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Wiestler B, Bison B, Behrens L, Tüchert S, Metz M, Griessmair M, Jakob M, Schlegel PG, Binder V, von Luettichau I, Metzler M, Johann P, Hau P, Frühwald M. Human-Level Differentiation of Medulloblastoma from Pilocytic Astrocytoma: A Real-World Multicenter Pilot Study. Cancers (Basel) 2024; 16:1474. [PMID: 38672556 DOI: 10.3390/cancers16081474] [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: 03/12/2024] [Revised: 04/05/2024] [Accepted: 04/08/2024] [Indexed: 04/28/2024] Open
Abstract
Medulloblastoma and pilocytic astrocytoma are the two most common pediatric brain tumors with overlapping imaging features. In this proof-of-concept study, we investigated using a deep learning classifier trained on a multicenter data set to differentiate these tumor types. We developed a patch-based 3D-DenseNet classifier, utilizing automated tumor segmentation. Given the heterogeneity of imaging data (and available sequences), we used all individually available preoperative imaging sequences to make the model robust to varying input. We compared the classifier to diagnostic assessments by five readers with varying experience in pediatric brain tumors. Overall, we included 195 preoperative MRIs from children with medulloblastoma (n = 69) or pilocytic astrocytoma (n = 126) across six university hospitals. In the 64-patient test set, the DenseNet classifier achieved a high AUC of 0.986, correctly predicting 62/64 (97%) diagnoses. It misclassified one case of each tumor type. Human reader accuracy ranged from 100% (expert neuroradiologist) to 80% (resident). The classifier performed significantly better than relatively inexperienced readers (p < 0.05) and was on par with pediatric neuro-oncology experts. Our proof-of-concept study demonstrates a deep learning model based on automated tumor segmentation that can reliably preoperatively differentiate between medulloblastoma and pilocytic astrocytoma, even in heterogeneous data.
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Affiliation(s)
- Benedikt Wiestler
- Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany
- TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, 81675 Munich, Germany
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
| | - Brigitte Bison
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Diagnostic and Interventional Neuroradiology, Faculty of Medicine, University Hospital Augsburg, 86156 Augsburg, Germany
- Neuroradiological Reference Center for the Pediatric Brain Tumor (HIT) Studies of the German Society of Pediatric Oncology and Hematology, Faculty of Medicine, University Hospital Augsburg, 86156 Augsburg, Germany
| | - Lars Behrens
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Diagnostic and Interventional Neuroradiology, Faculty of Medicine, University Hospital Augsburg, 86156 Augsburg, Germany
- Neuroradiological Reference Center for the Pediatric Brain Tumor (HIT) Studies of the German Society of Pediatric Oncology and Hematology, Faculty of Medicine, University Hospital Augsburg, 86156 Augsburg, Germany
| | - Stefanie Tüchert
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- Department of Diagnostic and Interventional Radiology, University Hospital Augsburg, 86156 Augsburg, Germany
| | - Marie Metz
- Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
| | - Michael Griessmair
- Department of Neuroradiology, School of Medicine and Health, Technical University of Munich, 81675 Munich, Germany
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
| | - Marcus Jakob
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Department of Pediatric Hematology, Oncology and Stem Cell Transplantation, University of Regensburg, 93053 Regensburg, Germany
| | - Paul-Gerhardt Schlegel
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Department of Pediatric Hematology, Oncology and Stem Cell Transplantation, University Children's Hospital Würzburg, 97080 Würzburg, Germany
| | - Vera Binder
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Department of Pediatrics, Dr. Von Hauner Children's Hospital, University Hospital, LMU Munich, 80539 Munich, Germany
| | - Irene von Luettichau
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Division of Pediatric Hematology and Oncology, Department of Pediatrics, Kinderklinik München Schwabing, Children's Cancer Research Center, TUM School of Medicine and Health, Technical University of Munich, 80333 Munich, Germany
| | - Markus Metzler
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Pediatric Oncology and Hematology, Department of Pediatrics and Adolescent Medicine, University Hospital Erlangen, Comprehensive Cancer Center Erlangen-EMN (CCC ER-EMN), 91054 Erlangen, Germany
| | - Pascal Johann
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Swabian Children's Cancer Center, Pediatrics and Adolescent Medicine, University Hospital Augsburg, 86156 Augsburg, Germany
| | - Peter Hau
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- Department of Neurology and Wilhelm Sander-NeuroOncology Unit, University Hospital Regensburg, 93053 Regensburg, Germany
| | - Michael Frühwald
- Study Groups on CNS Tumors Within the Bavarian Cancer Research Center (BZKF)
- KIONET, Kinderonkologisches Netzwerk Bayern
- Swabian Children's Cancer Center, Pediatrics and Adolescent Medicine, University Hospital Augsburg, 86156 Augsburg, Germany
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Wiltgen T, McGinnis J, Schlaeger S, Kofler F, Voon C, Berthele A, Bischl D, Grundl L, Will N, Metz M, Schinz D, Sepp D, Prucker P, Schmitz-Koep B, Zimmer C, Menze B, Rueckert D, Hemmer B, Kirschke J, Mühlau M, Wiestler B. LST-AI: a Deep Learning Ensemble for Accurate MS Lesion Segmentation. medRxiv 2024:2023.11.23.23298966. [PMID: 38045345 PMCID: PMC10690346 DOI: 10.1101/2023.11.23.23298966] [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] [Subscribe] [Scholar Register] [Indexed: 12/05/2023]
Abstract
Automated segmentation of brain white matter lesions is crucial for both clinical assessment and scientific research in multiple sclerosis (MS). Over a decade ago, we introduced an engineered lesion segmentation tool, LST. While recent lesion segmentation approaches have leveraged artificial intelligence (AI), they often remain proprietary and difficult to adopt. As an open-source tool, we present LST-AI, an advanced deep learning-based extension of LST that consists of an ensemble of three 3D-UNets. LST-AI explicitly addresses the imbalance between white matter (WM) lesions and non-lesioned WM. It employs a composite loss function incorporating binary cross-entropy and Tversky loss to improve segmentation of the highly heterogeneous MS lesions. We train the network ensemble on 491 MS pairs of T1w and FLAIR images, collected in-house from a 3T MRI scanner, and expert neuroradiologists manually segmented the utilized lesion maps for training. LST-AI additionally includes a lesion location annotation tool, labeling lesion location according to the 2017 McDonald criteria (periventricular, infratentorial, juxtacortical, subcortical). We conduct evaluations on 103 test cases consisting of publicly available data using the Anima segmentation validation tools and compare LST-AI with several publicly available lesion segmentation models. Our empirical analysis shows that LST-AI achieves superior performance compared to existing methods. Its Dice and F1 scores exceeded 0.62, outperforming LST, SAMSEG (Sequence Adaptive Multimodal SEGmentation), and the popular nnUNet framework, which all scored below 0.56. Notably, LST-AI demonstrated exceptional performance on the MSSEG-1 challenge dataset, an international WM lesion segmentation challenge, with a Dice score of 0.65 and an F1 score of 0.63-surpassing all other competing models at the time of the challenge. With increasing lesion volume, the lesion detection rate rapidly increased with a detection rate of >75% for lesions with a volume between 10mm3 and 100mm3. Given its higher segmentation performance, we recommend that research groups currently using LST transition to LST-AI. To facilitate broad adoption, we are releasing LST-AI as an open-source model, available as a command-line tool, dockerized container, or Python script, enabling diverse applications across multiple platforms.
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Affiliation(s)
- Tun Wiltgen
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Julian McGinnis
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
- Department of Computer Science, Institute for AI in Medicine, Technical University of Munich, Munich, Germany
| | - Sarah Schlaeger
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Florian Kofler
- Department of Computer Science, Institute for AI in Medicine, Technical University of Munich, Munich, Germany
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM, Center for Translational Cancer Research, Munich, Germany
- Helmholtz AI, Helmholtz Munich, Neuherberg, Germany
| | - CuiCi Voon
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Achim Berthele
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Daria Bischl
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Lioba Grundl
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Nikolaus Will
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - David Schinz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Institute of Radiology, University Hospital Erlangen, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany
| | - Dominik Sepp
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Philipp Prucker
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Benita Schmitz-Koep
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Bjoern Menze
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Daniel Rueckert
- Department of Computer Science, Institute for AI in Medicine, Technical University of Munich, Munich, Germany
- Department of Computing, Imperial College London, London, United Kingdom
| | - Bernhard Hemmer
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Jan Kirschke
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Mark Mühlau
- Department of Neurology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TUM-Neuroimaging Center, School of Medicine, Technical University of Munich, Munich, Germany
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM, Center for Translational Cancer Research, Munich, Germany
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Moñino-Romero S, Kolkhir P, Ohanyan T, Szépfalusi Z, Weller K, Metz M, Scheffel J, Maurer M, Altrichter S. Elevated baseline soluble FcεRI may be linked to early response to omalizumab treatment in chronic spontaneous urticaria. J Eur Acad Dermatol Venereol 2024; 38:167-174. [PMID: 37641982 DOI: 10.1111/jdv.19485] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Accepted: 08/03/2023] [Indexed: 08/31/2023]
Abstract
BACKGROUND Omalizumab, an anti-IgE monoclonal antibody, is an effective treatment in chronic spontaneous urticaria (CSU). Predictors of fast and good response for omalizumab treatment have not yet been identified and characterized. OBJECTIVE To evaluate whether soluble FcεRI (sFcεRI), a marker of IgE-mediated mast cell activation, predicts the time of response to omalizumab in CSU. METHODS Sera of 67 CSU patients were obtained before omalizumab treatment and analysed for sFcεRI levels by ELISA (2 ng/mL was used as cut-off for elevated sFcɛRI). Treatment response during the first 4 weeks was assessed with the urticaria activity score (UAS7), urticaria control test (UCT) and the rolling UAS7 (rUAS7). RESULTS Elevated pre-treatment sFcɛRI levels were detected in more than 70% of patients with completely controlled disease (UCT = 16) and well-controlled disease (UCT = 12-15) and were significantly associated with disease control (χ2 = 4.94, p < 0.05). More than half of the patients (14/25) with low levels had poor disease control (UCT < 12). Of the patients who achieved complete and marked UAS7 response, respectively, 75% and 63% had elevated baseline sFcɛRI levels. Post-treatment UAS7 scores were lower in patients with elevated sFcɛRI levels reaching statistical significance at Week 3 (p < 0.05). Patients with elevated baseline sFcɛRI levels achieved rUAS7 ≤ 6 and = 0 earlier than those with lower levels (Days 9 vs. 13 and Days 12 vs. 14, respectively). CONCLUSION Elevated sFcεRI serum levels predict early and good response to treatment with omalizumab, which may help to better design treatment options for CSU patients.
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Affiliation(s)
- S Moñino-Romero
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
- Division of Pediatric Pulmonology, Allergy and Endocrinology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center of Pediatrics, Medical University of Vienna, Vienna, Austria
| | - P Kolkhir
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
| | - T Ohanyan
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
| | - Z Szépfalusi
- Division of Pediatric Pulmonology, Allergy and Endocrinology, Department of Pediatrics and Adolescent Medicine, Comprehensive Center of Pediatrics, Medical University of Vienna, Vienna, Austria
| | - K Weller
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
| | - M Metz
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
| | - J Scheffel
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
| | - M Maurer
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
| | - S Altrichter
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Allergology and Immunology, Berlin, Germany
- Department of Dermatology and Venereology, Kepler University Hospital, Linz, Austria
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4
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Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Author Correction: Federated learning enables big data for rare cancer boundary detection. Nat Commun 2023; 14:436. [PMID: 36702828 PMCID: PMC9879935 DOI: 10.1038/s41467-023-36188-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023] Open
Affiliation(s)
- Sarthak Pati
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chiharu Sako
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Satyam Ghodasara
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michel Bilello
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Maximilian Zenk
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany
| | - Evan Calabrese
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Rudie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Umang Pandey
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - John Garrett
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Matthew Larson
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Robert Jeraj
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Stuart Currie
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Russell Frood
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Kavi Fatania
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Josep Puig
- Department of Radiology (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Johannes Trenkler
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Josef Pichler
- Department of Neurooncology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Georg Necker
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Andreas Haunschmidt
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Stephan Meckel
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
- Institute of Diagnostic and Interventional Neuroradiology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA
| | - Spencer Liem
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gregory S Alexander
- Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA
| | - Joseph Lombardo
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Craig K Jones
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Archana Venkataraman
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Meirui Jiang
- The Chinese University of Hong Kong, Hong Kong, China
| | - Tiffany Y So
- The Chinese University of Hong Kong, Hong Kong, China
| | - Cheng Chen
- The Chinese University of Hong Kong, Hong Kong, China
| | | | - Qi Dou
- The Chinese University of Hong Kong, Hong Kong, China
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Filip Lux
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Petr Matula
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Tereza Kopřivová
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
- Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Václav Vybíhal
- Department of Neurosurgery, Faculty of Medicine, Masaryk University, Brno, and University Hospital and Czech Republic, Brno, Czech Republic
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - J Ross Mitchell
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Joaquim Farinhas
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | | | - Marco C Pinho
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Divya Reddy
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Holcomb
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Talia Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Division of Surgery and Perioperative Medicine, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Sargam Bhardwaj
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Chee Chong
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Marc Agzarian
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Bernardo C A Teixeira
- Instituto de Neurologia de Curitiba, Curitiba, Paraná, Brazil
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Flávia Sprenger
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - David Menotti
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Diego R Lucio
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Pamela LaMontagne
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Daniel Marcus
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Matthew Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Yvonne W Lui
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Richard McKinley
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Derrick Murcia
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Eric Fu
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Rourke Haas
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - John Thompson
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - David Ryan Ormond
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, University Hospitals-Seidman Cancer Center, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vachan Vadmal
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Kristin Waite
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Rivka R Colen
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linmin Pei
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Murat Ak
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashok Srinivasan
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - J Rajiv Bapuraj
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Wang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ota Yoshiaki
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Toshio Moritani
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Sevcan Turk
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Joonsang Lee
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Snehal Prabhudesai
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Fanny Morón
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Konstantinos Kamnitsas
- Department of Computing, Imperial College London, London, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Ben Glocker
- Department of Computing, Imperial College London, London, UK
| | - Luke V M Dixon
- Department of Radiology, Imperial College NHS Healthcare Trust, London, UK
| | - Matthew Williams
- Computational Oncology Group, Institute for Global Health Innovation, Imperial College London, London, UK
| | - Peter Zampakis
- Department of NeuroRadiology, University of Patras, Patras, Greece
| | | | - Panagiotis Tsiganos
- Clinical Radiology Laboratory, Department of Medicine, University of Patras, Patras, Greece
| | - Sotiris Alexiou
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | - Ilias Haliassos
- Department of Neuro-Oncology, University of Patras, Patras, Greece
| | - Evangelia I Zacharaki
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | | | | | | | | | | | | | - Sung Soo Ahn
- Yonsei University College of Medicine, Seoul, Korea
| | - Bing Luo
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
| | - Laila Poisson
- Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | | | - Ruchika Verma
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
- Case Western Reserve University, Cleveland, OH, USA
| | - Rohan Bareja
- Case Western Reserve University, Cleveland, OH, USA
| | - Ipsa Yadav
- Case Western Reserve University, Cleveland, OH, USA
| | | | - Neeraj Kumar
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Sebastian R van der Voort
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Ahmed Alafandi
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Fatih Incekara
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Maarten M J Wijnenga
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Georgios Kapsas
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Joost W Schouten
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Hendrikus J Dubbink
- Department of Pathology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Arnaud J P E Vincent
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Yading Yuan
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonam Sharma
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tzu-Chi Tseng
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Saba Adabi
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Olivier Keunen
- Translation Radiomics, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Ann-Christin Hau
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology, Laboratoire National De Santé, Luxembourg, Luxembourg
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - David Fortin
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Division of Neurosurgery and Neuro-Oncology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Martin Lepage
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Department of Nuclear Medicine and Radiobiology, Sherbrooke Molecular Imaging Centre, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Bennett Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kaiwen Xu
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Silky Chotai
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akshitkumar Mistry
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anousheh Sayah
- Division of Neuroradiology & Neurointerventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Camelia Bencheqroun
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anas Belouali
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Subha Madhavan
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Thomas C Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, Ruskin Wing, King's College Hospital NHS Foundation Trust, London, UK
| | - Alysha Chelliah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Marc Modat
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Haris Shuaib
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Carmen Dragos
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
| | | | | | | | | | - Shady Gamal
- University of Cairo School of Medicine, Giza, Egypt
| | | | | | | | - Ji Eun Park
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Jihye Yun
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust Pembroke Place, Liverpool, UK
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Benson
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
- GROW School of Oncology and Developmental Biology, Maastricht, Netherlands
| | - Jonas Teuwen
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | - William Escobar
- Clínica Imbanaco Grupo Quirón Salud, Cali, Colombia
- Universidad del Valle, Cali, Colombia
| | | | - Jose Bernal
- Universidad del Valle, Cali, Colombia
- The University of Edinburgh, Edinburgh, UK
| | | | - Joseph Choi
- Department of Industrial and Systems Engineering, University of Iowa, Iowa, USA
| | - Stephen Baek
- Department of Industrial and Systems Engineering, Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Yusung Kim
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Heba Ismael
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Bryan Allen
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John M Buatti
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | | | - Hongwei Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrea Bink
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Prateek Prasanna
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Sampurna Shrestha
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Kartik M Mani
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Department of Radiation Oncology, Stony Brook University, Stony Brook, NY, USA
| | - David Payne
- Department of Radiology, Stony Brook University, Stony Brook, NY, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Scientific Data Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Enrique Pelaez
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | - Francis Loayza
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | | | | | | | - Franco Vera
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Elvis Ríos
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Eduardo López
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Sergio A Velastin
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mayowa Soneye
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Dotun Oyekunle
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | | | - Babatunde Osobu
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mustapha Shu'aibu
- Department of Radiology, Muhammad Abdullahi Wase Teaching Hospital, Kano, Nigeria
| | - Adeleye Dorcas
- Department of Radiology, Obafemi Awolowo University Ile-Ife, Ile-Ife, Osun, Nigeria
| | - Farouk Dako
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amber L Simpson
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Mohammad Hamghalam
- School of Computing, Queen's University, Kingston, ON, Canada
- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Jacob J Peoples
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Ricky Hu
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Anh Tran
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Danielle Cutler
- The Faculty of Arts & Sciences, Queen's University, Kingston, ON, Canada
| | - Fabio Y Moraes
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - James Gimpel
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Deepak Kattil Veettil
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Kendall Schmidt
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Brian Bialecki
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Sailaja Marella
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Cynthia Price
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Lisa Cimino
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | | | - Bjoern Menze
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), National Institute of Health, Bethesda, MD, USA
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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Ezhov I, Scibilia K, Franitza K, Steinbauer F, Shit S, Zimmer L, Lipkova J, Kofler F, Paetzold JC, Canalini L, Waldmannstetter D, Menten MJ, Metz M, Wiestler B, Menze B. Learn-Morph-Infer: A new way of solving the inverse problem for brain tumor modeling. Med Image Anal 2023; 83:102672. [PMID: 36395623 DOI: 10.1016/j.media.2022.102672] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2021] [Revised: 07/18/2022] [Accepted: 10/20/2022] [Indexed: 11/06/2022]
Abstract
Current treatment planning of patients diagnosed with a brain tumor, such as glioma, could significantly benefit by accessing the spatial distribution of tumor cell concentration. Existing diagnostic modalities, e.g. magnetic resonance imaging (MRI), contrast sufficiently well areas of high cell density. In gliomas, however, they do not portray areas of low cell concentration, which can often serve as a source for the secondary appearance of the tumor after treatment. To estimate tumor cell densities beyond the visible boundaries of the lesion, numerical simulations of tumor growth could complement imaging information by providing estimates of full spatial distributions of tumor cells. Over recent years a corpus of literature on medical image-based tumor modeling was published. It includes different mathematical formalisms describing the forward tumor growth model. Alongside, various parametric inference schemes were developed to perform an efficient tumor model personalization, i.e. solving the inverse problem. However, the unifying drawback of all existing approaches is the time complexity of the model personalization which prohibits a potential integration of the modeling into clinical settings. In this work, we introduce a deep learning based methodology for inferring the patient-specific spatial distribution of brain tumors from T1Gd and FLAIR MRI medical scans. Coined as Learn-Morph-Infer, the method achieves real-time performance in the order of minutes on widely available hardware and the compute time is stable across tumor models of different complexity, such as reaction-diffusion and reaction-advection-diffusion models. We believe the proposed inverse solution approach not only bridges the way for clinical translation of brain tumor personalization but can also be adopted to other scientific and engineering domains.
