Search

Your search keyword '"Le Corvec, Maëna"' showing total 15 results
Start Over Author "Le Corvec, Maëna"
15 results on '"Le Corvec, Maëna"'

1. Blood-based MASH diagnostic in candidates for bariatric surgery using mid-infrared spectroscopy: a European multicenter prospective study

Author

Le Corvec, Maëna, Farrugia, Marwin A., Nguyen-Khac, Eric, Régimbeau, Jean-Marc, Dharhri, Abdennaceur, Chatelain, Denis, Khamphommala, Litavan, Gautier, Anne-Lise, Le Berre, Nathalie, Frey, Sébastien, Bronowicki, Jean-Pierre, Brunaud, Laurent, Maréchal, Chloé, Blanchet, Marie-Cécile, Frering, Vincent, Delwaide, Jean, Kohnen, Laurent, Haumann, Alexandre, Delvenne, Philippe, Sarfati-Lebreton, Marine, Tariel, Hugues, Bernard, Jérôme, Toullec, Alexis, Boursier, Jérôme, Bedossa, Pierre, Gual, Philippe, Anty, Rodolphe, and Iannelli, Antonio

Published
2024
Full Text
View/download PDF

5. Mid-Infrared Spectroscopy as a New Tool for Ruling Out Spontaneous Bacterial Peritonitis: A Proof-of-Concept Study

Author

Farrugia, Marwin A, Le Corvec, Maëna, Renou, Christophe, Nousbaum, Jean-Baptiste, Ouizeman, Dann J, Sire, Olivier, Loréal, Olivier, Tariel, Hugues, Bernard, Jérôme, Piche, Thierry, Tran, Albert, Ait-Oufella, Hafid, Landraud, Luce, Gual, Philippe, Anty, Rodolphe, Centre Hospitalier Universitaire de Nice (CHU Nice), DIAFIR, Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Institut de Recherche Dupuy de Lôme (IRDL), École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Centre National de la Recherche Scientifique (CNRS), Nutrition, Métabolismes et Cancer (NuMeCan), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), CHU Pontchaillou [Rennes], Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Infection, Anti-microbiens, Modélisation, Evolution (IAME (UMR_S_1137 / U1137)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité)-Université Sorbonne Paris Nord, This research was funded by the 'Investments for the Future' LABEX SIGNALIFE project (#ANR-11-LABX-0028-01) and the UCAJEDI project (#ANR-15-IDEX-0001), the National Research Agency (#ANR-18-CE14-0019-02, #ANR-19-CE14-0044-01), the Association Française pour l’Etude du Foie (AFEF) to P.G, the PHRC and clinical research department (Centre Hospitalier Universitaire de Nice), the University of Nice, the INSERM, and the Société Nationale Française de Gastro-Entérologie (SNFGE-FARE) to R.A., ANR-11-LABX-0028,SIGNALIFE,Réseau d'Innovation sur les Voies de Signalisation en Sciences de la Vie(2011), ANR-15-IDEX-0001,UCA JEDI,Idex UCA JEDI(2015), and ANR-18-CE14-0019,INFLAMMASYK,Etude de la signalisation SYK dans les maladies inflammatoires chroniques(2018)

Subjects
spontaneous bacterial peritonitis, mid-infrared spectroscopy, cirrhosis, [SDV]Life Sciences [q-bio], Medicine (miscellaneous), ascites fluid, General Biochemistry, Genetics and Molecular Biology, infection
Abstract

