GIOVANNI GUIDO CERRI
Projetos de Pesquisa
Unidades Organizacionais
Departamento de Radiologia, Faculdade de Medicina - Docente
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina
LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia, Hospital das Clínicas, Faculdade de Medicina - Líder
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina
LIM/44 - Laboratório de Ressonância Magnética em Neurorradiologia, Hospital das Clínicas, Faculdade de Medicina - Líder
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- ChatGPT and medicine: how AI language models are shaping the future and health related careers(2023) YAN, Michael; CERRI, Giovanni G.; MORAES, Fabio Y.ChatGPT holds transformative potential for medicine across clinical, research and educational domains.
- 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, GeraldoIntroduction 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.
conferenceObject DETECTION OF MACROSCOPIC LIVER MORPHOLOGICAL CHANGES ON COMPUTED TOMOGRAPHY USING A DEEP LEARNING TECHNIQUE.(2022) ROCHA, Bruno; FERREIRA, Lorena Carneiro; VIANNA, Luis Gustavo Rocha; FERREIRA, Luma Gallacio Gomes; CICONELLE, Ana Claudia Claudia Martins; NORONHA, Alex Da Silva; CORTEZ, Joao M.; NOGUEIRA, Lucas Salume Lima; LEITE, Jean Michel Rocha Sampaio; SILVA FILHO, Mauricio Ricardo Moreira Da; LEITE, Claudia Da Costa; FELIX, Marcelo De Maria; NOMURA, Cesar Higar; GUTIERREZ, Marco Antonio; CERRI, Giovanni Guido; CARRILHO, Flair Jose; ONO, Suzane Kioko- Ultrasonography in the Assessment of Tumors of the Cheek: Water Mouth Distension Technique(2023) CHAMMAS, Maria Crisitna; TAKAHASHI, Marcelo Straus; MOYSES, Raquel Ajub; POMPEIA, Celine; TAVARES, Marcos Roberto; CERRI, Giovanni GuidoPurpose To describe a new B-mode ultrasound examination technique to assess cheek tumors. Materials and Methods 30 cheek oral cavity lesions of different histological types (11 benign and 19 malignant) from 23 patients (11 women and 12 men, 7-82 years old, mean age of 49.5 years) were analyzed. Transcutaneous oral B-mode ultrasound (5-12 MHz transducer) was carried out in two stages. Initially it was performed conventionally with an empty mouth. Next, the patient was asked to keep their oral cavity filled with water (like when using a mouthwash) during imaging for the new test examination technique. The anatomical layers of this region and the characteristics of the tumors were evaluated. Lesions were classified as ill defined, partially defined, or defined. Conventional findings were compared to those of the new technique using the Wilcoxon signed-rank test. Ultrasound results were compared to histological findings analyzed by an independent team. Results The conventional empty mouth technique was able to confidently define lesion extension in only 6 of the 30 lesions, while the water-filled mouth technique was able to confidently define lesion extension in 29 of the 30 lesions (p<0.00001). Conclusion We present a novel technique that dramatically improves ultrasound staging of cheek oral cavity tumors. In addition to the increase in ultrasound accuracy, this technique does not require any special equipment or extra cost, is very well tolerated by patients, and thus should be considered in the evaluation of every patient undergoing transcutaneous cheek ultrasound for oral cavity lesion characterization.
- Ultrasonography in the Assessment of Tumors of the Cheek: Water Mouth Distension Technique (Apr, 10.1055/a-1700-1757, 2022)(2023) CHAMMAS, Maria Cristina; TAKAHASHI, Marcelo Straus; MOYSES, Raquel Ajub; POMPEIA, Celine; TAVARES, Marcos Roberto; CERRI, Giovanni Guido
- Brain glucose metabolism and gray matter volume in retired professional soccer players: a cross-sectional [F-18]FDG-PET/MRI study(2023) ARANHA, Mateus Rozalem; COUTINHO, Artur Martins; CARNEIRO, Camila de Godoi; PASTORELLO, Bruno Fraccini; STUDART-NETO, Adalberto; GUARIGLIA, Carla Cristina; TSUNEMI, Miriam Harumi; MOREIRA, Everton Luis Santos; IANOF, Jessica Natuline; ANGHINAH, Renato; NITRINI, Ricardo; CERRI, Giovanni Guido; FORTEA, Juan; BUCHPIGUEL, Carlos Alberto; LEITE, Claudia CostaBackground Professional soccer athletes are exposed to repetitive head impacts and are at risk of developing chronic traumatic encephalopathy. Objective To evaluate regional brain glucose metabolism (rBGM) and gray matter (GM) volume in retired soccer players (RSPs). Methods Male RSPs and age and sex-matched controls prospectively enrolled between 2017 and 2019 underwent neurological and neuropsychological evaluations, brain MRI and [F-18]FDG-PET in a 3.0-Tesla PET/MRI scanner. Visual analysis was performed by a blinded neuroradiologist and a blinded nuclear physician. Regional brain glucose metabolism and GM volume were assessed using SPM8 software. Groups were compared using appropriate statistical tests available at SPM8 and R. Results Nineteen RSPs (median [IQR]: 62 [50-64.5] years old) and 20 controls (60 [48-73] years old) were included. Retired soccer players performed worse on mini-mental state examination, digit span, clock drawing, phonemic and semantic verbal fluency tests, and had reduced rBGM in the left temporal pole (pFDR = 0.008) and the anterior left middle temporal gyrus (pFDR = 0.043). Semantic verbal fluency correlated with rBGM in the right hippocampus, left temporal pole, and posterior left middle temporal gyrus (p <= 0.042). Gray matter volume reduction was observed in similar anatomic regions but was less extensive and did not survive correction for multiple comparisons (pFDR >= 0.085). Individual [18F]FDG-PET visual analysis revealed seven RSPs with overt hypometabolism in the medial and lateral temporal lobes, frontal lobes, and temporoparietal regions. Retired soccer players had a higher prevalence of septum pellucidum abnormalities on MRI. Conclusion Retired soccer players had reduced rBGM and GM volume in the temporal lobes and septum pellucidum abnormalities, findings possibly related to repetitive head impacts.
