. This work highlights the necessary trade-off between navigability and parent artery straightening and may help tailor the selection of flow-diverter stents to aneurysms and parent artery characteristics.
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Affiliation(s)
- K. Janot
- From the Department of Interventional Neuroradiology (K.J., G.B.), University Hospital of Tours, Tours, France
| | - R. Fahed
- Department of Interventional Neuroradiology (R.F., M.P.)
| | - A. Rouchaud
- Department of Interventional Neuroradiology (A.R., G.F., C.M.), Dupuytren University Hospital, Limoges, Franc
| | - K. Zuber
- Research and Biostatistics Unit (K.Z.), Rothschild Foundation Hospital, Paris, France
| | - G. Boulouis
- From the Department of Interventional Neuroradiology (K.J., G.B.), University Hospital of Tours, Tours, France
| | - G. Forestier
- Department of Interventional Neuroradiology (A.R., G.F., C.M.), Dupuytren University Hospital, Limoges, Franc
| | - C. Mounayer
- Department of Interventional Neuroradiology (A.R., G.F., C.M.), Dupuytren University Hospital, Limoges, Franc
| | - M. Piotin
- Department of Interventional Neuroradiology (R.F., M.P.)
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6
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Benomar A, Farzin B, Gevry G, Boisseau W, Roy D, Weill A, Iancu D, Guilbert F, Létourneau-Guillon L, Jacquin G, Chaalala C, Bojanowski MW, Labidi M, Fahed R, Volders D, Nguyen TN, Gentric JC, Magro E, Boulouis G, Forestier G, Hak JF, Ghostine JS, Kaderali Z, Shankar JJ, Kotowski M, Darsaut TE, Raymond J. Noninvasive Angiographic Results of Clipped or Coiled Intracranial Aneurysms: An Inter- and Intraobserver Reliability Study. AJNR Am J Neuroradiol 2021; 42:1615-1620. [PMID: 34326106 DOI: 10.3174/ajnr.a7236] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2021] [Accepted: 04/28/2021] [Indexed: 01/16/2023]
Abstract
BACKGROUND AND PURPOSE Noninvasive angiography is commonly used to assess the outcome of surgical or endovascular treatment of intracranial aneurysms in clinical series or randomized trials. We sought to assess whether a standardized 3-grade classification system could be reliably used to compare the CTA and MRA results of both treatments. MATERIALS AND METHODS An electronic portfolio composed of CTAs of 30 clipped and MRAs of 30 coiled aneurysms was independently evaluated by 24 raters of diverse experience and training backgrounds. Twenty raters performed a second evaluation 1 month later. Raters were asked which angiographic grade and management decision (retreatment; close or long-term follow-up) would be most appropriate for each case. Agreement was analyzed using the Krippendorff α (αK) statistic, and the relationship between angiographic grade and clinical management choice, using the Fisher exact and Cramer V tests. RESULTS Interrater agreement was substantial (αK = 0.63; 95% CI, 0.55-0.70); results were slightly better for MRA results of coiling (αK = 0.69; 95% CI, 0.56-0.76) than for CTA results of clipping (αK = 0.58; 95% CI, 0.44-0.69). Intrarater agreement was substantial to almost perfect. Interrater agreement regarding clinical management was moderate for both clipped (αK = 0.49; 95% CI, 0.32-0.61) and coiled subgroups (αK = 0.47; 95% CI, 0.34-0.54). The choice of clinical management was strongly associated with the size of the residuum (mean Cramer V = 0.77 [SD, 0.14]), but complete occlusions (grade 1) were followed more closely after coiling than after clipping (P = .01). CONCLUSIONS A standardized 3-grade scale was found to be a reliable and clinically meaningful tool to compare the results of clipping and coiling of aneurysms using CTA or MRA.
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Affiliation(s)
- A Benomar
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - B Farzin
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - G Gevry
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - W Boisseau
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - D Roy
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - A Weill
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - D Iancu
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - F Guilbert
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - L Létourneau-Guillon
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
| | - G Jacquin
- Department of Medicine, Division of Neurology (G.J.)
| | - C Chaalala
- Division of Neurosurgery (C.C., M.W.B., M.L.), Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - M W Bojanowski
- Division of Neurosurgery (C.C., M.W.B., M.L.), Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - M Labidi
- Division of Neurosurgery (C.C., M.W.B., M.L.), Centre Hospitalier de l'Université de Montréal, Montreal, Quebec, Canada
| | - R Fahed
- Division ofNeurology (R.F.), The Ottawa Hospital Ottawa, Ontario, Canada
| | - D Volders
- Department of Diagnostic Radiology (D.V.), Queen Elizabeth II Health Sciences Centre, Halifax, Nova Scotia, Canada
| | - T N Nguyen
- Departments of Neurology, Neurosurgery, and Radiology (T.N.N.), Boston Medical Center, Boston, Massachusetts
| | - J-C Gentric
- Departments of Interventional Neuroradiology (J.-C.G.)
