MARCIO VALENTE YAMADA SAWAMURA
Projetos de Pesquisa
Unidades Organizacionais
Instituto de Radiologia, Hospital das Clínicas, Faculdade de Medicina
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- Computed tomography in hypersensitivity pneumonitis: main findings, differential diagnosis and pitfalls(2018) DIAS, Olivia Meira; BALDI, Bruno Guedes; PENNATI, Francesca; ALIVERTI, Andrea; CHATE, Rodrigo Caruso; SAWAMURA, Marcio Valente Yamada; CARVALHO, Carlos Roberto Ribeiro de; ALBUQUERQUE, Andre Luis Pereira deIntroduction: Hypersensitivity pneumonitis (HP) is a disease with variable clinical presentation in which inflammation in the lung parenchyma is caused by the inhalation of specific organic antigens or low molecular weight substances in genetically susceptible individuals. Alterations of the acute, subacute and chronic forms may eventually overlap, and the diagnosis based on temporality and presence of fibrosis (acute/inflammatory HP vs. chronic HP) seems to be more feasible and useful in clinical practice. Differential diagnosis of chronic HP with other interstitial fibrotic diseases is challenging due to the overlap of the clinical history, and the functional and imaging findings of these pathologies in the terminal stages.Areas covered: This article reviews the essential features of HP with emphasis on imaging features. Moreover, the main methodological limitations of high-resolution computed tomography (HRCT) interpretation are discussed, as well as new perspectives with volumetric quantitative CT analysis as a useful tool for retrieving detailed and accurate information from the lung parenchyma.Expert commentary: Mosaic attenuation is a prominent feature of this disease, but air trapping in chronic HP seems overestimated. Quantitative analysis has the potential to estimate the involvement of the pulmonary parenchyma more accurately and could correlate better with pulmonary function results.
- Texture-based classification of lung disease patterns in chronic hypersensitivity pneumonitis and comparison to clinical outcomes(2021) PENNATI, F.; ALIBONI, L.; ANTONIAZZA, A.; BERETTA, D.; DIAS, O.; BALDI, B. G.; SAWAMURA, M.; CHATE, R. C.; CARVALHO, C. R. R. De; ALBUQUERQUE, A.; ALIVERTI, A.Computer-aided detection algorithms applied to CT lung imaging have the potential to objectively quantify pulmonary pathology. We aim to develop an automatic classification method based on textural features able to classify healthy and pathological patterns on CT lung images and to quantify the extent of each disease pattern in a group of patients with chronic hypersensitivity pneumonitis (cHP), in comparison to pulmonary function tests (PFTs). 27 cHP patients were scanned via high resolution CT (HRCT) at full-inspiration. Regions of interest (ROIs) were extracted and labeled as normal (NOR), ground glass opacity (GGO), reticulation (RET), consolidation (C), honeycombing (HB) and air trapping (AT). For each ROI, statistical, morphological and fractal parameters were computed. For automatic classification, we compared two classification methods (Bayesian and Support Vector Machine) and three ROI sizes. The classifier was therefore applied to the overall CT images and the extent of each class was calculated and compared to PFTs. Better classification accuracy was found for the Bayesian classifier and the 16x16 ROI size: 92.1 +/- 2.7%. The extent of GGO, HB and NOR significantly correlated with forced vital capacity (FVC) and the extent of NOR with carbon monoxide diffusing capacity (DLCO).
