1
|
McGale JP, Howell HJ, Beddok A, Tordjman M, Sun R, Chen D, Wu AM, Assi T, Ammari S, Dercle L. Integrating Artificial Intelligence and PET Imaging for Drug Discovery: A Paradigm Shift in Immunotherapy. Pharmaceuticals (Basel) 2024; 17:210. [PMID: 38399425 PMCID: PMC10892847 DOI: 10.3390/ph17020210] [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: 12/25/2023] [Revised: 02/02/2024] [Accepted: 02/05/2024] [Indexed: 02/25/2024] Open
Abstract
The integration of artificial intelligence (AI) and positron emission tomography (PET) imaging has the potential to become a powerful tool in drug discovery. This review aims to provide an overview of the current state of research and highlight the potential for this alliance to advance pharmaceutical innovation by accelerating the development and deployment of novel therapeutics. We previously performed a scoping review of three databases (Embase, MEDLINE, and CENTRAL), identifying 87 studies published between 2018 and 2022 relevant to medical imaging (e.g., CT, PET, MRI), immunotherapy, artificial intelligence, and radiomics. Herein, we reexamine the previously identified studies, performing a subgroup analysis on articles specifically utilizing AI and PET imaging for drug discovery purposes in immunotherapy-treated oncology patients. Of the 87 original studies identified, 15 met our updated search criteria. In these studies, radiomics features were primarily extracted from PET/CT images in combination (n = 9, 60.0%) rather than PET imaging alone (n = 6, 40.0%), and patient cohorts were mostly recruited retrospectively and from single institutions (n = 10, 66.7%). AI models were used primarily for prognostication (n = 6, 40.0%) or for assisting in tumor phenotyping (n = 4, 26.7%). About half of the studies stress-tested their models using validation sets (n = 4, 26.7%) or both validation sets and test sets (n = 4, 26.7%), while the remaining six studies (40.0%) either performed no validation at all or used less stringent methods such as cross-validation on the training set. Overall, the integration of AI and PET imaging represents a paradigm shift in drug discovery, offering new avenues for more efficient development of therapeutics. By leveraging AI algorithms and PET imaging analysis, researchers could gain deeper insights into disease mechanisms, identify new drug targets, or optimize treatment regimens. However, further research is needed to validate these findings and address challenges such as data standardization and algorithm robustness.
Collapse
Affiliation(s)
- Jeremy P. McGale
- Department of Radiology, New York-Presbyterian Hospital, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA (H.J.H.)
| | - Harrison J. Howell
- Department of Radiology, New York-Presbyterian Hospital, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA (H.J.H.)
| | - Arnaud Beddok
- Department of Radiation Oncology, Institut Godinot, 51100 Reims, France
| | - Mickael Tordjman
- Department of Radiology, Hôtel Dieu Hospital, APHP, 75014 Paris, France
| | - Roger Sun
- Department of Radiation Oncology, Gustave Roussy, 94800 Villejuif, France
| | - Delphine Chen
- Department of Molecular Imaging and Therapy, Fred Hutchinson Cancer Center, Seattle, WA 98109, USA
- Department of Radiology, University of Washington, Seattle, WA 98195, USA
| | - Anna M. Wu
- Department of Immunology and Theranostics, Beckman Research Institute of City of Hope, Duarte, CA 91010, USA;
| | - Tarek Assi
- International Department, Gustave Roussy Cancer Campus, 94805 Villejuif, France
| | - Samy Ammari
- Department of Medical Imaging, BIOMAPS, UMR1281 INSERM, CEA, CNRS, Gustave Roussy, Université Paris-Saclay, 94800 Villejuif, France
- ELSAN Department of Radiology, Institut de Cancérologie Paris Nord, 95200 Sarcelles, France
| | - Laurent Dercle
- Department of Radiology, New York-Presbyterian Hospital, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA (H.J.H.)
| |
Collapse
|
2
|
Guermazi A, Omoumi P, Tordjman M, Fritz J, Kijowski R, Regnard NE, Carrino J, Kahn CE, Knoll F, Rueckert D, Roemer FW, Hayash D. Erratum for: How AI May Transform Musculoskeletal Imaging. Radiology 2024; 310:e249002. [PMID: 38289220 PMCID: PMC10831476 DOI: 10.1148/radiol.249002] [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: 02/04/2024]
|
3
|
Guermazi A, Omoumi P, Tordjman M, Fritz J, Kijowski R, Regnard NE, Carrino J, Kahn CE, Knoll F, Rueckert D, Roemer FW, Hayashi D. How AI May Transform Musculoskeletal Imaging. Radiology 2024; 310:e230764. [PMID: 38165245 PMCID: PMC10831478 DOI: 10.1148/radiol.230764] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2023] [Revised: 06/18/2023] [Accepted: 07/11/2023] [Indexed: 01/03/2024]
Abstract
While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized musculoskeletal radiologists to interpret the studies. Will artificial intelligence (AI) be the solution? For AI to be the solution, the wide implementation of AI-supported data acquisition methods in clinical practice requires establishing trusted and reliable results. This implementation will demand close collaboration between core AI researchers and clinical radiologists. Upon successful clinical implementation, a wide variety of AI-based tools can improve the musculoskeletal radiologist's workflow by triaging imaging examinations, helping with image interpretation, and decreasing the reporting time. Additional AI applications may also be helpful for business, education, and research purposes if successfully integrated into the daily practice of musculoskeletal radiology. The question is not whether AI will replace radiologists, but rather how musculoskeletal radiologists can take advantage of AI to enhance their expert capabilities.
Collapse
Affiliation(s)
- Ali Guermazi
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Patrick Omoumi
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Mickael Tordjman
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Jan Fritz
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Richard Kijowski
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Nor-Eddine Regnard
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - John Carrino
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Charles E. Kahn
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Florian Knoll
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Daniel Rueckert
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Frank W. Roemer
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| | - Daichi Hayashi
- From the Department of Radiology, Boston University School of
Medicine, Boston, Mass (A.G., F.W.R., D.H.); Department of Radiology, VA Boston
Healthcare System, 1400 VFW Parkway, Suite 1B105, West Roxbury, MA 02132 (A.G.);
Department of Radiology, Lausanne University Hospital and University of
Lausanne, Lausanne, Switzerland (P.O.); Department of Radiology, Hotel Dieu
Hospital and University Paris Cité, Paris, France (M.T.); Department of
Radiology, New York University Grossman School of Medicine, New York, NY (J.F.,
R.K.); Gleamer, Paris, France (N.E.R.); Réseau d’Imagerie Sud
Francilien, Clinique du Mousseau Ramsay Santé, Evry, France (N.E.R.);
Pôle Médical Sénart, Lieusaint, France (N.E.R.); Department
of Radiology and Imaging, Hospital for Special Surgery and Weill Cornell
Medicine, New York, NY (J.C.); Department of Radiology and Institute for
Biomedical Informatics, University of Pennsylvania, Philadelphia, Penn (C.E.K.);
Departments of Artificial Intelligence in Biomedical Engineering (F.K.) and
Radiology (F.W.R.), Universitätsklinikum Erlangen &
Friedrich-Alexander Universität Erlangen-Nürnberg, Erlangen,
Germany (F.K.); School of Medicine & Computation, Information and
Technology Klinikum rechts der Isar, Technical University Munich,
München, Germany (D.R.); Department of Computing, Imperial College
London, London, England (D.R.); and Department of Radiology, Tufts Medical
Center, Tufts University School of Medicine, Boston, Mass (D.H.)
| |
Collapse
|
4
|
Galinié P, Eyssartier C, Sauret C, Tordjman M, Pissonier ML, Carlier R, Skalli W, Vergari C. In-vivo characterization of the lumbar annulus fibrosus in adults with ultrasonography and shear wave elastography. Med Eng Phys 2023; 120:104044. [PMID: 37838398 DOI: 10.1016/j.medengphy.2023.104044] [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] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 07/05/2023] [Accepted: 08/25/2023] [Indexed: 10/16/2023]
Abstract
In vivo characterization of intervertebral disc (IVD) mechanical properties and microstructure could give an insight into the onset and progression of disc pathologies. Ultrasound shearwave elastography provided promising results in children, but feasibility in adult lumbar discs, which are deep in the abdomen, was never proved. The aim of this work was to determine the feasibility and reliability of ultrasound assessment of lumbar IVD in adults. Thirty asymptomatic adults were included (22 to 67 years old). Subjects were lying supine, and the annulus fibrosus of the L3-L4 IVD was imaged by conventional ultrasonography and shearwave elastography. Shear wave speed (SWS) and lamellar thickness were measured. Reliability was determined through repeated measurements acquired by three operators. Average SWS in AF at the L3L4 level was 4.0 ± 0.9 m/s, with an inter-operator uncertainty of 8.7%, while lamellar thickness was 255 ± 27 µm with an uncertainty of 9.6%. Measurement was not feasible in one out of four subjects with BMI > 24 kg/m² (overweight). Ultrasound assessment of annulus fibrosus revealed feasible, within certain limitations, and reproducible. This method gives an insight into disc microstructure and mechanical properties, and it could be applied for the early detection or follow-up of disc pathologies.