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Affiliation(s)
- Ivan Ezhov
- Department of Informatics, TUM, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, TUM, Munich, Germany.
| | | | | | | | - Suprosanna Shit
- Department of Informatics, TUM, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, TUM, Munich, Germany
| | - Lucas Zimmer
- TranslaTUM - Central Institute for Translational Cancer Research, TUM, Munich, Germany; Department of Quantitative Biomedicine, UZH, Zurich, Switzerland
| | - Jana Lipkova
- Department of Pathology, Brigham and Women's Hospital, Harvard Medical School, Boston, USA; Broad Institute of Harvard and MIT, Cambridge, USA; Data Science Program, Dana-Farber Cancer Institute, Boston, USA
| | - Florian Kofler
- Department of Informatics, TUM, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, TUM, Munich, Germany; Neuroradiology Department of Klinikum Rechts der Isar, TUM, Munich, Germany
| | - Johannes C Paetzold
- Department of Informatics, TUM, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, TUM, Munich, Germany
| | | | | | - Martin J Menten
- Department of Informatics, TUM, Munich, Germany; TranslaTUM - Central Institute for Translational Cancer Research, TUM, Munich, Germany
| | - Marie Metz
- TranslaTUM - Central Institute for Translational Cancer Research, TUM, Munich, Germany; Neuroradiology Department of Klinikum Rechts der Isar, TUM, Munich, Germany
| | - Benedikt Wiestler
- TranslaTUM - Central Institute for Translational Cancer Research, TUM, Munich, Germany; Neuroradiology Department of Klinikum Rechts der Isar, TUM, Munich, Germany
| | - Bjoern Menze
- Department of Quantitative Biomedicine, UZH, Zurich, Switzerland
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Pati S, Baid U, Edwards B, Sheller M, Wang SH, Reina GA, Foley P, Gruzdev A, Karkada D, Davatzikos C, Sako C, Ghodasara S, Bilello M, Mohan S, Vollmuth P, Brugnara G, Preetha CJ, Sahm F, Maier-Hein K, Zenk M, Bendszus M, Wick W, Calabrese E, Rudie J, Villanueva-Meyer J, Cha S, Ingalhalikar M, Jadhav M, Pandey U, Saini J, Garrett J, Larson M, Jeraj R, Currie S, Frood R, Fatania K, Huang RY, Chang K, Balaña C, Capellades J, Puig J, Trenkler J, Pichler J, Necker G, Haunschmidt A, Meckel S, Shukla G, Liem S, Alexander GS, Lombardo J, Palmer JD, Flanders AE, Dicker AP, Sair HI, Jones CK, Venkataraman A, Jiang M, So TY, Chen C, Heng PA, Dou Q, Kozubek M, Lux F, Michálek J, Matula P, Keřkovský M, Kopřivová T, Dostál M, Vybíhal V, Vogelbaum MA, Mitchell JR, Farinhas J, Maldjian JA, Yogananda CGB, Pinho MC, Reddy D, Holcomb J, Wagner BC, Ellingson BM, Cloughesy TF, Raymond C, Oughourlian T, Hagiwara A, Wang C, To MS, Bhardwaj S, Chong C, Agzarian M, Falcão AX, Martins SB, Teixeira BCA, Sprenger F, Menotti D, Lucio DR, LaMontagne P, Marcus D, Wiestler B, Kofler F, Ezhov I, Metz M, Jain R, Lee M, Lui YW, McKinley R, Slotboom J, Radojewski P, Meier R, Wiest R, Murcia D, Fu E, Haas R, Thompson J, Ormond DR, Badve C, Sloan AE, Vadmal V, Waite K, Colen RR, Pei L, Ak M, Srinivasan A, Bapuraj JR, Rao A, Wang N, Yoshiaki O, Moritani T, Turk S, Lee J, Prabhudesai S, Morón F, Mandel J, Kamnitsas K, Glocker B, Dixon LVM, Williams M, Zampakis P, Panagiotopoulos V, Tsiganos P, Alexiou S, Haliassos I, Zacharaki EI, Moustakas K, Kalogeropoulou C, Kardamakis DM, Choi YS, Lee SK, Chang JH, Ahn SS, Luo B, Poisson L, Wen N, Tiwari P, Verma R, Bareja R, Yadav I, Chen J, Kumar N, Smits M, van der Voort SR, Alafandi A, Incekara F, Wijnenga MMJ, Kapsas G, Gahrmann R, Schouten JW, Dubbink HJ, Vincent AJPE, van den Bent MJ, French PJ, Klein S, Yuan Y, Sharma S, Tseng TC, Adabi S, Niclou SP, Keunen O, Hau AC, Vallières M, Fortin D, Lepage M, Landman B, Ramadass K, Xu K, Chotai S, Chambless LB, Mistry A, Thompson RC, Gusev Y, Bhuvaneshwar K, Sayah A, Bencheqroun C, Belouali A, Madhavan S, Booth TC, Chelliah A, Modat M, Shuaib H, Dragos C, Abayazeed A, Kolodziej K, Hill M, Abbassy A, Gamal S, Mekhaimar M, Qayati M, Reyes M, Park JE, Yun J, Kim HS, Mahajan A, Muzi M, Benson S, Beets-Tan RGH, Teuwen J, Herrera-Trujillo A, Trujillo M, Escobar W, Abello A, Bernal J, Gómez J, Choi J, Baek S, Kim Y, Ismael H, Allen B, Buatti JM, Kotrotsou A, Li H, Weiss T, Weller M, Bink A, Pouymayou B, Shaykh HF, Saltz J, Prasanna P, Shrestha S, Mani KM, Payne D, Kurc T, Pelaez E, Franco-Maldonado H, Loayza F, Quevedo S, Guevara P, Torche E, Mendoza C, Vera F, Ríos E, López E, Velastin SA, Ogbole G, Soneye M, Oyekunle D, Odafe-Oyibotha O, Osobu B, Shu'aibu M, Dorcas A, Dako F, Simpson AL, Hamghalam M, Peoples JJ, Hu R, Tran A, Cutler D, Moraes FY, Boss MA, Gimpel J, Veettil DK, Schmidt K, Bialecki B, Marella S, Price C, Cimino L, Apgar C, Shah P, Menze B, Barnholtz-Sloan JS, Martin J, Bakas S. Federated learning enables big data for rare cancer boundary detection. Nat Commun 2022; 13:7346. [PMID: 36470898 PMCID: PMC9722782 DOI: 10.1038/s41467-022-33407-5] [Citation(s) in RCA: 43] [Impact Index Per Article: 21.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2022] [Accepted: 09/16/2022] [Indexed: 12/12/2022] Open
Abstract
Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing.