conferenceObject High Prevalence of Possible Usual Interstitial Pneumonia Pattern in Chronic Hypersensitivity Pneumonitis at a Brazilian Reference Center(2018) AMARAL, A. F.; SCHUBSKY, J. V.; ARIMURA, F. E.; SAWAMURA, M. V.; BALDI, B. G.; CARVALHO, C. R.- Morphologic Aspects of Interstitial Pneumonia With Autoimmune Features(2018) NASCIMENTO, Ellen Caroline Toledo do; BALDI, Bruno Guedes; SAWAMURA, Marcio Valente Yamada; DOLHNIKOFF, MarisaContext.-Interstitial lung disease, a common complication observed in several connective tissue diseases, causes significant morbidity and mortality. Similar to individuals with connective tissue diseases, a significant subgroup of patients with clinical and serologic characteristics suggestive of autoimmunity but without confirmed specific connective tissue disease presents with associated interstitial lung disease. These patients have been classified using different controversial nomenclatures, such as undifferentiated connective tissue disease-associated interstitial lung disease, lung-dominant connective tissue disease, and autoimmune featured interstitial lung disease. The need for a better understanding and standardization of this entity, interstitial lung disease with autoimmune features, and the need for an adequate management protocol for patients resulted in the introduction of a new terminology in 2015: interstitial pneumonia with autoimmune features. This new classification requires a better comprehension of its diagnostic impact and the influence of its morphologic aspects on the prognosis of patients. Objective.-To review the diagnostic criteria for interstitial pneumonia with autoimmune features, with an emphasis on morphologic aspects. Data Sources.-The review is based on the available literature, and on pathologic, radiologic, and clinical experience. Conclusions.-The interstitial pneumonia with autoimmune features classification seems to identify a distinct subgroup of patients with different prognoses. Studies show that nonspecific interstitial pneumonia and usual interstitial pneumonia are the most prevalent morphologic patterns and show discrepant results on the impact of the usual interstitial pneumonia pattern on survival. Prospective investigations are necessary to better define this subgroup and to determine the prognosis and appropriate clinical management of these patients.
- Tomographic pleuropulmonary manifestations in rheumatoid arthritis: a pictorial essay(2023) BRIDI, Guilherme das Posses; SAWAMURA, Marcio Valente Yamada; WANDERLEY, Mark; SOUZA, Luciana Volpon Soares; KAIRALLA, Ronaldo Adib; KAWANO-DOURADO, Leticia; BALDI, Bruno GuedesRheumatoid arthritis ( RA) is an autoimmune inflammatory and heterogeneous disease that affects several systems, especially the joints. Among the extra- articular manifestations of RA, pleuropulmonary involvement occurs frequently, with different presentations, potentially in all anatomic thoracic compartments, and may determine high morbidity and mortality. The most common pleuropulmonary manifestations in patients with RA include interstitial lung disease (ILD), pleural disease, pulmonary arterial hypertension, rheumatoid lung nodules, airway disease (bronchiectasis and bronchiolitis), and lymphadenopathy. Pulmonary hypertension and ILD are the manifestations with the greatest negative impact in prognosis. HRCT of the chest is essential in the evaluation of patients with RA with respiratory symptoms, especially those with higher risk factors for ILD, such as male gender, smoking, older age, high levels of rheumatoid factor, or positive anti-cyclic citrullinated peptide antibody results. Additionally, other etiologies that may determine tomographic pleuropulmonary manifestations in patients with RA are infections, neoplasms, and drug-induced lung disease. In these scenarios, clinical presentation is heterogeneous, varying from being asymptomatic to having progressive respiratory failure. Knowledge on the potential etiologies causing tomographic pleuropulmonary manifestations in patients with RA coupled with proper clinical reasoning is crucial to diagnose and treat these patients.