Collapse
Affiliation(s)
- Priscilla Galinié
- Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, 151 bd de l'Hôpital, 75013, Paris, France
| | - Camille Eyssartier
- Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, 151 bd de l'Hôpital, 75013, Paris, France; Fédération Française de Gymnastique, Paris, France
| | - Christophe Sauret
- Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, 151 bd de l'Hôpital, 75013, Paris, France; Centre d'Etudes et de Recherche sur l'Appareillage des Handicapés, Institution Nationale des Invalides, France
| | - Mickael Tordjman
- Medical Imaging Department, Raymond Poincaré Hospital, 104 bd Raymond Poincaré, 92380, GARCHES, France
| | - Marie-Line Pissonier
- Medical Imaging Department, Raymond Poincaré Hospital, 104 bd Raymond Poincaré, 92380, GARCHES, France
| | - Robert Carlier
- Medical Imaging Department, Raymond Poincaré Hospital, 104 bd Raymond Poincaré, 92380, GARCHES, France
| | - Wafa Skalli
- Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, 151 bd de l'Hôpital, 75013, Paris, France
| | - Claudio Vergari
- Arts et Métiers Sciences et Technologies, Institut de Biomécanique Humaine Georges Charpak, 151 bd de l'Hôpital, 75013, Paris, France.
| |
Collapse
|
5
|
de Nettancourt A, Derdevet J, Dahmane L, Jaffal K, Perronne V, Tordjman M, Noussair L, Dinh A. [A vertebral polymicrobial osteomyelitis with atypicial microorganisms: A case report]. Rev Med Interne 2023; 44:190-194. [PMID: 36775692 DOI: 10.1016/j.revmed.2023.01.009] [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: 07/24/2022] [Revised: 12/10/2022] [Accepted: 01/08/2023] [Indexed: 02/12/2023]
Abstract
Vertebral Osteomyelitis (VO) is a rare disease, which has seen a gradual increase in its incidence over the past years. Here, we report a case, showing how difficult it can be to diagnose and manage a therapy in case of atypical microorganism. A 68-year-old man was hospitalized for a VO documented by blood cultures at Bacteroides fragilis. He first progressed favorably, but an increase in lumbar pain prompted, after an IRM, a percutaneous needle biopsy (PNB) that documented a recurrent VO at Corynebacterium striatum. In the face of this multi-microbial VO with atypicals microorganisms, a first PNB could have been discussed despite the positive blood cultures. This case report illustrates the complexity of management of VO, and its evolution according to the latest recommendations (interest of RMI during the follow-up, place of the TEP-scan, terms and conditions of immobilization, antibiotic administration methods).
Collapse
Affiliation(s)
- A de Nettancourt
- Service de maladies infectieuses et tropicales, hôpital Raymond-Poincaré, AP-HP, Garches, France
| | - J Derdevet
- Service de maladies infectieuses et tropicales, hôpital Raymond-Poincaré, AP-HP, Garches, France.
| | - L Dahmane
- Service de maladies infectieuses et tropicales, hôpital Raymond-Poincaré, AP-HP, Garches, France
| | - K Jaffal
- Service de maladies infectieuses et tropicales, hôpital Raymond-Poincaré, AP-HP, Garches, France
| | - V Perronne
- Service de maladies infectieuses et tropicales, hôpital Raymond-Poincaré, AP-HP, Garches, France
| | - M Tordjman
- Service de radiologie, hôpital Raymond-Poincaré, AP-HP, Garches, France
| | - L Noussair
- Service de microbiologie, hôpital Raymond-Poincaré, AP-HP, Garches, France
| | - A Dinh
- Service de maladies infectieuses et tropicales, hôpital Raymond-Poincaré, AP-HP, Garches, France
| |
Collapse
|
6
|
Chen AM, Gerhalter T, Dehkharghani S, Peralta R, Gajdošík M, Gajdošík M, Tordjman M, Zabludovsky J, Sheriff S, Ahn S, Babb JS, Bushnik T, Zarate A, Silver JM, Im BS, Wall SP, Madelin G, Kirov II. Replicability of proton MR spectroscopic imaging findings in mild traumatic brain injury: Implications for clinical applications. Neuroimage Clin 2023; 37:103325. [PMID: 36724732 PMCID: PMC9898311 DOI: 10.1016/j.nicl.2023.103325] [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] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Revised: 11/06/2022] [Accepted: 01/16/2023] [Indexed: 01/20/2023]
Abstract
PURPOSE Proton magnetic resonance spectroscopy (1H MRS) offers biomarkers of metabolic damage after mild traumatic brain injury (mTBI), but a lack of replicability studies hampers clinical translation. In a conceptual replication study design, the results reported in four previous publications were used as the hypotheses (H1-H7), specifically: abnormalities in patients are diffuse (H1), confined to white matter (WM) (H2), comprise low N-acetyl-aspartate (NAA) levels and normal choline (Cho), creatine (Cr) and myo-inositol (mI) (H3), and correlate with clinical outcome (H4); additionally, a lack of findings in regional subcortical WM (H5) and deep gray matter (GM) structures (H6), except for higher mI in patients' putamen (H7). METHODS 26 mTBI patients (20 female, age 36.5 ± 12.5 [mean ± standard deviation] years), within two months from injury and 21 age-, sex-, and education-matched healthy controls were scanned at 3 Tesla with 3D echo-planar spectroscopic imaging. To test H1-H3, global analysis using linear regression was used to obtain metabolite levels of GM and WM in each brain lobe. For H4, patients were stratified into non-recovered and recovered subgroups using the Glasgow Outcome Scale Extended. To test H5-H7, regional analysis using spectral averaging estimated metabolite levels in four GM and six WM structures segmented from T1-weighted MRI. The Mann-Whitney U test and weighted least squares analysis of covariance were used to examine mean group differences in metabolite levels between all patients and all controls (H1-H3, H5-H7), and between recovered and non-recovered patients and their respectively matched controls (H4). Replicability was defined as the support or failure to support the null hypotheses in accordance with the content of H1-H7, and was further evaluated using percent differences, coefficients of variation, and effect size (Cohen's d). RESULTS Patients' occipital lobe WM Cho and Cr levels were 6.0% and 4.6% higher than controls', respectively (Cho, d = 0.37, p = 0.04; Cr, d = 0.63, p = 0.03). The same findings, i.e., higher patients' occipital lobe WM Cho and Cr (both p = 0.01), but with larger percent differences (Cho, 8.6%; Cr, 6.3%) and effect sizes (Cho, d = 0.52; Cr, d = 0.88) were found in the comparison of non-recovered patients to their matched controls. For the lobar WM Cho and Cr comparisons without statistical significance (frontal, parietal, temporal), unidirectional effect sizes were observed (Cho, d = 0.07 - 0.37; Cr, d = 0.27 - 0.63). No differences were found in any metabolite in any lobe in the comparison between recovered patients and their matched controls. In the regional analyses, no differences in metabolite levels were found in any GM or WM region, but all WM regions (posterior, frontal, corona radiata, and the genu, body, and splenium of the corpus callosum) exhibited unidirectional effect sizes for Cho and Cr (Cho, d = 0.03 - 0.34; Cr, d = 0.16 - 0.51). CONCLUSIONS We replicated findings of diffuse WM injury, which correlated with clinical outcome (supporting H1-H2, H4). These findings, however, were among the glial markers Cho and Cr, not the neuronal marker NAA (not supporting H3). No differences were found in regional GM and WM metabolite levels (supporting H5-H6), nor in putaminal mI (not supporting H7). Unidirectional effect sizes of higher patients' Cho and Cr within all WM analyses suggest widespread injury, and are in line with the conclusion from the previous publications, i.e., that detection of WM injury may be more dependent upon sensitivity of the 1H MRS technique than on the selection of specific regions. The findings lend further support to the corollary that clinic-ready 1H MRS biomarkers for mTBI may best be achieved by using high signal-to-noise-ratio single-voxels placed anywhere within WM. The biochemical signature of the injury, however, may differ and therefore absolute levels, rather than ratios may be preferred. Future replication efforts should further test the generalizability of these findings.