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Affiliation(s)
- Sarthak Pati
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
| | - Ujjwal Baid
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | | | | | | | | | | | | | | | - Christos Davatzikos
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Chiharu Sako
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Satyam Ghodasara
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Michel Bilello
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Suyash Mohan
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Philipp Vollmuth
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | | | - Felix Sahm
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Department of Neuropathology, Heidelberg University Hospital, Heidelberg, Germany
| | - Klaus Maier-Hein
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
- Pattern Analysis and Learning Group, Department of Radiation Oncology, Heidelberg University Hospital, Heidelberg, Germany
| | - Maximilian Zenk
- Division of Medical Image Computing, German Cancer Research Center, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Wolfgang Wick
- Clinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK) within the German Cancer Research Center (DKFZ), Heidelberg, Germany
- Neurology Clinic, Heidelberg University Hospital, Heidelberg, Germany
| | - Evan Calabrese
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Jeffrey Rudie
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Javier Villanueva-Meyer
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Soonmee Cha
- Department of Radiology & Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Madhura Ingalhalikar
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Manali Jadhav
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Umang Pandey
- Symbiosis Center for Medical Image Analysis, Symbiosis International University, Pune, Maharashtra, India
| | - Jitender Saini
- Department of Neuroimaging and Interventional Radiology, National Institute of Mental Health and Neurosciences, Bangalore, Karnataka, India
| | - John Garrett
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Matthew Larson
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Robert Jeraj
- Department of Radiology, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
- Department of Medical Physics, School of Medicine and Public Health, University of Wisconsin, Madison, WI, USA
| | - Stuart Currie
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Russell Frood
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Kavi Fatania
- Leeds Teaching Hospitals Trust, Department of Radiology, Leeds, UK
| | - Raymond Y Huang
- Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA
| | - Ken Chang
- Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, MA, USA
| | | | | | - Josep Puig
- Department of Radiology (IDI), Girona Biomedical Research Institute (IdIBGi), Josep Trueta University Hospital, Girona, Spain
| | - Johannes Trenkler
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Josef Pichler
- Department of Neurooncology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Georg Necker
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Andreas Haunschmidt
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
| | - Stephan Meckel
- Institute of Neuroradiology, Neuromed Campus (NMC), Kepler University Hospital Linz, Linz, Austria
- Institute of Diagnostic and Interventional Neuroradiology, RKH Klinikum Ludwigsburg, Ludwigsburg, Germany
| | - Gaurav Shukla
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA
- Department of Radiation Oncology, Christiana Care Health System, Philadelphia, PA, USA
| | - Spencer Liem
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
| | - Gregory S Alexander
- Department of Radiation Oncology, University of Maryland, Baltimore, MD, USA
| | - Joseph Lombardo
- Sidney Kimmel Medical College, Thomas Jefferson University, Philadelphia, PA, USA
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Joshua D Palmer
- Department of Radiation Oncology, The James Cancer Hospital and Solove Research Institute, The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Adam E Flanders
- Department of Radiology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Adam P Dicker
- Department of Radiation Oncology, Sidney Kimmel Cancer Center, Thomas Jefferson University, Philadelphia, PA, USA
| | - Haris I Sair
- The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Craig K Jones
- The Malone Center for Engineering in Healthcare, The Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Archana Venkataraman
- Department of Electrical and Computer Engineering, Whiting School of Engineering, Johns Hopkins University, Baltimore, MD, USA
| | - Meirui Jiang
- The Chinese University of Hong Kong, Hong Kong, China
| | - Tiffany Y So
- The Chinese University of Hong Kong, Hong Kong, China
| | - Cheng Chen
- The Chinese University of Hong Kong, Hong Kong, China
| | | | - Qi Dou
- The Chinese University of Hong Kong, Hong Kong, China
| | - Michal Kozubek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Filip Lux
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Jan Michálek
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Petr Matula
- Centre for Biomedical Image Analysis, Faculty of Informatics, Masaryk University, Brno, Czech Republic
| | - Miloš Keřkovský
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Tereza Kopřivová
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
| | - Marek Dostál
- Department of Radiology and Nuclear Medicine, Faculty of Medicine, Masaryk University, Brno and University Hospital Brno, Brno, Czech Republic
- Department of Biophysics, Faculty of Medicine, Masaryk University, Brno, Czech Republic
| | - Václav Vybíhal
- Department of Neurosurgery, Faculty of Medicine, Masaryk University, Brno, and University Hospital and Czech Republic, Brno, Czech Republic
| | - Michael A Vogelbaum
- Department of Neuro Oncology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | - J Ross Mitchell
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Joaquim Farinhas
- Department of Radiology, H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, USA
| | | | | | - Marco C Pinho
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Divya Reddy
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - James Holcomb
- University of Texas Southwestern Medical Center, Dallas, TX, USA
| | | | - Benjamin M Ellingson
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Timothy F Cloughesy
- UCLA Neuro-Oncology Program, Department of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CaA, USA
| | - Catalina Raymond
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Talia Oughourlian
- UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Akifumi Hagiwara
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Chencai Wang
- Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA
| | - Minh-Son To
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
- Division of Surgery and Perioperative Medicine, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Sargam Bhardwaj
- College of Medicine and Public Health, Flinders University, Bedford Park, SA, Australia
| | - Chee Chong
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
| | - Marc Agzarian
- South Australia Medical Imaging, Flinders Medical Centre, Bedford Park, SA, Australia
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | | | | | - Bernardo C A Teixeira
- Instituto de Neurologia de Curitiba, Curitiba, Paraná, Brazil
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Flávia Sprenger
- Department of Radiology, Hospital de Clínicas da Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - David Menotti
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Diego R Lucio
- Department of Informatics, Universidade Federal do Paraná, Curitiba, Paraná, Brazil
| | - Pamela LaMontagne
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Daniel Marcus
- Department of Radiology, Washington University in St. Louis, St. Louis, MO, USA
| | - Benedikt Wiestler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
| | - Florian Kofler
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Ivan Ezhov
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- TranslaTUM (Zentralinstitut für translationale Krebsforschung der Technischen Universität München), Klinikum rechts der Isar, Munich, Germany
- Image-Based Biomedical Modeling, Department of Informatics, Technical University of Munich, Munich, Germany
| | - Marie Metz
- Department of Diagnostic and Interventional Neuroradiology, School of Medicine, Klinikum rechts der Isar, Technical University of Munich, Munich, Germany
| | - Rajan Jain
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
- Department of Neurosurgery, NYU Grossman School of Medicine, New York, NY, USA
| | - Matthew Lee
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Yvonne W Lui
- Department of Radiology, NYU Grossman School of Medicine, New York, NY, USA
| | - Richard McKinley
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Johannes Slotboom
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Piotr Radojewski
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Raphael Meier
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Roland Wiest
- Support Center for Advanced Neuroimaging, University Institute of Diagnostic and Interventional Neuroradiology, University Hospital Bern, Inselspital, University of Bern, Bern, Switzerland
| | - Derrick Murcia
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Eric Fu
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Rourke Haas
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - John Thompson
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - David Ryan Ormond
- Department of Neurosurgery, Anschutz Medical Campus, University of Colorado, Aurora, CO, USA
| | - Chaitra Badve
- Department of Radiology, University Hospitals Cleveland, Cleveland, OH, USA
| | - Andrew E Sloan
- Department of Neurological Surgery, University Hospitals-Seidman Cancer Center, Cleveland, OH, USA
- Case Comprehensive Cancer Center, Cleveland, OH, USA
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Vachan Vadmal
- Department of Neurosurgery, Case Western Reserve University School of Medicine, Cleveland, OH, USA
| | - Kristin Waite
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
| | - Rivka R Colen
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
- Department of Diagnostic Radiology, University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Linmin Pei
- University of Pittsburgh Medical Center, Pittsburgh, PA, USA
| | - Murat Ak
- Department of Radiology, Neuroradiology Division, University of Pittsburgh, Pittsburgh, PA, USA
| | - Ashok Srinivasan
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - J Rajiv Bapuraj
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Arvind Rao
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Nicholas Wang
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Ota Yoshiaki
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Toshio Moritani
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Sevcan Turk
- Department of Neuroradiology, University of Michigan, Ann Arbor, MI, USA
| | - Joonsang Lee
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Snehal Prabhudesai
- Department of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI, USA
| | - Fanny Morón
- Department of Radiology, Baylor College of Medicine, Houston, TX, USA
| | - Jacob Mandel
- Department of Neurology, Baylor College of Medicine, Houston, TX, USA
| | - Konstantinos Kamnitsas
- Department of Computing, Imperial College London, London, UK
- Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, UK
| | - Ben Glocker
- Department of Computing, Imperial College London, London, UK
| | - Luke V M Dixon
- Department of Radiology, Imperial College NHS Healthcare Trust, London, UK
| | - Matthew Williams
- Computational Oncology Group, Institute for Global Health Innovation, Imperial College London, London, UK
| | - Peter Zampakis
- Department of NeuroRadiology, University of Patras, Patras, Greece
| | | | - Panagiotis Tsiganos
- Clinical Radiology Laboratory, Department of Medicine, University of Patras, Patras, Greece
| | - Sotiris Alexiou
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | - Ilias Haliassos
- Department of Neuro-Oncology, University of Patras, Patras, Greece
| | - Evangelia I Zacharaki
- Department of Electrical and Computer Engineering, University of Patras, Patras, Greece
| | | | | | | | | | | | | | - Sung Soo Ahn
- Yonsei University College of Medicine, Seoul, Korea
| | - Bing Luo
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
| | - Laila Poisson
- Public Health Sciences, Henry Ford Health System, Detroit, MI, USA
| | - Ning Wen
- Department of Radiation Oncology, Henry Ford Health System, Detroit, MI, USA
- SJTU-Ruijin-UIH Institute for Medical Imaging Technology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, 200025, Shanghai, China
| | | | - Ruchika Verma
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
- Case Western Reserve University, Cleveland, OH, USA
| | - Rohan Bareja
- Case Western Reserve University, Cleveland, OH, USA
| | - Ipsa Yadav
- Case Western Reserve University, Cleveland, OH, USA
| | | | - Neeraj Kumar
- University of Alberta, Edmonton, AB, Canada
- Alberta Machine Intelligence Institute, Edmonton, AB, Canada
| | - Marion Smits
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Sebastian R van der Voort
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Ahmed Alafandi
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Fatih Incekara
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Maarten M J Wijnenga
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Georgios Kapsas
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Renske Gahrmann
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Joost W Schouten
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Hendrikus J Dubbink
- Department of Pathology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Arnaud J P E Vincent
- Department of Neurosurgery, Brain Tumor Center, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Martin J van den Bent
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Pim J French
- Department of Neurology, Brain Tumor Center, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | - Stefan Klein
- Biomedical Imaging Group Rotterdam, Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Centre Rotterdam, Rotterdam, Netherlands
| | - Yading Yuan
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Sonam Sharma
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Tzu-Chi Tseng
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Saba Adabi
- Department of Radiation Oncology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Simone P Niclou
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Olivier Keunen
- Translation Radiomics, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
| | - Ann-Christin Hau
- NORLUX Neuro-Oncology Laboratory, Department of Cancer Research, Luxembourg Institute of Health, Luxembourg, Luxembourg
- Luxembourg Center of Neuropathology, Laboratoire National De Santé, Luxembourg, Luxembourg
| | - Martin Vallières
- Department of Computer Science, Université de Sherbrooke, Sherbrooke, QC, Canada
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
| | - David Fortin
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Division of Neurosurgery and Neuro-Oncology, Faculty of Medicine and Health Science, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Martin Lepage
- Centre de Recherche du Centre Hospitalière Universitaire de Sherbrooke, Sherbrooke, QC, Canada
- Department of Nuclear Medicine and Radiobiology, Sherbrooke Molecular Imaging Centre, Université de Sherbrooke, Sherbrooke, QC, Canada
| | - Bennett Landman
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Karthik Ramadass
- Electrical and Computer Engineering, Vanderbilt University, Nashville, TN, USA
| | - Kaiwen Xu
- Department of Computer Science, Vanderbilt University, Nashville, TN, USA
| | - Silky Chotai
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Lola B Chambless
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Akshitkumar Mistry
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Reid C Thompson
- Department of Neurosurgery, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Yuriy Gusev
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Krithika Bhuvaneshwar
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anousheh Sayah
- Division of Neuroradiology & Neurointerventional Radiology, Department of Radiology, MedStar Georgetown University Hospital, Washington, DC, USA
| | - Camelia Bencheqroun
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Anas Belouali
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Subha Madhavan
- Innovation Center for Biomedical Informatics (ICBI), Georgetown University, Washington, DC, USA
| | - Thomas C Booth
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
- Department of Neuroradiology, Ruskin Wing, King's College Hospital NHS Foundation Trust, London, UK
| | - Alysha Chelliah
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Marc Modat
- School of Biomedical Engineering & Imaging Sciences, King's College London, London, UK
| | - Haris Shuaib
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
| | - Carmen Dragos
- Stoke Mandeville Hospital, Mandeville Road, Aylesbury, UK
| | | | | | | | | | - Shady Gamal
- University of Cairo School of Medicine, Giza, Egypt
| | | | | | | | - Ji Eun Park
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Jihye Yun
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Ho Sung Kim
- Department of Radiology, Asan Medical Center, Seoul, South Korea
| | - Abhishek Mahajan
- The Clatterbridge Cancer Centre NHS Foundation Trust Pembroke Place, Liverpool, UK
| | - Mark Muzi
- Department of Radiology, University of Washington, Seattle, WA, USA
| | - Sean Benson
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | - Regina G H Beets-Tan
- Department of Radiology, Netherlands Cancer Institute, Amsterdam, Netherlands
- GROW School of Oncology and Developmental Biology, Maastricht, Netherlands
| | - Jonas Teuwen
- Netherlands Cancer Institute, Amsterdam, Netherlands
| | | | | | - William Escobar
- Clínica Imbanaco Grupo Quirón Salud, Cali, Colombia
- Universidad del Valle, Cali, Colombia
| | | | - Jose Bernal
- Universidad del Valle, Cali, Colombia
- The University of Edinburgh, Edinburgh, UK
| | | | - Joseph Choi
- Department of Industrial and Systems Engineering, University of Iowa, Iowa, USA
| | - Stephen Baek
- Department of Industrial and Systems Engineering, Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Yusung Kim
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Heba Ismael
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - Bryan Allen
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | - John M Buatti
- Department of Radiation Oncology, University of Iowa, Iowa City, IA, USA
| | | | - Hongwei Li
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Tobias Weiss
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Michael Weller
- Department of Neurology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Andrea Bink
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | - Bertrand Pouymayou
- Department of Neuroradiology, Clinical Neuroscience Center, University Hospital Zurich and University of Zurich, Zurich, Switzerland
| | | | - Joel Saltz
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Prateek Prasanna
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Sampurna Shrestha
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
| | - Kartik M Mani
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Department of Radiation Oncology, Stony Brook University, Stony Brook, NY, USA
| | - David Payne
- Department of Radiology, Stony Brook University, Stony Brook, NY, USA
| | - Tahsin Kurc
- Department of Biomedical Informatics, Stony Brook University, Stony Brook, New York, USA
- Scientific Data Group, Oak Ridge National Laboratory, Oak Ridge, TN, USA
| | - Enrique Pelaez
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | - Francis Loayza
- Escuela Superior Politecnica del Litoral, Guayaquil, Guayas, Ecuador
| | | | | | | | | | - Franco Vera
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Elvis Ríos
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Eduardo López
- Universidad de Concepción, Concepción, Biobío, Chile
| | - Sergio A Velastin
- School of Electronic Engineering and Computer Science, Queen Mary University of London, London, UK
| | - Godwin Ogbole
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mayowa Soneye
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Dotun Oyekunle
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | | | - Babatunde Osobu
- Department of Radiology, University College Hospital Ibadan, Oyo, Nigeria
| | - Mustapha Shu'aibu
- Department of Radiology, Muhammad Abdullahi Wase Teaching Hospital, Kano, Nigeria
| | - Adeleye Dorcas
- Department of Radiology, Obafemi Awolowo University Ile-Ife, Ile-Ife, Osun, Nigeria
| | - Farouk Dako
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
- Center for Global Health, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Amber L Simpson
- Department of Biomedical and Molecular Sciences, Queen's University, Kingston, ON, Canada
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Mohammad Hamghalam
- School of Computing, Queen's University, Kingston, ON, Canada
- Department of Electrical Engineering, Qazvin Branch, Islamic Azad University, Qazvin, Iran
| | - Jacob J Peoples
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Ricky Hu
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Anh Tran
- School of Computing, Queen's University, Kingston, ON, Canada
| | - Danielle Cutler
- The Faculty of Arts & Sciences, Queen's University, Kingston, ON, Canada
| | - Fabio Y Moraes
- Department of Oncology, Queen's University, Kingston, ON, Canada
| | - Michael A Boss
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - James Gimpel
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Deepak Kattil Veettil
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Kendall Schmidt
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Brian Bialecki
- Data Science Institute, American College of Radiology, Reston, VA, USA
| | - Sailaja Marella
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Cynthia Price
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Lisa Cimino
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | - Charles Apgar
- Center for Research and Innovation, American College of Radiology, Philadelphia, PA, USA
| | | | - Bjoern Menze
- Department of Informatics, Technical University of Munich, Munich, Bavaria, Germany
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
| | - Jill S Barnholtz-Sloan
- National Cancer Institute, National Institute of Health, Division of Cancer Epidemiology and Genetics, Bethesda, MD, USA
- Center for Biomedical Informatics and Information Technology, National Cancer Institute (NCI), National Institute of Health, Bethesda, MD, USA
| | | | - Spyridon Bakas
- Center for Biomedical Image Computing and Analytics (CBICA), University of Pennsylvania, Philadelphia, PA, USA.
- Department of Radiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
- Department of Pathology and Laboratory Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
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7
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Hawro M, Sahin E, Steć M, Różewicka-Czabańska M, Raducha E, Garanyan L, Philipp S, Kokolakis G, Christou D, Kolkhir P, Pogorelov D, Weller K, Metz M, Sabat R, Maleszka R, Olisova O, Maurer M, Hawro T. A comprehensive, tri-national, cross-sectional analysis of characteristics and impact of pruritus in psoriasis. J Eur Acad Dermatol Venereol 2022; 36:2064-2075. [PMID: 35699348 DOI: 10.1111/jdv.18330] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2021] [Accepted: 05/05/2022] [Indexed: 01/04/2023]
Abstract
BACKGROUND Pruritus is prevalent in psoriasis but still many features of pruritus, its response to therapy and its burden in psoriasis remain to be better characterized. OBJECTIVE To investigate characteristics and burden of pruritus in an international cohort of patients with psoriasis. METHODS This cross-sectional study included a total of 634 patients and 246 controls from Germany, Poland and Russia. Physicians examined and interviewed participants, recording clinical characteristics, such as severity, therapy and localization of psoriatic lesions. Participants filled out self-reported questionnaires including questions on pruritus severity and impact, characteristics, and response to therapy, and quality of life (QoL). Localization patterns of pruritus and skin lesions were visualized using body heat maps. RESULTS Most patients (82%) experienced pruritus throughout their disease, and 75% had current pruritus. The majority of patients (64%) perceived pure pruritus, and those who reported additional painful and/or burning sensations (36%) reported overall stronger pruritus. The scalp was the most frequently reported localization of pruritus, even in the absence of skin lesions. Body surface area (BSA) of pruritus was not linked to pruritus intensity, but to BSA of psoriatic lesions (rho = 0.278; P < 0.001). One third of patients (31%) reported impaired sex-life, and 4% had suicidal ideations due to pruritus. In up to one third of patients, psoriasis therapies had little or no effect on pruritus. The only therapeutic option offered to some of these patients were antihistamines, which appeared to be effective in most cases. CONCLUSION Pruritus is highly prevalent in psoriasis and is linked to a significant burden. Current psoriasis therapies are frequently insufficient to control pruritus. Managing psoriasis should include the assessment and control of itch. Efficient antipruritic therapies should be developed and be made available for patients with psoriasis.
