Radiology. Imaging cancer最新文献

筛选
英文 中文
Racial Disparities in Preoperative Breast MRI Use and Surgical Margin Outcomes among Patients with Recently Diagnosed Breast Cancer. 新近确诊乳腺癌患者术前使用乳腺 MRI 和手术切缘结果的种族差异。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-11-01 DOI: 10.1148/rycan.240010
Amber Simmons, Lynn K Han, Jeffrey S Reiner, Victoria L Mango, Varadan Sevilimedu, Katja Pinker, Hong Zhang, Tracy-Ann Moo, Sarah Eskreis-Winkler
{"title":"Racial Disparities in Preoperative Breast MRI Use and Surgical Margin Outcomes among Patients with Recently Diagnosed Breast Cancer.","authors":"Amber Simmons, Lynn K Han, Jeffrey S Reiner, Victoria L Mango, Varadan Sevilimedu, Katja Pinker, Hong Zhang, Tracy-Ann Moo, Sarah Eskreis-Winkler","doi":"10.1148/rycan.240010","DOIUrl":"10.1148/rycan.240010","url":null,"abstract":"<p><p>Purpose To evaluate racial disparities in preoperative breast MRI use and surgical margin outcomes among patients with recently diagnosed breast cancer. Materials and Methods This retrospective study included patients with breast cancer who presented to a single cancer center between 2008 and 2020, underwent breast surgery, and self-identified as White or Black. Patients were divided into MRI or no-MRI cohorts based on preoperative MRI use. MRI use and positive surgical margin rates were determined for all patients and racial subgroups. Data were collected from the electronic medical record and analyzed using the χ<sup>2</sup> test for significance. Results The study included 28 384 female patients (mean age, 56 years ± 13 [SD]) with recently diagnosed breast cancer who self-identified as White (90.36%, <i>n</i> = 25 647) or Black (9.64%, <i>n</i> = 2737). Of the entire cohort, 32.78% (9305 of 28 384) underwent preoperative MRI. Black patients had a lower rate of preoperative MRI use than White patients (29.85% [817 of 2737] vs 33.10% [8488 of 25 647], respectively; <i>P</i> < .001). The MRI cohort had a lower positive margin rate compared with the no-MRI cohort (2.90% [133 of 4592] vs 4.78% [539 of 11 271], respectively; <i>P</i> = .03). In the no-MRI cohort, Black patients had a higher positive margin rate than White patients (6.17% [68 of 1103] vs 4.63% [471 of 10 168], respectively; <i>P</i> = .03). In the MRI cohort, there was no evidence of a difference in positive margin rates between Black and White patients (3.17% [12 of 379] vs 2.87% [121 of 4213], respectively; <i>P</i> = .90). Conclusion Compared with White patients, Black patients with breast cancer were less likely to undergo preoperative MRI and had a higher positive surgical margin rate. <b>Keywords:</b> MR Imaging, Breast Cancer, Breast MRI © RSNA, 2024 See also the commentary by Tran and Miles in this issue.</p>","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 6","pages":"e240010"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11615626/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142606090","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
Multifrequency MR Elastography for Tumor Stiffness Outperforms Conventional Imaging and Clinical Variables in Determining Lymphovascular Space Invasion in Endometrial Cancer. 在确定子宫内膜癌淋巴管间隙侵犯方面,多频磁共振弹性成像的肿瘤硬度优于常规成像和临床变量。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-11-01 DOI: 10.1148/rycan.249022
Mohammad Mirza-Aghazadeh-Attari, Erin N Gomez
{"title":"Multifrequency MR Elastography for Tumor Stiffness Outperforms Conventional Imaging and Clinical Variables in Determining Lymphovascular Space Invasion in Endometrial Cancer.","authors":"Mohammad Mirza-Aghazadeh-Attari, Erin N Gomez","doi":"10.1148/rycan.249022","DOIUrl":"10.1148/rycan.249022","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 6","pages":"e249022"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11615625/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142401092","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
Nonpuerperal Uterine Inversion. 非产褥期子宫内翻
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-11-01 DOI: 10.1148/rycan.240162
Baran Vardar, Alexandra Bercow, Alexander Melamed, Theodore Pierce
{"title":"Nonpuerperal Uterine Inversion.","authors":"Baran Vardar, Alexandra Bercow, Alexander Melamed, Theodore Pierce","doi":"10.1148/rycan.240162","DOIUrl":"10.1148/rycan.240162","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 6","pages":"e240162"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11615624/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142506718","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
Accuracy and Impact of AI Software for Nodule and Cancer Detection at Lung Cancer Screening CT. 人工智能软件对肺癌 CT 筛查结节和癌症检测的准确性和影响。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-11-01 DOI: 10.1148/rycan.249025
Netanja I Harlianto, Pim A de Jong