Collapse
Affiliation(s)
- Anna M Chen
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Teresa Gerhalter
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Seena Dehkharghani
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA; Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA
| | - Rosemary Peralta
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Mia Gajdošík
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Martin Gajdošík
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Mickael Tordjman
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA; Department of Radiology, Hôpital Cochin, Paris, France
| | - Julia Zabludovsky
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Sulaiman Sheriff
- Department of Radiology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sinyeob Ahn
- Siemens Medical Solutions USA Inc., Malvern, PA, USA
| | - James S Babb
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Tamara Bushnik
- Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Alejandro Zarate
- Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Jonathan M Silver
- Department of Psychiatry, New York University Grossman School of Medicine, New York, NY, USA
| | - Brian S Im
- Department of Rehabilitation Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Stephen P Wall
- Ronald O. Perelman Department of Emergency Medicine, New York University Grossman School of Medicine, New York, NY, USA
| | - Guillaume Madelin
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA
| | - Ivan I Kirov
- Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA; Department of Neurology, New York University Grossman School of Medicine, New York, NY, USA; Center for Advanced Imaging Innovation and Research, Department of Radiology, New York University Grossman School of Medicine, New York, NY, USA.
| |
Collapse
|
7
|
Le Tat T, Carlier R, El Hajjam M, Sarrot GM, Obadia I, Tordjman M, Zhou J. Endovascular treatment of haemorrhagic pancreatic serous cystadenoma. CVIR Endovasc 2022; 5:65. [PMID: 36513864 DOI: 10.1186/s42155-022-00343-w] [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: 08/30/2022] [Accepted: 11/28/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND Pancreatic microcystic serous cystadenoma are rare benign pancreatic tumors. No treatment is needed in most cases as this lesion is often discovered incidentally. Surgery is not required except in symptomatic cases. CASE PRESENTATION We report herein a rare case of pancreatic serous cystadenoma complicated with a hemorrhage in a 95 years old patient treated with arterial embolization since surgery was not possible. The patient recovered without any adverse events or bleed recurrence in the 6 months following the procedure. CONCLUSION Hemorrhage secondary to a pancreatic serous cystadenoma was successfully treated with arterial embolization, which may represent an alternative therapeutic option to surgery.
Collapse
Affiliation(s)
- Thomas Le Tat
- Ambroise Paré Hospital (AP-HP), Imaging Department, 9 Av. Charles de Gaulle, 92100, Boulogne-Billancourt, France.
| | - Robert Carlier
- Ambroise Paré Hospital (AP-HP), Imaging Department, 9 Av. Charles de Gaulle, 92100, Boulogne-Billancourt, France
| | - Mostafa El Hajjam
- Ambroise Paré Hospital (AP-HP), Imaging Department, 9 Av. Charles de Gaulle, 92100, Boulogne-Billancourt, France
| | - Guillaume-Marie Sarrot
- Ambroise Paré Hospital (AP-HP), Imaging Department, 9 Av. Charles de Gaulle, 92100, Boulogne-Billancourt, France
| | - Ilan Obadia
- Ambroise Paré Hospital (AP-HP), Imaging Department, 9 Av. Charles de Gaulle, 92100, Boulogne-Billancourt, France
| | - Mickael Tordjman
- Ambroise Paré Hospital (AP-HP), Imaging Department, 9 Av. Charles de Gaulle, 92100, Boulogne-Billancourt, France
| | - Jeffery Zhou
- Ambroise Paré Hospital (AP-HP), Imaging Department, 9 Av. Charles de Gaulle, 92100, Boulogne-Billancourt, France
| |
Collapse
|
8
|
Biyoukar M, Corpechot C, El Mouhadi S, Chambenois E, Vanderbecq Q, Barbu V, Dong C, Lemoinne S, Tordjman M, Jomaah R, Chazouilleres O, Arrivé L. ABCB4 variant is associated with hepatobiliary MR abnormalities in people with low phospholipid associated cholelithiasis syndrome. JHEP Rep 2022; 4:100590. [PMID: 36277956 PMCID: PMC9582794 DOI: 10.1016/j.jhepr.2022.100590] [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] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 08/09/2022] [Accepted: 08/29/2022] [Indexed: 11/18/2022] Open
Affiliation(s)
- Moustafa Biyoukar
- Department of Radiology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP) and Sorbonne University, Paris, France
| | - Christophe Corpechot
- Reference Center for Inflammatory Biliary Diseases and Autoimmune Hepatitis, ERN Rare-Liver, Department of Hepatology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP), and INSERM, UMRS 938 Sorbonne University, Paris, France
| | - Sanaâ El Mouhadi
- Department of Radiology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP) and Sorbonne University, Paris, France
| | - Edouard Chambenois
- Department of Radiology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP) and Sorbonne University, Paris, France
| | - Quentin Vanderbecq
- Department of Radiology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP) and Sorbonne University, Paris, France
| | - Véronique Barbu
- Reference Center for Inflammatory Biliary Diseases and Autoimmune Hepatitis, ERN Rare-Liver, Department of Hepatology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP), and INSERM, UMRS 938 Sorbonne University, Paris, France
| | - Catherine Dong
- Reference Center for Inflammatory Biliary Diseases and Autoimmune Hepatitis, ERN Rare-Liver, Department of Hepatology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP), and INSERM, UMRS 938 Sorbonne University, Paris, France
| | - Sara Lemoinne
- Reference Center for Inflammatory Biliary Diseases and Autoimmune Hepatitis, ERN Rare-Liver, Department of Hepatology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP), and INSERM, UMRS 938 Sorbonne University, Paris, France
| | - Mickael Tordjman
- Department of Radiology, Raymond Poincaré Hospital, Assistance Publique – Hôpitaux de Paris (APHP), Garches, France
| | - Raphel Jomaah
- Faculty of Arts and Science, University of Toronto, Toronto, ON, Canada
| | - Olivier Chazouilleres
- Reference Center for Inflammatory Biliary Diseases and Autoimmune Hepatitis, ERN Rare-Liver, Department of Hepatology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP), and INSERM, UMRS 938 Sorbonne University, Paris, France
| | - Lionel Arrivé
- Department of Radiology, Saint-Antoine Hospital, Assistance Publique – Hôpitaux de Paris (APHP) and Sorbonne University, Paris, France
- Corresponding author. Address: Department of Radiology, Saint-Antoine Hospital, 184 rue du Faubourg Saint-Antoine, 75012 Paris, France. Tel.: +33-149282257.
| |
Collapse
|
9
|
Mascitti H, Sivadon-Tardy V, Bougnoux ME, Duran C, Tordjman M, Colombier MA, Bourgault-Villada I, Dinh A. Arthritis Caused by Nannizziopsis obscura, France. Emerg Infect Dis 2022; 28:1929-1931. [PMID: 35997528 PMCID: PMC9423906 DOI: 10.3201/eid2809.220375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
Nannizziopsis spp., fungi responsible for emerging diseases, are rarely involved in human bone and joint infections. We present a rare case of septic arthritis with necrotizing cellulitis caused by N. obscura in a patient in France who had undergone kidney transplant. Rapid, aggressive medical and surgical management led to a favorable outcome.
Collapse
|
10
|
de Nettancourt A, Dahmane L, Noussair L, Tordjman M, Davido B. Esophageal brucellosis? Straight to the goat. Int J Infect Dis 2022; 122:276-278. [PMID: 35640829 DOI: 10.1016/j.ijid.2022.05.054] [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: 04/28/2022] [Revised: 05/23/2022] [Accepted: 05/25/2022] [Indexed: 11/29/2022] Open
Abstract
We report the case of a 58-year-old immunocompetent man from Algeria, who presented to the hospital with fever and hepatic cytolysis. Abdominal computed tomography scan showed a homogeneous splenomegaly and a hypodense 12-mm mass on the posterior wall of the esophagus. After ruling out tuberculosis, the patient was diagnosed with brucellosis. Patient was cured after receiving 6 weeks of oral doxycycline and intravenous gentamicin during the 7 first days of therapy. Such treatment was considered as an acceptable alternative of the recommended first-line therapy. This case illustrates the diagnostic issues in the context of an authentic brucellosis presenting as upper gastrointestinal symptoms, with impaired general condition.