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Affiliation(s)
- M Hawro
- Department of Dermatology, Allergology and Venereology, Institute and Comprehensive Center for Inflammation Medicine, University Medical Center Schleswig-Holstein, Lübeck, Germany
| | - E Sahin
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.,Allergology and Immunology, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Berlin, Germany
| | - M Steć
- Department of Computer Science, Chair of Embedded Systems Architectures for Signal Processing, University of Potsdam, Potsdam, Germany
| | - M Różewicka-Czabańska
- Department of Skin and Venereal Diseases, Pomeranian Medical University, Szczecin, Poland
| | - E Raducha
- Department of Skin and Venereal Diseases, Pomeranian Medical University, Szczecin, Poland
| | - L Garanyan
- V.A. Rakhmanov Department of Skin and Venereal Diseases, I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia, Moscow, Russian Federation
| | - S Philipp
- Department of Dermatology and Allergy, Institute of Medical Immunology, Psoriasis Research and Treatment Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - G Kokolakis
- Department of Dermatology and Allergy, Institute of Medical Immunology, Psoriasis Research and Treatment Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - D Christou
- Department of Dermatology and Allergy, Institute of Medical Immunology, Psoriasis Research and Treatment Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany
| | - P Kolkhir
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.,Allergology and Immunology, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Berlin, Germany.,Division of Immune-Mediated Skin Diseases, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation
| | - D Pogorelov
- Division of Immune-Mediated Skin Diseases, I.M. Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russian Federation.,Department of Infection and Immunity, Luxembourg Institute of Health, Esch-sur-Alzette, Luxembourg
| | - K Weller
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.,Allergology and Immunology, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Berlin, Germany
| | - M Metz
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.,Allergology and Immunology, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Berlin, Germany
| | - R Sabat
- Department of Dermatology and Allergy, Institute of Medical Immunology, Psoriasis Research and Treatment Center, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Berlin, Germany.,Interdisciplinary Group of Molecular Immunopathology, Dermatology/Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - R Maleszka
- Department of Skin and Venereal Diseases, Pomeranian Medical University, Szczecin, Poland
| | - O Olisova
- V.A. Rakhmanov Department of Skin and Venereal Diseases, I.M. Sechenov First Moscow State Medical University, Ministry of Health of Russia, Moscow, Russian Federation
| | - M Maurer
- Institute of Allergology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.,Allergology and Immunology, Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Berlin, Germany
| | - T Hawro
- Department of Dermatology, Allergology and Venereology, Institute and Comprehensive Center for Inflammation Medicine, University Medical Center Schleswig-Holstein, Lübeck, Germany
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Ezhov I, Mot T, Shit S, Lipkova J, Paetzold JC, Kofler F, Pellegrini C, Kollovieh M, Navarro F, Li H, Metz M, Wiestler B, Menze B. Geometry-Aware Neural Solver for Fast Bayesian Calibration of Brain Tumor Models. IEEE Trans Med Imaging 2022; 41:1269-1278. [PMID: 34928790 DOI: 10.1109/tmi.2021.3136582] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Modeling of brain tumor dynamics has the potential to advance therapeutic planning. Current modeling approaches resort to numerical solvers that simulate the tumor progression according to a given differential equation. Using highly-efficient numerical solvers, a single forward simulation takes up to a few minutes of compute. At the same time, clinical applications of tumor modeling often imply solving an inverse problem, requiring up to tens of thousands of forward model evaluations when used for a Bayesian model personalization via sampling. This results in a total inference time prohibitively expensive for clinical translation. While recent data-driven approaches become capable of emulating physics simulation, they tend to fail in generalizing over the variability of the boundary conditions imposed by the patient-specific anatomy. In this paper, we propose a learnable surrogate for simulating tumor growth which maps the biophysical model parameters directly to simulation outputs, i.e. the local tumor cell densities, whilst respecting patient geometry. We test the neural solver in a Bayesian model personalization task for a cohort of glioma patients. Bayesian inference using the proposed surrogate yields estimates analogous to those obtained by solving the forward model with a regular numerical solver. The near real-time computation cost renders the proposed method suitable for clinical settings. The code is available at https://github.com/IvanEz/tumor-surrogate.
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Sahin E, Hawro M, Weller K, Sabat R, Philipp S, Kokolakis G, Christou D, Metz M, Maurer M, Hawro T. Prevalence and factors associated with sleep disturbance in adult patients with psoriasis. J Eur Acad Dermatol Venereol 2022; 36:688-697. [PMID: 35020226 DOI: 10.1111/jdv.17917] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2021] [Accepted: 12/16/2021] [Indexed: 12/01/2022]
Abstract
BACKGROUND Sleep, which is crucial for restoring of physiological functions and health, is reportedly impaired in psoriasis. The role of different potential sleep confounding factors, including detailed pruritus characteristics, and the complex interplay between psychological variables (anxiety and depression), pruritus and sleep disturbance in psoriasis remain insufficiently investigated. OBJECTIVES To investigate sleep characteristics and to identify clinical, demographic, and psychological factors associated with sleep disturbance in psoriasis. METHODS This cross-sectional study included 334 psoriasis patients (response rate 86%) and 126 control subjects (response rate 82%). Measures included sleep quality [Pittsburgh Sleep Quality Index (PSQI)], psoriasis severity, pruritus characteristics, including average pruritus intensity [Visual Analogue Scale (VAS)], severity of comorbidities, anxiety and depression (Hospital Anxiety and Depression Scale - HADS), and quality of life (Dermatology Life Quality Index - DLQI, and Short Form 12 - SF12). RESULTS Fifty-nine percent of patients, and 34% of control subjects (P<0.001) suffered from sleep disturbance (PSQI>5). Patients slept 1 hour less than control subjects (median 6 vs. 7 hours, P<0.001). Patients without pruritus had less impaired sleep (global PSQI) than patients with strong (P<0.001) and very strong pruritus (P<0.001). Anxiety (HADS-A) and depression (HADS-D) levels were the strongest predictors of sleep impairment, followed by pruritus exacerbation at night, age, female sex, pruritus exacerbation in the morning, average pruritus intensity (VAS), diagnosed depression and gastroesophageal reflux disease, altogether explaining 32% - 37% of the variance in global sleep quality. Both, anxiety (HADS-A) and depression (HADS-D) were significant mediators explaining the association between pruritus intensity (VAS) and sleep impairment in 42% and 37%, respectively. CONCLUSIONS Sleep disturbance in patients with psoriasis is highly prevalent. Patients with psoriasis should be assessed for sleep impairment, pruritus, anxiety, and depression. Reduction of pruritus should be considered as an important therapeutic goal, along with therapies aimed at reducing anxiety and depression.
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Affiliation(s)
- E Sahin
- Dermatological Allergology, Department of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Hawro
- Dermatological Allergology, Department of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - K Weller
- Dermatological Allergology, Department of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - R Sabat
- Interdisciplinary Group of Molecular Immunopathology, Dermatology/Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany.,Psoriasis Research and Treatment Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - S Philipp
- Psoriasis Research and Treatment Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - G Kokolakis
- Psoriasis Research and Treatment Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - D Christou
- Psoriasis Research and Treatment Center, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Metz
- Dermatological Allergology, Department of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Maurer
- Dermatological Allergology, Department of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - T Hawro
- Dermatological Allergology, Department of Dermatology, Venereology and Allergology, Charité - Universitätsmedizin Berlin, Berlin, Germany
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10
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van den Broek A, de Vroege L, Metz M, Gribling G, de Ridder A, van Eerd J. [Adaptation to changing needs in mental health care: mental health centers]. Tijdschr Psychiatr 2022; 64:101-107. [PMID: 35420153] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
BACKGROUND The increasing healthcare needs in the Netherlands lead to increasing healthcare costs and waiting lists and warrants sufficient (staff-)capacity. The current market-driven organization of care affects qualitative, accessible, and affordable care. Whether the Dutch mental healthcare system can adapt efficiently is questioned in this article. AIM Gaining insight into the developments and bottlenecks that can contribute to the realization of appropriate care in mental health. METHOD An overview of literature is given regarding developments and necessary adjustments in mental healthcare. RESULTS Appropriate care is value-driven, focused on health (instead of the absence of illness), based on management of health of the client and his network, is accessible, affordable and is offered at the right time and place. The collaborative innovation of Mental Healthcare Centers, in which GGz Breburg (specialized mental health care), Indigo Brabant (general mental health care), and health insurance company, form a sustainable coalition which is presented as a solution for manageability of the mental healthcaresystem. This coalition aims to improve the public values of mental healthcare as a response to the required paradigm shift and future model of mental healthcare. CONCLUSION As a regional network model, the Mental Healthcare Centers offer a desirable answer to the demand for an appropriate and future-proof mental healthcare. w.
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Darr C, Zschäbitz S, Ivanyi P, Wirth M, Staib P, Schostak M, Müller L, Metz M, Bergmann L, Steiner T, Lorch A, Schütt P, Rafiyan MR, Hellmis E, Hinke A, Mänz M, Meiler J, Kretz T, Flörcken A, Grünwald V. 679P Final results on efficacy and patient reported outcomes (PRO) of a randomized phase II trial investigating nivolumab switch-maintenance after TKI induction in metastatic clear cell renal cell carcinoma (mRCC) patients (NIVOSWITCH). Ann Oncol 2021. [DOI: 10.1016/j.annonc.2021.08.075] [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: 10/20/2022] Open
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12
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Gober M, Riegler A, Zagler N, Cires D, Beck F, Kirschner M, Steiner E, Metz M. PO-1372: Feasibility of treatment planning on contrast enhanced CTs for HN cancer. Radiother Oncol 2020. [DOI: 10.1016/s0167-8140(21)01391-8] [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: 10/22/2022]
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13
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Bernstein J, Maurer M, Giménez-Arnau A, Soong W, Metz M, Barbier N, Barve A, Severin T, Balp M, Janocha R. P153 COMPLETE CONTROL OF URTICARIA SYMPTOMS WITH LIGELIZUMAB HELPS NORMALIZE QUALITY OF LIFE. Ann Allergy Asthma Immunol 2020. [DOI: 10.1016/j.anai.2020.08.086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
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14
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Sussman G, Sitz K, Metz M, Hide M, Maurer M, Barbier N, Hua E, Janocha R, Severin T. D101 EFFICACY OF LIGELIZUMAB IN PATIENTS WITH CHRONIC SPONTANEOUS URTICARIA INADEQUATELY CONTROLLED WITH OMALIZUMAB. Ann Allergy Asthma Immunol 2020. [DOI: 10.1016/j.anai.2020.08.062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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15
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Pereira MP, Hoffmann V, Weisshaar E, Wallengren J, Halvorsen JA, Garcovich S, Misery L, Brenaut E, Savk E, Potekaev N, Lvov A, Bobko S, Szepietowski JC, Reich A, Bozek A, Legat FJ, Metz M, Streit M, Serra-Baldrich E, Gonçalo M, Storck M, Greiwe I, Nau T, Steinke S, Dugas M, Ständer S, Zeidler C. Chronic nodular prurigo: clinical profile and burden. A European cross-sectional study. J Eur Acad Dermatol Venereol 2020; 34:2373-2383. [PMID: 32078192 DOI: 10.1111/jdv.16309] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2019] [Accepted: 01/27/2020] [Indexed: 01/10/2023]
Abstract
BACKGROUND Chronic nodular prurigo (CNPG) is a condition characterized by chronic itch, a prolonged scratching behaviour and the presence of pruriginous nodules. A comprehensive understanding of this condition, especially regarding its clinical characteristics and impact on quality of life is still lacking. OBJECTIVES Aim of this pan-European multicentre cross-sectional study was to establish the clinical profile of CNPG, including its associated burden. METHODS Fifteen centres from 12 European countries recruited CNPG patients presenting at the centre or using the centres' own databases. Patients were asked to complete a questionnaire in paper or electronic format. Demography, current co-morbidities, underlying disease, itch intensity, additional sensory symptoms, quality of life, highest burden and emotional experience of itch were assessed. RESULTS A total of 509 patients (210 male, median age: 64 years [52; 72]) were enrolled. Of these, 406 reported itch and CNPG lesions in the previous 7 days and qualified to complete the whole questionnaire. We recorded moderate to severe worst itch intensity scores in the previous 24 h. Scores were higher in patients with lower educational levels and those coming from Eastern or Southern Europe. Most patients experience itch often or always (71%) and report that their everyday life is negatively affected (53%). Itch intensity was considered to be the most burdensome aspect of the disease by 49% of the patients, followed by the visibility of skin lesions (21%) and bleeding of lesions (21%). The majority of patients was unaware of an underlying condition contributing to CNPG (64%), while psychiatric diseases were the conditions most often mentioned in association with CNPG (19%). CONCLUSIONS This multicentre cross-sectional study shows that itch is the dominant symptom in CNPG and reveals that the profile of the disease is similar throughout Europe.
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Affiliation(s)
- M P Pereira
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - V Hoffmann
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - E Weisshaar
- Occupational Medicine, Department of Dermatology, University of Heidelberg, Heidelberg, Germany
| | - J Wallengren
- Department of Clinical Sciences Lund, Dermatology and Venereology and Skane University Hospital, Lund, Sweden
| | - J A Halvorsen
- Department of Dermatology, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - S Garcovich
- Institute of Dermatology, F. Policlinico A. Gemelli IRCCS, Università Cattolica del Sacro Cuore, Rome, Italy
| | - L Misery
- Department of Dermatology, University Hospital of Brest, Brest, France
| | - E Brenaut
- Department of Dermatology, University Hospital of Brest, Brest, France
| | - E Savk
- Department of Dermatology, Aydin Adnan Menderes University, Aydın, Turkey
| | - N Potekaev
- Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology, Moscow, Russia
| | - A Lvov
- Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology, Moscow, Russia
| | - S Bobko
- Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology, Moscow, Russia
| | - J C Szepietowski
- Department of Dermatology, Venereology and Allergology, Wroclaw Medical University, Wroclaw, Poland
| | - A Reich
- Department of Dermatology, University of Rzeszów, Rzeszów, Poland
| | - A Bozek
- Department of Dermatology, School of Medicine, University of Information Technology and Management, Rzeszow, Poland
| | - F J Legat
- Department of Dermatology, Medical University of Graz, Graz, Austria
| | - M Metz
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Streit
- Department of Dermatology, Kantonsspital Aarau, Aarau, Switzerland
| | | | - M Gonçalo
- Department of Dermatology, University Hospital and Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - M Storck
- Institute of Medical Informatics, University of Münster, Münster, Germany
| | - I Greiwe
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - T Nau
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - S Steinke
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - M Dugas
- Institute of Medical Informatics, University of Münster, Münster, Germany
| | - S Ständer
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - C Zeidler
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
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Schön S, Cabello J, Liesche-Starnecker F, Molina-Romero M, Eichinger P, Metz M, Karimov I, Preibisch C, Keupp J, Hock A, Meyer B, Weber W, Zimmer C, Pyka T, Yakushev I, Gempt J, Wiestler B. Imaging glioma biology: spatial comparison of amino acid PET, amide proton transfer, and perfusion-weighted MRI in newly diagnosed gliomas. Eur J Nucl Med Mol Imaging 2020; 47:1468-1475. [PMID: 31953672 PMCID: PMC7188730 DOI: 10.1007/s00259-019-04677-x] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2019] [Accepted: 12/30/2019] [Indexed: 02/07/2023]
Abstract
PURPOSE Imaging glioma biology holds great promise to unravel the complex nature of these tumors. Besides well-established imaging techniques such O-(2-[18F]fluoroethyl)-L-tyrosine (FET)-PET and dynamic susceptibility contrast (DSC) perfusion imaging, amide proton transfer-weighted (APTw) imaging has emerged as a promising novel MR technique. In this study, we aimed to better understand the relation between these imaging biomarkers and how well they capture cellularity and vascularity in newly diagnosed gliomas. METHODS Preoperative MRI and FET-PET data of 46 patients (31 glioblastoma and 15 lower-grade glioma) were segmented into contrast-enhancing and FLAIR-hyperintense areas. Using established cutoffs, we calculated hot-spot volumes (HSV) and their spatial overlap. We further investigated APTw and CBV values in FET-HSV. In a subset of 10 glioblastoma patients, we compared cellularity and vascularization in 34 stereotactically targeted biopsies with imaging. RESULTS In glioblastomas, the largest HSV was found for APTw, followed by PET and CBV (p < 0.05). In lower-grade gliomas, APTw-HSV was clearly lower than in glioblastomas. The spatial overlap of HSV was highest between APTw and FET in both tumor entities and regions. APTw correlated significantly with cellularity, similar to FET, while the association with vascularity was more pronounced in CBV and FET. CONCLUSIONS We found a relevant spatial overlap in glioblastomas between hotspots of APTw and FET both in contrast-enhancing and FLAIR-hyperintense tumor. As suggested by earlier studies, APTw was lower in lower-grade gliomas compared with glioblastomas. APTw meaningfully contributes to biological imaging of gliomas.
