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Poole S, Sisodia N, Koshal K, Henderson K, Wijangco J, Paredes D, Chen C, Rowles W, Akula A, Wuerfel J, Sharma V, Rauschecker AM, Henry RG, Bove R. Detecting New Lesions Using a Large Language Model: Applications in Real-World Multiple Sclerosis Datasets. Ann Neurol 2025. [PMID: 40277428 DOI: 10.1002/ana.27251] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2025] [Revised: 03/11/2025] [Accepted: 04/03/2025] [Indexed: 04/26/2025]
Abstract
OBJECTIVE Neuroimaging is routinely utilized to identify new inflammatory activity in multiple sclerosis (MS). A large language model to classify narrative magnetic resonance imaging reports in the electronic health record (EHR) as discrete data could provide significant benefits for MS research. The objectives of the current study were to develop such a prompt and to illustrate its research applications through a common clinical scenario: monitoring response to B-cell depleting therapy (BCDT). METHODS An institutional ecosystem that securely connects healthcare data with ChatGPT4 was applied to clinical MS magnetic resonance imaging reports in a single institutional EHR (2000-2022). A prompt (msLesionprompt) was developed and iteratively refined to classify the presence or absence of new T2-weighted lesions (newT2w) and contrast-enhancing lesions (CEL). The multistep validation included evaluating efficiency (time and cost), comparison with manually annotated reports using standard confusion matrix, and application to identifying predictors of newT2w/CEL after BCDT start. RESULTS Accuracy of msLesionprompt was high for detection of newT2w (97%) and CEL (96.8%). All 14,888 available reports were categorized in 4.13 hours ($28); 79% showed no newT2w or CEL. Data extracted showed expected suppression of new activity by BCDT (>97% monitoring magnetic resonance images after an initial "rebaseline" scan). Neighborhood poverty (Area Deprivation Index) was identified as a predictor of inflammatory activity (newT2w: OR 1.69, 95% CI 1.10-2.59, p = 0.017; CEL: OR 1.54, 95% CI 1.01-2.34, p = 0.046). INTERPRETATION Extracting discrete information from narrative imaging reports using an large language model is feasible and efficient. This approach could augment many real-world analyses of MS disease evolution and treatment response. ANN NEUROL 2025.
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Affiliation(s)
- Shane Poole
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Nikki Sisodia
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Kanishka Koshal
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Kyra Henderson
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Jaeleene Wijangco
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Danelvis Paredes
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Chelsea Chen
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - William Rowles
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Amit Akula
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | | | - Vishakha Sharma
- F. Hoffmann-La Roche, Basel, Switzerland
- Roche Diagnostics, Santa Clara, USA
| | - Andreas M Rauschecker
- UCSF Center for Intelligent Imaging (ci2), Department of Radiology & Biomedical imaging, University of California, San Francisco, CA, USA
| | - Roland G Henry
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Riley Bove
- UCSF Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
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Merki-Feld GS, Bove R, Haddad LB, Hellwig K, Hillert J, Houtchens M, Magyari M, Montgomery S, Simoni M, Stenager E, Thompson H, Tulek Z, Marhardt K, Nappi RE. Family planning and contraception in people with multiple sclerosis: perspectives for obstetricians, gynaecologists, and other health care professionals involved in reproductive planning. EUR J CONTRACEP REPR 2024:1-15. [PMID: 39676715 DOI: 10.1080/13625187.2024.2434843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2024] [Revised: 11/14/2024] [Accepted: 11/19/2024] [Indexed: 12/17/2024]
Abstract
PURPOSE Multiple sclerosis (MS) is often diagnosed in people of reproductive age. However, family planning counselling is not always integrated within MS care. Decisions on family planning can be further complicated by potential side effects associated with several disease-modifying therapies. While neurologists may lack training in contraceptive use and family planning counselling, obstetricians and gynaecologists (OB-GYNs) and other health care professionals involved in reproductive life planning (RHCPs) may lack detailed knowledge and experience around the use of contemporary MS treatments. MATERIAL AND METHODS Through a modified Delphi consensus programme, a multidisciplinary steering committee of 13 international experts developed practical clinical recommendations on contraceptive use and family planning for people with MS (PwMS). This article offers insights to help OB-GYNs and RHCPs implement these recommendations, focusing on contraceptive decision-making and MS medications. RESULTS The perspectives discussed emphasise providing education on MS to OB-GYNs and other RHCPs, enabling informed counselling for PwMS and their partners regarding contraception and family planning. Close collaboration among the multidisciplinary team, including neurologists, is crucial in providing reproductive care for PwMS. CONCLUSIONS The detailed perspectives provided aim to enable OB-GYNs and other RHCPs to provide informed counselling for PwMS and their partners regarding contraception and family planning.