- Contrast phase recognition in liver computer tomography using deep learning(2022) ROCHA, Bruno Aragao; FERREIRA, Lorena Carneiro; VIANNA, Luis Gustavo Rocha; FERREIRA, Luma Gallacio Gomes; CICONELLE, Ana Claudia Martins; NORONHA, Alex Da Silva; CORTEZ FILHO, Joao Martins; NOGUEIRA, Lucas Salume Lima; LEITE, Jean Michel Rocha Sampaio; SILVA FILHO, Mauricio Ricardo Moreira da; LEITE, Claudia da Costa; FELIX, Marcelo de Maria; GUTIERREZ, Marco Antonio; NOMURA, Cesar Higa; CERRI, Giovanni Guido; CARRILHO, Flair Jose; ONO, Suzane KiokoHepatocellular carcinoma (HCC) has become the 4th leading cause of cancer-related deaths, with high social, economical and health implications. Imaging techniques such as multiphase computed tomography (CT) have been successfully used for diagnosis of liver tumors such as HCC in a feasible and accurate way and its interpretation relies mainly on comparing the appearance of the lesions in the different contrast phases of the exam. Recently, some researchers have been dedicated to the development of tools based on machine learning (ML) algorithms, especially by deep learning techniques, to improve the diagnosis of liver lesions in imaging exams. However, the lack of standardization in the naming of the CT contrast phases in the DICOM metadata is a problem for real-life deployment of machine learning tools. Therefore, it is important to correctly identify the exam phase based only on the image and not on the exam metadata, which is unreliable. Motivated by this problem, we successfully created an annotation platform and implemented a convolutional neural network (CNN) to automatically identify the CT scan phases in the HCFMUSP database in the city of SAo Paulo, Brazil. We improved this algorithm with hyperparameter tuning and evaluated it with cross validation methods. Comparing its predictions with the radiologists annotation, it achieved an accuracy of 94.6%, 98% and 100% in the testing dataset for the slice, volume and exam evaluation, respectively.
- Telemedicine in Brazil: Teleconsultations at the Largest University Hospital in the Country(2023) SCUDELLER, Paula Gobi; PEREIRA, Antonio Jose; CERRI, Giovanni Guido; JATENE, Fabio Biscegli; BEGO, Marco; AMARAL, Talita Freitas; GARCIA, Michelle Louvaes; LAMAS, Celina Almeida; ALVARENGA, Aline Morgan; GUTIERREZ, Marco Antonio; COBELLO JUNIOR, Vilson; CARVALHO, Carlos Roberto Ribeiro de; Teleconsultation HCFMUSP Study GrpThe coronavirus disease (COVID-19) pandemic leveraged telemedicine worldwide mainly due to the need for social distancing, patient safety, and infection prevention. The Hospital das Clinicas da Faculdade de Medicina da Universidade de Sao Paulo (HCFMUSP) was a key reference site in the treatment of COVID-19 severe cases in the country. To continue patient's health care, it became necessary to increase the number of teleconsultations and standardize it institutionally. Herein, we briefly described how the HCFMUSP improved the teleconsultation health care service during the COVID-19 pandemic, highlighting the implementation of important innovations and the throughout standardization process, including patients and professional workflow. We also detailed the methodology used to implement or improve teleconsultation in a medical/multidisciplinary specialty at HCFMUSP. All these efforts made the HCFMUSP reach the goal of converting 15% of all face-to-face consultations into teleconsultations only in 2021. In addition, there were more than 370,000 teleconsultations until the end of 2022. Our experience has shown that having a supporting team, a digital certification process, and the data integration were key factors toward the successful implementation of the teleconsultation services. We believe that progressing toward teleconsultation will improve the population covered by health care services in Brazil, as well as contribute to a reduction of waiting time, and solving costs to health care institutions and patients. We expect this report of our experience in teleconsultation implementation could inspire and guide other health care institutions in the development of telemedicine.
- 28-day prognostic value of coronary artery calcification burden in critically ill patients with COVID-19(2023) FARIAS, Lucas de Padua Gomes de; ASSUNCAO-JR, Antonildes Nascimento; ARAUJO-FILHO, Jose de Arimateia Batista; FONSECA, Eduardo Kaiser Ururahy Nunes; STRABELLI, Daniel Giunchetti; SAWAMURA, Marcio Valente Yamada; CERRI, Giovanni Guido; FERREIRA, Juliana Carvalho; NOMURA, Cesar Higa