LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia
URI Permanente desta comunidade
O Laboratório de Ressonância Magnética em Neurorradiologia é ligado ao Departamento de Radiologia e Oncologia da Faculdade de Medicina da Universidade de São Paulo (FMUSP).
Linhas de pesquisa: investigação em imagem, com pesquisas focadas em ressonância magnética em neurradiologia com técnicas convencionais e funcionais, ultrassonografia e radiologia convencional.
Site oficial: http://limhc.fm.usp.br/portal/lim44-laboratorio-de-ressonancia-magnetica-em-neurorradiologia/
Linhas de pesquisa: investigação em imagem, com pesquisas focadas em ressonância magnética em neurradiologia com técnicas convencionais e funcionais, ultrassonografia e radiologia convencional.
Site oficial: http://limhc.fm.usp.br/portal/lim44-laboratorio-de-ressonancia-magnetica-em-neurorradiologia/
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Coleções desta Comunidade
- LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia
- LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia
- LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia
Submissões Recentes
Data-driven, cross-disciplinary collaboration: lessons learned at the largest academic health center in Latin America during the COVID-19 pandemic
(2024) RITTO, Ana Paula; ARAUJO, Adriana Ladeira de; CARVALHO, Carlos Roberto Ribeiro de; SOUZA, Heraldo Possolo De; FAVARETTO, Patricia Manga e Silva; SABOYA, Vivian Renata Boldrim; GARCIA, Michelle Louvaes; KULIKOWSKI, Leslie Domenici; KALLAS, Esper Georges; PEREIRA, Antonio Jose Rodrigues; COBELLO JUNIOR, Vilson; SILVA, Katia Regina; ABDALLA, Eidi Raquel Franco; SEGURADO, Aluisio Augusto Cotrim; SABINO, Ester Cerdeira; RIBEIRO JUNIOR, Ulysses; FRANCISCO, Rossana Pulcineli Vieira; MIETHKE-MORAIS, Anna; LEVIN, Anna Sara Shafferman; SAWAMURA, Marcio Valente Yamada; FERREIRA, Juliana Carvalho; SILVA, Clovis Artur; MAUAD, Thais; GOUVEIA, Nelson da Cruz; LETAIF, Leila Suemi Harima; BEGO, Marco Antonio; BATTISTELLA, Linamara Rizzo; DUARTE, Alberto Jose da Silva; SEELAENDER, Marilia Cerqueira Leite; MARCHINI, Julio; FORLENZA, Orestes Vicente; ROCHA, Vanderson Geraldo; MENDES-CORREA, Maria Cassia; COSTA, Silvia Figueiredo; CERRI, Giovanni Guido; BONFA, Eloisa Silva Dutra de Oliveira; CHAMMAS, Roger; BARROS FILHO, Tarcisio Eloy Pessoa de; BUSATTO FILHO, Geraldo
Introduction The COVID-19 pandemic has prompted global research efforts to reduce infection impact, highlighting the potential of cross-disciplinary collaboration to enhance research quality and efficiency.Methods At the FMUSP-HC academic health system, we implemented innovative flow management routines for collecting, organizing and analyzing demographic data, COVID-related data and biological materials from over 4,500 patients with confirmed SARS-CoV-2 infection hospitalized from 2020 to 2022. This strategy was mainly planned in three areas: organizing a database with data from the hospitalizations; setting-up a multidisciplinary taskforce to conduct follow-up assessments after discharge; and organizing a biobank. Additionally, a COVID-19 curated collection was created within the institutional digital library of academic papers to map the research output.Results Over the course of the experience, the possible benefits and challenges of this type of research support approach were identified and discussed, leading to a set of recommended strategies to enhance collaboration within the research institution. Demographic and clinical data from COVID-19 hospitalizations were compiled in a database including adults and a minority of children and adolescents with laboratory confirmed COVID-19, covering 2020-2022, with approximately 350 fields per patient. To date, this database has been used in 16 published studies. Additionally, we assessed 700 adults 6 to 11 months after hospitalization through comprehensive, multidisciplinary in-person evaluations; this database, comprising around 2000 fields per subject, was used in 15 publications. Furthermore, thousands of blood samples collected during the acute phase and follow-up assessments remain stored for future investigations. To date, more than 3,700 aliquots have been used in ongoing research investigating various aspects of COVID-19. Lastly, the mapping of the overall research output revealed that between 2020 and 2022 our academic system produced 1,394 scientific articles on COVID-19.Discussion Research is a crucial component of an effective epidemic response, and the preparation process should include a well-defined plan for organizing and sharing resources. The initiatives described in the present paper were successful in our aim to foster large-scale research in our institution. Although a single model may not be appropriate for all contexts, cross-disciplinary collaboration and open data sharing should make health research systems more efficient to generate the best evidence.