International audience; BACKGROUND AND AIMS: A highly sensitive and specific point-of-care method for diagnosing spontaneous bacterial peritonitis (SBP) is currently lacking. The objective of the present study is to evaluate the diagnostic value of a rapid, easy-to-use, mid-infrared fiber evanescent wave spectroscopy (MIR-FEWS) method for ruling out SBP. PATIENTS AND METHODS: Cirrhotic patients (n = 256) at five centers in France were included for suspected SBP or for the scheduled evacuation of ascites fluid. The mid-infrared spectrum of 7 µL of an ascites fluid sample was recorded using a MIR-FEWS system. To define a model for the diagnosis of SBP, the patients were divided into a calibration group (n = 170) and a validation group (n = 86). RESULTS: Most of the patients were male (71%). The mean age was 60.25 years. Alcohol-related liver disease was the most common cause of cirrhosis. SBP was observed in 18% of the patients. For the diagnosis of SBP in the calibration and validation groups, respectively, the model gave areas under the receiver operating characteristic curves of 0.87 and 0.89, sensitivities of 90% and 87%, specificities of 78% and 80%, positive predictive values of 48% and 50%, negative predictive values of 97% and 96%, positive likelihood ratio of 4.09 and 4.35, negative likelihood ratio of 0.13 and 0.16, Youden index of 0.68 and 0.67, and correct classification rates of 80% and 81%. CONCLUSION: The results of this proof-of-concept study show that MIR-FEWS is a highly sensitive diagnostic method for ruling out SBP. The method warrants further investigation.

Published
2023
Full Text
View/download PDF

7. Ruling out septic arthritis risk in a few minutes using mid-infrared spectroscopy in synovial fluids

Author

Albert, Jean-David, primary, Le Corvec, Maëna, additional, Berthoud, Olivia, additional, David, Claire, additional, Guennoc, Xavier, additional, Hoppe, Emmanuel, additional, Jousse-Joulin, Sandrine, additional, Le Goff, Benoît, additional, Tariel, Hugues, additional, Sire, Olivier, additional, Jolivet-Gougeon, Anne, additional, Coiffier, Guillaume, additional, and Loréal, Olivier, additional

Published
2020
Full Text
View/download PDF

9. Septic arthritis screening with a fast diagnostic tool using MID infrared spectroscopy: a multi-centric study

Author

Albert, Jean David, Le Corvec, Maëna, Martin, A, Guennoc, Xavier, David, C, Hoang, Sylvie, Guedes, C, Ferreyra, M, Hoppe, E, Legoff, B., Jousse-Joulin, Sandrine, Tariel, Hugues, Jolivet-Gougeon, Anne, Guggenbuhl, Pascal, Loréal, Olivier, Service de rhumatologie [Rennes] = Rheumatology [Rennes], CHU Pontchaillou [Rennes], DIAFIR, Service de Rhumatologie, CH Saint-Brieuc, Centre hospitalier Saint-Brieuc, Service de Rhumatologie, CH Vannes, CH Vannes, Service de Rhumatologie, CHU Angers, Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Centre hospitalier universitaire de Nantes (CHU Nantes), CHRU Brest - Service de Rhumatologie (CHU - BREST - Rhumato), Centre Hospitalier Régional Universitaire de Brest (CHRU Brest), Lymphocyte B et Auto-immunité (LBAI), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Institut Brestois Santé Agro Matière (IBSAM), Université de Brest (UBO), Microbiologie : Risques Infectieux, Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-CHU Pontchaillou [Rennes]-Faculté de Chirurgie Dentaire de Rennes-Faculté d'Odontologie-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Nutrition, Métabolismes et Cancer (NuMeCan), Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES), CHU de Saint-Brieuc, Lymphocytes B, Autoimmunité et Immunothérapies (LBAI), Université de Brest (UBO)-Institut National de la Santé et de la Recherche Médicale (INSERM)-LabEX IGO Immunothérapie Grand Ouest, Nantes Université (Nantes Univ)-Nantes Université (Nantes Univ)-Institut Brestois Santé Agro Matière (IBSAM), Université de Rennes (UR)-CHU Pontchaillou [Rennes]-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique )-Université de Rennes - UFR d'Odontologie (UR Odontologie), Université de Rennes (UR)-Université de Rennes (UR), and Institut National de la Recherche Agronomique (INRA)-Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)