Collapse
Affiliation(s)
- Annabel de Nettancourt
- Infectious Diseases Unit, Raymond Poincaré Teaching Hospital, AP-HP, Versailles Saint-Quentin University, Garches, France
| | - Lotfi Dahmane
- Infectious Diseases Unit, Raymond Poincaré Teaching Hospital, AP-HP, Versailles Saint-Quentin University, Garches, France; UMR 1173, Université Paris Saclay, Montigny le Bretonneux, France
| | - Latifa Noussair
- Microbiology Unit, Raymond Poincaré Teaching Hospital, AP-HP, Versailles Saint-Quentin University, Garches, France
| | - Mickael Tordjman
- Radiology department, Raymond Poincaré Teaching Hospital, AP-HP, Versailles Saint-Quentin University, Garches, France
| | - Benjamin Davido
- Infectious Diseases Unit, Raymond Poincaré Teaching Hospital, AP-HP, Versailles Saint-Quentin University, Garches, France; UMR 1173, Université Paris Saclay, Montigny le Bretonneux, France.
| |
Collapse
|
11
|
Mezghani S, Salga M, Tordjman M, Amar R, Carlier RY, Chiche L. Heterotopic Ossification and COVID 19: imaging analysis of ten consecutive cases. Eur J Radiol 2022; 152:110336. [PMID: 35523038 PMCID: PMC9055793 DOI: 10.1016/j.ejrad.2022.110336] [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] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Revised: 04/19/2022] [Accepted: 04/21/2022] [Indexed: 11/18/2022]
Abstract
Purpose Method Results Conclusion
Collapse
Affiliation(s)
- Sarah Mezghani
- APHP - GHU Paris Saclay, DMU Smart Imaging, Department of Radiology, Raymond Poincaré Teaching Hospital, Garches, France.
| | - Marjorie Salga
- Department of Physical Medicine and Rehabilitation, Raymond Poincaré Teaching Hospital, France; CIC 1429, Garches, France.
| | - Mickael Tordjman
- APHP - GHU Paris Saclay, DMU Smart Imaging, Department of Radiology, Raymond Poincaré Teaching Hospital, Garches, France.
| | - Raphaël Amar
- APHP - GHU Paris Saclay, DMU Smart Imaging, Department of Radiology, Ambroise Paré Teaching Hospital, Boulogne, France.
| | - Robert-Yves Carlier
- APHP - GHU Paris Saclay, DMU Smart Imaging, Department of Radiology, Raymond Poincaré Teaching Hospital, Garches, France; APHP - GHU Paris Saclay, DMU Smart Imaging, Department of Radiology, Ambroise Paré Teaching Hospital, Boulogne, France; UMR 1179 End-icap Université Versailles Saint-Quentin en Yveline/Paris-Saclay, France.
| | - Lea Chiche
- APHP - GHU Paris Saclay, DMU Smart Imaging, Department of Radiology, Raymond Poincaré Teaching Hospital, Garches, France.
| |
Collapse
|
12
|
Tordjman M, Pouchelon C, Canouï E, Omri M, Dion E. Sternal mass caused by Mycobacterium tuberculosis in an immunocompetent young adult. J Travel Med 2021; 28:6134593. [PMID: 33580959 DOI: 10.1093/jtm/taab021] [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: 01/16/2021] [Revised: 02/07/2021] [Accepted: 02/08/2021] [Indexed: 11/14/2022]
Abstract
Differential diagnosis of sternal masses in migrant patients should include tuberculosis. Imaging characteristics on computed tomography scan and magnetic resonance imaging are of great interest. Sternal tuberculous abscess exhibits a slightly hyperintense rim on T1-weighted pre-contrast images that can be associated with osteomyelitis of the sternum.
Collapse
Affiliation(s)
- Mickael Tordjman
- Department of Radiology, Hôtel Dieu Hospital, Assistance Publique des Hôpitaux de Paris, Université de Paris, Paris, France
| | - Clara Pouchelon
- Department of Internal medicine, Cochin Hospital, Assistance Publique des Hôpitaux de Paris, Université de Paris, Paris, France
| | - Etienne Canouï
- Antimicrobial Stewardship Team GH Paris Centre, Cochin Hospital, APHP, Paris, France
| | - Manel Omri
- Department of Radiology, Hôtel Dieu Hospital, Assistance Publique des Hôpitaux de Paris, Université de Paris, Paris, France
| | - Elisabeth Dion
- Department of Radiology, Hôtel Dieu Hospital, Assistance Publique des Hôpitaux de Paris, Université de Paris, Paris, France
| |
Collapse
|
13
|
Mihoubi Bouvier F, Thomas De Montpréville V, Besse B, Missenard G, Court C, Tordjman M, Le Pechoux C, Leroy Ladurie F, Balleyguier C, Fadel E, Caramella C. Can MRI differentiate surrounding vertebral invasion from reactive inflammatory changes in superior sulcus tumor? Eur Radiol 2021; 31:8991-8999. [PMID: 33991225 DOI: 10.1007/s00330-021-08001-w] [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] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 03/25/2021] [Accepted: 04/16/2021] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Vertebral invasion is a key prognostic factor and a critical aspect of surgical planning for superior sulcus tumors. This study aims to further evaluate MRI features of vertebral invasion in order to distinguish it from reactive inflammatory changes. METHODS Between 2000 and 2016, a retrospective study was performed at a single institution. All patients with superior sulcus tumors undergoing surgery, including at least two partial vertebrectomies, were included. An expert radiologist evaluated qualitative and quantitative MRI signal intensity characteristics (contrast-to-noise ratio [CNR]) of suspected involved and non-involved vertebrae. A comparison of CNR of invaded and sane vertebrae was performed using non-parametric tests. Imaging data were correlated with pathological findings. RESULTS A total of 92 surgical samples of vertebrectomy were analyzed. The most specific sequences for invasion were T1 and T2 weighted (92% and 97%, respectively). The most sensitive sequences were contrast enhanced T1 weighted fat suppressed and T2 weighted fat suppressed (100% and 80%). Loss of extrapleural paravertebral fat on the T1-weighted sequence was highly sensitive (100%) but not specific (63%). Using quantitative analysis, the optimum cut-off (p < 0.05) to distinguish invasion from reactive inflammatory changes was CNR > 11 for the T2-weighted fat-sat sequence (sensitivity 100%), CNR > 9 for contrast-enhanced T1-weighted fat-suppressed sequence (sensitivity 100%), and CNR < - 30 for the T1-weighted sequence (specificity 97%). Combining these criteria, 23 partial vertebrectomies could have been avoided in our cohort. CONCLUSION Qualitative and quantitative MRI analyses are useful to discriminate vertebral invasion from reactive inflammatory changes. KEY POINTS • Abnormal signal intensity in a vertebral body adjacent to a superior sulcus tumor may be secondary to direct invasion or reactive inflammatory changes. • Accurate differentiation between invasion and reactive inflammatory changes significantly impacts surgical planning. T1w and T2w are the best sequences to differentiate malignant versus benign bone marrow changes. The use of quantitative analysis improves MRI specificity. • Using contrast media improves the sensitivity for the detection of tumor invasion.
Collapse
Affiliation(s)
- Fadila Mihoubi Bouvier
- Department of Radiology, Gustave Roussy Cancer Campus, 114 Rue Edouard Vaillant, Villejuif, 94800, Paris, France.
