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Assessing the Types, Causes, and Levels of Radiologic Technologist Burnout During the COVID-19 Pandemic. 评估 COVID-19 大流行期间放射技师职业倦怠的类型、原因和程度。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Jennifer Kay Bringhurst, Megan Weemer
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引用次数: 0
Role of Radiologic Technologists in Procedural Efficiency of TAVR. 放射技师在 TAVR 手术效率中的作用。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Sara Kamille Evans, Jessica Cooper, Jody Nutt
{"title":"Role of Radiologic Technologists in Procedural Efficiency of TAVR.","authors":"Sara Kamille Evans, Jessica Cooper, Jody Nutt","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548877","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}
引用次数: 0
Enhancing DEI Practices in Health Care With Cultural Intelligence. 用文化智慧加强医疗保健领域的 DEI 实践。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Justin Malecki
{"title":"Enhancing DEI Practices in Health Care With Cultural Intelligence.","authors":"Justin Malecki","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548874","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}
引用次数: 0
Thriving in a Level I Trauma Center. 在一级创伤中心茁壮成长。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Rijal Mohammed, Brandon Kerr, Basil Osabu, Sharon Mohammed
{"title":"Thriving in a Level I Trauma Center.","authors":"Rijal Mohammed, Brandon Kerr, Basil Osabu, Sharon Mohammed","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548879","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}
引用次数: 0
Writing a Case Study. 撰写案例研究。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Sonja Boiteaux
{"title":"Writing a Case Study.","authors":"Sonja Boiteaux","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548880","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}
引用次数: 0
Beyond Cardiac Output for Vessel Opacification in Computed Tomography. 计算机断层扫描中血管不透明的心输出量之外的问题。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Kevin L Wininger
{"title":"Beyond Cardiac Output for Vessel Opacification in Computed Tomography.","authors":"Kevin L Wininger","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548871","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}
引用次数: 0
Deep Learning Reconstruction in Abdominopelvic Contrast-Enhanced CT for The Evaluation of Hemorrhages. 用于评估出血的腹盆腔对比增强 CT 中的深度学习重建。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Akira Katayama, Koichiro Yasaka, Hiroshi Hirakawa, Yuta Ohtake, Osamu Abe

Purpose: To investigate the effects of deep learning reconstruction on depicting arteries and providing suitable images for the evaluation of hemorrhages with abdominopelvic contrast-enhanced computed tomography (CT) compared with hybrid iterative reconstruction.

Methods: This retrospective study included 16 patients (mean age: 54.2 ± 22.1 years; 8 men and 8 women) with acute hemorrhage who underwent contrast-enhanced CT. Unenhanced axial, arterial phase axial, arterial phase coronal, and delayed phase axial images were reconstructed with deep learning reconstruction, hybrid iterative reconstruction, and filtered back projection, which was used as a control in qualitative analyses. Circular and line regions of interest were placed on the aorta and superior mesenteric artery (SMA), respectively, in quantitative analyses. Using a blind process, 2 radiologists independently evaluated image noise, depiction of arteries, and suitability for the evaluation of hemorrhage in qualitative image analyses.

Results: Image noise in deep learning reconstruction was significantly reduced compared with hybrid iterative reconstruction in the quantitative (P < .001) and qualitative analyses (Reader 1, P ≤ .001 for all series; Reader 2, P = .002, .001, and < .001). The slope at the half maximum in deep learning reconstruction (123.8 ± 63.2 HU/mm) significantly improved compared with hybrid iterative reconstruction (105.3 ± 51.0 HU/mm) in the CT attenuation profile of the SMA (P < .001). Qualitative analyses revealed a significantly improved depiction of arteries (Reader 1, P < .001 for all series; Reader 2, P = .037, .008, and < .001) and suitability for evaluating acute hemorrhage in the arterial phase image (Reader 1, P < .001 for both series; Reader 2, P = .041 and .004) with deep learning reconstruction compared with hybrid iterative reconstruction.

Discussion: Deep learning reconstruction provided images with a significantly better depiction of arteries and more suitable quality arterial phase images for the evaluation of abdominopelvic hemorrhage compared with hybrid iterative reconstruction.

Conclusion: Deep learning reconstruction is better for reconstructing abdominopelvic contrast-enhanced CT images when evaluating hemorrhages; however, a prospective study including a large number of patients is needed to strengthen the findings of this study.

