Radiology. Imaging cancer最新文献

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The Era of ChatGPT and Large Language Models: Can We Advance Patient-centered Communications Appropriately and Safely? ChatGPT 和大型语言模型时代:我们能否适当而安全地推进以患者为中心的交流?
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-05-01 DOI: 10.1148/rycan.240038
Wendy Tu, Bonnie N. Joe
{"title":"The Era of ChatGPT and Large Language Models: Can We Advance Patient-centered Communications Appropriately and Safely?","authors":"Wendy Tu, Bonnie N. Joe","doi":"10.1148/rycan.240038","DOIUrl":"10.1148/rycan.240038","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 3","pages":"e240038"},"PeriodicalIF":5.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148828/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140852406","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}
引用次数: 0
Prediction of Major Adverse Cardiovascular Events in Patients with Chest Pain Using Coronary Artery Calcium Score. 利用冠状动脉钙化评分预测胸痛患者的主要不良心血管事件
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-05-01 DOI: 10.1148/rycan.249008
Lauren E Burkard-Mandel
{"title":"Prediction of Major Adverse Cardiovascular Events in Patients with Chest Pain Using Coronary Artery Calcium Score.","authors":"Lauren E Burkard-Mandel","doi":"10.1148/rycan.249008","DOIUrl":"10.1148/rycan.249008","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 3","pages":"e249008"},"PeriodicalIF":5.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148831/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140863773","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}
引用次数: 0
Revisiting the "Puffed Cheek" Technique: Advantages, Fallacies, and Potential Solutions. 重新审视 "鼓腮 "技术:优势、谬误和潜在解决方案。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-05-01 DOI: 10.1148/rycan.230211
Shehbaz Ansari, Surjith Vattoth, Eric R Basappa, Pokhraj Prakashchandra Suthar, Santhosh Gaddikeri, Miral D Jhaveri
{"title":"Revisiting the \"Puffed Cheek\" Technique: Advantages, Fallacies, and Potential Solutions.","authors":"Shehbaz Ansari, Surjith Vattoth, Eric R Basappa, Pokhraj Prakashchandra Suthar, Santhosh Gaddikeri, Miral D Jhaveri","doi":"10.1148/rycan.230211","DOIUrl":"10.1148/rycan.230211","url":null,"abstract":"<p><p>The \"puffed cheek\" technique is routinely performed during CT neck studies in patients with suspected oral cavity cancers. The insufflation of air within the oral vestibule helps in the detection of small buccal mucosal lesions, with better delineation of lesion origin, depth, and extent of spread. The pitfalls associated with this technique are often underrecognized and poorly understood. They can mimic actual lesions, forfeiting the technique's primary purpose. This review provides an overview of the puffed cheek technique and its associated pitfalls. These pitfalls include pneumoparotid, soft palate elevation that resembles a nasopharyngeal mass, various tongue displacements or distortions that obscure tongue lesions or mimic them, sublingual gland herniation, an apparent exacerbation of the airway edema, vocal cord adduction that hinders glottic evaluation, and false indications of osteochondronecrosis in laryngeal cartilage. Most stem from a common underlying mechanism of unintentional Valsalva maneuver engaged in by the patient while trying to perform a puffed cheek, creating a closed air column under positive pressure with resultant surrounding soft-tissue displacement. These pitfalls can thus be avoided by instructing the patient to maintain continuous nasal breathing while puffing out their cheek during image acquisition, preventing the formation of the closed air column. <b>Keywords:</b> CT, Head/Neck © RSNA, 2024.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 3","pages":"e230211"},"PeriodicalIF":5.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148836/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140899379","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}
引用次数: 0
Clarification of Concerns about the Demographic Composition of The Cancer Imaging Archive. 澄清对癌症成像档案人口构成的关切。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-05-01 DOI: 10.1148/rycan.240098
Janet F Eary, Lalitha K Shankar, John Freymann, Justin Kirby
{"title":"Clarification of Concerns about the Demographic Composition of The Cancer Imaging Archive.","authors":"Janet F Eary, Lalitha K Shankar, John Freymann, Justin Kirby","doi":"10.1148/rycan.240098","DOIUrl":"10.1148/rycan.240098","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 3","pages":"e240098"},"PeriodicalIF":5.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148829/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141180116","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}
引用次数: 0
MRI-guided Stereotactic Ablative Radiotherapy versus CT-guided Irreversible Electroporation in Advanced Pancreatic Cancer: Insights from the CROSSFIRE Trial. MRI 引导下的立体定向消融放疗与 CT 引导下的不可逆电穿孔治疗晚期胰腺癌:来自 CROSSFIRE 试验的启示。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-05-01 DOI: 10.1148/rycan.249010
Yuan-Mao Lin
{"title":"MRI-guided Stereotactic Ablative Radiotherapy versus CT-guided Irreversible Electroporation in Advanced Pancreatic Cancer: Insights from the CROSSFIRE Trial.","authors":"Yuan-Mao Lin","doi":"10.1148/rycan.249010","DOIUrl":"10.1148/rycan.249010","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 3","pages":"e249010"},"PeriodicalIF":5.6,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11148833/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141180270","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}
引用次数: 0
It's Complicated: Managing Nonmass Enhancement Found at Breast MRI in Patients with Newly Diagnosed Cancer. 情况复杂:处理新确诊癌症患者在乳腺磁共振成像中发现的非质量增强。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-03-01 DOI: 10.1148/rycan.240003