| | - E Magro
- Neurosurgery (E.M.), Hôpital de la Cavale Blanche, Centre Hospitalier Régional et Universitaire de Brest, Brest, France
| | - G Boulouis
- Department of Neuroradiology (G.B.), Centre Hospitalier Régional et Universitaire de Tours, Tours, France
| | - G Forestier
- Department of Neuroradiology (G.F.), University Hospital of Limoges, Limoges, France
| | - J-F Hak
- Department of Medical Imaging (J.-F.H.), University Hospital Timone Assistance Publique - Hôpitaux de Marseille, Marseille, France
| | - J S Ghostine
- Department of Radiology (J.S.G.), Jean-Talon Hospital, Montreal, Quebec, Canada
| | | | - J J Shankar
- Department of Radiology (J.J.S.), Health Sciences Centre, Winnipeg, Manitoba, Canada
| | - M Kotowski
- Department of Neurosurgery (M.K.), Hôpital de la Providence, Neuchâtel, Switzerland
| | - T E Darsaut
- Department of Surgery (T.E.D.), Division of Neurosurgery,Walter C. Mackenzie Health Sciences Centre, University of Alberta Hospital, Edmonton, Alberta, Canada
| | - J Raymond
- From the Department of Radiology (A.B., B.F., G.G., W.B., D.R., A.W., D.I., F.G., L.L.-G., J.R.)
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Lecler A, Broquet V, Bailleux J, Carsin B, Adle-Biassette H, Baloglu S, Forestier G, Bonneville F, Calvier E, Chauvet D, Comby PO, Cottier JP, Cotton F, Deschamps R, Diard-Detoeuf C, Ducray F, Drissi C, Elmaleh M, Farras J, Aguilar Garcia J, Gerardin E, Grand S, Jianu DC, Kremer S, Loiseau H, Magne N, Mejdoubi M, Moulignier A, Ollivier M, Nagi S, Rodallec M, Shor N, Tourdias T, Vandendries C, Anxionnat R, Duron L, Savatovsky J. Advanced multiparametric magnetic resonance imaging of multinodular and vacuolating neuronal tumor. Eur J Neurol 2020; 27:1561-1569. [PMID: 32301260 DOI: 10.1111/ene.14264] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [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: 01/23/2020] [Accepted: 04/10/2020] [Indexed: 12/01/2022]
Abstract
BACKGROUND AND PURPOSE Multinodular and vacuolating neuronal tumor (MVNT) of the cerebrum is a rare brain lesion with suggestive imaging features. The aim of our study was to report the largest series of MVNTs so far and to evaluate the utility of advanced multiparametric magnetic resonance (MR) techniques. METHODS This multicenter retrospective study was approved by our institutional research ethics board. From July 2014 to May 2019, two radiologists read in consensus the MR examinations of patients presenting with a lesion suggestive of an MVNT. They analyzed the lesions' MR characteristics on structural images and advanced multiparametric MR imaging. RESULTS A total of 64 patients (29 women and 35 men, mean age 44.2 ± 15.1 years) from 25 centers were included. Lesions were all hyperintense on fluid-attenuated inversion recovery and T2-weighted imaging without post-contrast enhancement. The median relative apparent diffusion coefficient on diffusion-weighted imaging was 1.13 [interquartile range (IQR), 0.2]. Perfusion-weighted imaging showed no increase in perfusion, with a relative cerebral blood volume of 1.02 (IQR, 0.05) and a relative cerebral blood flow of 1.01 (IQR, 0.08). MR spectroscopy showed no abnormal peaks. Median follow-up was 2 (IQR, 1.2) years, without any changes in size. CONCLUSIONS A comprehensive characterization protocol including advanced multiparametric magnetic resonance imaging sequences showed no imaging patterns suggestive of malignancy in MVNTs. It might be useful to better characterize MVNTs.
