Radiologia Brasileira最新文献

{"title":"Applying the theory of planned behavior and the technology acceptance model to patient adherence to medical innovations in interventional radiology.","authors":"Mateus Picada Correa, Camila Biedler Giordani, Joaquim Mauricio da-Motta-Leal-Filho, Marcos Areas Marques, Jaber Nashat Saleh, George Bedinelli Rossi","doi":"10.1590/0100-3984.2025.0058","DOIUrl":"10.1590/0100-3984.2025.0058","url":null,"abstract":"<p><p>Interventional radiology has advanced significantly in recent decades, enhancing quality of life with treatments that are safer and less invasive. Despite these benefits, public awareness about vascular procedures remains limited, which affects the adoption of these therapeutic interventions by patients and physicians alike. Behavioral science theories, such as the theory of planned behavior (TPB) and the technology acceptance model (TAM), offer a robust framework to address this gap by shaping patient health-seeking behaviors. The TPB examines how attitudes, norms, and perceived control influence behavior, whereas the TAM focuses on technology acceptance based on ease of use and usefulness. Attitudes reflect opinions, subjective norms indicate social pressure, and perceived control relates to confidence in performing the behavior. Applying these models can improve patient acceptance and health care outcomes. Collectively, these models are instrumental frameworks in medical innovation, offering a systematic approach to evaluating and promoting the acceptance of new technologies. As health care continues to evolve, with rapid technological advancements, this narrative review underscores the potential role of these models in facilitating the successful integration of medical innovations, enhancing patient care, and optimizing health care practices.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"59 ","pages":"e20250058"},"PeriodicalIF":0.0,"publicationDate":"2026-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12974416/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147435199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using MRI to guide surgical strategy for perianal fistulas: from conventional acquisition to 3D modeling.","authors":"Priscilla Ornellas Neves, André Araújo de Medeiros Silva","doi":"10.1590/0100-3984.2025.0064-en","DOIUrl":"10.1590/0100-3984.2025.0064-en","url":null,"abstract":"<p><p>Magnetic resonance imaging (MRI) is the gold-standard imaging modality for evaluating perianal fistulas, playing a pivotal role in characterizing fistula anatomy and guiding optimal surgical strategies. Appropriate preoperative MRI assessment can significantly reduce recurrence rates and minimize the risk of complications, such as fecal incontinence. This article reviews the most relevant information that an MRI report should contain to aid effective surgical decision-making for perianal fistulas. These features influence therapeutic choices, including decisions regarding the suitability of techniques like fistulotomy, ligation of the intersphincteric fistula tract (LIFT), video-assisted anal fistula treatment (VAAFT), fistula-tract laser closure (FiLaC), and advancement flaps. The emerging role of three-dimensional (3D) modeling from MRI data is also discussed, highlighting its potential to enhance surgeons' spatial understanding of complex fistulous anatomy, thereby improving surgical planning, reducing operative time, and ultimately improving outcomes. However, the generation of accurate 3D models depends on meticulous image segmentation and interpretation by experienced radiologists. Future research directions, including the integration of 3D models with intraoperative navigation and standardized assessment of inflammatory activity, are also addressed in this review.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"59 ","pages":"e20250064"},"PeriodicalIF":0.0,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12974421/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147435149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The LELEX initiative to enhance cancer imaging communication: development of a consensus-based structured reporting template and lexicon for general oncologic imaging.","authors":"Natally Horvat, Fabio Ynoe Moraes, Lucia Antunes Chagas, Vanessa Freitas Bratti, Adriano Tachibana, Almir Galvão Vieira Bitencourt, Bernardo Peres Salvajoli, Camila Trolez Amancio, Carlos Augusto Dos Anjos, Douglas Jorge Racy, Fernando Morbeck Coelho, Giuseppe D'Ippolito, Graziela Campos Oliveira, Joao V Horvat, Jose de Arimateia Araujo-Filho, Leandro Machado Colli, Luciana Holtz de C Barros, Luis Filipe de Souza Godoy, Luiz Paulo Kowalski, Marcelo Araujo Queiroz, Márcio Valente Yamada Sawamura, Maria Clara Fernandes, Marisa Riscalla Madi, Maria Ignez Braghiroli, Paulo Victor Partezani Helito, Richard Kinh Gian Do, Rodrigo Sampaio Chiarantano, Rodrigo Pamplona Polizio, Rubens Chojniak, Ulysses Ribeiro Junior, Valdair Francisco Muglia, Paulo Marcelo Gehm Hoff, Carlos Alberto Buchpiguel, Giovanni Guido Cerri, Hedvig Hricak, Cesar Higa Nomura","doi":"10.1590/0100-3984.2025.0088-en","DOIUrl":"10.1590/0100-3984.2025.0088-en","url":null,"abstract":"<p><strong>Objective: </strong>The Laudo Estruturado e Léxico em Oncologia (LELEX, Lexicon and Structured Reporting in Oncology) initiative was established to develop a standardized lexicon and structured reporting system applicable across cancer types.