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JournalISSN: 0100-3984

Radiologia Brasileira 

Colégio Brasileiro de Radiologia e Diagnóstico por Imagem
About: Radiologia Brasileira is an academic journal published by Colégio Brasileiro de Radiologia e Diagnóstico por Imagem. The journal publishes majorly in the area(s): Medicine & Magnetic resonance imaging. It has an ISSN identifier of 0100-3984. It is also open access. Over the lifetime, 2100 publications have been published receiving 12259 citations. The journal is also known as: RB.


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Journal ArticleDOI
TL;DR: The present study is aimed at reviewing the main clinical and imaging findings of histological RCC subtypes, finding clear cell, papillary and chromophobe are the most common histological subtypes of RCC.
Abstract: Renal cell carcinoma (RCC) is the seventh most common histological type of cancer in the Western world and has shown a sustained increase in its prevalence. The histological classification of RCCs is of utmost importance, considering the significant prognostic and therapeutic implications of its histological subtypes. Imaging methods play an outstanding role in the diagnosis, staging and follow-up of RCC. Clear cell, papillary and chromophobe are the most common histological subtypes of RCC, and their preoperative radiological characterization, either followed or not by confirmatory percutaneous biopsy, may be particularly useful in cases of poor surgical condition, metastatic disease, central mass in a solitary kidney, and in patients eligible for molecular targeted therapy. New strategies recently developed for treating renal cancer, such as cryo and radiofrequency ablation, molecularly targeted therapy and active surveillance also require appropriate preoperative characterization of renal masses. Less common histological types, although sharing nonspecific imaging features, may be suspected on the basis of clinical and epidemiological data. The present study is aimed at reviewing the main clinical and imaging findings of histological RCC subtypes.

267 citations

Journal ArticleDOI
TL;DR: The coronary artery calcium score plays an important role in cardiovascular risk stratification, showing a significant association with the medium or long-term occurrence of major cardiovascular events as discussed by the authors, and its use in patients who are symptomatic or have diabetes.
Abstract: The coronary artery calcium score plays an Important role In cardiovascular risk stratification, showing a significant association with the medium- or long-term occurrence of major cardiovascular events. Here, we discuss the following: protocols for the acquisition and quantification of the coronary artery calcium score by multidetector computed tomography; the role of the coronary artery calcium score in coronary risk stratification and its comparison with other clinical scores; its indications, interpretation, and prognosis in asymptomatic patients; and its use in patients who are symptomatic or have diabetes.

108 citations

Journal ArticleDOI
TL;DR: The clinical spectrum of coronavirus infection is quite broad, ranging from a simple cold to severe pneumonia, and individuals with mild symptoms should be followed at the primary health care level and should be advised to selfisolate at home.

100 citations

Journal ArticleDOI
TL;DR: The main aspects of the computational tools currently available for analysis of images and the principles of such analysis are presented, together with the main terms and concepts involved, as well as examining the impact that the development of artificial intelligence has had on radiology and diagnostic imaging.
Abstract: The discipline of radiology and diagnostic imaging has evolved greatly in recent years. We have observed an exponential increase in the number of exams performed, subspecialization of medical fields, and increases in accuracy of the various imaging methods, making it a challenge for the radiologist to "know everything about all exams and regions". In addition, imaging exams are no longer only qualitative and diagnostic, providing now quantitative information on disease severity, as well as identifying biomarkers of prognosis and treatment response. In view of this, computer-aided diagnosis systems have been developed with the objective of complementing diagnostic imaging and helping the therapeutic decision-making process. With the advent of artificial intelligence, "big data", and machine learning, we are moving toward the rapid expansion of the use of these tools in daily life of physicians, making each patient unique, as well as leading radiology toward the concept of multidisciplinary approach and precision medicine. In this article, we will present the main aspects of the computational tools currently available for analysis of images and the principles of such analysis, together with the main terms and concepts involved, as well as examining the impact that the development of artificial intelligence has had on radiology and diagnostic imaging.

77 citations

Journal ArticleDOI
TL;DR: In the present essay, cases with confirmed diagnosis of abdominal tuberculosis were assessed by means of computed tomography and magnetic resonance imaging, demonstrating the involvement of different organs and systems, and presentations which frequently lead radiologists to a diagnostic dilemma.
Abstract: Tuberculosis is a disease whose incidence has increased principally as a consequence of HIV infection and use of immunosuppressive drugs. The abdomen is the most common site of extrapulmonary tuberculosis. It may be confused with several different conditions such as inflammatory bowel disease, cancer and other infectious diseases. Delay in the diagnosis may result in significantly increased morbidity, and therefore an early recognition of the condition is essential for proper treatment. In the present essay, cases with confirmed diagnosis of abdominal tuberculosis were assessed by means of computed tomography and magnetic resonance imaging, demonstrating the involvement of different organs and systems, and presentations which frequently lead radiologists to a diagnostic dilemma. A brief literature review was focused on imaging findings and their respective prevalence.

73 citations

Performance
Metrics
No. of papers from the Journal in previous years
YearPapers
202326
202296
202168
202086
2019119
2018126