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Affiliation(s)
- A Lecler
- Department of Neuroradiology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France
| | - V Broquet
- Department of Neuroradiology, CHU Lille, Lille, France
| | - J Bailleux
- Department of Neuroradiology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France
| | - B Carsin
- Department of Radiology, CHRU de Rennes, Rennes, France
| | - H Adle-Biassette
- Department of Pathology, Lariboisière Hospital, Paris Diderot, Paris-Cité-Sorbonne University, Paris, France
| | - S Baloglu
- Department of Radiology, University Hospital of Strasbourg, Strasbourg, France
| | - G Forestier
- Department of Neuroradiology, CHU Limoges, Limoges, France
| | - F Bonneville
- Department of Neuroradiology, Hôpital Pierre-Paul-Riquet, CHU Purpan, Toulouse, France
| | - E Calvier
- Neurology Department, Hôpital René et Guillaume-Laënnec, CHU de Nantes, Saint-Herblain, France
| | - D Chauvet
- Department of Neurosurgery, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France
| | - P O Comby
- Department of Vascular and Interventional Radiology, Image-Guided Therapy Center, François-Mitterrand University Hospital, Dijon, France
| | - J P Cottier
- Department of Radiology, CHRU de Tours, Tours, France.,Brain and Imaging laboratory, UMR U930, INSERM, François-Rabelais University, Tours, France
| | - F Cotton
- Service de Radiologie, Centre Hospitalier Lyon-Sud, 69495 Pierre-Bénite, Hospices Civils de Lyon, University Claude Bernard Lyon 1, Lyon, France
| | - R Deschamps
- Department of Neurology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France
| | | | - F Ducray
- Department of Neuro-oncology, Lyon French Reference Center of Paraneoplastic Neurological Syndrome, Hospices Civils de Lyon, Lyon, France
| | - C Drissi
- Faculté de Médecine de Tunis, Institut National de Neurologie, Service de Neuroradiologie, Université de Tunis El Manar, Tunis, Tunisia
| | - M Elmaleh
- Pediatric Radiology Department, Robert Debré Hospital, Paris, France
| | - J Farras
- Jordi Radiologia C/ de la Roda, Andorra la Vella, Andorra
| | - J Aguilar Garcia
- Neurology Department, Hôpital René et Guillaume-Laënnec, CHU de Nantes, Saint-Herblain, France
| | - E Gerardin
- Department of Neuroradiology and MRI, Rouen University Hospital, Rouen, France
| | - S Grand
- Neuroradiologie diagnostique et interventionnelle et IRM Nord 'Centre Hospitalier et Universitaire de Alpes Grenoble', Grenoble, France
| | - D C Jianu
- Department of Neurology, Victor Babes University of Medecine and Pharmacy, Timisoara, Romania
| | - S Kremer
- Department of Radiology, University Hospital of Strasbourg, Strasbourg, France
| | - H Loiseau
- Service de Neurochirurgie, CHU de Bordeaux, Université de Bordeaux, Bordeaux, France
| | - N Magne
- Department of Neuroradiology and MRI, Rouen University Hospital, Rouen, France
| | - M Mejdoubi
- Department of Neuroradiology, University Hospital of Martinique, Fort-de-France, France
| | - A Moulignier
- Department of Neurology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France
| | - M Ollivier
- Service de Radiologie, Groupe Hospitalier Pellegrin, Bordeaux, France
| | - S Nagi
- Faculté de Médecine de Tunis, Institut National de Neurologie, Service de Neuroradiologie, Université de Tunis El Manar, Tunis, Tunisia.,Clinique les Berges du Lac, rue du Lac de Constance, Tunis, Tunisia
| | - M Rodallec
- Centre d'Imagerie Centre Cardiologique du Nord, CCN, Saint-Denis, France
| | - N Shor
- Department of Neuroradiology, Pitié-Salpêtrière Hospital, Paris, France
| | - T Tourdias
- Service de Neuroimagerie Diagnostique et Thérapeutique, CHU de Bordeaux et INSERM U1215, Université de Bordeaux, Bordeaux, France
| | - C Vandendries
- Department of Neuroradiology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France.,Centre d'Imagerie Médicale Paris 15ème, RMX, Paris, France
| | - R Anxionnat
- Service de Radiologie, CHU de Nancy, Nancy, France
| | - L Duron
- Department of Neuroradiology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France
| | - J Savatovsky
- Department of Neuroradiology, Fondation Ophtalmologique Adolphe de Rothschild, Paris, France.,Centre d'Imagerie Paris 13, Paris, France
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Darbas T, Forestier G, Léobon S, Pestre J, Jésus P, Lachatre D, Descazeaud A, Tubiana-Mathieu N, Deluche E. Identification et impact de la sarcopénie chez les patients en surpoids et obèses avec un carcinome à cellules rénales localisé. NUTR CLIN METAB 2020. [DOI: 10.1016/j.nupar.2020.02.372] [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: 11/30/2022]
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Pelaccia T, Forestier G, Wemmert C. Une intelligence artificielle raisonne-t-elle de la même façon que les cliniciens pour poser des diagnostics ? Rev Med Interne 2020; 41:192-195. [DOI: 10.1016/j.revmed.2019.12.014] [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] [Received: 11/06/2019] [Accepted: 12/23/2019] [Indexed: 11/26/2022]
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Darbas T, Forestier G, Léobon S, Pestre J, Jésus P, Lachatre D, Descazeaud A, Tubiana-Mathieu N, Deluche E. MON-PO391: Identification and Impact of Sarcopenia in Overweight and Obese Patients with Localized Renal Cell Carcinoma. Clin Nutr 2019. [DOI: 10.1016/s0261-5614(19)32224-1] [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: 11/25/2022]
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