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Using Convolutional Neural Networks for the Classification of Suboptimal Chest Radiographs. 使用卷积神经网络对次优胸片进行分类。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-07-18 DOI: 10.1002/jmrs.70006
Emily Huanke Liu, Daniel Carrion, Mohamed Khaldoun Badawy

Introduction: Chest X-rays (CXR) rank among the most conducted X-ray examinations. They often require repeat imaging due to inadequate quality, leading to increased radiation exposure and delays in patient care and diagnosis. This research assesses the efficacy of DenseNet121 and YOLOv8 neural networks in detecting suboptimal CXRs, which may minimise delays and enhance patient outcomes.

Method: The study included 3587 patients with a median age of 67 (0-102). It utilised an initial dataset comprising 10,000 CXRs randomly divided into a training subset (4000 optimal and 4000 suboptimal) and a validation subset (400 optimal and 400 suboptimal). The test subset (25 optimal and 25 suboptimal) was curated from the remaining images to provide adequate variation. Neural networks DenseNet121 and YOLOv8 were chosen due to their capabilities in image classification. DenseNet121 is a robust, well-tested model in the medical industry with high accuracy in object recognition. YOLOv8 is a cutting-edge commercial model targeted at all industries. Their performance was assessed via the area under the receiver operating curve (AUROC) and compared to radiologist classification, utilising the chi-squared test.

Results: DenseNet121 attained an AUROC of 0.97, while YOLOv8 recorded a score of 0.95, indicating a strong capability in differentiating between optimal and suboptimal CXRs. The alignment between radiologists and models exhibited variability, partly due to the lack of clinical indications. However, the performance was not statistically significant.

Conclusion: Both AI models effectively classified chest X-ray quality, demonstrating the potential for providing radiographers with feedback to improve image quality. Notably, this was the first study to include both PA and lateral CXRs as well as paediatric cases and the first to evaluate YOLOv8 for this application.

简介:胸片(CXR)是最常用的x线检查之一。由于质量不足,它们通常需要重复成像,导致辐射暴露增加和患者护理和诊断延误。本研究评估了DenseNet121和YOLOv8神经网络在检测次优cxr方面的功效,这可能会最大限度地减少延迟并提高患者的预后。方法:研究纳入3587例患者,中位年龄67岁(0 ~ 102岁)。它使用了一个初始数据集,其中包含10,000个cxr,随机分为训练子集(4000个最优和4000个次优)和验证子集(400个最优和400个次优)。测试子集(25个最优和25个次优)是从剩余的图像中挑选出来的,以提供足够的变化。选择神经网络DenseNet121和YOLOv8是因为它们具有图像分类的能力。DenseNet121是一个强大的,经过良好测试的模型,在医疗行业具有高精度的对象识别。YOLOv8是一款面向所有行业的前沿商业模式。他们的表现通过接受者工作曲线下面积(AUROC)进行评估,并利用卡方检验与放射科医生分类进行比较。结果:DenseNet121的AUROC为0.97,而YOLOv8的AUROC为0.95,表明其区分最佳和次优cxr的能力很强。放射科医生和模型之间的对齐表现出可变性,部分原因是缺乏临床适应症。然而,性能没有统计学意义。结论:两种人工智能模型都能有效地对胸部x线质量进行分类,展示了为放射技师提供反馈以提高图像质量的潜力。值得注意的是,这是第一个包括PA和侧位cxr以及儿科病例的研究,也是第一个评估YOLOv8在该应用中的应用。
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引用次数: 0
Ensuring the Safety of MRI Patients With Medical Implants or Devices In Situ: A Snapshot in Time of the Role and Responsibilities of New Zealand and Australian MRI Technologists (Radiographers) 确保原位医疗植入物或设备的MRI患者的安全:新西兰和澳大利亚MRI技术人员(放射技师)的角色和责任的快照。
IF 2 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-07-11 DOI: 10.1002/jmrs.70007
Adrienne Young, Lisa Mittendorff, Jenny Hiow Hui Sim

Introduction

Poor clinical decision-making in MRI can lead to significant patient injuries and, in some cases, prove fatal. With the ever-increasing range and numbers of MR-conditional implants and devices, the complexity of decision-making in this environment has increased. While historically performed by radiologists, this decision-making is becoming integrated into the MRI technologists' (radiographers') role. The aim of this paper is to document the evolving role and responsibilities of MRI technologists (MRITs) in New Zealand (NZ) and Australia when scanning patients with medical implants.