Subjects
[SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2018

10. Fast and Non-Invasive Medical Diagnostic Using Mid Infrared Sensor: The AMNIFIR Project

Author

Le Corvec, Maëna, Charpentier, Frédéric, Kachenoura, Amar, Bensaid, Siouar, Henno, Sébastien, Bardou-Jacquet, Edouard, Turlin, Bruno, Monbet, Valérie, Senhadji, Lotfi, Loréal, Olivier, Sire, Olivier, Betagne, J. F., Tariel, Hugues, Lainé, Fabrice, DIAFIR, Institut de Recherche Dupuy de Lôme (IRDL), Université de Brest (UBO)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Université de Bretagne Sud (UBS), Laboratoire Traitement du Signal et de l'Image (LTSI), Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM), CHU Pontchaillou [Rennes], Foie, métabolismes et cancer, Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institut de Recherche Mathématique de Rennes (IRMAR), AGROCAMPUS OUEST, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Rennes 1 (UR1), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Université de Rennes 2 (UR2), Université de Rennes (UNIV-RENNES)-École normale supérieure - Rennes (ENS Rennes)-Centre National de la Recherche Scientifique (CNRS)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA), Applications of interacting particle systems to statistics (ASPI), Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-AGROCAMPUS OUEST, Institut National des Sciences Appliquées (INSA)-Université de Rennes (UNIV-RENNES)-Institut National des Sciences Appliquées (INSA)-Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Laboratoire d'Ingénierie des Matériaux de Bretagne (LIMATB), Université de Bretagne Sud (UBS)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO)-Université de Brest (UBO), Centre d'Investigation Clinique [Rennes] (CIC), Université de Rennes (UNIV-RENNES)-Université de Rennes (UNIV-RENNES)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), ANR-12-TECS-0012-01, French National Research Agency, CIFRE 2013/1015, French National Association Research Technology, IRMAR-STAT, École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Centre National de la Recherche Scientifique (CNRS), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM), Université de Rennes (UR)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut National des Sciences Appliquées (INSA)-Institut National des Sciences Appliquées (INSA)-École normale supérieure - Rennes (ENS Rennes)-Université de Rennes 2 (UR2)-Centre National de la Recherche Scientifique (CNRS)-INSTITUT AGRO Agrocampus Ouest, Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Université de Rennes (UR)-Institut National des Sciences Appliquées - Rennes (INSA Rennes), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Inria Rennes – Bretagne Atlantique, Université de Bretagne Sud (UBS)-Université de Brest (UBO)-Institut Brestois du Numérique et des Mathématiques (IBNM), Université de Brest (UBO)-Université de Brest (UBO), Université de Rennes (UR)-Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale (INSERM), ANR-12-TECS-0012,AMNIFIR,Analyse Médicale Non invasive et Immédiate par Fibre optique Infra Rouge pour la detection de maladies chroniques et de tumeurs(2012), ANR-11-LABX-0020,LEBESGUE,Centre de Mathématiques Henri Lebesgue : fondements, interactions, applications et Formation(2011), Institut de Recherche Dupuy de Lôme ( IRDL ), Centre National de la Recherche Scientifique ( CNRS ) -ENSTA Bretagne-Université de Brest ( UBO ) -Université de Bretagne Sud ( UBS ), Laboratoire Traitement du Signal et de l'Image ( LTSI ), Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Institut National de la Santé et de la Recherche Médicale ( INSERM ) -Structure Fédérative de Recherche en Biologie et Santé de Rennes ( Biosit : Biologie - Santé - Innovation Technologique ), Institut de Recherche Mathématique de Rennes ( IRMAR ), Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -AGROCAMPUS OUEST-École normale supérieure - Rennes ( ENS Rennes ) -Institut National de Recherche en Informatique et en Automatique ( Inria ) -Institut National des Sciences Appliquées ( INSA ) -Université de Rennes 2 ( UR2 ), Université de Rennes ( UNIV-RENNES ) -Centre National de la Recherche Scientifique ( CNRS ), Applications of interacting particle systems to statistics ( ASPI ), Université de Rennes ( UNIV-RENNES ) -Centre National de la Recherche Scientifique ( CNRS ) -Université de Rennes 1 ( UR1 ), Université de Rennes ( UNIV-RENNES ) -Centre National de la Recherche Scientifique ( CNRS ) -Inria Rennes – Bretagne Atlantique, Institut National de Recherche en Informatique et en Automatique ( Inria ), Laboratoire d'Ingénierie des Matériaux de Bretagne ( LIMATB ), Université de Bretagne Sud ( UBS ) -Université de Brest ( UBO ) -Institut Brestois du Numérique et des Mathématiques ( IBNM ), Université de Brest ( UBO ) -Université de Brest ( UBO ), Centre d'Investigation Clinique [Rennes] ( CIC ), and Université de Rennes ( UNIV-RENNES ) -Université de Rennes ( UNIV-RENNES ) -Hôpital Pontchaillou-Institut National de la Santé et de la Recherche Médicale ( INSERM )

