RODRIGO CARUSO CHATE
Índice h a partir de 2011
7
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina - Médico
LIM/65, Hospital das Clínicas, Faculdade de Medicina
LIM/65, Hospital das Clínicas, Faculdade de Medicina
9 resultados
Resultados de Busca
Agora exibindo 1 - 9 de 9
- Swyer-James-MacLeod Syndrome: The Hyperlucent Lung(2020) FARIAS, Lucas De Padua Gomes De; FONSECA, Eduardo Kaiser Ururahy Nunes; CHATE, Rodrigo Caruso; SAWAMURA, Marcio Valente Yamada
- Performance of Chest Computed Tomography in Differentiating Coronavirus Disease 2019 From Other Viral Infections Using a Standardized Classification(2021) TELES, Gustavo Borges da Silva; FONSECA, Eduardo Kaiser Ururahy Nunes; YOKOO, Patricia; SILVA, Murilo Marques Almeida; YANATA, Elaine; SHOJI, Hamilton; PASSOS, Rodrigo Bastos Duarte; CHATE, Rodrigo Caruso; SZARF, GilbertoBackground: An expert consensus recently proposed a standardized coronavirus disease 2019 (COVID-19) reporting language for computed tomography (CT) findings of COVID-19 pneumonia. Purpose: The purpose of the study was to evaluate the performance of CT in differentiating COVID-19 from other viral infections using a standardized reporting classification. Methods: A total of 175 consecutive patients were retrospectively identified from a single tertiary-care medical center from March 15 to March 24, 2020, including 87 with positive reverse transcription-polymerase chain reaction (RT-PCR) test for COVID-19 and 88 with negative COVID-19 RT-PCR test, but positive respiratory pathogen panel. Two thoracic radiologists, who were blinded to RT-PCR and respiratory pathogen panel results, reviewed chest CT images independently and classified the imaging findings under 4 categories: ""typical"" appearance, ""indeterminate,"" ""atypical,"" and ""negative"" for pneumonia. The final classification was based on consensus between the readers. Results: Patients with COVID-19 were older than patients with other viral infections (P=0.038). The inter-rater agreement of CT categories between the readers ranged from good to excellent, kappa=0.80 (0.73 to 0.87). Final CT categories were statistically different among COVID-19 and non-COVID-19 groups (P<0.001). CT ""typical"" appearance was more prevalent in the COVID-19 group (64/87, 73.6%) than in the non-COVID-19 group (2/88, 2.3%). When considering CT ""typical"" appearance as a positive test, a sensitivity of 73.6% (95% confidence interval [CI]: 63%-82.4%), specificity of 97.7% (95% CI: 92%-99.7%), positive predictive value of 97% (95% CI: 89.5%-99.6%), and negative predictive value of 78.9% (95% CI: 70%-86.1%) were observed. Conclusion: The standardized chest CT classification demonstrated high specificity and positive predictive value in differentiating COVID-19 from other viral infections when presenting a ""typical"" appearance in a high pretest probability environment. Good to excellent inter-rater agreement was found regarding the CT standardized categories between the readers.
