Instituto de Radiologia - HC/InRad
URI Permanente desta comunidade
O Instituto de Radiologia (inRad) do Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (FMUSP-HC), criado através do decreto nº 39.469, de 04 de novembro de 1994, é voltado à área de imagens diagnósticas e terapias por radiação. Atua nas áreas de pesquisa científica, ensino e atendimento aos pacientes do HC-FMUSP que necessitam de exames de imagem para o diagnóstico e o tratamento de doenças, com o uso, por exemplo, da radioterapia, dispondo de modernos recursos para tal.
O InRad foi a primeira instituição da América Latina a utilizar técnicas de Medicina Nuclear e a primeira da América do Sul a dispor de equipamento de braquiterapia de alta taxa de dose; além de ser o primeiro hospital público do país a ter uma Unidade de Produção e Desenvolvimento de Radiofármacos emissores de pósitrons em Medicina Nuclear (Projeto Ciclotron) para utilização em exames de diagnóstico de pequenos tumores e em projetos de pesquisa na área de imagem molecular.
Site oficial: http://inrad.hc.fm.usp.br/
O InRad foi a primeira instituição da América Latina a utilizar técnicas de Medicina Nuclear e a primeira da América do Sul a dispor de equipamento de braquiterapia de alta taxa de dose; além de ser o primeiro hospital público do país a ter uma Unidade de Produção e Desenvolvimento de Radiofármacos emissores de pósitrons em Medicina Nuclear (Projeto Ciclotron) para utilização em exames de diagnóstico de pequenos tumores e em projetos de pesquisa na área de imagem molecular.
Site oficial: http://inrad.hc.fm.usp.br/
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- Instituto de Radiologia - HC/InRad
- Instituto de Radiologia - HC/InRad
- Instituto de Radiologia - HC/InRad
Submissões Recentes
T1/T2-weighted ratio: A feasible MRI biomarker in multiple sclerosis
(2024) BOAVENTURA, Mateus; SASTRE-GARRIGA, Jaume; RIMKUS, Carolina de Medeiros; ROVIRA, Alex; PARETO, Deborah
T1/T2-weighted ratio is a novel magnetic resonance imaging (MRI) biomarker based on conventional sequences, related to microstructural integrity and with increasing use in multiple sclerosis (MS) research. Different from other advanced MRI techniques, this method has the advantage of being based on routinely acquired MRI sequences, a feature that enables analysis of retrospective cohorts with considerable clinical value. This article provides an overview of this method, describing the previous cross-sectional and longitudinal findings in the main MS clinical phenotypes and in different brain tissues: focal white matter (WM) lesions, normal-appearing white matter (NAWM), cortical gray matter (GM), and deep normal-appearing gray matter (NAGM). We also discuss the clinical associations, possible reasons for conflicting results, correlations with other MRI-based measures, and histopathological associations. We highlight the limitations of the biomarker itself and the methodology of each study. Finally, we update the reader on its potential use as an imaging biomarker in research.
Results of consolidative radiotherapy for relapsed diffuse B-cell lymphoma
(2023) MAURO, Geovanne Pedro; RIBEIRO NETO, Mario; CARVALHO, Heloisa de Andrade
Background: Recurrent diffuse large B-cell lymphoma (DLBCL) is a disease with high mortality. The standard of care involves autologous stem-cell transplantation (ASCT), which is not always feasible. We investigated the impact of radiotherapy as part of the salvage treatment for patients with relapsed disease. Materials and methods: Retrospective study of patients with recurrent DLBCL after chemotherapy and consolidative radiotherapy at a single institution. All patients were included if radiation was part of the first treatment. Results: Of 359 patients assessed between 2010 and 2017, 65 (18.1%) presented a recurrence, but only 62 received further treatment and were included in the study. Mean overall survival was 18.6 months since diagnosis and progression-free survival after first progression (PFS2) was 7.7 months. Patients were divided into two groups according to whether they did (24.8%) or did not (75.8%) receive radiation as part of their salvage treatment. Patients that did not receive R-CHOP (rituximab plus cyclophosphamide, doxorubicin hydrochloride, vincristine, and prednisone) in the first line were treated more with radiation in the second line (p = 0.02). Six patients with in-field relapse were re-irradiated. Only 4 patients received ASCT as part of their treatment for relapsed disease. There was no difference in outcomes. Conclusion: There is a place for radiotherapy in the treatment of relapsed DLBCL, particularly when patients do not receive ASCT. Radiotherapy is well-tolerated. More trials to assess the role of radiotherapy for these patients are needed.
Vanishing Cystic Air Spaces
(2023) FARIAS, Lucas de Padua Gomes de; NOMURA, Cesar Higa; SAWAMURA, Marcio Valente Yamada
Can we predict who will benefit from the deep inspiration breath hold (DIBH) technique for breast cancer irradiation?
(2023) STUART, Silvia Radwanski; POCO, Joao Guilherme; RODRIGUES, Marcus Vinicius S. P.; ABE, Ricardo Y.; CARVALHO, Heloisa A.
Background: The objective was to explore the clinical use of an ""in-house"" prototype developed to monitor respiratory motion to implement the deep inspiration breath hold technique (DIBH), compare dosimetric differences, and assess whether simple anatomic metrics measured on free breathing (FB) computed tomography scan (CT) can help in selecting patients that would benefit the most from the technique. Materials and methods: A prospective study was conducted on patients with left breast cancer with an indication of adjuvant radiotherapy for breast only. Treatment simulation consisted of four series of CTs: the first during FB and three in DIBH to assess the reproducibility and stability of apnea. Contouring was based on the RTOG atlas, and planning was done in both FB and DIBH. Dosimetric and geometric parameters were assessed and compared between FB and DIBH. Results: From June 2020 to December 2021, 30 patients with left breast cancer were recruited. Overall, the DIBH technique presented a mean dose reduction of 24% in the heart and 30% in the left anterior descendent coronary artery (LAD) (p < 0.05). The only geometric parameter correlated to a 30% dose reduction in the mean heart dose and LAD doses was the anterolateral distance from the heart to the chest wall of at least 1.5 cm measured on FB (p < 0.0001). Conclusion: The prototype enabled the use of the DIBH technique with dose reductions in the heart and LAD. The benefit of the DIBH technique can be predicted on FB CT by measuring the distance between the heart and chest wall at the treatment isocenter.
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.