Subjects
[ SDV ] Life Sciences [q-bio], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [SDV]Life Sciences [q-bio]
Abstract

International audience; Aim Amnifir project, part of the ANR TECSAN program, intended to assess the capabilities of a new Mid InfraRed spectroscopy (MIR) device. It used a simple fiber optic sampling method: Fiber Evanescent Wave Spectroscopy (FEWS), which makes Point of Care applications possible and delivers a result within a few minutes. Material and method To investigate the technology application range, different biological media (tissues, fluids) as well as pathologies (chronic, cancerous) were considered during the project. We present work on one cancer diagnostic, measuring tissues (colorectal polyp examination), and one chronic disease diagnostic, using a fluid sample (Non-Alcoholic SteatoHepatitis (NASH) markers in serum). We used specific FEWS sensors for both cases, made of chalcogenide infrared glass fiber, as well as proper signal analysis algorithm that first selected spectra area of interest by genetic algorithm, then discriminated the healthy population from the sick one by linear discriminant analysis. Results Measurements using liquid samples provide very encouraging results for NASH identification. On other hand, fiber sensor proved more difficult to use on tissues, as the fiber mechanical resistance appeared too low to sustain a contact with the hardest polyps. Conclusions AMNIFIR project demonstrated capabilities of MIR FEWS for medical diagnostic using biological fluids, leading to recruitments of further cohorts of NASH and other hepatic disorders patients. Mechanical resistance of fiber needs to be improved for tissues diagnostics

Published
2016
Full Text
View/download PDF

11. Mid-infrared spectroscopy of serum, a promising non-invasive method to assess prognosis in patients with ascites and cirrhosis

Author

Le Corvec, Maëna, primary, Jezequel, Caroline, additional, Monbet, Valérie, additional, Fatih, Nadia, additional, Charpentier, Frédéric, additional, Tariel, Hugues, additional, Boussard-Plédel, Catherine, additional, Bureau, Bruno, additional, Loréal, Olivier, additional, Sire, Olivier, additional, and Bardou-Jacquet, Edouard, additional

Published
2017
Full Text
View/download PDF

12. Mid-infrared fibre evanescent wave spectroscopy of serum allows fingerprinting of the hepatic metabolic status in mice

Author

Le Corvec, Maëna, primary, Allain, Coralie, additional, Lardjane, Salim, additional, Cavey, Thibault, additional, Turlin, Bruno, additional, Fautrel, Alain, additional, Begriche, Karima, additional, Monbet, Valérie, additional, Fromenty, Bernard, additional, Leroyer, Patricia, additional, Guggenbuhl, Pascal, additional, Ropert, Martine, additional, Sire, Olivier, additional, and Loréal, Olivier, additional

Published
2016
Full Text
View/download PDF

14. Mid-Infrared Spectroscopy as a New Tool for Ruling Out Spontaneous Bacterial Peritonitis: A Proof-of-Concept Study.

Author

Farrugia MA, Le Corvec M, Renou C, Nousbaum JB, Ouizeman DJ, Sire O, Loréal O, Tariel H, Bernard J, Piche T, Tran A, Ait-Oufella H, Landraud L, Gual P, Anty R, and The Cytokine Ascites Group