- A textural approach for quantitative CT in chronic hypersensitivity pneumonitis (cHP)(2019) PENNATI, Francesca; DIAS, Olivia; ANTONIAZZA, Alessio; BERETTA, Davide; ALIBONI, Lorenzo; BALDI, Bruno Guedes; SAWAMURA, Marcio; CHATE, Rodrigo Caruso; CARVALHO, Carlos Roberto Ribeiro De; ALBUQUERQUE, Andre; ALIVERTI, Andrea
- Post-COVID-19 tomographic abnormalities(2022) SAWAMURA, M. V. Y.; VERRASTRO, C. G. Y.; FERREIRA, E. V. M.; ALBUQUERQUE, A. L. P. de; RIBEIRO, S. M.; V, R. Auad; SPERANDIO, P. C. de Abreu; SOUZA, V. C.; LIMA, M. L.; PRUDENTE, R. A.; FRANCO, E. T.; FRANCO, A. C.; BALDI, B. G.; TANNI, S. E.BACKGROUND: The prevalence of persistent respiratory symptoms tends to be low in patients with a longer recovery time after COVID-19. However, some patients may present persistent pulmonary abnormalities. OBJECTIVE: To evaluate the prevalence of tomographic abnormalities 90 days after symptom onset in patients with COVID-19 and compare two chest high-resolution computed tomography (HRCT) analysis techniques. METHODS: A multicentre study of patients hospitalised with COVID-19 having oxygen saturation <93% on room air at hospital admission were evaluated using pulmonary function and HRCT scans 90 days after symptom onset. The images were evaluated by two thoracic radiologists, and were assessed using software that automatically quantified the extent of pulmonary abnormalities. RESULTS: Of the 91 patients included, 81% had at least one pulmonary lobe with abnormalities 90 days after discharge (84% were identified using the automated algorithm). Ground-glass opacities (76%) and parenchymal bands (65%) were the predominant abnormalities. Both chest HRCT technical assessments presented high sensitivity (95.9%) and positive predictive value (92%), with a statistically significant correlation at baseline (R = 0.80) and after 90 days (R = 0.36). CONCLUSION: The prevalence of pulmonary abnormalities on chest HRCT 90 days after symptom onset due to COVID-19 was high; both technical assessments can be used to analyse the images.
- Pulmonary fibrosis secondary to COVID-19: a narrative review(2021) TANNI, Suzana Erico; FABRO, Alexandre Todorovic; ALBUQUERQUE, Andre de; FERREIRA, Eloara Vieira Machado; VERRASTRO, Carlos Gustavo Yuji; SAWAMURA, Marcio Valente Yamada; RIBEIRO, Sergio Marrone; BALDI, Bruno GuedesIntroduction: Coronavirus disease 2019 (COVID-19) is still increasing worldwide, and as a result, the number of patients with pulmonary fibrosis secondary to COVID-19 will expand over time. Risk factors, histopathological characterization, pathophysiology, prevalence, and management of post-COVID-19 pulmonary fibrosis are poorly understood, and few studies have addressed these issues.Areas covered:This article reviews the current evidence regarding post-COVID-19 pulmonary fibrosis, with an emphasis on the potential risk factors, histopathology, pathophysiology, functional and tomographic features, and potential therapeutic modalities. A search on the issue was performed in the MEDLINE, Embase, and SciELO databases and the Cochrane library between 1 December 2019, and 25 January 2021. Studies were reviewed and relevant topics were incorporated into this narrative review. Expert opinion: Pulmonary sequelae may occur secondary to COVID-19, which needs to be included as a potential etiology in the current differential diagnosis of pulmonary fibrosis. Therefore, serial clinical, tomographic, and functional screening for pulmonary fibrosis is recommended after COVID-19, mainly in patients with pulmonary involvement in the acute phase of the disease. Further studies are necessary to determine the risk factors, markers, pathophysiology, and appropriate management of post-COVID-19 pulmonary fibrosis.