{"title":"Accuracy and Impact of AI Software for Nodule and Cancer Detection at Lung Cancer Screening CT.","authors":"Netanja I Harlianto, Pim A de Jong","doi":"10.1148/rycan.249025","DOIUrl":"10.1148/rycan.249025","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 6","pages":"e249025"},"PeriodicalIF":5.6,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11615629/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142639663","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
Factors Influencing Probably Benign (BI-RADS 3) Radiologist Assessment at Diagnostic Mammography. 影响诊断性乳房 X 射线照相术中放射医师评估的可能良性(BI-RADS 3)因素。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-09-01 DOI: 10.1148/rycan.249021
Brandon K K Fields, Bonnie N Joe
{"title":"Factors Influencing Probably Benign (BI-RADS 3) Radiologist Assessment at Diagnostic Mammography.","authors":"Brandon K K Fields, Bonnie N Joe","doi":"10.1148/rycan.249021","DOIUrl":"10.1148/rycan.249021","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 5","pages":"e249021"},"PeriodicalIF":5.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11443468/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142352691","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
Interrater Reliability Assessment of the Brain Tumor Reporting and Data System (BT-RADS). 脑肿瘤报告和数据系统(BT-RADS)的内部可靠性评估。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-09-01 DOI: 10.1148/rycan.249016
Netanja I Harlianto
{"title":"Interrater Reliability Assessment of the Brain Tumor Reporting and Data System (BT-RADS).","authors":"Netanja I Harlianto","doi":"10.1148/rycan.249016","DOIUrl":"10.1148/rycan.249016","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 5","pages":"e249016"},"PeriodicalIF":5.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11443471/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142036771","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
Transvenous Tissue Sampling in the Diagnosis of Intravascular Neoplasm. 经静脉组织取样诊断血管内肿瘤。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-09-01 DOI: 10.1148/rycan.240076
Christopher J Neely, Christopher M Huff, Andrew C Gordon, Raghu Kolluri, Kush R Desai
{"title":"Transvenous Tissue Sampling in the Diagnosis of Intravascular Neoplasm.","authors":"Christopher J Neely, Christopher M Huff, Andrew C Gordon, Raghu Kolluri, Kush R Desai","doi":"10.1148/rycan.240076","DOIUrl":"10.1148/rycan.240076","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 5","pages":"e240076"},"PeriodicalIF":5.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11443496/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142036774","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
VASARI Glioma Features: Insights into Their Impact and Performance. VASARI 胶质瘤特征:洞察其影响和表现
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-09-01 DOI: 10.1148/rycan.249018
Michelle L Wegscheid, Jack W Jennings
{"title":"VASARI Glioma Features: Insights into Their Impact and Performance.","authors":"Michelle L Wegscheid, Jack W Jennings","doi":"10.1148/rycan.249018","DOIUrl":"10.1148/rycan.249018","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 5","pages":"e249018"},"PeriodicalIF":5.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11443470/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142293997","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
Artificial Intelligence versus Radiologists: A Comparative Analysis for Detecting Clinically Significant Prostate Cancer. 人工智能与放射医师:检测具有临床意义的前列腺癌的比较分析。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-09-01 DOI: 10.1148/rycan.249020
Radhika Rajeev, Hero K Hussain
{"title":"Artificial Intelligence versus Radiologists: A Comparative Analysis for Detecting Clinically Significant Prostate Cancer.","authors":"Radhika Rajeev, Hero K Hussain","doi":"10.1148/rycan.249020","DOIUrl":"10.1148/rycan.249020","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 5","pages":"e249020"},"PeriodicalIF":5.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11443467/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142293973","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
Screening Contrast-enhanced Mammography: Assessment of Patient Experience. 对比增强乳腺 X 射线摄影筛查:患者体验评估。
IF 5.6
Radiology. Imaging cancer Pub Date : 2024-09-01 DOI: 10.1148/rycan.249017
Sofia Fung-Lee, Bonnie N Joe
{"title":"Screening Contrast-enhanced Mammography: Assessment of Patient Experience.","authors":"Sofia Fung-Lee, Bonnie N Joe","doi":"10.1148/rycan.249017","DOIUrl":"10.1148/rycan.249017","url":null,"abstract":"","PeriodicalId":20786,"journal":{"name":"Radiology. Imaging cancer","volume":"6 5","pages":"e249017"},"PeriodicalIF":5.6,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11443466/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142036773","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
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信