Abstract

Background and Aims: A highly sensitive and specific point-of-care method for diagnosing spontaneous bacterial peritonitis (SBP) is currently lacking. The objective of the present study is to evaluate the diagnostic value of a rapid, easy-to-use, mid-infrared fiber evanescent wave spectroscopy (MIR-FEWS) method for ruling out SBP., Patients and Methods: Cirrhotic patients ( n = 256) at five centers in France were included for suspected SBP or for the scheduled evacuation of ascites fluid. The mid-infrared spectrum of 7 µL of an ascites fluid sample was recorded using a MIR-FEWS system. To define a model for the diagnosis of SBP, the patients were divided into a calibration group ( n = 170) and a validation group ( n = 86)., Results: Most of the patients were male (71%). The mean age was 60.25 years. Alcohol-related liver disease was the most common cause of cirrhosis. SBP was observed in 18% of the patients. For the diagnosis of SBP in the calibration and validation groups, respectively, the model gave areas under the receiver operating characteristic curves of 0.87 and 0.89, sensitivities of 90% and 87%, specificities of 78% and 80%, positive predictive values of 48% and 50%, negative predictive values of 97% and 96%, positive likelihood ratio of 4.09 and 4.35, negative likelihood ratio of 0.13 and 0.16, Youden index of 0.68 and 0.67, and correct classification rates of 80% and 81%., Conclusion: The results of this proof-of-concept study show that MIR-FEWS is a highly sensitive diagnostic method for ruling out SBP. The method warrants further investigation.

Published
2023
Full Text
View/download PDF

15. Ruling out septic arthritis risk in a few minutes using mid-infrared spectroscopy in synovial fluids.

Author

Albert JD, Le Corvec M, Berthoud O, David C, Guennoc X, Hoppe E, Jousse-Joulin S, Le Goff B, Tariel H, Sire O, Jolivet-Gougeon A, Coiffier G, and Loréal O

Subjects
Aged, Cohort Studies, Cross-Sectional Studies, Female, Humans, Leukocyte Count, Male, Middle Aged, Predictive Value of Tests, Risk Assessment, Sensitivity and Specificity, Arthritis, Infectious diagnosis, Point-of-Care Systems, Spectrophotometry, Infrared, Synovial Fluid chemistry
Abstract

Objectives: The aim of this study was to show the usefulness of a mid-infrared fibre evanescent wave spectroscopy point of care device in the identification of septic arthritis patients in a multicentre cohort, and to apply this technology to clinical practice among physicians., Methods: SF samples from 402 patients enrolled in a multicentre cohort were frozen for analysis by mid-infrared fibre evanescent wave spectroscopy. The calibration cohort was divided into two groups of patients (septic arthritis and non-septic arthritis) and relevant spectral variables were used for logistic regression model. Model performances were tested on an independent set of 86 freshly obtained SF samples from patients enrolled in a single-centre acute arthritis cohort and spectroscopic analyses performed at the patient's bedside., Results: The model set-up, using frozen-thawed SFs, provided good performances, with area under the curve 0.95, sensitivity 0.90, specificity 0.90, positive predictive value 0.41 and negative predictive value 0.99. Performances obtained in the validation cohort were area under the curve 0.90, sensitivity 0.92, specificity 0.81, positive predictive value 0.46 and negative predictive value 0.98. The septic arthritis probability has been translated into a risk score from 0 to 4 according to septic risk. For a risk score of 0, the probability of identifying a septic patient is very low (negative predictive value of 1), whereas a risk score of 4 indicates very high risk of septic arthritis (positive predictive value of 1)., Conclusion: Mid-infrared fibre evanescent wave spectroscopy could distinguish septic from non-septic synovial arthritis fluids with good performances, and showed particular usefulness in ruling out septic arthritis. Our data supports the possibility of technology transfer., Trial Registration: ClinicalTrials.gov, http://clinicaltrials.gov, NCT02860871., (© The Author(s) 2020. Published by Oxford University Press on behalf of the British Society for Rheumatology. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Published
2021
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results