Quantifications of COVID-19 radiological pulmonary structures (Coronavirus infection)

• Grant number: 20/05539-9
• Support Opportunities: Regular Research Grants
• Start date: August 01, 2020
• End date: July 31, 2022
• Field of knowledge: Health Sciences - Medicine - Medical Radiology
• Principal Investigator: Diana Rodrigues de Pina Miranda
• Grantee: Diana Rodrigues de Pina Miranda
• Host Institution: Faculdade de Medicina (FMB). Universidade Estadual Paulista (UNESP). Campus de Botucatu. Botucatu , SP, Brazil

Abstract

In December 2019, a series of cases in China of the so-called COVID2019 were identified, which spread throughout the world, currently reaching more than 2,000,000 cases with 140,000 deaths. Currently, viral nucleic acid analysis based on RT-PCR (real-time Polymerase Chain Reaction) is used as the standard reference method for confirming COVID-19 infection. One of the main consequences is a pulmonary inflammatory process, which leads to a large part of deaths and hospitalizations. In this sense, computed tomography (CT) is the method of choice for these analyzes and has been considered the main imaging method with high sensitivity for detecting the consequences of COVID19 and even considered as a diagnostic method. COVID19 causes several lung damage, mainly inflammatory processes that are manifested with ground-glass radiological findings, among others. The evaluation is subjective and requires trained specialists. Improvements in visualization and quantification of structures and radiological findings are essential for better diagnosis and quantitative determination of the affected pulmonary percentage.In this proposal, using image processing, to generate algorithms to enhance the affected lung characteristics and to quantify these structures in relation to the lung volume. Methods of filtering, segmentation and extraction of objective characteristics in CT images will be used in the initial stages, during and after negative by RT-PCR, aiming at a temporal and spatial characterization, in front of the different pulmonary areas. This type of objective analysis will provide greater support for the diagnostic decisions of radiologists and clinicians, providing data support for the treatment, sequencing of cured patients, and generating technological processes to aid diagnosis and support classificatory data involving pulmonary structures affected by COVID19. (AU)

Scientific publications

(6)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

ALVES, ALLAN FELIPE FATTORI; DE ARRUDA MIRANDA, JOSE RICARDO; DE SOUZA, SERGIO AUGUSTO SANTANA; PEREIRA, RICARDO VIOLANTE; DE ALMEIDA SILVARES, PAULO ROBERTO; YAMASHITA, SEIZO; DEFFUNE, ELENICE; DE PINA, DIANA RODRIGUES. Texture analysis to differentiate anterior cruciate ligament in patients after surgery with platelet-rich plasma. JOURNAL OF ORTHOPAEDIC SURGERY AND RESEARCH, v. 16, n. 1, p. 8-pg., 2021-04-28. (20/05539-9)

FATTORI ALVES, ALLAN FELIPE; ARRUDA MIRANDA, JOSE RICARDO; REIS, FABIANO; OLIVEIRA, ABNER ALVES; SANTANA SOUZA, SERGIO AUGUSTO; CASTELO BRANCO FORTALEZA, CARLOS MAGNO; TANNI, SUZANA ERICO; SOUZA CASTRO, JOSE THIAGO; PINA, DIANA RODRIGUES. Automatic algorithm for quantifying lung involvement in patients with chronic obstructive pulmonary disease, infection with SARS-CoV-2, paracoccidioidomycosis and no lung disease patients. PLoS One, v. 16, n. 6, JUN 10 2021. (20/05539-9)

SANTANA DE SOUZA, SERGIO AUGUSTO; FATTORI ALVES, ALLAN FELIPE; MAMPRIM, MARIA JAQUELINE; PINA, DIANA RODRIGUES. Quality and dose optimization in canine chest radiography using a digital radiography system. Radiation Physics and Chemistry, v. 195, p. 7-pg., 2022-03-20. (20/05539-9)

SANTANA SOUZA, SERGIO AUGUSTO; REIS, LEONARDO OLIVEIRA; FATTORI ALVES, ALLAN FELIPE; SILVA, LETICIA COTINGUIBA; KORNDORFER MEDEIROS, MARIA CLARA; ANDRADE, DANILO LEITE; BILLIS, ATHANASE; AMARO, JOAO LUIZ; MARTINS, DANIEL LAHAN; TRINDADE, ANDRE PETEAN; et al. Multiple analyses suggests texture features can indicate the presence of tumor in the prostate tissue. PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE, v. 45, n. 2, p. 11-pg., 2022-03-24. (20/05539-9)

SILVA, MARCOS AURELIANO ARAUJO; ALVAREZ, MATHEUS; FORTALEZA, CARLOS MAGNO CASTELO BRANCO; DE SOUZA, LENICE DO ROSARIO; DE PINA, DIANA RODRIGUES. CT imaging and lung segmentation analysis of SARS-CoV-2 variants and vaccination impacts on lung impairment quantification. MULTIMEDIA TOOLS AND APPLICATIONS, v. N/A, p. 15-pg., 2024-03-09. (20/05539-9)

SOUZA, S. A. S.; GUASSU, R. A. C.; ALVES, A. F. F.; ALVAREZ, M.; PITANGA, L. C. C.; REIS, F.; VACAVANT, A.; MIRANDA, J. R. A.; FILHO, J. C. S. TRINDADE; PINA, D. R.. Texture analysis: A potential tool to differentiate primary brain tumors and solitary brain metastasis. MULTIMEDIA TOOLS AND APPLICATIONS, v. N/A, p. 13-pg., 2023-10-03. (20/05539-9)