JOSE RANIERY FERREIRA JUNIOR
Índice h a partir de 2011
2
Projetos de Pesquisa
Unidades Organizacionais
Instituto do Coração, Hospital das Clínicas, Faculdade de Medicina
4 resultados
Resultados de Busca
Agora exibindo 1 - 4 de 4
- Novel Chest Radiographic Biomarkers for COVID-19 Using Radiomic Features Associated with Diagnostics and Outcomes(2021) FERREIRA JUNIOR, Jose Raniery; CARDENAS, Diego Armando Cardona; MORENO, Ramon Alfredo; REBELO, Marina de Fatima de Sa; KRIEGER, Jose Eduardo; GUTIERREZ, Marco AntonioCOVID-19 is a highly contagious disease that can cause severe pneumonia. Patients with pneumonia undergo chest X-rays (XR) to assess infiltrates that identify the infection. However, the radiographic characteristics of COVID-19 are similar to the other acute respiratory syndromes, hindering the imaging diagnosis. In this work, we proposed identifying quantitative/radiomic biomarkers for COVID-19 to support XR assessment of acute respiratory diseases. This retrospective study used different cohorts of 227 patients diagnosed with pneumonia; 49 of them had COVID-19. Automatically segmented images were characterized by 558 quantitative features, including gray-level histogram and matrices of co-occurrence, run-length, size zone, dependence, and neighboring gray-tone difference. Higher-order features were also calculated after applying square and wavelet transforms. Mann-Whitney U test assessed the diagnostic performance of the features, and the log-rank test assessed the prognostic value to predict Kaplan-Meier curves of overall and deterioration-free survival. Statistical analysis identified 51 independently validated radiomic features associated with COVID-19. Most of them were wavelet-transformed features; the highest performance was the small dependence matrix feature of ""low gray-level emphasis"" (area under the curve of 0.87, sensitivity of 0.85, p<0.001). Six features presented short-term prognostic value to predict overall and deterioration-free survival. The features of histogram ""mean absolute deviation"" and size zone matrix ""non-uniformity"" yielded the highest differences on Kaplan-Meier curves with a hazard ratio of 3.20 (p<0.05). The radiomic markers showed potential as quantitative measures correlated with the etiologic agent of acute infectious diseases and to stratify short-term risk of COVID-19 patients.
- Imagiologia de Precisão para Avaliação Quantitativa de Neoplasias Pulmonares: Estado-da-Arte(2020) JUNIOR, José Raniery FerreiraAbstract Methods of computerized analysis have been developed for decades, despite having limitations, to increase diagnostic accuracy as they can precisely recognize patterns in medical examinations. One alternative that has shown promising results to the community is based on quantitative radiomics assessment. Radiomics is motivated by the premise that it can reveal the underlying phenotypes of diseases captured at a macroscopic level, providing a new representation to lesions, ultimately supporting personalized medicine. In this paper, radiomic tools are explored to support that premise, finally disclosing the advance of computer- based markers and clinical decision support models for precision health care.
- Time-to-event assessment for the discovery of the proper prognostic value of clinical biomarkers optimized for COVID-19(2022) FERREIRA JUNIOR, Jose Raniery
- The Potential Role of Radiogenomics in Precision Medicine for COVID-19(2021) FERREIRA JUNIOR, Jose R.; CARDENAS, Diego A. C.