</p><p><strong>Methods: </strong>The São Paulo Radiology Society and Brazilian Society of Medical Oncology assembled a 27-member multidisciplinary consensus panel that included radiologists, medical and radiation oncologists, surgeons, and a patient representative. A literature review identified relevant oncologic reporting frameworks to guide the creation of a draft template and lexicon by the LELEX executive committee. Panelists were surveyed to assess current reporting practices and preferences between free-text and structured reports. Consensus (i.e., agreement by more than 80% of panelists) on the final lexicon and reporting system was reached through post-survey panel discussions.</p><p><strong>Results: </strong>Compared with a traditional free-text report, a structured report incorporating the LELEX lexicon received significantly higher ratings for precision and was deemed better for guiding clinical decisions by > 88% of panelists. In post-survey discussions, consensus was achieved for all lexicon components, including diagnostic certainty terms, lesion count descriptors, and longitudinal comparison language. The structured report template was also agreed upon by the panel members.</p><p><strong>Conclusion: </strong>The LELEX initiative established a consensus-driven structured reporting system and lexicon for general oncologic imaging baseline and follow-up assessments.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"59 ","pages":"e20250088"},"PeriodicalIF":0.0,"publicationDate":"2026-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12974414/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147435197","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Laboratory test results and computed tomography findings in health care professionals with COVID-19.","authors":"Danilo Alves de Araujo, Igor Duarte Pinto Paciello, Samuel Herdy Figueira, Victor Teixeira Ramos Lopes, João Pedro Coelho de Oliveira Barros, Lucas Vazquez Barreira Ranzeiro de Bragança, Matheus Rodrigues Miranda, Alair Augusto Sarmet Moreira Damas Dos Santos","doi":"10.1590/0100-3984.2025.0036-en","DOIUrl":"10.1590/0100-3984.2025.0036-en","url":null,"abstract":"<p><strong>Objective: </strong>To assess the intensity, characteristics, and distribution of computed tomography (CT) findings of pulmonary involvement, as well as to evaluate laboratory test results, in health care professionals who were exposed to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).</p><p><strong>Materials and methods: </strong>This was a retrospective, cross-sectional, observational study based on the analysis of laboratory test results and chest CT images of health care workers with confirmed coronavirus disease 2019 (COVID-19). Data for the period from March 2020 to December 2022 were collected from two hospitals in Brazil.</p><p><strong>Results: </strong>We identified 1,091 health care professionals in whom a RT-PCR was positive for SARS-CoV-2. However, only 38 of those individuals underwent chest CT. Of the 38 individuals evaluated, 89.5% were treated at one of the hospitals and 57.9% were male. The mean age was 55.6 years. The most common finding (in 100% of the cases) was ground-glass opacity, followed by septal thickening (in 31.6%) and consolidation (in 23.7%). Pulmonary involvement was multifocal in 76.3% and predominantly subpleural in 71.0%. The extent of the involvement was classified as mild in 24% of the cases, moderate in 47%, and severe in 29%. The most commonly affected lung region (in 60.7% of cases) was the lower lobes, particularly the right posterior basal segmental bronchus (segment B10).</p><p><strong>Conclusion: </strong>For evaluating lung involvement, CT was essential, aiding in postinfection monitoring and in the early management of complications. Among the health care professionals evaluated, moderate involvement predominated.