Methods

Utilising a mixed-methods case study research design, quantitative and qualitative data were collected via an online questionnaire and semistructured interviews. The questionnaire was completed by 235 MRITs, 12 of whom were also interviewed.

Results

Findings confirm that the MRIT role in NZ and Australia in 2018 had evolved over the preceding decade from one focused on technical proficiency to a role involving a higher level of cognitive function and competency relating to MRI safety. Participants identified that all MRITs must be responsible for MRI safety clinical decision-making, not just a select few. Some concerns were raised that radiologists are no longer sufficiently educated in MRI safety, supporting the need for a team effort instead.

Conclusion

Aligning with recent global calls to standardise MRIT education and regulation requirements, this study provides evidence to support a separate registerable MRI scope of practice. This will enable MRI-specific knowledge and continuing professional development (CPD) in MRI safety to be mandated and audited so that clinical decisions are informed and safe.

导读:MRI中不良的临床决策可能导致严重的患者损伤,在某些情况下,甚至是致命的。随着核磁共振条件植入物和设备的范围和数量不断增加,在这种环境下决策的复杂性也增加了。虽然历史上由放射科医生执行,但这一决策正在融入MRI技术专家(放射科医生)的角色。本文的目的是记录演变的作用和责任的MRI技术人员(MRITs)在新西兰(NZ)和澳大利亚扫描患者与医疗植入物。方法:采用混合方法的案例研究设计,通过在线问卷和半结构化访谈收集定量和定性数据。问卷由235名核磁共振成像人员完成,其中12人也接受了访谈。结果:研究结果证实,在过去的十年中,2018年新西兰和澳大利亚的MRI角色已经从一个专注于技术熟练程度的角色演变为一个涉及更高水平的认知功能和与MRI安全相关的能力的角色。与会者认为,所有核磁共振成像人员必须对核磁共振安全临床决策负责,而不仅仅是少数人。一些人担心放射科医生在核磁共振安全方面的教育不足,因此需要团队合作。结论:与最近全球对MRI教育和监管要求标准化的呼吁一致,本研究为支持单独注册的MRI实践范围提供了证据。这将使MRI安全方面的MRI专业知识和持续专业发展(CPD)得到授权和审核,从而使临床决策更加明智和安全。
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引用次数: 0
Enhancing Patient-Centred Care and Cultural Safety in Medical Imaging: The Radiographers Experience of Communicating With Patients in a Multicultural and Multilingual Setting in Auckland 加强以病人为中心的护理和医学成像的文化安全:在奥克兰的多元文化和多语言环境中与病人交流的放射技师的经验。
IF 2 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-07-10 DOI: 10.1002/jmrs.70005
Nica Abrasado, Sibusiso Mdletshe

Introduction

Effective communication between patients and healthcare professionals has been shown to contribute to beneficial patient outcomes but requires recognition of linguistic and cultural differences. This is critical in a locality like Auckland which has been shown to be the most diverse region in New Zealand in terms of ethnicity, languages and culture. English is the most spoken language in New Zealand, followed by Te Reo Māori. The aim of this qualitative, phenomenological study was to explore and describe the experience of radiographers communicating with patients in a multi-cultural, multi-lingual healthcare setting in Auckland, New Zealand.

Methods

The research study population included radiographers registered with the Medical Radiation Technologists Board (MRTB) employed at the study location. The participant recruitment process included convenience, purposive, and snowball sampling. Data was collected through individual interviews that were audio-recorded and transcribed verbatim, with the sample size (n = 11) determined through the saturation of themes. Data was analysed by means of Tesch's framework for data analysis.

Results

Four themes emerged: (a) cross-cultural challenges in patient communication; (b) enhanced patient-centred care through culturally responsive communication; (c) tailored communication methods based on contextual patient factors; and (d) adaptive communication strategies.

Conclusion

This study underscores the importance of adaptive communication in overcoming linguistic and cultural barriers, emphasising the need for culturally safe and patient-centered care while maintaining professionals' responsibility to provide quality care to diverse patient populations.

The findings have relevance beyond Māori context, highlighting the changing role of radiographers towards equitable and culturally sensitive healthcare.