Thermal measurements of a muscle-mimicking phantom during ultra-high field magnetic resonance imaging
(2023) GARCIA, M. M.; OLIVEIRA, T. R.; CHAIM, K. T.; OTADUY, M. C. G.; BRUNS, C.; BERNARDING, J.; SVEJDA, J. T.; ERNI, D.; ZYLKA, W.
At ultra-high field MRI (Bo>7T) it is crucial to predict and control the patient safety. Commonly patient safety is controlled by the power deposited in the tissue (specific absorption rate - SAR). However, temperature distributions do not always correlate directly with SAR distributions, which makes temperature control also a crucial parameter to guarantee patient safety. In this work, temperature changes were accessed by MR thermometry, specifically by the proton resonance frequency shift technique (PRF). A phantom mimicking muscle tissue was used to evaluate the temperature rise caused by the radiofrequency (RF) absorption during 7T MRI, applied through a commercial birdcage head coil. A pulse-sequence protocol was implemented for both, the generation of temperature increase and the MR thermometry. To control the temperature, a digital thermometer was used, and oil tubes were utilized to dismiss the drift effects for PRF. Measurements of the phantom's dielectric characteristics, i.e. conductivity and permittivity, were in good agreement with the literature values for muscle. Spatio-temporal evaluations showed a temperature increase in time via RF exposure and the feasibility of measuring temperature maps using the PRF shift method. The accuracy of the PRF shift method increased when the drift effects were quantified and dismissed, indicating a PRF reading accuracy differing less than 0.5 °C from the thermometer. Results also validate our heating and temperature imaging protocol. This study is a valuable contribution to the evaluation of heating effects caused by RF absorption and demonstrates potential impact on future thermal investigations, which may use different heating sources, as well validate thermal simulations.
Glioneuronal and Neuronal Tumors: Who? When? Where? An Update Based on the 2021 World Health Organization Classification
(2023) AYRES, A. S.; BANDEIRA, G. A.; FERRACIOLLI, S. F.; TAKAHASHI, J. T.; MORENO, R. A.; GODOY, L. F. de Souza; CASAL, Y. R.; LIMA, L. G. C. A. de; FRASSETO, F. P.; LUCATO, L. T.
Neuronal and glioneuronal tumors usually have a benign course and may have typical imaging characteristics, allowing their diagnosis based on MR imaging findings. The most common lesions are dysembryoplastic neuroepithelial tumors and gangliogliomas, which have typical imaging characteristics. The fifth edition of the World Health Organization Classification of Tumors of the Central Nervous System, recently published in 2021, places greater emphasis on molecular markers to classify tumors of the CNS, leading to extensive changes in the classification of tumors, including neuronal and glioneuronal tumors. The 2021 revision included 3 new tumors types: multinodular and vacuolating neuronal tumor, diffuse glioneuronal tumor with oligodendroglioma-like features and nuclear clusters (a provisional type), and myxoid glioneuronal tumor. Following these recent changes in the World Health Organization classification, we aimed to review the main imaging features of these lesions in relation to their histopathologic and molecular features. Learning Objectives: To list the neuronal and glioneuronal tumors; recognize the main imaging findings and histologic characteristics of neuronal and glioneuronal tumors; know the typical location of each neuronal and glioneuronal tumor; and become familiar with the main molecular alterations of neuronal and glioneuronal tumors to better understand their behavior
Discriminating MS from MOGAD using deep learning attention maps
(2023) CORTESE, Rosa; BATTAGLINI, Marco; SFORAZZINI, Francesco; FRANCH, Natalia Cantavella; PRADOS, Ferran; BIANCHI, Alessia; HAIDER, Lukas; JACOB, Anu; PALACE, Jacqueline; MESSINA, Silvia; PAUL, Friedemann; MARIGNIER, Romain; DURAND-DUBIEF, Francoise; RIMKUS, Carolina de Medeiros; CALLEGARO, Dagoberto; SATO, Douglas; FILIPPI, Massimo; ROCCA, Maria Assunta; CACCIAGUERRA, Laura; CANELLAS, Alex Rovira; SASTRE-GARRIGA, Jaume; ARRAMBIDE, Georgina; LIU, Yaou; YUN, Duan; GASPERINI, Claudio; TORTORELLA, Carla; RUGGIERI, Serena; AMATO, Maria Pia; ULIVELLI, Monica; GROPPA, Sergiu; GROTHE, Matthias; LLUFRIU, Sara; SEPULVEDA, Maria; LUKAS, Carsten; BELLENBERG, Barbara; SCHNEIDER, Ruth; SOWA, Piotr; CELIUS, Elisabeth; PROBSTEL, Anne-Katrin; GRANZIERA, Cristina; YALDIZLI, Ozgur; MULLER, Jannis; STANKOFF, Bruno; BODINI, Benedetta; BARKHOF, Frederik; CICCARELLI, Olga; STEFANO, Nicola De
Immune complications from TNF-alfa blockers
(2023) RIMKUS, Carolina de Medeiros
Diaphragmatic mobility assessed by ultrasound is associated with thoracoabdominal asynchrony in severe to very severe COPD patients
(2023) SANTOS, Juliana M. B.; REIS, Estefane C. M.; LINO, Pedro L.; LUNARDI, Adriana C.; SILVA, Cibele C. B. M.; PINTO, Thiago F.; CARVALHO-PINTO, Regina M.; CUKIER, Alberto; CHAMMAS, Maria C.; CARVALHO, Celso R. F.