- Long-term respiratory follow-up of ICU hospitalized COVID-19 patients: Prospective cohort study(2023) CARVALHO, Carlos Roberto Ribeiro; LAMAS, Celina Almeida; CHATE, Rodrigo Caruso; SALGE, Joao Marcos; SAWAMURA, Marcio Valente Yamada; ALBUQUERQUE, Andre L. P. de; JR, Carlos Toufen; LIMA, Daniel Mario; GARCIA, Michelle Louvaes; SCUDELLER, Paula Gobi; NOMURA, Cesar Higa; GUTIERREZ, Marco Antonio; BALDI, Bruno GuedesBackgroundCoronavirus disease (COVID-19) survivors exhibit multisystemic alterations after hospitalization. Little is known about long-term imaging and pulmonary function of hospitalized patients intensive care unit (ICU) who survive COVID-19. We aimed to investigate long-term consequences of COVID-19 on the respiratory system of patients discharged from hospital ICU and identify risk factors associated with chest computed tomography (CT) lesion severity. MethodsA prospective cohort study of COVID-19 patients admitted to a tertiary hospital ICU in Brazil (March-August/2020), and followed-up six-twelve months after hospital admission. Initial assessment included: modified Medical Research Council dyspnea scale, SpO(2) evaluation, forced vital capacity, and chest X-Ray. Patients with alterations in at least one of these examinations were eligible for CT and pulmonary function tests (PFTs) approximately 16 months after hospital admission. Primary outcome: CT lesion severity (fibrotic-like or non-fibrotic-like). Baseline clinical variables were used to build a machine learning model (ML) to predict the severity of CT lesion. ResultsIn total, 326 patients (72%) were eligible for CT and PFTs. COVID-19 CT lesions were identified in 81.8% of patients, and half of them showed mild restrictive lung impairment and impaired lung diffusion capacity. Patients with COVID-19 CT findings were stratified into two categories of lesion severity: non-fibrotic-like (50.8%-ground-glass opacities/reticulations) and fibrotic-like (49.2%-traction bronchiectasis/architectural distortion). No association between CT feature severity and altered lung diffusion or functional restrictive/obstructive patterns was found. The ML detected that male sex, ICU and invasive mechanic ventilation (IMV) period, tracheostomy and vasoactive drug need during hospitalization were predictors of CT lesion severity(sensitivity,0.78 +/- 0.02;specificity,0.79 +/- 0.01;F1-score,0.78 +/- 0.02;positive predictive rate,0.78 +/- 0.02; accuracy,0.78 +/- 0.02; and area under the curve,0.83 +/- 0.01). ConclusionICU hospitalization due to COVID-19 led to respiratory system alterations six-twelve months after hospital admission. Male sex and critical disease acute phase, characterized by a longer ICU and IMV period, and need for tracheostomy and vasoactive drugs, were risk factors for severe CT lesions six-twelve months after hospital admission.
- Quantitative CT Analysis in Chronic Hypersensitivity Pneumonitis: A Convolutional Neural Network Approach(2022) ALIBONI, Lorenzo; DIAS, Olivia Meira; PENNATI, Francesca; BALDI, Bruno Guedes; SAWAMURA, Marcio Valente Yamada; CHATE, Rodrigo Caruso; CARVALHO, Carlos Roberto Ribeiro; ALBUQUERQUE, Andre Luis Pereira de; ALIVERTI, AndreaRationale and Objectives: Chronic hypersensitivity pneumonitis (cHP) is a heterogeneous condition, where both small airway involvement and fibrosis may simultaneously occur. Computer-aided analysis of CT lung imaging is increasingly used to improve tissue characterization in interstitial lung diseases (ILD), quantifying disease extension, and progression. We aimed to quantify via a convolutional neural network (CNN) method the extent of different pathological classes in cHP, and to determine their correlation to pulmonary function tests (PFTs) and mosaic attenuation pattern. Materials and Methods: The extension of six textural features, including consolidation (C), ground glass opacity (GGO), fibrosis (F), low attenuation areas (LAA), reticulation (R) and healthy regions (H), was quantified in 27 cHP patients (age: 56 +/- 11.5 years, forced vital capacity [FVC]% = 57 +/- 17) acquired at full-inspiration via HRCT. Each class extent was correlated to PFTs and to mosaic attenuation pattern. Results: H showed a positive correlation with FVC%, FEV1% (forced expiratory volume), total lung capacity%, and diffusion of carbon monoxide (DLCO)% (r = 0.74, r = 0.78, r = 0.73, and r = 0.60, respectively, p < 0.001). GGO, R and C negatively correlated with FVC% and FEV1% with the highest correlations found for R (r = -0.44, and r = -0.46 respectively, p < 0.05); F negatively correlated with DLCO% (r = -0.42, p < 0.05). Patients with mosaic attenuation pattern had significantly more H (p = 0.04) and lower R (p = 0.02) and C (p = 0.0009) areas, and more preserved lung function indices (higher FVC%; p = 0.04 and DLCO%; p = 0.05), but did not show more air trapping in lung function tests. Conclusion: CNN quantification of pathological tissue extent in cHP improves its characterization and shows correlation with PFTs. LAA can be overestimated by visual, qualitative CT assessment and mosaic attenuation pattern areas in cHP represents patchy ILD rather than small-airways disease.