目的:与混合迭代重建相比,研究深度学习重建对腹部盆腔对比增强计算机断层扫描(CT)描绘动脉和提供适合评估出血图像的效果:这项回顾性研究纳入了 16 名接受造影剂增强 CT 检查的急性出血患者(平均年龄:54.2 ± 22.1 岁;男性 8 人,女性 8 人)。采用深度学习重建、混合迭代重建和滤波背投影重建未增强轴向、动脉相轴向、动脉相冠状和延迟相轴向图像,并将滤波背投影作为定性分析的对照。在定量分析中,主动脉和肠系膜上动脉(SMA)上分别设置了圆形和线形感兴趣区。在图像定性分析中,由两名放射科医生采用盲法独立评估图像噪音、动脉描绘和出血评估的适用性:在定量分析(P < .001)和定性分析中,深度学习重建的图像噪声比混合迭代重建明显降低(读者 1,所有系列的 P ≤ .001;读者 2,P = .002、.001 和 < .001)。与混合迭代重建(105.3 ± 51.0 HU/mm)相比,深度学习重建的半最大值斜率(123.8 ± 63.2 HU/mm)显著改善了SMA的CT衰减曲线(P < .001)。定性分析显示,与混合迭代重建相比,深度学习重建明显改善了动脉的描绘(读者1,所有系列P < .001;读者2,P = .037、.008和< .001),并适合评估动脉期图像中的急性出血(读者1,两个系列P < .001;读者2,P = .041和.004):讨论:与混合迭代重建相比,深度学习重建提供的图像对动脉的描绘明显更好,动脉相位图像质量更适合用于评估腹盆腔出血:结论:在评估出血时,深度学习重建更适合重建腹盆腔造影剂增强 CT 图像。
{"title":"Deep Learning Reconstruction in Abdominopelvic Contrast-Enhanced CT for The Evaluation of Hemorrhages.","authors":"Akira Katayama, Koichiro Yasaka, Hiroshi Hirakawa, Yuta Ohtake, Osamu Abe","doi":"","DOIUrl":"","url":null,"abstract":"<p><strong>Purpose: </strong>To investigate the effects of deep learning reconstruction on depicting arteries and providing suitable images for the evaluation of hemorrhages with abdominopelvic contrast-enhanced computed tomography (CT) compared with hybrid iterative reconstruction.</p><p><strong>Methods: </strong>This retrospective study included 16 patients (mean age: 54.2 ± 22.1 years; 8 men and 8 women) with acute hemorrhage who underwent contrast-enhanced CT. Unenhanced axial, arterial phase axial, arterial phase coronal, and delayed phase axial images were reconstructed with deep learning reconstruction, hybrid iterative reconstruction, and filtered back projection, which was used as a control in qualitative analyses. Circular and line regions of interest were placed on the aorta and superior mesenteric artery (SMA), respectively, in quantitative analyses. Using a blind process, 2 radiologists independently evaluated image noise, depiction of arteries, and suitability for the evaluation of hemorrhage in qualitative image analyses.</p><p><strong>Results: </strong>Image noise in deep learning reconstruction was significantly reduced compared with hybrid iterative reconstruction in the quantitative (<i>P</i> < .001) and qualitative analyses (Reader 1, <i>P</i> ≤ .001 for all series; Reader 2, <i>P</i> = .002, .001, and < .001). The slope at the half maximum in deep learning reconstruction (123.8 ± 63.2 HU/mm) significantly improved compared with hybrid iterative reconstruction (105.3 ± 51.0 HU/mm) in the CT attenuation profile of the SMA (<i>P</i> < .001). Qualitative analyses revealed a significantly improved depiction of arteries (Reader 1, <i>P</i> < .001 for all series; Reader 2, <i>P</i> = .037, .008, and < .001) and suitability for evaluating acute hemorrhage in the arterial phase image (Reader 1, <i>P</i> < .001 for both series; Reader 2, <i>P</i> = .041 and .004) with deep learning reconstruction compared with hybrid iterative reconstruction.</p><p><strong>Discussion: </strong>Deep learning reconstruction provided images with a significantly better depiction of arteries and more suitable quality arterial phase images for the evaluation of abdominopelvic hemorrhage compared with hybrid iterative reconstruction.</p><p><strong>Conclusion: </strong>Deep learning reconstruction is better for reconstructing abdominopelvic contrast-enhanced CT images when evaluating hemorrhages; however, a prospective study including a large number of patients is needed to strengthen the findings of this study.</p>","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548873","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}
引用次数: 0
Shared Governance Leadership Model in Radiology. 放射科共同治理领导模式。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Shelby Thorp
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引用次数: 0
Benchmarking for Success. 制定成功基准。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Chad Hensley
{"title":"Benchmarking for Success.","authors":"Chad Hensley","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548870","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}
引用次数: 0
Cardiac CT: Assessing Anatomy, Physiology, And Plaque Formation. 心脏 CT:评估解剖、生理和斑块形成。
IF 0.7 Q4 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-01
Kevin L Wininger
{"title":"Cardiac CT: Assessing Anatomy, Physiology, And Plaque Formation.","authors":"Kevin L Wininger","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":51772,"journal":{"name":"Radiologic Technology","volume":null,"pages":null},"PeriodicalIF":0.7,"publicationDate":"2024-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142548872","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}
引用次数: 0
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Radiologic Technology
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