| | | | - Benjamin Besse
- Department of Medical Oncology, Gustave Roussy Cancer Campus, University of Paris Sud, Villejuif, Paris, France
| | - Gilles Missenard
- Orthopaedic Department, Tumor and Spine Unit, Bicêtre University Hospital, AP-HP Paris, University of Paris Sud, Le Kremlin-Bicêtre, Paris, France
| | - Charles Court
- Orthopaedic Department, Tumor and Spine Unit, Bicêtre University Hospital, AP-HP Paris, University of Paris Sud, Le Kremlin-Bicêtre, Paris, France
| | - Mickael Tordjman
- Department of Osteoarticular Radiology, Cochin Hospital, AP-HP Paris, Paris, France
| | - Cécile Le Pechoux
- Department of Radiation Oncology, Gustave Roussy Cancer Campus, University of Paris Sud, Villejuif, Paris, France
| | - François Leroy Ladurie
- Department of Pneumology, Marie Lannelongue Hospital University of Paris Sud Le Plessis Robinson, Paris, France
| | - Corinne Balleyguier
- Department of Radiology, Gustave Roussy Cancer Campus, 114 Rue Edouard Vaillant, Villejuif, 94800, Paris, France
| | - Elie Fadel
- Department of Thoracic and Vascular Surgery and Heart-Lung Transplantation, Marie Lannelongue Hospital, University of Paris Sud, Le Plessis Robinson, Paris, France
| | - Caroline Caramella
- Department of Radiology, Gustave Roussy Cancer Campus, 114 Rue Edouard Vaillant, Villejuif, 94800, Paris, France
| |
Collapse
|
14
|
Tordjman M, Madelin G, Gupta PK, Cordova C, Kurz SC, Orringer D, Golfinos J, Kondziolka D, Ge Y, Wang RL, Lazar M, Jain R. Functional connectivity of the default mode, dorsal attention and fronto-parietal executive control networks in glial tumor patients. J Neurooncol 2021; 152:347-355. [PMID: 33528739 DOI: 10.1007/s11060-021-03706-w] [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: 11/24/2020] [Accepted: 01/20/2021] [Indexed: 10/22/2022]
Abstract
PURPOSE Resting state functional magnetic resonance imaging (rsfMRI) is an emerging tool to explore the functional connectivity of different brain regions. We aimed to assess the disruption of functional connectivity of the Default Mode Network (DMN), Dorsal Attention Network(DAN) and Fronto-Parietal Network (FPN) in patients with glial tumors. METHODS rsfMRI data acquired on 3T-MR of treatment-naive glioma patients prospectively recruited (2015-2019) and matched controls from the 1000 functional-connectomes-project were analyzed using the CONN functional toolbox. Seed-Based Connectivity Analysis (SBCA) and Independent Component Analysis (ICA, with 10 to 100 components) were performed to study reliably the three networks of interest. RESULTS 35 patients with gliomas (17 WHO grade I-II, 18 grade III-IV) and 70 controls were included. Global increased DMN connectivity was consistently found with SBCA and ICA in patients compared to controls (Cluster1: Precuneus, height: p < 10-6; Cluster2: subcallosum; height: p < 10-5). However, an area of decreased connectivity was found in the posterior corpus callosum, particularly in high-grade gliomas (height: p < 10-5). The DAN demonstrated small areas of increased connectivity in frontal and occipital regions (height: p < 10-6). For the FPN, increased connectivity was noted in the precuneus, posterior cingulate gyrus, and frontal cortex. No difference in the connectivity of the networks of interest was demonstrated between low- and high-grade gliomas, as well as when stratified by their IDH1-R132H (isocitrate dehydrogenase) mutation status. CONCLUSION Altered functional connectivity is reliably found with SBCA and ICA in the DMN, DAN, and FPN in glioma patients, possibly explained by decreased connectivity between the cerebral hemispheres across the corpus callosum due to disruption of the connections.
Collapse
Affiliation(s)
- Mickael Tordjman
- Department of Radiology, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA.
| | - Guillaume Madelin
- Department of Radiology, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| | - Pradeep Kumar Gupta
- Department of Radiology, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| | - Christine Cordova
- Perlmutter Cancer Center, Brain and Spine Tumor Center, NYU Langone Health, 240 E 38th Street, New York, NY, 10016, USA
| | - Sylvia C Kurz
- Perlmutter Cancer Center, Brain and Spine Tumor Center, NYU Langone Health, 240 E 38th Street, New York, NY, 10016, USA
| | - Daniel Orringer
- Department of Neurosurgery, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| | - John Golfinos
- Department of Neurosurgery, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| | - Douglas Kondziolka
- Department of Neurosurgery, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| | - Yulin Ge
- Department of Radiology, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| | - Ruoyu Luie Wang
- Department of Radiology, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| | - Mariana Lazar
- Department of Radiology, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| | - Rajan Jain
- Department of Radiology, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA.,Department of Neurosurgery, New York University Grossman School of Medicine, 650 First Avenue, New York, NY, 10022, USA
| |
Collapse
|
15
|
Tordjman M, Mekki A, Mali RD, Saab I, Chassagnon G, Guillo E, Burns R, Eshagh D, Beaune S, Madelin G, Bessis S, Feydy A, Mihoubi F, Doumenc B, Mouthon L, Carlier RY, Drapé JL, Revel MP. Pre-test probability for SARS-Cov-2-related infection score: The PARIS score. PLoS One 2020; 15:e0243342. [PMID: 33332360 PMCID: PMC7745977 DOI: 10.1371/journal.pone.0243342] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Accepted: 11/19/2020] [Indexed: 01/08/2023] Open
Abstract
INTRODUCTION In numerous countries, large population testing is impossible due to the limited availability of RT-PCR kits and CT-scans. This study aimed to determine a pre-test probability score for SARS-CoV-2 infection. METHODS This multicenter retrospective study (4 University Hospitals) included patients with clinical suspicion of SARS-CoV-2 infection. Demographic characteristics, clinical symptoms, and results of blood tests (complete white blood cell count, serum electrolytes and CRP) were collected. A pre-test probability score was derived from univariate analyses of clinical and biological variables between patients and controls, followed by multivariate binary logistic analysis to determine the independent variables associated with SARS-CoV-2 infection. RESULTS 605 patients were included between March 10th and April 30th, 2020 (200 patients for the training cohort, 405 consecutive patients for the validation cohort). In the multivariate analysis, lymphocyte (<1.3 G/L), eosinophil (<0.06 G/L), basophil (<0.04 G/L) and neutrophil counts (<5 G/L) were associated with high probability of SARS-CoV-2 infection but no clinical variable was statistically significant. The score had a good performance in the validation cohort (AUC = 0.918 (CI: [0.891-0.946]; STD = 0.014) with a Positive Predictive Value of high-probability score of 93% (95%CI: [0.89-0.96]). Furthermore, a low-probability score excluded SARS-CoV-2 infection with a Negative Predictive Value of 98% (95%CI: [0.93-0.99]). The performance of the score was stable even during the last period of the study (15-30th April) with more controls than infected patients. CONCLUSIONS The PARIS score has a good performance to categorize the pre-test probability of SARS-CoV-2 infection based on complete white blood cell count. It could help clinicians adapt testing and for rapid triage of patients before test results.
Collapse
Affiliation(s)
| | - Ahmed Mekki
- Department of Radiology, Ambroise Paré Hospital, APHP, Boulogne, France
| | - Rahul D. Mali
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, United States of America
| | - Ines Saab
- Department of Radiology, Cochin Hospital, APHP, Paris, France
| | - Guillaume Chassagnon
- Department of Radiology, Cochin Hospital, APHP, Paris, France
- Université de Paris, Paris, France
| | - Enora Guillo
- Department of Radiology, Cochin Hospital, APHP, Paris, France
| | - Robert Burns
- Department of Radiology, Cochin Hospital, APHP, Paris, France
| | - Deborah Eshagh
- Department of Internal Medicine, Saint Antoine Hospital, APHP, Paris, France
| | - Sebastien Beaune
- Emergency Department, Ambroise Paré Hospital, APHP, Boulogne, France
| | - Guillaume Madelin
- Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, New York, United States of America
| | - Simon Bessis
- Department of Infectious diseases, Raymond Poincaré Hospital, APHP, Garches, France
| | - Antoine Feydy
- Department of Radiology, Cochin Hospital, APHP, Paris, France
- Université de Paris, Paris, France
| | - Fadila Mihoubi
- Department of Radiology, Cochin Hospital, APHP, Paris, France
| | - Benoit Doumenc
- Emergency Department, Cochin Hospital, APHP, Paris, France
| | - Luc Mouthon
- Department of Internal Medicine, Cochin Hospital, APHP, Paris, France
| | - Robert-Yves Carlier
- Department of Radiology, Ambroise Paré Hospital, APHP, Boulogne, France
- Department of Radiology, Raymond Poincaré Hospital, APHP, Garches, France
- DMU Smart Imaging, APHP, Paris, France
| | - Jean-Luc Drapé
- Department of Radiology, Cochin Hospital, APHP, Paris, France
- Université de Paris, Paris, France
| | - Marie-Pierre Revel
- Department of Radiology, Cochin Hospital, APHP, Paris, France
- Université de Paris, Paris, France
| |
Collapse
|
16
|
Ben Hassen W, Tordjman M, Boulouis G, Bretzner M, Bricout N, Legrand L, Benzakoun J, Edjlali M, Seners P, Cordonnier C, Oppenheim C, Turc G, Henon H, Naggara O. Benefit of first-pass complete reperfusion in thrombectomy is mediated by limited infarct growth. Eur J Neurol 2020; 28:124-131. [PMID: 32896067 DOI: 10.1111/ene.14490] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [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: 05/11/2020] [Accepted: 08/18/2020] [Indexed: 01/19/2023]
Abstract
BACKGROUND AND PURPOSE The number of clot retrieval attempts required to achieve complete reperfusion by mechanical thrombectomy impacts functional outcome in acute ischaemic stroke (AIS). Complete reperfusion [expanded Treatment In Cerebral Infarction (eTICI) score = 3] at first pass (FP), is associated with the highest rates of favorable outcome compared to complete reperfusion by multiple passes. The aim of the present study was to investigate the relationship between FP complete reperfusion and infarct growth (IG). METHODS Anterior AIS patients with baseline and 24-h diffusion-weighted magnetic resonance imaging were included from two prospective registries. IG was measured by voxel-based segmentation of initial and 24-h diffusion-weighted imaging lesions. IG and favorable 3-month modified Rankin Scale (mRS) score (≤ 2) were compared between patients in whom complete reperfusion (eTICI 3) was achieved with a single pass (FP group) and those for whom multiple passes were required (MP group), after matching for confounding factors. Mediation analysis was performed to examine the association between FP and 3-month mRS score, with IG as mediating variable. RESULTS A total of 200 patients were included, of whom 118 (28.9%) had FP complete reperfusion. In case-control analysis, the FP group had lower IG than the MP group [8.7 (5.4-12.9) ml vs. 15.2 (11-22.6) ml, respectively; P = 0.03). Favorable outcome was higher in the FP population compared to a matched MP population (70.9% vs. 53.2%, respectively; P = 0.04). FP compete reperfusion (eTICI 3) was independently associated with favorable outcome in multivariable regression analysis [odds ratio 1.86, 95% confidence interval (CI) 1.01-4.39; P = 0.04]. The effect of complete reperfusion at FP on functional outcome was explained by limited IG in mediation analysis [indirect effect: -0.32 (95% CI -0.47 to -0.09)]. CONCLUSION Complete reperfusion at FP is independently associated with significant decrease in IG compared to complete reperfusion by multiple attempts, explaining better functional outcomes.