Noncontrast Transcatheter Aortic Valve Implantation for Patients With Aortic Stenosis and Chronic Kidney Disease: Long-Term Follow-Up of The Pilot Study
(2023) FILIPPINI, Filippe; FREIRE, Antonio Fernando; NICZ, Pedro; BRATZ, Guilherme; SESSA, Bruno; RIBEIRO, Henrique; ACCORSI, Tarso; LIBERATO, Gabriela; NOMURA, Cesar Higa; CASSAR, Renata; VIEIRA, Marcelo; BIHAN, David Le; BARRETTO, Rodrigo; MATHIAS, Wilson; POMERANTZEFF, Pablo; TARASOUTCHI, Flavio; ABIZAID, Alexandre; BRITO JR., Fabio
Association of primary tumor radiomic phenotypes and outcomes in patients (pts) with metastatic renal cell clear cell carcinoma (mRCC) treated with cytoreductive nephrectomy (CN).
(2023) CUNHA, Mateus Trinconi; STANGLER, Lucas; FREIRE, Pedro; PINTO, Paulo Victor Alves; COELHO, Fernando Morbeck Almeida; VIANA, Publio; CORDEIRO, Mauricio; NAHAS, William Carlos; MOTA, Jose Mauricio
Multimodality imaging for investigating constrictive pericarditis
(2023) MORALES, Kevin Rafael De Paula; VAZ, Andre; COUTO, Renata Muller; FONSECA, Eduardo Kaiser Ururahy Nunes
Advances in diffuse glial tumors diagnosis
(2023) GODOY, Luis Filipe de Souza; PAES, Vitor Ribeiro; AYRES, Aline Sgnolf; BANDEIRA, Gabriela Alencar; MORENO, Raquel Andrade; HIRATA, Fabiana de Campos Cordeiro; SILVA, Frederico Adolfo Benevides; NASCIMENTO, Felipe; CAMPOS NETO, Guilherme de Carvalho; GENTIL, Andre Felix; LUCATO, Leandro Tavares; AMARO JUNIOR, Edson; YOUNG, Robert J.; MALHEIROS, Suzana Maria Fleury
In recent decades, there have been significant advances in the diagnosis of diffuse gliomas, driven by the integration of novel technologies. These advancements have deepened our understanding of tumor oncogenesis, enabling a more refined stratification of the biological behavior of these neoplasms. This progress culminated in the fifth edition of the WHO classification of central nervous system (CNS) tumors in 2021. This comprehensive review article aims to elucidate these advances within a multidisciplinary framework, contextualized within the backdrop of the new classification. This article will explore morphologic pathology and molecular/genetics techniques (immunohistochemistry, genetic sequencing, and methylation profiling), which are pivotal in diagnosis, besides the correlation of structural neuroimaging radiophenotypes to pathology and genetics. It briefly reviews the usefulness of tractography and functional neuroimaging in surgical planning. Additionally, the article addresses the value of other functional imaging techniques such as perfusion MRI, spectroscopy, and nuclear medicine in distinguishing tumor progression from treatment-related changes. Furthermore, it discusses the advantages of evolving diagnostic techniques in classifying these tumors, as well as their limitations in terms of availability and utilization. Moreover, the expanding domains of data processing, artificial intelligence, radiomics, and radiogenomics hold great promise and may soon exert a substantial influence on glioma diagnosis. These innovative technologies have the potential to revolutionize our approach to these tumors. Ultimately, this review underscores the fundamental importance of multidisciplinary collaboration in employing recent diagnostic advancements, thereby hoping to translate them into improved quality of life and extended survival for glioma patients.