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Affiliation(s)
- S Schön
- Department of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - J Cabello
- Department of Nuclear Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - F Liesche-Starnecker
- Department of Neuropathology, Institute of Pathology, Technical University of Munich, Munich, Germany
| | - M Molina-Romero
- Image-based Biomedical Modeling, Technical University of Munich, Munich, Germany
| | - P Eichinger
- Department of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - M Metz
- Department of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - I Karimov
- Department of Nuclear Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - C Preibisch
- Department of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - J Keupp
- Philips Research, Hamburg, Germany
| | - A Hock
- Philips Health Systems, Zurich, Switzerland
| | - B Meyer
- Department of Neurosurgery, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - W Weber
- Department of Nuclear Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - C Zimmer
- Department of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - T Pyka
- Department of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany
| | - I Yakushev
- Department of Nuclear Medicine, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - J Gempt
- Department of Neurosurgery, Klinikum Rechts der Isar, Technical University of Munich, Munich, Germany
| | - B Wiestler
- Department of Neuroradiology, Klinikum Rechts der Isar, Technical University of Munich, Ismaninger Str. 22, 81675, Munich, Germany.
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17
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Misery L, Brenaut E, Pereira M, Augustin M, Bobko S, Dalgard F, Evers A, Garcovich S, Gieler U, Gonçalo M, Halvorsen J, Lambert J, Legat F, Leslie T, Metz M, Reich A, Savk E, Serra-Baldrich E, Streit M, Szepietowski J, Weisshaar E, Ständer S. Consensus d’experts européens pour la définition, la classification et la terminologie du prurigo chronique. Ann Dermatol Venereol 2019. [DOI: 10.1016/j.annder.2019.09.477] [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: 10/25/2022]
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18
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Affiliation(s)
- M. Metz
- Department of Dermatology, Venereology and Allergology Charité – Universitätsmedizin Berlin Charitéplatz 1 10117 Berlin Germany
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19
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Grünwald V, Grüllich C, Ivanyi P, Wirth M, Staib P, Schostak M, Dargatz P, Müller L, Metz M, Bergmann L, Welslau M, Schütt P, Rafiyan MR, Hellmis E, Hinke A, Meiler J, Kretz T, Loidl W, Flörcken A, Steiner T. A phase II trial of TKI induction followed by a randomized comparison between nivolumab or TKI continuation in renal cell carcinoma (NIVOSWITCH). Ann Oncol 2019. [DOI: 10.1093/annonc/mdz249.055] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
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20
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André F, Fluhr JW, Hawro T, Church MK, Maurer M, Metz M. Characterization of cowhage-induced pruritus in inflamed and non-inflamed skin. J Eur Acad Dermatol Venereol 2019; 34:202-206. [PMID: 31419339 DOI: 10.1111/jdv.15871] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2019] [Accepted: 06/27/2019] [Indexed: 12/19/2022]
Abstract
BACKGROUND AND OBJECTIVE Pruritus is a major symptom of many inflammatory diseases and impacts greatly the quality of life in patients. We aimed to specify the characteristics of experimentally induced pruritus in normal skin and in experimentally induced inflammatory dermatitis in healthy volunteers. METHODS Skin inflammation was induced by the repeated application of sodium lauryl sulphate (SLS 2%) on the volar forearms of 30 healthy volunteers. Inflammatory dermatitis intensity was assessed using the eczema score adapted from Frosch and Kligman. Non-histaminergic pruritus was induced by cowhage spicules rubbed on the volar forearms and recorded for 30 min on a 10-cm visual analogue scale (VAS) in both non-inflamed and inflamed skin. RESULTS Induction of inflammatory dermatitis by SLS resulted in a mild inflammatory dermatitis with an inflammation score of 2.3 ± 0.1 within 7 days of treatment. Cowhage-induced pruritus was of markedly higher intensity (P < 0.001), and all but two individuals had higher maximum pruritus intensity in inflamed skin as compared to non-inflamed skin, whereas the kinetics of the pruritus response were similar. The quality of cowhage-induced pruritus was significantly different with more 'burning' and 'painful sensations' in inflamed skin (P < 0.01). Maximum pruritus intensity in inflamed skin strongly correlated with maximum pruritus intensity in non-inflamed skin (r = 0.51, P = 0.004). Skin hydration, skin barrier integrity and dermatitis severity did not correlate with pruritus intensity. CONCLUSION Taken together, pruritus in inflamed skin is perceived as more intense, painful and burning. This may explain, in part, why pruritus is a major driver of quality-of-life impairment in patients with chronic inflammatory skin conditions such as atopic dermatitis.
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Affiliation(s)
- F André
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - J W Fluhr
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - T Hawro
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M K Church
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Maurer
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Metz
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
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21
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Hawro T, Lehmann S, Deuring E, Weller K, Altrichter S, Church M, Maurer M, Metz M. Comparison of pruritus and sensory qualities induced by capsaicin, histamine and cowhage. J Eur Acad Dermatol Venereol 2019; 33:1755-1761. [DOI: 10.1111/jdv.15743] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 05/29/2019] [Indexed: 11/29/2022]
Affiliation(s)
- T. Hawro
- Department of Dermatology and Allergy Charité – Universitätsmedizin Berlin Berlin Germany
| | - S. Lehmann
- Department of Dermatology and Allergy Charité – Universitätsmedizin Berlin Berlin Germany
| | - E. Deuring
- Department of Dermatology and Allergy Charité – Universitätsmedizin Berlin Berlin Germany
| | - K. Weller
- Department of Dermatology and Allergy Charité – Universitätsmedizin Berlin Berlin Germany
| | - S. Altrichter
- Department of Dermatology and Allergy Charité – Universitätsmedizin Berlin Berlin Germany
| | - M.K. Church
- Department of Dermatology and Allergy Charité – Universitätsmedizin Berlin Berlin Germany
| | - M. Maurer
- Department of Dermatology and Allergy Charité – Universitätsmedizin Berlin Berlin Germany
| | - M. Metz
- Department of Dermatology and Allergy Charité – Universitätsmedizin Berlin Berlin Germany
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22
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Fastner G, Sedlmayer F, Widder J, Metz M, Geinitz H, Kapp K, Sölkner L, Greil R, Jakesz R, Kwasny W, Heck D, Bjelic-Radisic V, Balic M, Stöger H, Wieder U, Zwrtek R, Semmler D, Horvath W, Melbinger-Zeinitzer E, Wiesholzer M, Wette V, Gnant M. OC-0270 Antihormones with or without irradiation in breast cancer: 10-year results of the ABCSG 8A trial. Radiother Oncol 2019. [DOI: 10.1016/s0167-8140(19)30690-5] [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: 10/26/2022]
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23
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Fastner G, Sedlmayer F, Widder J, Metz M, Geinitz H, Kapp K, Sölkner L, Greil R, Jakesz R, Gnant M. Antihormonal treatment with or without whole breast irradiation in low risk breast cancer patients after breast conserving surgery: 10-year results of the ABCSG 8A trial. Breast 2019. [DOI: 10.1016/s0960-9776(19)30286-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
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24
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Pereira MP, Zeidler C, Nau T, Bobko S, Evers AWM, Garcovich S, Gonçalo M, Halvorsen JA, Lambert J, Legat FJ, Leslie T, Metz M, Misery L, Nordlind K, Reich A, Schneider G, Ständer H, Streit M, Szepietowski JC, Wallengren J, Weisshaar E, Ständer S. Position Statement: Linear prurigo is a subtype of chronic prurigo. J Eur Acad Dermatol Venereol 2018; 33:263-266. [PMID: 30288812 DOI: 10.1111/jdv.15275] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2018] [Accepted: 07/26/2018] [Indexed: 11/27/2022]
Abstract
BACKGROUND Chronic prurigo (CPG) is a distinct disease characterized by chronic pruritus, history and/or signs of prolonged scratching and multiple pruriginous lesions. It may present with various clinical manifestations, including papules, nodules, plaques or umbilicated lesions. Some patients with chronic pruritus show pruriginous linear and scaring scratch lesions (LSSL) and it is unclear whether these lesions belong to the spectrum of CPG. OBJECTIVE To achieve a consensus on the classification of pruriginous LSSL and establish criteria to differentiate them from similar appearing conditions of different nature. METHODS Members of the Task Force Pruritus (TFP) of the European Academy of Dermatology and Venereology participated in the consensus conference, discussing representative clinical cases. Using the Delphi method, consensus was reached when ≥75% of members agreed on a statement. RESULTS Twenty-one members of the TFP with voting rights participated in the meeting. It was consented that LSSL occurs due to chronic pruritus and prolonged scratching, and share common pathophysiological mechanisms with CPG. LSSL were thus considered as belonging to the spectrum of CPG and the term 'linear prurigo' was chosen to describe this manifestation. CONCLUSION Considering linear prurigo as belonging to the spectrum of CPG has important clinical implications, since both the diagnostic and therapeutic approach of these patients should be performed as recommended for CPG. Importantly, linear prurigo should be differentiated from self-inflicted skin lesions as factitious disorders or skin picking syndromes. In the latter, artificial manipulation rather than pruritus itself leads to the development of cutaneous lesions, which can show clinical similarities to linear prurigo.
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Affiliation(s)
- M P Pereira
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - C Zeidler
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - T Nau
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
| | - S Bobko
- Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology, Moscow, Russia
| | - A W M Evers
- Department of Health, Medical and Neuropsychology, Institute of Psychology, Leiden University, Leiden, The Netherlands
| | - S Garcovich
- Institute of Dermatology, Catholic University of the Sacred Heart, Rome, Italy
| | - M Gonçalo
- Department of Dermatology, University Hospital and Faculty of Medicine, University of Coimbra, Coimbra, Portugal
| | - J A Halvorsen
- Department of Dermatology, Oslo University Hospital, University of Oslo, Oslo, Norway
| | - J Lambert
- Department of Dermatology, University Hospital of Antwerp, Antwerp, Belgium
| | - F J Legat
- Department of Dermatology, Medical University of Graz, Graz, Austria
| | - T Leslie
- Department of Dermatology, Royal Free Hospital, London, UK
| | - M Metz
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - L Misery
- Department of Dermatology, University Hospital of Brest, Brest, France
| | - K Nordlind
- Dermatology and Venereology Unit, Department of Medicine, Karolinska University Hospital, Solna, Sweden
| | - A Reich
- Department of Dermatology, University of Rzeszów, Rzeszów, Poland
| | - G Schneider
- Department of Psychosomatics and Psychotherapy, Münster University Hospital, Münster, Germany
| | - H Ständer
- Dermatological Practice, Bad Bentheim and Department of Dermatology, Klinikum Dortmund GmbH, Dortmund, Germany
| | - M Streit
- Department of Dermatology, Kantonsspital Aarau, Aarau, Switzerland
| | - J C Szepietowski
- Department of Dermatology, Venereology and Allergology, Wroclaw Medical University, Wroclaw, Poland
| | - J Wallengren
- Department of Dermatology and Venereology, Skåne University Hospital SUS Lund, Lund University, Lund, Sweden
| | - E Weisshaar
- Department of Social Medicine, Occupational and Environmental Dermatology, University of Heidelberg, Heidelberg, Germany
| | - S Ständer
- Department of Dermatology and Center for Chronic Pruritus, University Hospital Münster, Münster, Germany
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Weller K, Church MK, Hawro T, Altrichter S, Labeaga L, Magerl M, Metz M, Zuberbier T, Maurer M. Updosing of bilastine is effective in moderate to severe chronic spontaneous urticaria: A real-life study. Allergy 2018; 73:2073-2075. [PMID: 29869790 DOI: 10.1111/all.13494] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023]
Affiliation(s)
- K. Weller
- Department of Dermatology and Allergy Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - M. K. Church
- Department of Dermatology and Allergy Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - T. Hawro
- Department of Dermatology and Allergy Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - S. Altrichter
- Department of Dermatology and Allergy Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - L. Labeaga
- Medical Department FAES FARMA SA Leioa (Bizkaia) Spain
| | - M. Magerl
- Department of Dermatology and Allergy Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - M. Metz
- Department of Dermatology and Allergy Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - T. Zuberbier
- Department of Dermatology and Allergy Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - M. Maurer
- Department of Dermatology and Allergy Charité ‐ Universitätsmedizin Berlin Berlin Germany
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26
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Zuberbier T, Aberer W, Asero R, Abdul Latiff AH, Baker D, Ballmer-Weber B, Bernstein JA, Bindslev-Jensen C, Brzoza Z, Buense Bedrikow R, Canonica GW, Church MK, Craig T, Danilycheva IV, Dressler C, Ensina LF, Giménez-Arnau A, Godse K, Gonçalo M, Grattan C, Hebert J, Hide M, Kaplan A, Kapp A, Katelaris CH, Kocatürk E, Kulthanan K, Larenas-Linnemann D, Leslie TA, Magerl M, Mathelier-Fusade P, Meshkova RY, Metz M, Nast A, Nettis E, Oude-Elberink H, Rosumeck S, Saini SS, Sánchez-Borges M, Schmid-Grendelmeier P, Staubach P, Sussman G, Toubi E, Vena GA, Vestergaard C, Wedi B, Werner RN, Zhao Z, Maurer M. The EAACI/GA²LEN/EDF/WAO guideline for the definition, classification, diagnosis and management of urticaria. Allergy 2018; 73:1393-1414. [PMID: 29336054 DOI: 10.1111/all.13397] [Citation(s) in RCA: 767] [Impact Index Per Article: 127.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 12/18/2017] [Indexed: 02/06/2023]
Abstract
This evidence- and consensus-based guideline was developed following the methods recommended by Cochrane and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) working group. The conference was held on 1 December 2016. It is a joint initiative of the Dermatology Section of the European Academy of Allergology and Clinical Immunology (EAACI), the EU-founded network of excellence, the Global Allergy and Asthma European Network (GA²LEN), the European Dermatology Forum (EDF) and the World Allergy Organization (WAO) with the participation of 48 delegates of 42 national and international societies. This guideline was acknowledged and accepted by the European Union of Medical Specialists (UEMS). Urticaria is a frequent, mast cell-driven disease, presenting with wheals, angioedema, or both. The lifetime prevalence for acute urticaria is approximately 20%. Chronic spontaneous urticaria and other chronic forms of urticaria are disabling, impair quality of life and affect performance at work and school. This guideline covers the definition and classification of urticaria, taking into account the recent progress in identifying its causes, eliciting factors and pathomechanisms. In addition, it outlines evidence-based diagnostic and therapeutic approaches for the different subtypes of urticaria.