- COVID-19 on resonance magnetic: an incidental but important finding in times of pandemic(2020) GARCIA, Jose Vitor Rassi; FONSECA, Eduardo Kaiser Ururahy Nunes; CHATE, Rodrigo Caruso; STRABELLI, Daniel Giunchetti; FARIAS, Lucas de Padua Gomes de; LOUREIRO, Bruna Melo Coelho; FERREIRA, Lorena Carneiro; SAWAMURA, Marcio Valente Yamada
- Lung Lesion Burden found on Chest CT as a Prognostic Marker in Hospitalized Patients with High Clinical Suspicion of COVID-19 Pneumonia: a Brazil ian experience(2021) FONSECA, Eduardo Kaiser Ururahy Nunes; ASSUNCAO JUNIOR, Antonildes Nascimento; ARAUJO-FILHO, Jose De Arimateia Batista; FERREIRA, Lorena Carneiro; LOUREIRO, Bruna Melo Coelho; STRABELLI, Daniel Giunchetti; FARIAS, Lucas de Padua Gomes de; CHATE, Rodrigo Caruso; CERRI, Giovanni Guido; SAWAMURA, Marcio Valente Yamada; NOMURA, Cesar HigaOBJECTIVE: To investigate the relationship between lung lesion burden (LLB) found on chest computed tomography (CT) and 30-day mortality in hospitalized patients with high clinical suspicion of coronavirus disease 2019 (COVID-19), accounting for tomographic dynamic changes. METHODS: Patients hospitalized with high clinical suspicion of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection in a dedicated and reference hospital for COVID-19, having undergone at least one RTPCR test, regardless of the result, and with one CT compatible with COVID-19, were retrospectively studied. Clinical and laboratory data upon admission were assessed, and LLB found on CT was semi-quantitatively evaluated through visual analysis. The primary outcome was 30-day mortality after admission. Secondary outcomes, including the intensive care unit (ICU) admission, mechanical ventilation used, and length of stay RESULTS: A total of 457 patients with a mean age of 57 +/- 15 years were included. Among these, 58% presented with positive RT-PCR result for COVID-19. The median time from symptom onset to RT-PCR was 8 days [interquartile range 6-11 days]. An initial LLB of X50% using CT was found in 201 patients (44%), which was associated with an increased crude at 30-day mortality (31% vs. 15% in patients with LLB of <50%, p<0.001). An LLB of X50% was also associated with an increase in the ICU admission, the need for mechanical ventilation, and a prolonged LOS after adjusting for baseline covariates and accounting for the CT findings as a time-varying covariate; hence, patients with an LLB of X50% remained at a higher risk at 30-day mortality (adjusted hazard ratio 2.17, 95% confidence interval 1.47-3.18, p<0.001). CONCLUSION: Even after accounting for dynamic CT changes in patients with both clinical and imaging findings consistent with COVID-19, an LLB of X50% might be associated with a higher risk of mortality.
- Evaluation of the RSNA and CORADS classifications for COVID-19 on chest computed tomography in the Brazilian population(2021) FONSECA, Eduardo Kaiser Ururahy Nunes; LOUREIRO, Bruna Melo Coelho; STRABELLI, Daniel Giunchetti; FARIAS, Lucas de Padua Gomes de; GARCIA, Jose Vitor Rassi; GAMA, Victor Arcanjo Almeida; FERREIRA, Lorena Carneiro; CHATE, Rodrigo Caruso; ASSUNCAO JUNIOR, Antonildes Nascimento; SAWAMURA, Marcio Valente Yamada; NOMURA, Cesar HigaOBJECTIVE: To determine the correlation between the two tomographic classifications for coronavirus disease (COVID-19), COVID-19 Reporting and Data System (CORADS) and Radiological Society of North America Expert Consensus Statement on Reporting Chest Computed Tomography (CT) Findings Related to COVID-19 (RSNA), in the Brazilian population and to assess the agreement between reviewers with different experience levels. METHODS: Chest CT images of patients with reverse transcriptase-polymerase chain reaction (RT-PCR)-positive COVID-19 were categorized according to the CORADS and RSNA classifications by radiologists with different levels of experience and who were initially unaware of the RT-PCR results. The inter- and intra-observer concordances for each of the classifications were calculated, as were the concordances between classifications. RESULTS: A total of 100 patients were included in this study. The RSNA classification showed an almost perfect inter-observer agreement between reviewers with similar experience levels, with a kappa coefficient of 0.892 (95% confidence interval [CI], 0.788-0.995). CORADS showed substantial agreement among reviewers with similar experience levels, with a kappa coefficient of 0.642 (95% CI, 0.491-0.793). There was inter-observer variation when comparing less experienced reviewers with more experienced reviewers, with the highest kappa coefficient of 0.396 (95% CI, 0.255-0.588). There was a significant correlation between both classifications, with a Kendall coefficient of 0.899 (p<0.001) and substantial intra-observer agreement for both classifications. CONCLUSION: The RSNA and CORADS classifications showed excellent inter-observer agreement for reviewers with the same level of experience, although the agreement between less experience reviewers and the reviewer with the most experience was only reasonable. Combined analysis of both classifications with the first RT-PCR results did not reveal any false-negative results for detecting COVID-19 in patients.