患者和医护人员之间的有效沟通已被证明有助于有益的患者结果,但需要认识到语言和文化差异。这对于像奥克兰这样的地方来说至关重要,奥克兰已经被证明是新西兰在种族、语言和文化方面最多样化的地区。英语是新西兰最常用的语言,其次是雷奥语Māori。本定性、现象学研究的目的是探索和描述新西兰奥克兰多文化、多语言医疗环境中放射技师与患者沟通的经验。方法:研究人群包括在研究地点雇用的医学放射技师委员会(MRTB)注册的放射技师。参与者招募过程包括方便、有目的和滚雪球抽样。数据是通过个人访谈收集的,录音并逐字抄写,样本量(n = 11)通过主题的饱和度来确定。采用Tesch数据分析框架对数据进行分析。结果:出现了四个主题:(a)患者沟通中的跨文化挑战;(b)通过响应文化的沟通加强以病人为中心的护理;(c)基于患者情境因素的定制沟通方法;(d)适应性沟通策略。结论:本研究强调了适应性沟通在克服语言和文化障碍中的重要性,强调了文化安全和以患者为中心的护理的必要性,同时维护了专业人员为不同患者群体提供高质量护理的责任。研究结果的相关性超出了Māori的背景,突出了放射技师在公平和文化敏感的医疗保健方面的角色变化。
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引用次数: 0
Quantifying the Carbon Footprint of External Beam Radiation Therapy—A Narrative Review 量化外束放射治疗的碳足迹-述评。
IF 2 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-07-09 DOI: 10.1002/jmrs.70009
Karen Mukasa Kyeyune, Michelle Leech

The health care sector contributes significant amounts of greenhouse gases (GHGs) to the global climate change issue. However, little remains known about the specific contribution of radiation therapy even though there are methods/tools to quantify its carbon footprint. This narrative review aimed to identify aspects within the external beam radiation therapy pathway that are associated with a significant carbon footprint and the methods by which this footprint can be assessed. These were categorised as power consumption of magnetic resonance imaging (MRI) and computed tomography (CT) for imaging and/or diagnosis in the pre-treatment setting, power consumption of linear accelerators (LINACs) in the treatment phase as well as patient travel. A search strategy with appropriate search terms was carried out on PubMed, Scopus, Embase and Web of Science to identify relevant studies. No time filter was applied during the search. Life cycle assessment as a method to quantify carbon footprint for radiation therapy remains under-utilised. Direct conversion of power consumption into carbon dioxide equivalence is a more feasible method. In the pre-treatment setting, use of MRI results in more GHG output compared to CT. Longer courses of radiation therapy result in significantly more GHG output compared to shorter fractionations as an alternative in the same disease site. Fractionation impacts the frequency of patient travel, another aspect that contributes significantly to the radiation therapy carbon footprint. Identification of areas contributing the most to the carbon footprint of radiation therapy will pave the way for future research into finding solutions to its offset.

卫生保健部门对全球气候变化问题产生了大量的温室气体。然而,尽管有量化其碳足迹的方法/工具,但人们对放射治疗的具体贡献知之甚少。这篇叙述性综述旨在确定外束放射治疗途径中与显著碳足迹相关的方面,以及评估碳足迹的方法。这些因素被归类为磁共振成像(MRI)和计算机断层扫描(CT)的功耗,用于治疗前的成像和/或诊断,治疗阶段线性加速器(LINACs)的功耗以及患者的旅行。在PubMed、Scopus、Embase和Web of Science上使用合适的搜索词进行搜索策略,识别相关研究。在搜索过程中没有应用时间过滤器。生命周期评估作为一种量化放射治疗碳足迹的方法仍未得到充分利用。将耗电量直接换算成二氧化碳当量是一种更为可行的方法。在预处理环境中,与CT相比,MRI的使用导致更多的温室气体排放。作为同一疾病部位的替代疗法,较长的放射治疗疗程导致的温室气体排放量明显高于较短的放射治疗疗程。分院会影响患者出行的频率,这是影响放射治疗碳足迹的另一个重要因素。确定对放射治疗碳足迹贡献最大的领域将为未来的研究寻找解决方案铺平道路。
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引用次数: 0
Comparison of Auto-Contouring Tools for Delineation of Normal Organs at Risk in Paediatric Patients Undergoing Radiotherapy. 在接受放射治疗的儿科患者中,自动轮廓工具用于正常器官危险描绘的比较。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-06-29 DOI: 10.1002/jmrs.893
Isabel Cant, Jonathan Sykes, Yolanda Surjan, Rachael Beldham-Collins, Laura Murphy, John Fernandez, Alison Salkeld

Introduction: Contouring organs at risk (OARs) manually in paediatric patients undergoing cranial-spinal radiation therapy (CSI) is a time-consuming, labour-intensive task. This study aims to assess the accuracy and clinical acceptability of auto-contours produced by the Siemens DirectORGANS auto-contouring software on paediatric patients receiving CSI treatment.