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Affiliation(s)
- T. Zuberbier
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Dermatology and Allergy; Allergy-Centre-Charité; Berlin Germany
| | - W. Aberer
- Department of Dermatology; Medical University of Graz; Graz Austria
| | - R. Asero
- Department of Allergology; Clinica San Carlo; Paderno Dugnano MI Italy
| | - A. H. Abdul Latiff
- Allergy& Immunology Centre; Pantai Hospital Kuala Lumpur; Kuala Lumpur Malaysia
| | - D. Baker
- Baker Allergy Asthma and Dermatology Clinic; Portland OR USA
| | - B. Ballmer-Weber
- Allergy Unit; Department of Dermatology; University Hospital; Zürich Switzerland
| | - J. A. Bernstein
- University of Cincinnati Physicians Immunology Research Center; Cincinnati OH USA
| | - C. Bindslev-Jensen
- Department of Dermatology and Allergy Centre; Odense University Hospital and University of Southern Denmark; Odense Denmark
| | - Z. Brzoza
- Department of Internal Diseases, Allergology and Clinical Immunology in Katowice; Medical University of Silesia; Katowice Poland
| | | | - G. W. Canonica
- Personalized Medicine Asthma and Allergy Clinic-Humanitas University & Research Hospital; Milano Italy
| | - M. K. Church
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Dermatology and Allergy; Allergy-Centre-Charité; Berlin Germany
| | - T. Craig
- Department of Medicine and Pediatrics; Penn State University; Hershey Medical Center; Hershey PA USA
| | - I. V. Danilycheva
- National Research Center-Institute of Immunology Federal Medical-Biological Agency of Russia; Moscow Russia
| | - C. Dressler
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Division of Evidence Based Medicine; Department of Dermatology; Berlin Germany
| | - L. F. Ensina
- Federal University of Sao Paulo; Sao Paulo Brazil
| | - A. Giménez-Arnau
- Hospital del Mar; IMIM; Universitat Autònoma Barcelona; Barcelona Spain
| | - K. Godse
- Department of Dermatology; Dr. D. Y. Patil Medical College & Hospital; Nerul Navi Mumbai India
| | - M. Gonçalo
- Clinic of Dermatology; Faculty of Medicine and University Hospital; Coimbra Portugal
| | - C. Grattan
- St John's’ Institute of Dermatology; Guy's’ and St. Thomas’ Hospital; NHS Foundation Trust; London UK
| | - J. Hebert
- Service d'allergie; Centre Hospitalier Université Laval/Centre Hospitalier Universitaire de Québec; Québec QC Canada
| | - M. Hide
- Department of Dermatology; Institute of Biomedical and Health Sciences; Hiroshima University; Hiroshima Japan
| | - A. Kaplan
- Department of Medicine; Division of Pulmonary and Critical Care Medicine; Allergy and Clinical Immunology; Medical University of South Carolina; Charleston SC USA
| | - A. Kapp
- Department of Dermatology and Allergy; Hannover Medical School; Hannover Germany
| | - C. H. Katelaris
- Campbelltown Hospital and Western Sydney University; Sydney Australia
| | - E. Kocatürk
- Department of Dermatology; Okmeydani Training and Research Hospital; Istanbul Turkey
| | - K. Kulthanan
- Department of Dermatology; Faculty of Medicine Siriraj Hospital; Mahidol University; Bangkok Thailand
| | | | | | - M. Magerl
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Dermatology and Allergy; Allergy-Centre-Charité; Berlin Germany
| | - P. Mathelier-Fusade
- Department of Dermatology and Allergy; University Hospital of Tenon; Paris France
| | - R. Y. Meshkova
- Department of Clinical Immunology and Allergy; Smolensk State Medical University; Smolensk Russia
| | - M. Metz
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Dermatology and Allergy; Allergy-Centre-Charité; Berlin Germany
| | - A. Nast
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Division of Evidence Based Medicine; Department of Dermatology; Berlin Germany
| | - E. Nettis
- Scuola e Cattedra di Allergologia e Immunologia Clinica; Dipartimento dell'Emergenza e dei Trapianti d'Organo; Università di Bari; Bari Italy
| | | | - S. Rosumeck
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Division of Evidence Based Medicine; Department of Dermatology; Berlin Germany
| | - S. S. Saini
- Johns Hopkins Asthma and Allergy Center; Baltimore MD USA
| | - M. Sánchez-Borges
- Allergy and Clinical Immunology Department; Centro Médico-Docente La Trinidad; Caracas Venezuela
| | | | - P. Staubach
- Department of Dermatology; University Medical Center Mainz; Mainz Germany
| | - G. Sussman
- Division of Allergy and Clinical Immunology; University of Toronto; Toronto ON Canada
| | - E. Toubi
- Bnai-Zion Medical Center; Faculty of Medicine; Technion Haifa Israel
| | - G. A. Vena
- Dermatology and Venereology Private Practice; Bari and Barletta Italy
| | - C. Vestergaard
- Department of Dermatology and Venereology; Aarhus University Hospital; Aarhus Denmark
| | - B. Wedi
- Department of Dermatology and Allergy; Hannover Medical School; Hannover Germany
| | - R. N. Werner
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Division of Evidence Based Medicine; Department of Dermatology; Berlin Germany
| | - Z. Zhao
- Department of Dermatology and Venereology; Peking University; First Hospital; Beijing China
| | - M. Maurer
- Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Department of Dermatology and Allergy; Allergy-Centre-Charité; Berlin Germany
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Zeidler C, Metz M, Steinke S, Ständer S. [Treatment of chronic pruritus-what is new?]. Hautarzt 2018; 69:641-646. [PMID: 29931387 DOI: 10.1007/s00105-018-4221-7] [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] [Indexed: 11/26/2022]
Abstract
Chronic pruritus is one of the most common and stressful symptoms in medicine. Therapy remains a great challenge because of the lack of approved therapies. In the recent past a greater understanding of the pathogenesis has enabled the results to be translated into new forms of therapy. The various therapies target a wide range of points in the pruritic cascade-from blockade of intracellular and intercellular signaling pathways in the skin to the modulation of neurotransmission. This article provides a summary of current therapeutic options based on the current S2K guideline and gives an overview about recent developments in antipruritic treatments.
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Affiliation(s)
- C Zeidler
- Kompetenzzentrum Chronischer Pruritus (KCP) und Klinik für Hautkrankheiten, Universitätsklinikum Münster, Von-Esmarch-Str. 58, 48149, Münster, Deutschland.
| | - M Metz
- Klinik für Dermatologie, Venerologie und Allergologie, Charité - Universitätsmedizin Berlin, Berlin, Deutschland
| | - S Steinke
- Kompetenzzentrum Chronischer Pruritus (KCP) und Klinik für Hautkrankheiten, Universitätsklinikum Münster, Von-Esmarch-Str. 58, 48149, Münster, Deutschland
| | - S Ständer
- Kompetenzzentrum Chronischer Pruritus (KCP) und Klinik für Hautkrankheiten, Universitätsklinikum Münster, Von-Esmarch-Str. 58, 48149, Münster, Deutschland
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28
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Dressler C, Rosumeck S, Werner RN, Magerl M, Metz M, Maurer M, Nast A, Zuberbier T. Executive summary of the methods report for 'The EAACI/GA 2 LEN/EDF/WAO Guideline for the Definition, Classification, Diagnosis and Management of Urticaria. The 2017 Revision and Update'. Allergy 2018; 73:1145-1146. [PMID: 29336489 DOI: 10.1111/all.13414] [Citation(s) in RCA: 51] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Affiliation(s)
- C. Dressler
- Division of Evidence-Based Medicine; Department of Dermatology; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Berlin Germany
| | - S. Rosumeck
- Division of Evidence-Based Medicine; Department of Dermatology; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Berlin Germany
| | - R. N. Werner
- Division of Evidence-Based Medicine; Department of Dermatology; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Berlin Germany
| | - M. Magerl
- Department of Dermatology; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Berlin Germany
| | - M. Metz
- Department of Dermatology; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Berlin Germany
| | - M. Maurer
- Department of Dermatology; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Berlin Germany
| | - A. Nast
- Division of Evidence-Based Medicine; Department of Dermatology; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Berlin Germany
| | - T. Zuberbier
- Department of Dermatology; Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health; Berlin Germany
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29
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Durski M, Metz M, Crim G, Hass S, Mazur R, Vieira S. Effect of Chlorhexidine Treatment Prior to Fiber Post Cementation on Long-Term Resin Cement Bond Strength. Oper Dent 2018; 43:E72-E80. [PMID: 29504878 DOI: 10.2341/16-241-lr2] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
The purpose of this study was to evaluate the push-out bond strength of two different adhesive cements (total etch and self-adhesive) for glass fiber post (GFP) cementation in simulated, long-term service (thermocycling) when the root canal is treated with chlorhexidine before cementation. One hundred twenty premolar specimens with a single root canal were selected, endodontically treated, and shaped for GFP cementation (n=120). The specimens were randomly placed into one of 12 groups (10 specimens each) according to cement (T = total-etch RelyX ARC or S = self-adhesive RelyX Unicem), treatment with chlorhexidine (N or Y: without or with), and number of thermal cycles (00, 20, or 40: 0, or 20,000 or 40,000 cycles): 1. TN00, 2. TN20, 3. TN40, 4. TY00, 5. TY20, 6. TY40, 7. SN00, 8. SN20, 9. SN40, 10. SY00, 11. SY20, 12. SY40. The root of each specimen was cut perpendicular to the vertical axis, yielding six 1.0 mm-thick sections. A push-out bond strength test was performed followed by statistical analysis using a factorial analysis of variance. Pairwise comparisons of significant factor interactions were adjusted using the Tukey test. Significant differences of push-out bond strengths were found in the four main effects (resin cement [ p<0.0001], treatment with chlorhexidine [ p<0.0001], number of cycles [ p<0.0001], and root third [ p<0.0001]) and all interactions ( p<0.05 for all). Both resin cements produced higher bond strength in the cervical third followed by the middle third, and lower values were detected in the apical third. Additionally, the results suggest that the use of an additional disinfection treatment with chlorhexidine before the cement application produced the highest push-out bond strength regardless of root third. Further, the thermocycling simulation decreased the bond strength for both resin cements long-term when the chlorhexidine was not applied before cementation. However, when the root canal was treated with chlorhexidine and the fiber post was cemented with self-adhesive cement, the bond strength increased after 0, 20,000 and 40,000 cycles.
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Staubach P, Metz M, Chapman-Rothe N, Sieder C, Bräutigam M, Maurer M, Weller K. Omalizumab rapidly improves angioedema-related quality of life in adult patients with chronic spontaneous urticaria: X-ACT study data. Allergy 2018; 73:576-584. [PMID: 29058822 PMCID: PMC5836932 DOI: 10.1111/all.13339] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [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] [Accepted: 10/18/2017] [Indexed: 01/11/2023]
Abstract
Background The X‐ACT study aimed to examine the effect of omalizumab treatment on quality of life (QoL) in chronic spontaneous urticaria (CSU) patients with angioedema refractory to high doses of H1‐antihistamines. Methods In X‐ACT, a phase III, double‐blind, placebo‐controlled study, CSU patients (18‐75 years) with ≥4 angioedema episodes during the 6 months before inclusion were randomized (1:1) to receive omalizumab 300 mg or placebo every 4 weeks for 28 weeks. Angioedema‐related QoL, skin‐related QoL impairment, and psychological well‐being were assessed. Results Ninety‐one patients were randomized and 68 (omalizumab, n = 35; placebo, n = 33) completed the 28‐week treatment period. At baseline, the mean (SD) total Angioedema QoL (AE‐QoL; 56.2 [18.7] and 59.9 [19.2]) and Dermatology Life Quality Index (DLQI; 14.6 [5.7] and 16.6 [7.3]) score were high in the omalizumab and placebo group, respectively. At Week 4 (after the first treatment), the least squares mean difference in the AE‐QoL and DLQI score between groups was −17.6 (P < .001) and −7.2 (P < .001), respectively. Significant QoL improvements in the omalizumab vs placebo groups continued until Week 28, but returned to placebo levels at the follow‐up visit. The mean (SD) baseline 5‐item World Health Organization Well‐being Index was 10.0 (5.5, omalizumab) and 7.7 (5.3, placebo), which increased above the depression threshold (<13) from Week 4 and throughout with omalizumab but not placebo treatment. Compared to placebo, omalizumab was also associated with decreased fear of suffocation due to angioedema. Conclusions Our findings support omalizumab treatment in patients with severe H1‐antihistamine‐refractory CSU with angioedema.
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Affiliation(s)
- P. Staubach
- Department of Dermatology; University Medical Center Mainz; Mainz Germany
| | - M. Metz
- Department of Dermatology and Allergy; Charité - Universitätsmedizin Berlin; Berlin Germany
| | | | - C. Sieder
- Novartis Pharma GmbH; Nuernberg Germany
| | | | - M. Maurer
- Department of Dermatology and Allergy; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - K. Weller
- Department of Dermatology and Allergy; Charité - Universitätsmedizin Berlin; Berlin Germany
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Maurer M, Altrichter S, Metz M, Zuberbier T, Church MK, Bergmann KC. Benefit from reslizumab treatment in a patient with chronic spontaneous urticaria and cold urticaria. J Eur Acad Dermatol Venereol 2018; 32:e112-e113. [PMID: 28924988 DOI: 10.1111/jdv.14594] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- M Maurer
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - S Altrichter
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Metz
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - T Zuberbier
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M K Church
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - K-C Bergmann
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
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32
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Hawro T, Ohanyan T, Schoepke N, Metz M, Peveling‐Oberhag A, Staubach P, Maurer M, Weller K. Comparison and interpretability of the available urticaria activity scores. Allergy 2018; 73:251-255. [PMID: 28815631 DOI: 10.1111/all.13271] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/11/2017] [Indexed: 11/28/2022]
Abstract
The urticaria activity score (UAS) is the gold standard for assessing disease activity in patients with chronic spontaneous urticaria (CSU). Two different versions, the UAS7 and UAS7TD , are currently used in clinical trials and routine care. To compare both versions and to obtain data on their interpretability, 130 CSU patients applied both versions and globally rated their disease activity as none, mild, moderate, or severe. UAS7 and UAS7TD values correlated strongly (r = .90, P < .001). Interquartile ranges for UAS7 and UAS7TD values for mild, moderate, and severe CSU were 11-20 and 10-24, 16-30 and 16-32, and 27-37 and 28-40. UAS7 values were slightly, but significantly lower as compared to UAS7TD values (mean difference: 1.6 ± 4.6, P < .001). This difference was driven by lower wheal subscores (2.1 ± 3.5, P < .001) and was most pronounced in patients with severe CSU (2.5 ± 5.6, P < .01). The UAS7/UAS7TD ratio was 0.96 ± 0.21 and did not differ significantly between mild, moderate, and severe CSU. Since the results of both UAS versions are comparable, we recommend the use of the UAS7, which is less burdensome in administration and scoring.
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Affiliation(s)
- T. Hawro
- Department of Dermatology and Allergy Allergie‐Centrum‐Charité Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - T. Ohanyan
- Department of Dermatology and Allergy Allergie‐Centrum‐Charité Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - N. Schoepke
- Department of Dermatology and Allergy Allergie‐Centrum‐Charité Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - M. Metz
- Department of Dermatology and Allergy Allergie‐Centrum‐Charité Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | | | - P. Staubach
- Department of Dermatology University Medical Center Mainz Mainz Germany
| | - M. Maurer
- Department of Dermatology and Allergy Allergie‐Centrum‐Charité Charité ‐ Universitätsmedizin Berlin Berlin Germany
| | - K. Weller
- Department of Dermatology and Allergy Allergie‐Centrum‐Charité Charité ‐ Universitätsmedizin Berlin Berlin Germany
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Abstract
Chronic spontaneous urticaria (CSU) is a mast cell-driven disease that is defined as the recurrence of weals, angioedema or both for > 6 weeks due to known or unknown causes. As of yet, disease diagnosis is purely clinical. Objective tools are needed to monitor the activity of CSU and the efficacy of treatment. Recently, several reports have suggested that blood parameters may be considered as potential disease-related biomarkers. Here, we reviewed available literature on blood biomarkers for CSU diagnosis, activity monitoring, duration, patient subgroup allocation or response to treatment. We performed a PubMed, Google Scholar and Web of Science search and identified and analysed 151 reports published prior to January 2016. We found strong evidence for significant differences between patients with CSU and healthy controls in blood levels or values of D-dimer, C-reactive protein (CRP), matrix metalloproteinase-9 (MMP-9), mean platelet volume (MPV), factor VIIa, prothrombin fragment 1 + 2 (F1 + 2), tumour necrosis factor, dehydroepiandrosterone sulphate and vitamin D. Also, there is strong evidence for a significant association between CSU activity and blood levels or values of D-dimer, F1 + 2, CRP, IL-6 and MPV. Strong evidence for reduced basophil count and high levels of IgG anti-FcεRI in the subgroup of CSU patients with positive autologous serum skin test was shown. In contrast, the evidence for all reported blood biomarkers for differentiating CSU from other diseases, or a role in prognosis, is weak, inconsistent or non-existent. Taken together, we identified 10 biomarkers that are supported by strong evidence for distinguishing patients with CSU from healthy controls, or for measuring CSU activity. There is a need for further research to identify biomarkers that predict outcome or treatment response in CSU.