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"58 ","pages":"e20250036"},"PeriodicalIF":0.0,"publicationDate":"2026-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12784455/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145952833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Axillary evaluation in women with elevated body mass index: evidence, challenges, and perspectives.","authors":"Renato Leme de Moura Ribeiro, Erica Elisangela Françolin Federicci","doi":"10.1590/0100-3984.2025.58.e11","DOIUrl":"10.1590/0100-3984.2025.58.e11","url":null,"abstract":"","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"58 ","pages":"e11"},"PeriodicalIF":0.0,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12725052/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145827656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Next steps for transrectal ultrasound-guided prostate biopsy - where microvascular flow imaging plays a role.","authors":"Andrea Cavalanti Gomes, Rodrigo Salvador Vivas Cardoso","doi":"10.1590/0100-3984.2025.58.e10","DOIUrl":"10.1590/0100-3984.2025.58.e10","url":null,"abstract":"","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"58 ","pages":"e10"},"PeriodicalIF":0.0,"publicationDate":"2025-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12728973/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145834659","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Refining the assessment of BI-RADS 4 lesions on breast magnetic resonance imaging.","authors":"Luciana Graziano, Bianca Miranda Lago, Camila Souza Guatelli, Juliana Alves, Mariah Carneiro Wanderley, Vinicius Cardona Felipe, Almir Galvão Vieira Bitencourt","doi":"10.1590/0100-3984.2025.0035-en","DOIUrl":"10.1590/0100-3984.2025.0035-en","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the positive predictive value (PPV) of the imaging characteristics of breast lesions classified as BI-RADS category 4 (risk of malignancy > 2% to < 95%) on magnetic resonance imaging (MRI), in order to create an algorithm to subcategorize such lesions.</p><p><strong>Materials and methods: </strong>This was a retrospective study including 199 breast lesions (131 nodules and 68 non-mass lesions) classified as BI-RADS 4 on MRI. Of the 199 lesions, 93 were excluded, for various reasons: they were lymph nodes; they were not biopsied or were not followed at our center; they were additional findings in patients with an established diagnosis of malignancy who underwent mastectomy without further investigation; or they were identified in examinations that were not recovered from the digital archive. Multivariate analysis was performed to identify the most relevant descriptors to predict malignancy and to build an algorithm to subcategorize lesions into BI-RADS 4A, 4B, and 4C. Four breast radiologists then tested the algorithm in another 95 patients with breast lesions classified as BI-RADS 4 on MRI, 27 (28.4%) of those lesions having previously been classified as malignant.</p><p><strong>Results: </strong>The descriptors statistically associated with malignancy in the multivariate analysis of the nodules were background parenchymal enhancement, margins, and the initial phase of the kinetic curve. An algorithm was developed by using these resources, and the PPV obtained for each category was 4.3% for BI-RADS 4A, 21.4% for BI-RADS 4B, and 78.9% for BI-RADS 4C. In the validation of the algorithm by the four breast radiologists, the PPV of the subcategories was within the BI-RADS malignancy ranges in almost all situations, the exceptions being the 11.1% that one evaluator obtained for category 4A and the 46.4% obtained for category 4C by another evaluator.</p><p><strong>Conclusion: </strong>The objective analysis employing the proposed algorithm proved useful for subdividing BI-RADS 4 mass lesions on MRI and showed better interobserver agreement than did the subjective analysis.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"58 ","pages":"e20250035"},"PeriodicalIF":0.0,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12714150/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pituitary macroadenoma: less common neuroimaging features in a common lesion.","authors":"Fernanda Veloso Pereira, Natália Yaktine Yoshida, Davi Ferreira Soares, Heraldo Mendes Garmes, Denise Engelbrecht Zantut-Wittmann, Fábio Rogério, Mateus Dal Fabbro, Juliana Ávila Duarte, Fabiano Reis","doi":"10.1590/0100-3984.2025.0065","DOIUrl":"10.1590/0100-3984.2025.0065","url":null,"abstract":"<p><p>Pituitary neuroendocrine tumors, previously known as pituitary adenomas, are the most common pituitary gland tumors; when larger than 10 mm in diameter, they are called pituitary macroadenomas. Although most pituitary macroadenomas exhibit characteristic imaging features, some present with uncommon neuroimaging manifestations. Less common imaging manifestations include hemorrhage, areas of necrosis, cystic components, calcifications, bone invasion, and extrasellar location. Knowing how to recognize the atypical neuroimaging patterns of pituitary macroadenomas is also crucial for identifying the potential aggressive behavior of the lesion. In addition to predicting aggressive behavior, recognition of atypical neuroimaging characteristics can help the neurosurgeon determine the most effective surgical approach. The aim of this review was to highlight the less common imaging patterns of pituitary macroadenomas.