Collapse
Affiliation(s)
- W Ben Hassen
- INSERM UMR 1266, Department of Neuroradiology, Université de Paris, Paris, France
| | - M Tordjman
- INSERM UMR 1266, Department of Neuroradiology, Université de Paris, Paris, France
| | - G Boulouis
- INSERM UMR 1266, Department of Neuroradiology, Université de Paris, Paris, France
| | - M Bretzner
- Department of Interventional Neuroradiology, University of Lille, CHU Lille, Lille, France
| | - N Bricout
- Department of Interventional Neuroradiology, University of Lille, CHU Lille, Lille, France
| | - L Legrand
- INSERM UMR 1266, Department of Neuroradiology, Université de Paris, Paris, France
| | - J Benzakoun
- INSERM UMR 1266, Department of Neuroradiology, Université de Paris, Paris, France
| | - M Edjlali
- INSERM UMR 1266, Department of Neuroradiology, Université de Paris, Paris, France
| | - P Seners
- Department of Neurology, CH Sainte-Anne, Paris, France
| | - C Cordonnier
- Department of Vascular Neurology, Stroke Unit, University of Lille, CHU Lille, Lille, France
| | - C Oppenheim
- INSERM UMR 1266, Department of Neuroradiology, Université de Paris, Paris, France
| | - G Turc
- Department of Neurology, CH Sainte-Anne, Paris, France
| | - H Henon
- Department of Vascular Neurology, Stroke Unit, University of Lille, CHU Lille, Lille, France
| | - O Naggara
- INSERM UMR 1266, Department of Neuroradiology, Université de Paris, Paris, France
| |
Collapse
|
17
|
Guillo E, Bedmar Gomez I, Dangeard S, Bennani S, Saab I, Tordjman M, Jilet L, Chassagnon G, Revel MP. COVID-19 pneumonia: Diagnostic and prognostic role of CT based on a retrospective analysis of 214 consecutive patients from Paris, France. Eur J Radiol 2020; 131:109209. [PMID: 32810701 PMCID: PMC7414360 DOI: 10.1016/j.ejrad.2020.109209] [Citation(s) in RCA: 34] [Impact Index Per Article: 8.5] [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: 06/08/2020] [Revised: 07/16/2020] [Accepted: 08/03/2020] [Indexed: 02/07/2023]
Abstract
OBJECTIVES To evaluate the diagnostic and prognostic performance of CT in patients referred for COVID19 suspicion to a French university hospital, depending on symptoms and date of onset. METHODS From March 1st to March 28th, 214 patients having both chest CT scan and reverse transcriptase polymerase chain reaction (RT- PCT) within 24 h were retrospectively evaluated. Sensitivity, specificity, negative and positive predictive values of first and expert readings were calculated together with inter reader agreement, with results of RT-PCR as standard of reference and according to symptoms and onset date. Patient characteristics and disease extent on CT were correlated to short-term outcome (death or intubation at 3 weeks follow-up). RESULTS Of the 214 patients (119 men, mean age 59 ± 19 years), 129 had at least one positive RT-PCR result. Sensitivity, specificity, negative and positive predictive values were 79 % (95 % CI: 71-86 %), 84 %(74-91 %), 72 %(63-81 %) and 88 % (81-93 %) for initial CT reading and 81 %(74-88 %), 91 % (82-96 %), 76 % (67-84 %) and 93 % (87-97 %), for expert reading, with strong inter-reader agreement (kappa index: 0.89). Considering the 123 patients with symptoms for more than 5 days, the corresponding figures were 90 %, 78 %, 80 % and 89 % for initial reading and 93 %, 88 %, 86 % and 94 % for the expert. Disease extent exceeded 25 % for 68 % and 26 % of severe and non-severe patients, respectively (p < 0.001). CONCLUSION CT sensitivity increased after 5 days of symptoms. A disease extent > 25 % was associated with poorer outcome.
Collapse
Affiliation(s)
- Enora Guillo
- Department of Radiology, Cochin Hospital, AP-HP. Centre, 75014, Paris, France
| | - Ines Bedmar Gomez
- Department of Radiology, Cochin Hospital, AP-HP. Centre, 75014, Paris, France
| | - Severine Dangeard
- Department of Radiology, Cochin Hospital, AP-HP. Centre, 75014, Paris, France
| | - Souhail Bennani
- Department of Radiology, Cochin Hospital, AP-HP. Centre, 75014, Paris, France
| | - Ines Saab
- Department of Radiology, Cochin Hospital, AP-HP. Centre, 75014, Paris, France; Université de Paris, Descartes-Paris 5, 75006, Paris, France
| | - Mickael Tordjman
- Department of Radiology, Cochin Hospital, AP-HP. Centre, 75014, Paris, France
| | - Lea Jilet
- Unité de Recherche Clinique Centre d'Investigation Clinique, Paris Descartes Necker/Cochin, Hôpital Tarnier, 75014, Paris, France
| | - Guillaume Chassagnon
- Department of Radiology, Cochin Hospital, AP-HP. Centre, 75014, Paris, France; Université de Paris, Descartes-Paris 5, 75006, Paris, France
| | - Marie-Pierre Revel
- Department of Radiology, Cochin Hospital, AP-HP. Centre, 75014, Paris, France; Université de Paris, Descartes-Paris 5, 75006, Paris, France.