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Affiliation(s)
- P Kolkhir
- Department of Dermatology and Venereology, I.M. Sechenov First Moscow State Medical University, Moscow, Russia
| | - F André
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M K Church
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Maurer
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - M Metz
- Department of Dermatology and Allergy, Charité - Universitätsmedizin Berlin, Berlin, Germany
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Terhorst D, Koti I, Krause K, Metz M, Maurer M. In chronic spontaneous urticaria, high numbers of dermal endothelial cells, but not mast cells, are linked to recurrent angio-oedema. Clin Exp Dermatol 2017; 43:131-136. [PMID: 29064119 DOI: 10.1111/ced.13254] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/23/2017] [Indexed: 12/27/2022]
Abstract
BACKGROUND Chronic spontaneous urticaria (CSU) is an inflammatory skin disorder characterized by recurrent weals, angio-oedema or both. Recent studies have shown that the number of endothelial cells is increased in the skin of patients with CSU, but the underlying mechanisms and clinical implications of this are unclear. AIM To evaluate whether mast cell (MC) or endothelial cell (EC) numbers correlate with CSU and whether they are relevant for disease duration, disease activity or the presence of clinical features. METHODS We determined the numbers of CD31+ ECs and MCs in nonlesional skin of 30 patients with CSU using quantitative histomorphometry, and assessed their correlation with each other and with clinical features such as disease duration, disease activity and occurrence of angio-oedema. RESULTS The numbers of MCs and ECs were high in the nonlesional skin of patients with CSU, but did not correlate with each other. Neither MC number nor EC number correlated with disease duration or disease activity. Interestingly, patients with high numbers of cutaneous CD31+ ECs had higher rates of recurrent angio-oedema and vice versa. CONCLUSIONS Based on these findings, we speculate that vascular remodelling and MC hyperplasia in patients with CSU occurs independently and via different mechanisms. Targeting of the mechanisms that drive neoangiogenesis in CSU may result in novel therapeutic strategies for the management of patients with angio-oedema.
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Affiliation(s)
- D Terhorst
- Allergie-Centrum-Charité, Department of Dermatology and Allergy, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
| | - I Koti
- Allergie-Centrum-Charité, Department of Dermatology and Allergy, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - K Krause
- Allergie-Centrum-Charité, Department of Dermatology and Allergy, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - M Metz
- Allergie-Centrum-Charité, Department of Dermatology and Allergy, Charité-Universitätsmedizin Berlin, Berlin, Germany
| | - M Maurer
- Allergie-Centrum-Charité, Department of Dermatology and Allergy, Charité-Universitätsmedizin Berlin, Berlin, Germany
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35
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Hawro T, Przybylowicz K, Ellrich A, Spindler M, Weller K, Altrichter S, Reidel U, Maurer M, Metz M. 041 Prevalence, characteristics and burden of pruritus in chronic dermatoses. J Invest Dermatol 2017. [DOI: 10.1016/j.jid.2017.07.137] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Kolkhir P, Metz M, Altrichter S, Maurer M. Comorbidity of chronic spontaneous urticaria and autoimmune thyroid diseases: A systematic review. Allergy 2017; 72:1440-1460. [PMID: 28407273 DOI: 10.1111/all.13182] [Citation(s) in RCA: 91] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/10/2017] [Indexed: 02/01/2023]
Abstract
Patients with chronic spontaneous urticaria (CSU) are widely held to often have other autoimmune disorders, including autoimmune thyroid disease. Here, we systematically evaluated the literature on the prevalence of thyroid autoimmunity in CSU and vice versa. There is a strong link between CSU and elevated levels of IgG antithyroid autoantibodies (AAbs), with most of a large number of studies reporting rates of ≥10%. Levels of IgG against thyroid peroxidase (TPO) are more often elevated in CSU than those of other IgG antithyroid AAbs (strong evidence). Levels of IgG antithyroid AAbs are more often elevated in adult patients with CSU than in children (strong evidence). Patients with CSU exhibit significantly higher levels of IgG antithyroid AAbs (strong evidence) and IgE-anti-TPO (weak evidence) than controls. Elevated IgG antithyroid AAbs in CSU are linked to the use of glucocorticoids (weak evidence) but not to disease duration or severity/activity, gender, age, or ASST response (inconsistent evidence). Thyroid dysfunction rates are increased in patients with CSU (strong evidence). Hypothyroidism and Hashimoto's thyroiditis are more common than hyperthyroidism and Graves' disease (strong evidence). Thyroid dysfunction is more common in adult patients with CSU than in children (strong evidence) and in female than in male patients with CSU (weak evidence). Urticaria including CSU is more prevalent in patients with thyroid autoimmunity than in controls (weak evidence). CSU can improve in response to treatment with levothyroxine or other thyroid drugs (strong evidence). Pathogenic mechanisms in CSU patients with thyroid autoimmunity may include IgE against autoantigens, immune complexes, and complement.
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Affiliation(s)
- P. Kolkhir
- Department of Dermatology and Venereology; I.M. Sechenov First Moscow State Medical University; Moscow Russia
| | - M. Metz
- Department of Dermatology and Allergy; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - S. Altrichter
- Department of Dermatology and Allergy; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - M. Maurer
- Department of Dermatology and Allergy; Charité - Universitätsmedizin Berlin; Berlin Germany
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Pereira M, Steinke S, Zeidler C, Forner C, Riepe C, Augustin M, Bobko S, Dalgard F, Elberling J, Garcovich S, Gieler U, Gonçalo M, Halvorsen JA, Leslie T, Metz M, Reich A, Şavk E, Schneider G, Serra-Baldrich E, Ständer H, Streit M, Wallengren J, Weller K, Wollenberg A, Bruland P, Soto-Rey I, Storck M, Dugas M, Weisshaar E, Szepietowski J, Legat F, Ständer S. European academy of dermatology and venereology European prurigo project: expert consensus on the definition, classification and terminology of chronic prurigo. J Eur Acad Dermatol Venereol 2017; 32:1059-1065. [DOI: 10.1111/jdv.14570] [Citation(s) in RCA: 98] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2017] [Accepted: 08/03/2017] [Indexed: 11/27/2022]
Affiliation(s)
- M.P. Pereira
- Department of Dermatology; Competence Center for Chronic Pruritus; University Hospital Münster; Münster Germany
| | - S. Steinke
- Department of Dermatology; Competence Center for Chronic Pruritus; University Hospital Münster; Münster Germany
| | - C. Zeidler
- Department of Dermatology; Competence Center for Chronic Pruritus; University Hospital Münster; Münster Germany
| | - C. Forner
- Department of Dermatology; Competence Center for Chronic Pruritus; University Hospital Münster; Münster Germany
| | - C. Riepe
- Department of Dermatology; Competence Center for Chronic Pruritus; University Hospital Münster; Münster Germany
| | - M. Augustin
- Competence Center for Healthcare Research in Dermatology (CVderm); Institute for Healthcare Research in Dermatology and Nursing (IVDP); University Hospital of Hamburg-Eppendorf; Hamburg Germany
| | - S. Bobko
- Moscow Scientific and Practical Center of Dermatovenerology and Cosmetology; Moscow Russia
| | - F. Dalgard
- Department of Dermatology and Venereology; Skåne University Hospital; Lund University; Malmö Sweden
| | - J. Elberling
- Department of Dermatology; University Hospital Gentofte; Copenhagen Denmark
| | - S. Garcovich
- Institute of Dermatology; Catholic University of the Sacred Heart; Rome Italy
| | - U. Gieler
- Justus Liebig University; Giessen Germany
| | - M. Gonçalo
- Department of Dermatology; University Hospital and Faculty of Medicine; University of Coimbra; Coimbra Portugal
| | - J. A. Halvorsen
- Department of Dermatology; Oslo University Hospital; University of Oslo; Oslo Norway
| | - T.A. Leslie
- Department of Dermatology; Royal Free Hospital; London UK
| | - M. Metz
- Department of Dermatology and Allergy; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - A. Reich
- Department of Dermatology; University of Rzeszow; Rzeszow Poland
| | - E. Şavk
- Department of Dermatology; Adnan Menderes University; Aydın Turkey
| | - G. Schneider
- Department of Psychosomatics and Psychotherapy; Münster University Hospital; Münster Germany
| | - E. Serra-Baldrich
- Department of Dermatology; Cutaneous Allergy Unit; Hospital Sant Pau; Universitat Autònoma Barcelona; Barcelona Spain
| | - H.F. Ständer
- Dermatological Practice; Bad Bentheim and Department of Dermatology; Klinikum Dortmund GmbH; Dortmund Germany
| | - M. Streit
- Department of Dermatology; Kantonsspital Aarau; Aarau Switzerland
| | - J. Wallengren
- Department of Dermatology and Venereology; Skåne University Hospital SUS Lund; Lund University; Lund Sweden
| | - K. Weller
- Department of Dermatology and Allergy; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - A. Wollenberg
- Department of Dermatology and Allergology; Ludwig Maximilian University; Munich Germany
| | - P. Bruland
- Institute of Medical Informatics; University of Münster; Münster Germany
| | - I. Soto-Rey
- Institute of Medical Informatics; University of Münster; Münster Germany
| | - M. Storck
- Institute of Medical Informatics; University of Münster; Münster Germany
| | - M. Dugas
- Institute of Medical Informatics; University of Münster; Münster Germany
| | - E. Weisshaar
- Department of Social Medicine, Occupational and Environmental Dermatology; University of Heidelberg; Heidelberg Germany
| | - J.C. Szepietowski
- Department of Dermatology, Venereology and Allergology; Wroclaw Medical University; Wroclaw Poland
| | - F.J. Legat
- Department of Dermatology; Medical University of Graz; Graz Austria
| | - S. Ständer
- Department of Dermatology; Competence Center for Chronic Pruritus; University Hospital Münster; Münster Germany
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Forshaw D, Horwitz AM, Ellard K, Friend JA, Greed L, Metz M. Hyperoxaluria, hyperglycoluria and renal oxalosis in Gilbert's potoroos (Potorous gilbertii
). Aust Vet J 2017; 95:250-258. [DOI: 10.1111/avj.12596] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2014] [Revised: 03/21/2016] [Accepted: 05/23/2016] [Indexed: 11/29/2022]
Affiliation(s)
- D Forshaw
- Department of Agriculture and Food; 444 Albany Highway; Albany Western Australia 6330 Australia
| | - AM Horwitz
- Lockyer Avenue Veterinary Hospital; Albany WA Australia
| | - K Ellard
- Department of Agriculture and Food; 444 Albany Highway; Albany Western Australia 6330 Australia
| | - JA Friend
- Department of Parks and Wildlife; Albany WA Australia
| | - L Greed
- Department of Clinical Biochemistry; Princess Margaret Hospital; Subiaco WA Australia
| | - M Metz
- Women's and Children's Hospital; North Adelaide; South Australia Australia
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Grey VL, Loh TP, Metz M, Lang T, Hersberger M. Paediatric Laboratory Medicine - Some reflections on the sub-specialty. Clin Biochem 2017; 50:648-650. [PMID: 28410851 DOI: 10.1016/j.clinbiochem.2017.04.005] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/10/2017] [Indexed: 11/27/2022]
Affiliation(s)
- V L Grey
- Department of Pathology and Molecular Medicine, McMaster University, Hamilton, ON, Canada.
| | - T P Loh
- Department of Laboratory Medicine, National University Hospital, Singapore
| | - M Metz
- SAPath at The Women's & Children's Hospital, North Adelaide, SA, Australia
| | - T Lang
- Department of Clinical Biochemistry, University Hospital of North Durham, Durham DH1 5TW, UK
| | - M Hersberger
- Division of Clinical Chemistry and Biochemistry, University Children's Hospital Zurich, Steinwiesstrasse 75, 8032 Zurich, Switzerland
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Hawro T, Lehmann S, Altrichter S, Fluhr JW, Zuberbier T, Church MK, Maurer M, Metz M. Skin provocation tests may help to diagnose atopic dermatitis. Allergy 2016; 71:1745-1752. [PMID: 27472813 DOI: 10.1111/all.12995] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/26/2016] [Indexed: 11/27/2022]
Abstract
BACKGROUND Atopic dermatitis (AD) is a common skin disorder. Its diagnosis relies on clinical judgment. Mild and untypical manifestations may cause diagnostic difficulties. Biomarkers for the differential diagnostic workup of AD are needed. OBJECTIVE To test whether the results of skin provocation with cowhage, an established model of histamine-independent pruritus, and histamine are different in AD patients and healthy subjects and whether these tests may be used as diagnostic markers of AD. METHODS Twenty-two AD patients and 18 healthy controls were subjected to topical cowhage provocation and skin prick testing with histamine and assessed for differences in the quality, intensity, and persistence of itch, for wheal diameter, volume, and flare size and intensity. RESULTS Patients with AD, compared with healthy controls, exhibited significantly smaller histamine-induced flares (P < 0.01) and markedly longer itch persistence after provocation with cowhage (P < 0.01). Both parameters showed good diagnostic properties for AD (area under the receiver operating characteristic (ROC) curve 0.78 and 0.80, respectively). The persistence of cowhage-induced itch for at least 30 min and a histamine-induced flare of less than 2 cm in diameter were reliable thresholds for the diagnosis of AD. If combinations of the results of both tests were used, their sensitivity and specificity of diagnosing AD were up to 91% and 94%, respectively. CONCLUSION The clinical benefit of cowhage and histamine skin provocation tests should be investigated in further studies. Long persistence of cowhage-induced itch and diminished histamine-induced flare in nonlesional skin may support diagnosis of AD.
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Affiliation(s)
- T. Hawro
- Department of Dermatology and Allergy; Allergie-Centrum Charité; Charité-Universitätsmedizin Berlin; Berlin Germany
| | - S. Lehmann
- Department of Dermatology and Allergy; Allergie-Centrum Charité; Charité-Universitätsmedizin Berlin; Berlin Germany
| | - S. Altrichter
- Department of Dermatology and Allergy; Allergie-Centrum Charité; Charité-Universitätsmedizin Berlin; Berlin Germany
| | - J. W. Fluhr
- Department of Dermatology and Allergy; Allergie-Centrum Charité; Charité-Universitätsmedizin Berlin; Berlin Germany
| | - T. Zuberbier
- Department of Dermatology and Allergy; Allergie-Centrum Charité; Charité-Universitätsmedizin Berlin; Berlin Germany
| | - M. K. Church
- Department of Dermatology and Allergy; Allergie-Centrum Charité; Charité-Universitätsmedizin Berlin; Berlin Germany
| | - M. Maurer
- Department of Dermatology and Allergy; Allergie-Centrum Charité; Charité-Universitätsmedizin Berlin; Berlin Germany
| | - M. Metz
- Department of Dermatology and Allergy; Allergie-Centrum Charité; Charité-Universitätsmedizin Berlin; Berlin Germany
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Metz M, Durski M, Chou J, Crim G, Harris B, Lin WS. Microleakage of Lithium Disilicate Crown Margins Finished on Direct Restorative Materials. Oper Dent 2016; 41:552-562. [PMID: 27689837 DOI: 10.2341/15-225-l] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
OBJECTIVE For some esthetic clinical situations, it is necessary to finish crown margins on direct restorative materials to preserve tissue integrity, bonding integrity, and biological width. The purpose of this research was to investigate microleakage at the interface between bonded lithium disilicate crowns and various direct restorative materials in a class III and class V position. METHODS AND MATERIALS Class III or class V restorations were prepared on one side of extracted incisors with either Tetric EvoCeram, Tetric Evoceram Bulk, Fuji II LC, or Tetric Evoflow. The teeth were prepared for and received a lithium disilicate crown. After load fatiguing, the specimens were thermo-cycled with a fuchsin dye and sectioned. The depth and area of dye penetration were measured with a dimensional grid in micrometers using stereomicroscopy and reported as mean dye depth and area (μm) ± SD. The comparison of multiple categorical independent variables with ratio scale dependent variables was evaluated with an analysis of variance and Tukey's post hoc analysis. RESULTS A statistically significant higher dye penetration was noted for all treatment groups compared with the positive control (side opposite the restoration after sagittal sectioning was used as positive control) regardless of material or placement area (p<0.05). In comparing treatment groups, the Tetric EvoFlow experienced a statistically higher dye penetration than did the other treatment groups regardless of material or placement area (p<0.05). There was no statistically significant difference between the Tetric EvoCeram, Tetric Evoceram Bulk, and Fuji II LC materials regardless of placement area (p>0.05). CONCLUSIONS Within the limitations of this study, it can be concluded that flowable composite materials as finish lines that interact with resin cements could lead to exacerbated interfacial degradation. Finishing lithium disilicate all-ceramic crowns on flowable resin composite materials in the esthetic zone should be used with caution. If necessary, finishing lithium disilicate all-ceramic crowns on nanofilled resin composite or resin-modified glass ionomer materials seems to provide the least dye penetration depth and area.