Mary S Newell
{"title":"It's Complicated: Managing Nonmass Enhancement Found at Breast MRI in Patients with Newly Diagnosed Cancer.","authors":"Mary S Newell","doi":"10.1148/rycan.240003","DOIUrl":"10.1148/rycan.240003","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 2","pages":"e240003"},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988333/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139672532","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}
引用次数: 0
Editor's Recognition Awards. 编辑表彰奖。
IF 4.4
Radiology. Imaging cancer Pub Date : 2024-03-01 DOI: 10.1148/rycan.240056
Gary D Luker
{"title":"Editor's Recognition Awards.","authors":"Gary D Luker","doi":"10.1148/rycan.240056","DOIUrl":"10.1148/rycan.240056","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 2","pages":"e240056"},"PeriodicalIF":4.4,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988340/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140132461","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}
引用次数: 0
Impact of PI-RADS Upgrading Rules on Prostate Cancer Detection and Biopsy Decision-Making. PI-RADS 升级规则对前列腺癌检测和活检决策的影响。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-03-01 DOI: 10.1148/rycan.249006
Yuan-Mao Lin
{"title":"Impact of PI-RADS Upgrading Rules on Prostate Cancer Detection and Biopsy Decision-Making.","authors":"Yuan-Mao Lin","doi":"10.1148/rycan.249006","DOIUrl":"10.1148/rycan.249006","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 2","pages":"e249006"},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988339/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140132464","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}
引用次数: 0
The Prevalence and Radiologic Features of Renal Cancers Associated with FLCN, BAP1, SDH, and MET Germline Mutations. 与 FLCN、BAP1、SDH 和 MET 基因突变相关的肾癌的患病率和放射学特征
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-03-01 DOI: 10.1148/rycan.230063
Charlotte Charbel, Pamela I Causa Andrieu, Mohamed Soliman, Sungmin Woo, Junting Zheng, Marinela Capanu, Ines Nikolovski, Hebert A Vargas, Murad Abusamra, Maria I Carlo
{"title":"The Prevalence and Radiologic Features of Renal Cancers Associated with <i>FLCN, BAP1, SDH</i>, and <i>MET</i> Germline Mutations.","authors":"Charlotte Charbel, Pamela I Causa Andrieu, Mohamed Soliman, Sungmin Woo, Junting Zheng, Marinela Capanu, Ines Nikolovski, Hebert A Vargas, Murad Abusamra, Maria I Carlo","doi":"10.1148/rycan.230063","DOIUrl":"10.1148/rycan.230063","url":null,"abstract":"<p><p>Purpose To investigate the prevalence of <i>FLCN, BAP1, SDH</i>, and <i>MET</i> mutations in an oncologic cohort and determine the prevalence, clinical features, and imaging features of renal cell carcinoma (RCC) associated with these mutations. Secondarily, to determine the prevalence of encountered benign renal lesions. Materials and Methods From 25 220 patients with cancer who prospectively underwent germline analysis with a panel of more than 70 cancer-predisposing genes from 2015 to 2021, patients with <i>FLCN, BAP1, SDH</i>, or <i>MET</i> mutations were retrospectively identified. Clinical records were reviewed for patient age, sex, race/ethnicity, and renal cancer diagnosis. If RCC was present, baseline CT and MRI examinations were independently assessed by two radiologists. Summary statistics were used to summarize continuous and categorical variables by mutation. Results A total of 79 of 25 220 (0.31%) patients had a germline mutation: <i>FLCN</i>, 17 of 25 220 (0.07%); <i>BAP1</i>, 22 of 25 220 (0.09%); <i>SDH</i>, 39 of 25 220 (0.15%); and <i>MET</i>, one of 25 220 (0.004%). Of these 79 patients, 18 (23%) were diagnosed with RCC (<i>FLCN</i>, four of 17 [24%]; <i>BAP1</i>, four of 22 [18%]; <i>SDH</i>, nine of 39 [23%]; <i>MET</i>, one of one [100%]). Most hereditary RCCs demonstrated ill-defined margins, central nonenhancing area (cystic or necrotic), heterogeneous enhancement, and various other CT and MR radiologic features, overlapping with the radiologic appearance of nonhereditary RCCs. The prevalence of other benign solid renal lesions (other than complex cysts) in patients was up to 11%. Conclusion <i>FLCN, BAP1, SDH</i>, and <i>MET</i> mutations were present in less than 1% of this oncologic cohort. Within the study sample size limits, imaging findings for hereditary RCC overlapped with those of nonhereditary RCC, and the prevalence of other associated benign solid renal lesions (other than complex cysts) was up to 11%. <b>Keywords:</b> Familial Renal Cell Carcinoma, Birt-Hogg-Dubé Syndrome, Carcinoma, Renal Cell, Paragangliomas, Urinary, Kidney © RSNA, 2024.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 2","pages":"e230063"},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988346/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140060372","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}
引用次数: 0
Differentiating Benign from Malignant Cystic Renal Masses using CT Texture-based Machine Learning Algorithms. 利用基于 CT 纹理的机器学习算法区分良性和恶性囊性肾肿块
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-03-01 DOI: 10.1148/rycan.249007
Anupama Ramachandran
{"title":"Differentiating Benign from Malignant Cystic Renal Masses using CT Texture-based Machine Learning Algorithms.","authors":"Anupama Ramachandran","doi":"10.1148/rycan.249007","DOIUrl":"10.1148/rycan.249007","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 2","pages":"e249007"},"PeriodicalIF":5.6,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10988326/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140185369","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}
引用次数: 0
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