- Scimitar syndrome: a rare disease(2021) PROVENCI, Bruna; SALES, Roberta Karla Barbosa de; FONSECA, Eduardo Kaiser Ururahy Nunes; CHATE, Rodrigo Caruso
- Macroscopic Fat Embolism after Cosmetic Surgery(2022) FONSECA, Eduardo Kaiser Ururahy Nunes; CHATE, Rodrigo Caruso
- Chest computed tomography in the diagnosis of COVID-19 in patients with false negative RT-PCR(2021) FONSECA, Eduardo Kaiser Ururahy Nunes; FERREIRA, Lorena Carneiro; LOUREIRO, Bruna Melo Coelho; STRABELLI, Daniel Giunchetti; FARIAS, Lucas de Padua Gomes de; QUEIROZ, Gabriel Abrantes de; GARCIA, Jose Vitor Rassi; TEIXEIRA, Renato de Freitas; GAMA, Victor Arcanjo Almeida; CHATE, Rodrigo Caruso; ASSUNCAO JUNIOR, Antonildes Nascimento; SAWAMURA, Marcio Valente Yamada; NOMURA, Cesar HigaObjective: To evaluate the role of chest computed tomography in patients with COVID-19 who presented initial negative result in reverse transcriptase-polymerase chain reaction (RT-PCR). Methods: A single-center, retrospective study that evaluated 39 patients with negative RT-PCR for COVID-19, who underwent chest computed tomography and had a final clinical or serological diagnosis of COVID-19. The visual tomographic classification was evaluated according to the Consensus of the Radiological Society of North America and software developed with artificial intelligence for automatic detection of findings and chance estimation of COVID-19. Results: In the visual tomographic analysis, only one of them (3%) presented computed tomography classified as negative, 69% were classified as typical and 28% as indeterminate. In the evaluation using the software, only four (about 10%) had a probability of COVID-19 <25%. Conclusion: Computed tomography can play an important role in management of suspected cases of COVID-19 with initial negative results in RT-PCR, especially considering those patients outside the ideal window for sample collection for RT-PCR.
- Imaging findings in COVID-19 pneumonia(2020) FARIAS, Lucas de Padua Gomes de; FONSECA, Eduardo Kaiser Ururahy Nunes; STRABELLI, Daniel Giunchetti; LOUREIRO, Bruna Melo Coelho; NEVES, Yuri Costa Sarno; RODRIGUES, Thiago Potrich; CHATE, Rodrigo Caruso; NOMURA, Cesar Higa; SAWAMURA, Marcio Valente Yamada; CERRI, Giovanni GuidoThe coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in Wuhan city and was declared a pandemic in March 2020. Although the virus is not restricted to the lung parenchyma, the use of chest imaging in COVID-19 can be especially useful for patients with moderate to severe symptoms or comorbidities. This article aimed to demonstrate the chest imaging findings of COVID-19 on different modalities: chest radiography, computed tomography, and ultrasonography. In addition, it intended to review recommendations on imaging assessment of COVID-19 and to discuss the use of a structured chest computed tomography report. Chest radiography, despite being a low-cost and easily available method, has low sensitivity for screening patients. It can be useful in monitoring hospitalized patients, especially for the evaluation of complications such as pneumothorax and pleural effusion. Chest computed tomography, despite being highly sensitive, has a low specificity, and hence cannot replace the reference diagnostic test (reverse transcription polymerase chain reaction). To facilitate the confection and reduce the variability of radiological reports, some standardizations with structured reports have been proposed. Among the available classifications, it is possible to divide the radiological findings into typical, indeterminate, atypical, and negative findings. The structured report can also contain an estimate of the extent of lung involvement (e.g., more or less than 50% of the lung parenchyma). Pulmonary ultrasonography can also be an auxiliary method, especially for monitoring hospitalized patients in intensive care units, where transfer to a tomography scanner is difficult.