| |
Collapse
|
18
|
Bompard F, Monnier H, Saab I, Tordjman M, Abdoul H, Fournier L, Sanchez O, Lorut C, Chassagnon G, Revel MP. Pulmonary embolism in patients with COVID-19 pneumonia. Eur Respir J 2020; 56:13993003.01365-2020. [PMID: 32398297 PMCID: PMC7236820 DOI: 10.1183/13993003.01365-2020] [Citation(s) in RCA: 252] [Impact Index Per Article: 63.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Accepted: 04/29/2020] [Indexed: 12/18/2022]
Abstract
Acute respiratory distress syndrome development in patients with coronavirus disease 2019 (COVID-19) pneumonia is associated with a high mortality rate and is the main cause of death in patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection [1]. Myocardial injury has also been reported to be significantly associated with fatal outcome, with a 37% mortality rate in patients without prior cardiovascular disease but elevated troponin levels [2]. A D-dimer level of >1 μg·mL−1 has been clearly identified as a risk factor for poor outcome in SARS-Cov-2 infection [3], with recent reports highlighting a high incidence of thrombotic events in intensive care unit (ICU) patients [4]. A normal D-dimer level allows the safe exclusion of pulmonary embolism (PE) in outpatients with a low or intermediate clinical probability of PE, but there is no recommendation to use D-dimer as a positive marker of thrombosis because of lack of specificity. This study reports an overall 24% (95% CI 17–32%) cumulative incidence of pulmonary embolism in patients with COVID-19 pneumonia, 50% (30–70%) in ICU and 18% (12–27%) in other patientshttps://bit.ly/35s7hjm
Collapse
Affiliation(s)
- Florian Bompard
- Dept of Radiology, Cochin Hospital, AP-HP Centre, Paris, France
| | - Hippolyte Monnier
- Dept of Radiology, Hôpital Européen Georges-Pompidou, AP-HP Centre, Paris, France
| | - Ines Saab
- Dept of Radiology, Cochin Hospital, AP-HP Centre, Paris, France.,Université de Paris, Descartes-Paris 5, Paris, France
| | | | - Hendy Abdoul
- Unité de Recherche Clinique Centre d'Investigation Clinique, Paris Descartes Necker/Cochin, Hôpital Tarnier, Paris, France
| | - Laure Fournier
- Dept of Radiology, Hôpital Européen Georges-Pompidou, AP-HP Centre, Paris, France.,Université de Paris, Descartes-Paris 5, Paris, France
| | - Olivier Sanchez
- Université de Paris, Descartes-Paris 5, Paris, France.,Dept of Pulmonology and Intensive Care, Hôpital Européen Georges-Pompidou, AP-HP Centre, Paris, France
| | - Christine Lorut
- Dept of Pulmonology, Cochin Hospital, AP-HP Centre, Paris, France
| | - Guillaume Chassagnon
- Dept of Radiology, Cochin Hospital, AP-HP Centre, Paris, France.,Université de Paris, Descartes-Paris 5, Paris, France
| | - Marie-Pierre Revel
- Dept of Radiology, Cochin Hospital, AP-HP Centre, Paris, France .,Université de Paris, Descartes-Paris 5, Paris, France
| |
Collapse
|
19
|
Neveu S, Saab I, Dangeard S, Bennani S, Tordjman M, Chassagnon G, Revel MP. Incidental diagnosis of Covid-19 pneumonia on chest computed tomography. Diagn Interv Imaging 2020; 101:457-461. [PMID: 32571747 PMCID: PMC7284233 DOI: 10.1016/j.diii.2020.05.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/27/2020] [Accepted: 05/29/2020] [Indexed: 01/18/2023]
Abstract
PURPOSE The purpose of this study was to determine the prevalence and imaging characteristics of incidentally diagnosed COVID-19 pneumonia on computed tomography (CT). MATERIALS AND METHODS This retrospective study was conducted between March 20th and March 31st, 2020 at Cochin hospital, Paris France. Thoracic CT examinations of all patients referred for another reason than a suspicion of SARS-CoV-2 infection were reviewed. CT images were analyzed by a chest radiologist to confirm the presence of findings consistent with COVID-19 pneumonia and quantify disease extent. Clinical and biological data (C-reactive protein serum level [CRP] and white blood cell count) of patients with CT findings suggestive for COVID-19 pneumonia were retrieved from the electronic medical chart. RESULTS During the study period, among 205 diagnostic CT examinations, six examinations (6/205, 3%) in 6 different patients (4 men, 2 women; median age, 57 years) revealed images highly suggestive of COVID-19 pneumonia. The final diagnosis was confirmed by RT-PCR. Three inpatients were suspected of extra thoracic infection whereas three outpatients were either fully asymptomatic or presented with fatigue only. All had increased CRP serum level and lymphopenia. Disease extent on CT was mild to moderate in 5/6 patients (83%) and severe in 1/6 patient (17%). CONCLUSION Cumulative incidence of fortuitous diagnosis if COVID-19 pneumonia did not exceed 3% during the highest pandemic phase and was predominantly associated with limited lung involvement.
Collapse
Affiliation(s)
- S Neveu
- Department of Radiology, Hopital Cochin, AP-HP centre, 75014 Paris, France
| | - I Saab
- Department of Radiology, Hopital Cochin, AP-HP centre, 75014 Paris, France; Université de Paris, Descartes-Paris 5, 75006 Paris, France
| | - S Dangeard
- Department of Radiology, Hopital Cochin, AP-HP centre, 75014 Paris, France
| | - S Bennani
- Department of Radiology, Hopital Cochin, AP-HP centre, 75014 Paris, France
| | - M Tordjman
- Department of Radiology, Hopital Cochin, AP-HP centre, 75014 Paris, France
| | - G Chassagnon
- Department of Radiology, Hopital Cochin, AP-HP centre, 75014 Paris, France; Université de Paris, Descartes-Paris 5, 75006 Paris, France
| | - M-P Revel
- Department of Radiology, Hopital Cochin, AP-HP centre, 75014 Paris, France; Université de Paris, Descartes-Paris 5, 75006 Paris, France.
| |
Collapse
|
20
|
Tordjman M, Dabaj I, Laforet P, Felter A, Ferreiro A, Biyoukar M, Law-Ye B, Zanoteli E, Castiglioni C, Rendu J, Beroud C, Chamouni A, Richard P, Mompoint D, Quijano-Roy S, Carlier RY. Muscular MRI-based algorithm to differentiate inherited myopathies presenting with spinal rigidity. Eur Radiol 2018; 28:5293-5303. [PMID: 29802573 DOI: 10.1007/s00330-018-5472-5] [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: 01/10/2018] [Revised: 04/01/2018] [Accepted: 04/10/2018] [Indexed: 11/26/2022]
Abstract
OBJECTIVES Inherited myopathies are major causes of muscle atrophy and are often characterized by rigid spine syndrome, a clinical feature designating patients with early spinal contractures. We aim to present a decision algorithm based on muscular whole body magnetic resonance imaging (mWB-MRI) as a unique tool to orientate the diagnosis of each inherited myopathy long before the genetically confirmed diagnosis. METHODS This multicentre retrospective study enrolled 79 patients from referral centres in France, Brazil and Chile. The patients underwent 1.5-T or 3-T mWB-MRI. The protocol comprised STIR and T1 sequences in axial and coronal planes, from head to toe. All images were analyzed manually by multiple raters. Fatty muscle replacement was evaluated on mWB-MRI using both the Mercuri scale and statistical comparison based on the percentage of affected muscle. RESULTS Between February 2005 and December 2015, 76 patients with genetically confirmed inherited myopathy were included. They were affected by Pompe disease or harbored mutations in RYR1, Collagen VI, LMNA, SEPN1, LAMA2 and MYH7 genes. Each myopathy had a specific pattern of affected muscles recognizable on mWB-MRI. This allowed us to create a novel decision algorithm for patients with rigid spine syndrome by segregating these signs. This algorithm was validated by five external evaluators on a cohort of seven patients with a diagnostic accuracy of 94.3% compared with the genetic diagnosis. CONCLUSION We provide a novel decision algorithm based on muscle fat replacement graded on mWB-MRI that allows diagnosis and differentiation of inherited myopathies presenting with spinal rigidity. KEY POINTS • Inherited myopathies are rare, diagnosis is challenging and genetic tests require specialized centres and often take years. • Inherited myopathies are often characterized by spinal rigidity. • Whole body magnetic resonance imaging is a unique tool to orientate the diagnosis of each inherited myopathy presenting with spinal rigidity. • Each inherited myopathy in this study has a specific pattern of affected muscles that orientate diagnosis. • A novel MRI-based algorithm, usable by every radiologist, can help the early diagnosis of these myopathies.
Collapse
Affiliation(s)
- Mickael Tordjman
- Assistance Publique des Hôpitaux de Paris (AP-HP), Service d'Imagerie Médicale, Pôle Neuro-locomoteur, Hôpital Raymond Poincaré, Garches, Hôpitaux Universitaires Paris-Ile-de-France Ouest, Garches, France.
