Radiologia Brasileira最新文献

{"title":"A importância da ultrassonografia com Doppler na doença inflamatória intestinal em pediatria","authors":"Dolores Bustelo, Tatiana Fazecas","doi":"10.1590/0100-3984.2023.56.5e3","DOIUrl":"https://doi.org/10.1590/0100-3984.2023.56.5e3","url":null,"abstract":"","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The importance of Doppler ultrasound in pediatric inflammatory bowel disease","authors":"Dolores Bustelo, Tatiana Fazecas","doi":"10.1590/0100-3984.2023.56.5e3-en","DOIUrl":"https://doi.org/10.1590/0100-3984.2023.56.5e3-en","url":null,"abstract":"","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"51 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Application of artificial intelligence in predicting malignancy risk in breast masses on ultrasound.","authors":"Mariah Carneiro Wanderley, Cândida Maria Alves Soares, Marina Marcondes Moreira Morais, Rachel Malheiros Cruz, Isadora Ribeiro Monteiro Lima, Rubens Chojniak, Almir Galvão Vieira Bitencourt","doi":"10.1590/0100-3984.2023.0034","DOIUrl":"10.1590/0100-3984.2023.0034","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the results obtained with an artificial intelligence-based software for predicting the risk of malignancy in breast masses from ultrasound images.</p><p><strong>Materials and methods: </strong>This was a retrospective, single-center study evaluating 555 breast masses submitted to percutaneous biopsy at a cancer referral center. Ultrasonographic findings were classified in accordance with the BI-RADS lexicon. The images were analyzed by using Koios DS Breast software and classified as benign, probably benign, low to intermediate suspicion, high suspicion, or probably malignant. The histological classification was considered the reference standard.</p><p><strong>Results: </strong>The mean age of the patients was 51 years, and the mean mass size was 16 mm. The radiologist evaluation had a sensitivity and specificity of 99.1% and 34.0%, respectively, compared with 98.2% and 39.0%, respectively, for the software evaluation. The positive predictive value for malignancy for the BI-RADS categories was similar between the radiologist and software evaluations. Two false-negative results were identified in the radiologist evaluation, the masses in question being classified as suspicious by the software, whereas four false-negative results were identified in the software evaluation, the masses in question being classified as suspicious by the radiologist.</p><p><strong>Conclusion: </strong>In our sample, the performance of artificial intelligence-based software was comparable to that of a radiologist.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"56 5","pages":"229-234"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10775818/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139417945","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":"Artificial intelligence in breast imaging","authors":"Juliana Mariano R. B. Mello","doi":"10.1590/0100-3984.2023.56.5e1-en","DOIUrl":"https://doi.org/10.1590/0100-3984.2023.56.5e1-en","url":null,"abstract":"","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"6 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139346246","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Avanços e desafios da inteligência artificial no diagnóstico da osteoartrite","authors":"Júlio César Nather Júnior","doi":"10.1590/0100-3984.2023.56.5e4","DOIUrl":"https://doi.org/10.1590/0100-3984.2023.56.5e4","url":null,"abstract":"","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"38 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inteligência artificial na imaginologia mamária","authors":"Juliana Mariano R. B. Mello","doi":"10.1590/0100-3984.2023.56.5e1","DOIUrl":"https://doi.org/10.1590/0100-3984.2023.56.5e1","url":null,"abstract":"","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"55 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139345905","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advances and challenges in the use of artificial intelligence for the diagnosis of osteoarthritis","authors":"Júlio César Nather Júnior","doi":"10.1590/0100-3984.2023.56.5e4-en","DOIUrl":"https://doi.org/10.1590/0100-3984.2023.56.5e4-en","url":null,"abstract":"","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139344442","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Maternal, obstetric, and fetal Doppler characteristics in a high-risk population: prediction of adverse perinatal outcomes and of cesarean section due to intrapartum fetal compromise.","authors":"Jonas de Lara Fracalozzi,&nbsp;Marcos Masaru Okido,&nbsp;Gerson Cláudio Crott,&nbsp;Geraldo Duarte,&nbsp;Ricardo de Carvalho Cavalli,&nbsp;Edward Araujo Júnior,&nbsp;Alberto Borges Peixoto,&nbsp;Alessandra Cristina Marcolin","doi":"10.1590/0100-3984.2022.0104","DOIUrl":"10.1590/0100-3984.2022.0104","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the capacity of fetal Doppler, maternal, and obstetric characteristics for the prediction of cesarean section due to intrapartum fetal compromise (IFC), a 5-min Apgar score < 7, and an adverse perinatal outcome (APO), in a high-risk population.</p><p><strong>Materials and methods: </strong>This was a prospective cohort study involving 613 singleton pregnant women, admitted for labor induction or at the beginning of spontaneous labor, who underwent Doppler ultrasound within the last 72 h before delivery. The outcome measures were cesarean section due to IFC, a 5-min Apgar score < 7, and any APO.</p><p><strong>Results: </strong>We found that maternal characteristics were neither associated with nor predictors of an APO. Abnormal umbilical artery (UA) resistance index (RI) and the need for intrauterine resuscitation were found to be significant risk factors for cesarean section due to IFC (<i>p</i> = 0.03 and <i>p</i> < 0.0001, respectively). A UA RI > the 95th percentile and a cerebroplacental ratio (CPR) < 0.98 were also found to be predictors of cesarean section due to IFC. Gestational age and a UA RI > 0.84 were found to be predictors of a 5-min Apgar score < 7 for newborns at < 29 and ≥ 29 weeks, respectively. The UA RI and CPR presented moderate accuracy in predicting an APO, with areas under the ROC curve of 0.76 and 0.72, respectively.