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Affiliation(s)
- Gabriele S Merki-Feld
- Clinic of Reproductive Endocrinology, University Hospital Zürich, Zürich, Switzerland
| | - Riley Bove
- University of California San Francisco Weill Institute for Neurosciences, University of California San Francisco, San Francisco, CA, USA
| | - Lisa B Haddad
- Center for Biomedical Research, Population Council, New York, NY, USA
| | - Kerstin Hellwig
- Katholisches Klinikum Bochum GmbH, Ruhr-University Bochum, Nordrhein-Westfalen, Bochum, Germany
| | - Jan Hillert
- Clinical Epidemiology Division, Department of Medicine, Solna Karolinska Institutet, Stockholm, Sweden
| | - Maria Houtchens
- Harvard Medical School, Boston, MA, USA
- Brigham and Women's Hospital, Boston, MA, USA
| | - Melinda Magyari
- Danish Multiple Sclerosis Center, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Scott Montgomery
- Clinical Epidemiology Division, Department of Medicine, Solna Karolinska Institutet, Stockholm, Sweden
- Clinical Epidemiology and Biostatistics, School of Medical Sciences, Faculty of Medicine and Health, Örebro University, Örebro, Sweden
| | - Manuela Simoni
- Unit of Endocrinology, Department of Medical Specialties, University Hospital and Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Modena, Italy
| | - Egon Stenager
- Department of Regional Research, University of Southern Denmark, Odense, Denmark
- MS-Clinic of Southern Jutland (Aabenraa, Esbjerg, Kolding), Aabenraa, Denmark
| | - Heidi Thompson
- Southern Health & Social Care Trust, Portadown, Northern Ireland, UK
| | - Zeliha Tulek
- Istanbul University-Cerrahpasa, Florence Nightingale Faculty of Nursing, Istanbul, Turkey
| | - Kurt Marhardt
- Merck GmbH, Vienna, Austria, an affiliate of Merck KGaA, Darmstadt, Germany
| | - Rossella E Nappi
- Department of Clinical, Surgical, Diagnostic and Pediatric Sciences, University of Pavia, Pavia, Italy
- Research Center of Reproductive Medicine, IRCCS San Matteo Foundation, Pavia, Italy
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Graille-Avy L, Boutiere C, Rigollet C, Perriguey M, Rico A, Demortiere S, Durozard P, Hilezian F, Vely F, Bertault-Peres P, Pelletier J, Maarouf A, Audoin B. Effect of Prior Treatment With Fingolimod on Early and Late Response to Rituximab/Ocrelizumab in Patients With Multiple Sclerosis. NEUROLOGY(R) NEUROIMMUNOLOGY & NEUROINFLAMMATION 2024; 11:e200231. [PMID: 38626360 PMCID: PMC11090020 DOI: 10.1212/nxi.0000000000200231] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Accepted: 02/02/2024] [Indexed: 04/18/2024]
Abstract
BACKGROUND AND OBJECTIVES Real-life studies noted that the risk of disease activity in multiple sclerosis (MS) after switching to rituximab (RTX) or ocrelizumab (OCR) may be unequal depending on prior disease-modifying therapy (DMT), with a higher risk associated with fingolimod (FING). METHODS We performed a retrospective analysis of a structured prospective data collection including all consecutive patients with relapsing MS who were prescribed RTX/OCR in the MS center of Marseille. Cox proportional hazards models were applied to clinical and MRI outcomes. RESULTS We included 321 patients with a median (interquartile range [IQR]) follow-up of 3.5 years (1.5-5) after RTX/OCR initiation. At the first RTX/OCR infusion, the mean (SD) age of patients was 37 (10) years, and the median (IQR) disease duration was 8 years (3-15): 68 patients did not receive treatment before RTX/OCR and 108 switched from FING, 47 from low efficacy therapy, and 98 from natalizumab. For statistical analysis, the group "FING" was divided into "short-FING" and "long-FING" groups according to the median value of the group's washout period (27 days). On Cox proportional hazards analysis, for only the "long-FING" group, the risk of relapse within the first 6 months of RTX/OCR was increased as compared with patients without previous DMT (hazard ratio [HR]: 8.78; 95% CI 1.72-44.86; p < 0.01). Previous DMT and washout period duration of FING had no effect on B-cell levels at 6 months. Beyond the first 6 months of RTX/OCR, age <40 years was associated with increased risk of relapse (HR: 3.93; 95% CI 1.30-11.89; p = 0.01), male sex with increased risk of new T2 lesions (HR: 2.26; 95% CI 1.08-4.74; p = 0.03), and EDSS ≥2 with increased risk of disability accumulation (HR: 3.01; 95% CI 1.34-6.74; p < 0.01). Previous DMT had no effect on the effectiveness of RTX/OCR beyond 6 months after initiation. DISCUSSION For patients switching from FING to RTX/OCR, the risk of disease reactivation within the first 6 months of treatment was increased as compared with patients with other DMT or no previous DMT only when the washout period exceeded 26 days. Neither FING nor other previous DMT reduced the effectiveness of RTX/OCR beyond the first 6 months of treatment.
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Affiliation(s)
- Lisa Graille-Avy
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Clemence Boutiere
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Camille Rigollet
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Marine Perriguey
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Audrey Rico
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Sarah Demortiere
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Pierre Durozard
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Frederic Hilezian
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Frederic Vely
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Pierre Bertault-Peres
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Jean Pelletier
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Adil Maarouf
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
| | - Bertrand Audoin
- From the APHM (L.G.-A., C.B., C.R., M.P., A.R., S.D., F.H., J.P., A.M., B.A.), Hôpital de la Timone, Pôle de Neurosciences Cliniques, Service de Neurologie; Aix-Marseille University (A.R., J.P., A.M., B.A.), CNRS, CRMBM, Marseille; Centre hospitalier d'Ajaccio (P.D.), Service de Neurologie, Ajaccio; APHM (F.V.), Hôpital de la Timone, Service d'immunologie, Marseille Immunopôle; Aix Marseille University (F.V.), CNRS, INSERM, CIML; and APHM (P.B.-P.), Hôpital de la Timone, Service Pharmacie, Marseille, France
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