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"58 ","pages":"e20250065"},"PeriodicalIF":0.0,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12714151/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Real-life diagnostic performance of opportunistic computed tomography screening for osteoporosis in Brazilian adults: a retrospective validation study.","authors":"Fabio Brandão Yoshimura, Írline Cordeiro de Macedo Pontes, Erina Megumi Nagaya Fukamizu, Eduardo Kaiser Ururahy Fonseca, Patricia Yokoo, Akemi Osawa, Adham do Amaral E Castro","doi":"10.1590/0100-3984.2025.0073","DOIUrl":"10.1590/0100-3984.2025.0073","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the diagnostic accuracy of computed tomography (CT) for detecting osteoporosis in Brazilian adults, using dual-energy X-ray absorptiometry (DXA) as the reference standard.</p><p><strong>Materials and methods: </strong>We conducted a retrospective analysis of adults over 50 years of age who underwent CT (chest, abdominal, or lumbar scans) and DXA within a 60-day interval, between January 2012 and December 2022. Vertebral bone attenuation at L1 was quantified in Hounsfield units. Thresholds of > 160 HU and < 100 HU were used in order to classify bone as normal and osteoporotic, respectively. Two musculoskeletal radiologists, working independently, performed subjective classifications. Sensitivity, specificity, predictive values, and interobserver agreement (Cohen's kappa) were calculated. The influence of contrast use and scanner heterogeneity was considered.</p><p><strong>Results: </strong>Ninety-five patients met the inclusion criteria. On the basis of the DXA results, we identified 39 normal cases, 46 cases of osteopenia, and 10 cases of osteoporosis. For detecting normal bone, objective CT measurements demonstrated a sensitivity of 88.6% and a specificity of 95.5%. For detecting osteoporosis, the sensitivity was 75.3% and the specificity was 99.7%. For the subjective classification, the level of interobserver agreement was fair (κappa = 0.384). The study included CT scans from different scanner models, with and without contrast enhancement.</p><p><strong>Conclusion: </strong>Opportunistic CT demonstrated high specificity but only moderate sensitivity for osteoporosis detection. The attenuation thresholds previously validated in populations elsewhere show promise for use in Brazil. However, scanner variability, contrast use, and limited sample size constrain generalizability. Larger, multicenter prospective studies are warranted.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"58 ","pages":"e20250073"},"PeriodicalIF":0.0,"publicationDate":"2025-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12714149/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145805254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"State of the art of PET/MRI for rectal cancer: the added value to conventional imaging.","authors":"Poliana Fonseca Zampieri, Daniel Barros Garcia Hernandes, David Alberto Gutiérrez Albenda, Natally Horvat, Onofrio Antonio Catalano, Carlos Alberto Buchpiguel, Marcelo Araújo Queiroz","doi":"10.1590/0100-3984.2025.0060","DOIUrl":"10.1590/0100-3984.2025.0060","url":null,"abstract":"<p><p>Imaging plays a critical role in the assessment of patients with rectal cancer, and positron emission tomography/magnetic resonance imaging (PET/MRI) has shown superiority in specific clinical scenarios. This review describes the potential contribution of ¹⁸F-fluorodeoxyglucose (¹⁸F-FDG) PET/MRI relative to standard of care imaging-computed tomography (CT), MRI, or PET/CT-in the evaluation of patients with rectal cancer in settings such as primary staging, treatment response assessment, and recurrence detection. We discuss ¹⁸F-FDG PET/MRI protocols and clinical workflow, as well as highlighting the potential clinical superiority of PET/MRI over other imaging modalities.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"58 ","pages":"e20250060"},"PeriodicalIF":0.0,"publicationDate":"2025-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12685294/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145715566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}