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Staubach P, Metz M, Chapman-Rothe N, Sieder C, Bräutigam M, Canvin J, Maurer M. Effect of omalizumab on angioedema in H1 -antihistamine-resistant chronic spontaneous urticaria patients: results from X-ACT, a randomized controlled trial. Allergy 2016; 71:1135-44. [PMID: 27010957 DOI: 10.1111/all.12870] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/26/2016] [Indexed: 12/01/2022]
Abstract
BACKGROUND Chronic spontaneous urticaria (CSU) severely impacts quality of life (QoL), especially in patients with wheals and angioedema. Omalizumab is approved as add-on therapy for CSU patients; however, its effect on patients who are double-positive for wheals and angioedema has not been systematically studied. OBJECTIVE The primary objective was to evaluate the efficacy of omalizumab vs placebo at week 28 using the Chronic Urticaria Quality of Life (CU-Q2oL) questionnaire. Number of angioedema-burdened days, time interval between successive angioedema episodes, disease activity, angioedema-specific and overall QoL impairment were secondary objectives. METHODS X-ACT was a phase III, randomized, double-blind study conducted in 24 centres (Germany), which selectively included CSU patients with angioedema and wheals. Patients were randomized (1 : 1) to omalizumab 300 mg or placebo (every 4 weeks up to week 24) (ClinicalTrials.gov number: NCT01723072). RESULTS Of the 91 patients randomized to omalizumab (n = 44) or placebo (n = 47) at baseline, 68 completed the 28-week treatment phase (omalizumab, 35; placebo, 33). Omalizumab was superior to placebo in improving CU-Q2oL scores at week 28 (P < 0.001). There was a threefold improvement in angioedema-burdened days/week with omalizumab (0.3) vs placebo (1.1). The median time to first recurrence of angioedema was 57-63 days with omalizumab and <5 days with placebo. Omalizumab significantly improved angioedema-specific QoL (P < 0.001). The adverse events reported are in line with the established safety profile of omalizumab. CONCLUSION Omalizumab was an effective treatment option for patients with moderate-to-severe CSU symptoms and angioedema unresponsive to high doses of antihistamine treatment.
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Affiliation(s)
- P. Staubach
- Hautklinik und Poliklinik; Universitätsmedizin der Johannes Gutenberg-Universität Mainz; Mainz Germany
| | - M. Metz
- Allergie-Centrum-Charité; Klinik für Dermatologie, Venerologie und Allergologie; Charité - Universitätsmedizin Berlin; Berlin Germany
| | | | - C. Sieder
- Novartis Pharma GmbH; Nürnberg Germany
| | | | - J. Canvin
- Novartis Pharma AG; Basel Switzerland
| | - M. Maurer
- Allergie-Centrum-Charité; Klinik für Dermatologie, Venerologie und Allergologie; Charité - Universitätsmedizin Berlin; Berlin Germany
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Maurer M, Metz M, Bindslev-Jensen C, Bousquet J, Canonica GW, Church MK, Godse KV, Grattan CE, Hide M, Kocatürk E, Magerl M, Makris M, Meshkova R, Saini SS, Sussman G, Toubi E, Zhao Z, Zuberbier T, Gimenez-Arnau A. Definition, aims, and implementation of GA(2) LEN Urticaria Centers of Reference and Excellence. Allergy 2016; 71:1210-8. [PMID: 27038243 DOI: 10.1111/all.12901] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/26/2016] [Indexed: 11/29/2022]
Abstract
BACKGROUND GA²LEN, the Global Allergy and Asthma European Network, has recently launched a program for the development, interaction, and accreditation of centers of reference and excellence in special areas of allergy embedded in its overall quality management of allergy centers of excellence. The first area chosen is urticaria. Urticaria is a common and debilitating condition and can be a challenge for both patients and treating physicians, especially when chronic. Centers of reference and excellence in urticaria (UCAREs) can help to improve the management of hard-to-treat conditions such as urticaria. AIMS Here, we describe the aims, the requirements and deliverables, the application process, and the audit and accreditation protocol for GA²LEN UCAREs. RESULTS The main aims of GA²LEN UCAREs are to provide excellence in urticaria management, to increase the knowledge of urticaria by research and education, and to promote the awareness of urticaria by advocacy activities. To become a certified GA²LEN UCARE, urticaria centers have to apply and fulfill 32 requirements, defined by specific deliverables that are assessed during an audit visit. DISCUSSION AND CONCLUSION The GA²LEN UCARE program will result in a strong network of urticaria specialists, promote urticaria research, and harmonize and improve urticaria management globally.
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Affiliation(s)
- M. Maurer
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - M. Metz
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - C. Bindslev-Jensen
- Department of Dermatology and Allergy Center; Odense Research Center for Anaphylaxis; Odense University Hospital; Odense Denmark
| | - J. Bousquet
- University Hospital; Montpellier France
- VIMA: Ageing and Chronic Diseases, Epidemiological and Public Health Approaches; INSERM; Paris France
- UVSQ; UMR-S 1168; Université Versailles St-Quentin-en-Yvelines; St-Quentin-en-Yvelines France
| | - G. W. Canonica
- IRCCS AOU San Martino-IST; University of Genoa; Genoa Italy
| | - M. K. Church
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - K. V. Godse
- Department of Dermatology; D.Y. Patil School of Medicine; Nerul Navi Mumbai India
| | | | - M. Hide
- Department of Dermatology; Institute of Biomedical and Health Sciences; Hiroshima University; Hiroshima Japan
| | - E. Kocatürk
- Department of Dermatology; Okmeydani Training and Research Hospital; Istanbul Turkey
| | - M. Magerl
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - M. Makris
- 2nd Department of Dermatology and Venereology; Attikon University Hospital; Athens Greece
| | - R. Meshkova
- Department of Clinical Immunology and Allergy; Smolensk State Medical University; Smolensk Russia
| | - S. S. Saini
- Department of Medicine; Johns Hopkins University; Baltimore MD USA
| | - G. Sussman
- Division Allergy and Immunology; University of Toronto; Toronto ON Canada
| | - E. Toubi
- Allergy and Clinical Immunology; Bnai-Zion Medical Center; The Technion; Haifa Israel
| | - Z. Zhao
- Department of Dermatology and Venereology; Peking University, First Hospital; Beijing China
| | - T. Zuberbier
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - A. Gimenez-Arnau
- Department of Dermatology; Hospital del Mar, IMIM; Universitat Autònoma; Barcelona Spain
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Magerl M, Altrichter S, Borzova E, Giménez-Arnau A, Grattan CEH, Lawlor F, Mathelier-Fusade P, Meshkova RY, Zuberbier T, Metz M, Maurer M. The definition, diagnostic testing, and management of chronic inducible urticarias - The EAACI/GA(2) LEN/EDF/UNEV consensus recommendations 2016 update and revision. Allergy 2016; 71:780-802. [PMID: 26991006 DOI: 10.1111/all.12884] [Citation(s) in RCA: 200] [Impact Index Per Article: 25.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/09/2016] [Indexed: 01/13/2023]
Abstract
These recommendations for the definition, diagnosis and management of chronic inducible urticaria (CIndU) extend, revise and update our previous consensus report on physical urticarias and cholinergic urticaria (Allergy, 2009). The aim of these recommendations is to improve the diagnosis and management of patients with CIndU. Our recommendations acknowledge the latest changes in our understanding of CIndU, and the available therapeutic options, as well as the development of novel diagnostic tools.
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Affiliation(s)
- M. Magerl
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - S. Altrichter
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - E. Borzova
- Department of Clinical Allergology; Russian Medical Academy of Postgraduate Education; Moscow Russia
| | - A. Giménez-Arnau
- Department of Dermatology; Hospital del Mar; Institut Mar d′Investigacions Mèdiques IMIM; Universitat Autònoma Barcelona; Barcelona Spain
| | - C. E. H. Grattan
- Cutaneous Allergy; St John's Institute of Dermatology; St Thomas' Hospital; London UK
| | - F. Lawlor
- Cutaneous Allergy; St John's Institute of Dermatology; St Thomas' Hospital; London UK
| | | | - R. Y. Meshkova
- Klinika Medicinskoy Immunologii I Allergologii; Smolensk Russia
| | - T. Zuberbier
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - M. Metz
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
| | - M. Maurer
- Department of Dermatology and Allergy; Allergie-Centrum-Charité; Charité - Universitätsmedizin Berlin; Berlin Germany
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Krull C, Schoepke N, Ohanyan T, Brachaczek M, Maurer M, Lange-Asschenfeldt B, Metz M. Increased angiogenesis and VEGF expression correlates with disease severity in prurigo patients. J Eur Acad Dermatol Venereol 2015; 30:1357-61. [DOI: 10.1111/jdv.13406] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2015] [Accepted: 07/13/2015] [Indexed: 11/29/2022]
Affiliation(s)
- C. Krull
- Department of Dermatology and Allergy; Charité -Universitätsmedizin Berlin; Berlin Germany
| | - N. Schoepke
- Department of Dermatology and Allergy; Charité -Universitätsmedizin Berlin; Berlin Germany
| | - T. Ohanyan
- Department of Dermatology and Allergy; Charité -Universitätsmedizin Berlin; Berlin Germany
| | - M. Brachaczek
- Department of Dermatology and Allergy; Charité -Universitätsmedizin Berlin; Berlin Germany
| | - M. Maurer
- Department of Dermatology and Allergy; Charité -Universitätsmedizin Berlin; Berlin Germany
| | - B. Lange-Asschenfeldt
- Department of Dermatology and Allergy; Charité -Universitätsmedizin Berlin; Berlin Germany
- Department of Dermatology and Allergy; Klinikum Klagenfurt am Wörthersee; Klagenfurt am Wörthersee Austria
| | - M. Metz
- Department of Dermatology and Allergy; Charité -Universitätsmedizin Berlin; Berlin Germany
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Kirian RA, Awel S, Eckerskorn N, Fleckenstein H, Wiedorn M, Adriano L, Bajt S, Barthelmess M, Bean R, Beyerlein KR, Chavas LMG, Domaracky M, Heymann M, Horke DA, Knoska J, Metz M, Morgan A, Oberthuer D, Roth N, Sato T, Xavier PL, Yefanov O, Rode AV, Küpper J, Chapman HN. Simple convergent-nozzle aerosol injector for single-particle diffractive imaging with X-ray free-electron lasers. Struct Dyn 2015; 2:041717. [PMID: 26798816 PMCID: PMC4711644 DOI: 10.1063/1.4922648] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2015] [Accepted: 05/18/2015] [Indexed: 05/06/2023]
Abstract
A major challenge in high-resolution x-ray free-electron laser-based coherent diffractive imaging is the development of aerosol injectors that can efficiently deliver particles to the peak intensity of the focused X-ray beam. Here, we consider the use of a simple convergent-orifice nozzle for producing tightly focused beams of particles. Through optical imaging we show that 0.5 μm particles can be focused to a full-width at half maximum diameter of 4.2 μm, and we demonstrate the use of such a nozzle for injecting viruses into a micro-focused soft-X-ray FEL beam.
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Affiliation(s)
| | | | - N Eckerskorn
- Laser Physics Centre, Research School of Physics and Engineering, Australian National University , Canberra, Australia
| | - H Fleckenstein
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | | | - L Adriano
- Deutsches Elektronen-Synchrotron DESY , 22607 Hamburg, Germany
| | - S Bajt
- Deutsches Elektronen-Synchrotron DESY , 22607 Hamburg, Germany
| | - M Barthelmess
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | - R Bean
- European XFEL GmbH , 22761 Hamburg, Germany
| | - K R Beyerlein
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | - L M G Chavas
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | | | - M Heymann
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | - D A Horke
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | | | | | - A Morgan
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | - D Oberthuer
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | - N Roth
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | - T Sato
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | | | - O Yefanov
- Center for Free-Electron Laser Science , DESY, 22607 Hamburg, Germany
| | - A V Rode
- Laser Physics Centre, Research School of Physics and Engineering, Australian National University , Canberra, Australia
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Abdel-Azim T, Zandinejad A, Metz M, Morton D. Maxillary and Mandibular Rehabilitation in the Esthetic Zone Using a Digital Impression Technique and CAD/CAM-fabricated Prostheses: A Multidisciplinary Clinical Report. Oper Dent 2015; 40:350-6. [DOI: 10.2341/13-286-t] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
SUMMARY
Interdisciplinary treatment planning is necessary in certain clinical situations to optimize esthetic treatment outcomes. Patients presenting with severe wear of their anterior teeth from iatrogenic influences pose a particularly difficult problem in terms of esthetic treatment planning. Collaboration of practitioners from the disciplines of orthodontics, periodontics, and restorative dentistry is essential for the treatment of patients with complex esthetic dental needs. Careful assessment of clinical situations and corresponding specialty consultations are of utmost importance to achieve more predictable and esthetic treatment outcomes. The purpose of this clinical case is to report to the readership a novel digital fabrication of computer-aided design/computer-aided manufacturing milled acrylic provisional restorations and final lithium disilicate definitive restorations after orthodontic and periodontal therapy with virtual master impressions, casts, and articulation.
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Affiliation(s)
- T Abdel-Azim
- Tamer Abdel-Azim, DDS, University of Louisville School of Dentistry, Oral Health & Rehabilitation, Louisville, KY, USA
| | - A Zandinejad
- Amirali Zandinejad, DDS, MSc, University of Louisville School of Dentistry, Oral Health & Rehabilitation, Louisville, KY, USA
| | - M Metz
- Michael Metz, DMD, MSD, MS, MBA, University of Louisville School of Dentistry, General Dentistry & Oral Medicine, Louisville, KY USA
| | - D Morton
- Dean Morton, BDS, MS, University of Louisville School of Dentistry, Oral Health & Rehabilitation, Louisville, KY, USA
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Gericke J, Ohanyan T, Church M, Maurer M, Metz M. Omalizumab may not inhibit mast cell and basophil activation in vitro. J Eur Acad Dermatol Venereol 2014; 29:1832-6. [DOI: 10.1111/jdv.12693] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2014] [Accepted: 07/16/2014] [Indexed: 02/02/2023]
Affiliation(s)
- J. Gericke
- Department of Dermatology, Venerology and Allergology; Allergie-Centrum-Charité; Charité-Universitätsmedizin; Berlin Germany
| | - T. Ohanyan
- Department of Dermatology, Venerology and Allergology; Allergie-Centrum-Charité; Charité-Universitätsmedizin; Berlin Germany
| | - M.K. Church
- Department of Dermatology, Venerology and Allergology; Allergie-Centrum-Charité; Charité-Universitätsmedizin; Berlin Germany
| | - M. Maurer
- Department of Dermatology, Venerology and Allergology; Allergie-Centrum-Charité; Charité-Universitätsmedizin; Berlin Germany
| | - M. Metz
- Department of Dermatology, Venerology and Allergology; Allergie-Centrum-Charité; Charité-Universitätsmedizin; Berlin Germany
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Metz M, Baessler K. Prävalenz, Inzidenz, Symptomverlauf und Risikofaktoren von Beckenbodenfunktionsstörungen während der Schwangerschaft und postpartal. Geburtshilfe Frauenheilkd 2014. [DOI: 10.1055/s-0034-1388549] [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: 10/24/2022] Open
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