</p><p><strong>Conclusion: </strong>A high UA RI appears to be a significant predictor of an APO. The CPR seems to be predictive of cesarean section due to IFC and of an APO in late preterm and term newborns.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"56 4","pages":"179-186"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567096/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41210848","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":"Parafoveal chondral lesion of the femoral head in patients with femoroacetabular impingement.","authors":"Guilherme Pradi Adam,&nbsp;Igor Varela Meyer,&nbsp;Tainá de Arruda E Silva,&nbsp;Mark Wanderley,&nbsp;Eduardo Bristot de Mello,&nbsp;Leonardo Valentim,&nbsp;Israel Silva Maia,&nbsp;Mariela Goulart Adames","doi":"10.1590/0100-3984.2023.0019","DOIUrl":"10.1590/0100-3984.2023.0019","url":null,"abstract":"<p><strong>Objective: </strong>To describe cases of parafoveal chondral lesion of the femoral head in patients with femoroacetabular impingement, correlating the clinical and imaging data.</p><p><strong>Materials and methods: </strong>This was a retrospective descriptive case series of parafoveal chondral lesion of the femoral head in 21 patients who underwent computed tomography and magnetic resonance arthrography scans of the hip, having then received an imaging-based diagnosis of femoroacetabular impingement.</p><p><strong>Results: </strong>Of the 21 patients evaluated, 15 (71%) had cam-type femoroacetabular impingement, whereas five (24%) had mixed-type impingement, and one (5%) had pincer-type impingement. Twelve patients (57%) had a low frequency of physical activity, which was significantly associated with the presence of cam-type impingement (<i>p</i> = 0.015). Although the extent of the lesion correlated significantly with the acetabular coverage angle (<i>p</i> = 0.04), it did not correlate significantly with the alpha angle or femoral head-neck offset value (<i>p</i> = 0.08 and <i>p</i> = 0.06, respectively). We also found no correlation between the extent of the lesion and the other main parameters that define the femoroacetabular impingement types.</p><p><strong>Conclusion: </strong>This was one of the largest case series of parafoveal chondral lesion of the femoral head in patients with imaging findings of femoroacetabular impingement. The extent of such lesions does not appear to correlate with the parameters of femoroacetabular impingement, with the exception of the acetabular coverage angle.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"56 4","pages":"202-206"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567093/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41210860","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":"Recommendations for breast cancer screening in Brazil, from the Brazilian College of Radiology and Diagnostic Imaging, the Brazilian Society of Mastology, and the Brazilian Federation of Gynecology and Obstetrics Associations.","authors":"Linei Augusta Brolini Delle Urban,&nbsp;Luciano Fernandes Chala,&nbsp;Ivie Braga de Paula,&nbsp;Selma di Pace Bauab,&nbsp;Marcela Brisighelli Schaefer,&nbsp;Ana Lúcia Kefalás Oliveira,&nbsp;Carlos Shimizu,&nbsp;Tatiane Mendes Gonçalves de Oliveira,&nbsp;Paula de Camargo Moraes,&nbsp;Beatriz Medicis Maranhão Miranda,&nbsp;Flávia Engel Aduan,&nbsp;Salete de Jesus Fonseca Rego,&nbsp;Ellyete de Oliveira Canella,&nbsp;Henrique Lima Couto,&nbsp;Gustavo Machado Badan,&nbsp;José Luis Esteves Francisco,&nbsp;Thaís Paiva Moraes,&nbsp;Rosangela Requi Jakubiak,&nbsp;João Emílio Peixoto","doi":"10.1590/0100-3984.2023.0064-en","DOIUrl":"10.1590/0100-3984.2023.0064-en","url":null,"abstract":"<p><strong>Objective: </strong>To present an update of the recommendations of the Brazilian College of Radiology and Diagnostic Imaging, the Brazilian Society of Mastology, and the Brazilian Federation of Gynecology and Obstetrics Associations for breast cancer screening in Brazil.</p><p><strong>Materials and methods: </strong>Scientific evidence published between January 2012 and July 2022 was gathered from the following databases: Medline (PubMed); Excerpta Medica (Embase); Cochrane Library; Ebsco; Cumulative Index to Nursing and Allied Health Literature (Cinahl); and Latin-American and Caribbean Health Sciences Literature (Lilacs). Recommendations were based on that evidence and were arrived at by consensus of a joint committee of experts from the three entities.Recommendations: Annual mammographic screening is recommended for women between 40 and 74 years of age. For women at or above the age of 75, screening should be reserved for those with a life expectancy greater than seven years. Women at higher than average risk are considered by category: those with dense breasts; those with a personal history of atypical lobular hyperplasia, classical lobular carcinoma in situ, or atypical ductal hyperplasia; those previously treated for breast cancer; those having undergone thoracic radiotherapy before age 30; and those with a relevant genetic mutation or a strong family history. The benefits of complementary screening are also addressed according to the subcategories above. The use of tomosynthesis, which is an evolved form of mammography, should be considered in screening, whenever accessible and available.</p>","PeriodicalId":20842,"journal":{"name":"Radiologia Brasileira","volume":"56 4","pages":"207-214"},"PeriodicalIF":0.0,"publicationDate":"2023-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10567087/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41210864","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}