| | - Ivana Dabaj
- Pôle Pédiatrie, Hôpital Raymond Poincaré, Garches, France - Centre de Référence Maladies Neuromusculaires GNMH, FILNEMUS, Garches, France
| | - Pascal Laforet
- Département de Neurologie, Unité Clinique de Pathologie Neuromusculaire, Institut de Myologie, CHU La Pitié Salpêtrière, APHP, Paris, France
| | - Adrien Felter
- Assistance Publique des Hôpitaux de Paris (AP-HP), Service d'Imagerie Médicale, Pôle Neuro-locomoteur, Hôpital Raymond Poincaré, Garches, Hôpitaux Universitaires Paris-Ile-de-France Ouest, Garches, France
| | - Ana Ferreiro
- Service de Génétique, Hôpital Raymond Poincaré, APHP, Garches, Hôpitaux Universitaires Paris-Ile-de-France Ouest, Garches, France
| | - Moustafa Biyoukar
- Unité de Recherche Clinique, Hôpital Saint-Antoine, APHP, Paris, Hôpitaux Universitaires Est Parisien, Garches, France
| | - Bruno Law-Ye
- Assistance Publique des Hôpitaux de Paris (AP-HP), Service d'Imagerie Médicale, Pôle Neuro-locomoteur, Hôpital Raymond Poincaré, Garches, Hôpitaux Universitaires Paris-Ile-de-France Ouest, Garches, France
| | - Edmar Zanoteli
- Department of Neurology, Medical School of the University of São Paulo, São Paulo, Brazil
| | - Claudia Castiglioni
- Neuromuscular and Motor Disorders Program Clinica Las Condes, Pediatric Neurology, Santiago, Chile
| | - John Rendu
- Département de Biochimie, Toxicologie, Pharmacologie et Génétique Moléculaire, CHU Grenoble Alpes, Grenoble, France
| | - Christophe Beroud
- Département de Génétique Médicale, AP-HM, Hôpital Timone Enfants, Marseille, France
| | | | - Pascale Richard
- UF de Cardiogénétique et Myogénétique Moléculaire et Cellulaire, Centre de Génétique Moléculaire et Chromosomique, CHU La Pitié Salpêtrière, APHP, Paris, France
| | - Dominique Mompoint
- Assistance Publique des Hôpitaux de Paris (AP-HP), Service d'Imagerie Médicale, Pôle Neuro-locomoteur, Hôpital Raymond Poincaré, Garches, Hôpitaux Universitaires Paris-Ile-de-France Ouest, Garches, France
| | - Susana Quijano-Roy
- Pôle Pédiatrie, Hôpital Raymond Poincaré, Garches, France - Centre de Référence Maladies Neuromusculaires GNMH, FILNEMUS, Garches, France
| | - Robert-Yves Carlier
- Assistance Publique des Hôpitaux de Paris (AP-HP), Service d'Imagerie Médicale, Pôle Neuro-locomoteur, Hôpital Raymond Poincaré, Garches, Hôpitaux Universitaires Paris-Ile-de-France Ouest, Garches, France
| |
Collapse
|
21
|
Tordjman M, Ouachee M, Bonnard A, Tilea B, Yakouben K, Viala J, Peuchmaur M, Berrebi D. Small bowel stenosis: a manifestation of chronic graft-versus-host disease in children? Hum Pathol 2018; 72:174-179. [DOI: 10.1016/j.humpath.2017.08.034] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2017] [Revised: 08/23/2017] [Accepted: 08/25/2017] [Indexed: 02/07/2023]
|
22
|
Tordjman M, Eiss D, Dbjay J, Crosnier A, Comperat E, Correas JM, De Saint Aubert N, Helenon O. Renal Pseudo-tumor Related to Renal Splenosis: Imaging Features. Urology 2018; 114:e11-e15. [PMID: 29378278 DOI: 10.1016/j.urology.2018.01.017] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 01/09/2018] [Accepted: 01/15/2018] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To report the case of a 29-year-old patient presenting with renal splenosis along with a complete review of literature on this condition. Splenosis is a frequent condition following abdominal trauma or splenectomy, described as splenic tissue that autotransplants into a heterotopic location. However, renal splenosis is rare and often mistaken with renal carcinoma. MATERIALS AND METHODS The patient was initially referred to our department for a renal mass incidentally discovered on ultrasound. Further investigation included with computed tomography and magnetic resonance imaging. RESULTS Imaging features revealed a well circumscribed solid renal mass, exhibiting an isosignal on T1- and T2-weighted sequences in comparison with the renal cortex. The mass exhibited a heterogeneous enhancement on the arterial and portal phases, homogeneous patterns during the delayed phases, and high signal intensity on diffusion-weighted images. A partial nephrectomy was performed and pathological examination revealed the final diagnosis of renal splenosis. CONCLUSION Imaging features alone do not provide a definitive diagnosis of splenosis but suggestive past history associated with imaging findings consistent with splenic tissue should lead to 99m technetium-sulfur colloid scanning or ferumoxid-enhanced MRI to avoid useless surgery.
Collapse
Affiliation(s)
| | - David Eiss
- Department of Adult Radiology, Necker Hospital, Paris, France
| | - Jonathan Dbjay
- Department of Adult Radiology, Necker Hospital, Paris, France; Paris Descartes Medical School, Paris Descartes University, Paris, France
| | - Adeline Crosnier
- Department of Adult Radiology, Necker Hospital, Paris, France; Paris Descartes Medical School, Paris Descartes University, Paris, France
| | - Eva Comperat
- Pathology Department, Tenon Hospital, APHP, Paris, France
| | - Jean-Michel Correas
- Department of Adult Radiology, Necker Hospital, Paris, France; Paris Descartes Medical School, Paris Descartes University, Paris, France
| | | | - Olivier Helenon
- Department of Adult Radiology, Necker Hospital, Paris, France; Paris Descartes Medical School, Paris Descartes University, Paris, France
| |
Collapse
|
23
|
Tordjman M, Sommet J, Rega A, Benkerrou M, Berrebi D, Peuchmaur M. [An unexplained fever]. Ann Pathol 2017; 37:495-498. [PMID: 29153389 DOI: 10.1016/j.annpat.2017.10.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2016] [Revised: 07/10/2017] [Accepted: 10/10/2017] [Indexed: 11/18/2022]
Affiliation(s)
- Mickael Tordjman
- Service de pathologie, hôpital universitaire Robert-Debré, AP-HP, 48, boulevard Sérurier, 75019 Paris, France.
| | - Julie Sommet
- Service de pédiatrie générale, hôpital Robert-Debré, AP-HP, 75019 Paris, France; Université Diderot Paris 7 - SPC, 16, rue Huchard, 75018 Paris, France
| | - Adelaide Rega
- Service d'imagerie médicale, hôpital Robert-Debré, AP-HP, 75019 Paris, France; Université Diderot Paris 7 - SPC, 16, rue Huchard, 75018 Paris, France
| | - Malika Benkerrou
- Service d'hématologie, centre de drépanocytose, hôpital Robert-Debré, AP-HP, 75019 Paris, France
| | - Dominique Berrebi
- Service de pathologie, hôpital universitaire Robert-Debré, AP-HP, 48, boulevard Sérurier, 75019 Paris, France; Université Diderot Paris 7 - SPC, 16, rue Huchard, 75018 Paris, France
| | - Michel Peuchmaur
- Service de pathologie, hôpital universitaire Robert-Debré, AP-HP, 48, boulevard Sérurier, 75019 Paris, France; Université Diderot Paris 7 - SPC, 16, rue Huchard, 75018 Paris, France
| |
Collapse
|
24
|
Cavassa E, Tordjman M, Ferreiro A, Carlier R, Quijano-Roy S. [Diagnostic orientation of « Rigid spine » familial case with whole body muscle MRI]. Med Sci (Paris) 2016; 32 Hors série n°2:14-16. [PMID: 27869071 DOI: 10.1051/medsci/201632s205] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
La maladie de Pompe est une maladie lysosomale avec atteinte musculaire prédominante. On distingue la forme sévère du nourrisson avec troubles cardiaques des formes tardives de l’enfant, de l’adolescent et de l’adulte qui n’ont en général pas de manifestations cardiaques. L’association d’une maladie de Pompe et d’un « rigid spine » a été occasionnellement rapportée. Plusieurs profils ont été décrits. La présentation la plus fréquente est un déficit des muscles des ceintures et du diaphragme. Une scoliose est rapportée dans un tiers des patients, mais seulement 15 % associent une raideur spinale. L’atteinte extra-musculaire, en particulier des symptômes cardio-cérébrovasculaires sont observés dans un tiers des patients. L’observation rapportée ici présente un tableau de myopathie avec un phénotype typique de raideur spinale sélective, associé à une augmentation modérée des enzymes musculaires, des signes myopathiques à la biopsie, et une atteinte cardiaque.
Collapse
Affiliation(s)
- Eliana Cavassa
- Hôpital Raymond Poincaré, Garches, France - Service de Neuropédiatrie, FLENI, Buenos Aires, Argentine
| | | | - Ana Ferreiro
- Inserm U582, Institut de Myologie, GH Pitié-Salpêtrière, Paris, France - Centre de Référence Maladies Neuromusculaires Paris-Est, FILNEMUS
| | - Robert Carlier
- Inserm U582, Institut de Myologie, GH Pitié-Salpêtrière, Paris, France - Centre de Référence Maladies Neuromusculaires Paris-Est, FILNEMUS - Imagerie médicale, Pôle neuro-locomoteur, Hôpital Raymond Poincaré, Garches, France - Centre de Référence Maladies Neuromusculaires Paris-Est, FILNEMUS
| | - Susana Quijano-Roy
- Pôle Pédiatrie, Hôpital Raymond Poincaré, Garches, France - Centre de Référence Maladies Neuromusculaires GNMH, FILNEMUS
| |
Collapse
|
25
|
Cavassa E, Tordjman M, Ferreiro A, Dabaj I, Malfatti E, Benezit A, Monges S, Bonne G, Vazquez G, Taratuto A, Laforet P, Cejas C, Metay C, Romero N, Carlier R, Quijano-Roy S. Interest of whole-body muscle MRI for the diagnosis of Pompe disease in rigid spine syndrome and differential diagnosis. Neuromuscul Disord 2016. [DOI: 10.1016/j.nmd.2016.06.088] [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: 10/21/2022]
|