Methods: Auto-contours of OARs were produced using the Siemens DirectORGANS Auto-contouring Software from 20 paediatric CSI patients datasets that had previously been manually contoured by a paediatric specialist radiation therapist (RT) for plan production. Manual and auto-contours were retrospectively analysed using quantitative (Dice Similarity Coefficient, Hausdorff Distance, Mean Distance to Agreement) and qualitative (Likert ratings, Turing test) assessment techniques.

Results: Auto-contoured structures were clinically acceptable for use without edits 72.8% of the time, and manual contours were clinically acceptable for use 91.7% of the time. The liver was the only auto-contoured structure that performed better than the manual equivalent. Poor performance by the auto contouring tool was noted for structures surrounded by low contrast edges, such as the breasts, oesophagus, and brainstem, in both quantitative and qualitative assessment techniques. Brain auto-contours were deemed not suitable for clinical use.

Conclusion: The clinical acceptability of many of the auto-contours favours the implementation of this auto-contouring system for clinical use. However, prior to use, all contours should be critically assessed and edited accordingly. Our study results indicate that whilst auto-contouring tools are designed for adult populations, they are suitable for use on paediatric patients when used with caution.

在接受颅脊髓放射治疗(CSI)的儿科患者中,手动勾画危险器官(OARs)是一项耗时、劳动密集型的任务。本研究旨在评估西门子DirectORGANS自动轮廓软件对接受CSI治疗的儿科患者产生的自动轮廓的准确性和临床可接受性。方法:使用西门子DirectORGANS自动轮廓软件从20例儿科CSI患者数据集中生成OARs的自动轮廓,这些数据集先前由儿科专科放射治疗师(RT)手动轮廓以制作计划。使用定量(骰子相似系数,豪斯多夫距离,平均一致距离)和定性(李克特评分,图灵测试)评估技术回顾性分析手动和自动轮廓。结果:72.8%的临床接受自动轮廓结构无需编辑使用,91.7%的临床接受手动轮廓。肝脏是唯一的自动轮廓结构,表现优于手动等量。在定量和定性评估技术中,自动轮廓工具在被低对比度边缘包围的结构(如乳房、食道和脑干)中表现不佳。脑自动轮廓不适合临床应用。结论:许多自动轮廓的临床可接受性有利于该自动轮廓系统的临床应用。然而,在使用之前,所有的轮廓都应该经过严格的评估和编辑。我们的研究结果表明,虽然自动轮廓工具是为成年人设计的,但在谨慎使用时,它们也适用于儿科患者。
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引用次数: 0
Positional Challenges of the Anteroposterior Pelvic X-Ray: Comparison of Imaging Reject Rates Between Trauma Trolley and Table Bucky 骨盆正位x线的位置挑战:创伤推车与手术台的影像拒绝率比较。
IF 2 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-06-29 DOI: 10.1002/jmrs.70004
Sangdon Lee, Frances Gray, Yobelli Jimenez, Susan Said, Cameron Moore

Introduction

Pelvic x-rays can be conducted on a trauma trolley or conventional table bucky. The aim of this study was to compare the positional challenges and reject rate between pelvic x-ray images taken on a trauma trolley and a table bucky during a 12-month period in an Australian public metropolitan hospital's emergency department and to determine the accuracy rate of anatomical inclusion via a qualitative assessment of pelvic x-rays using a modified Visual Grading Scale (VGS).

Methods

A retrospective clinical audit of pelvic x-ray image reject rates over a 12-month period was conducted for an emergency department at an Australian hospital. Reject rate and anatomical cut-off were compared between images taken on a trauma trolley and a table bucky using independent samples t-test.

Results

A total of 1847 patients who underwent pelvic x-ray examinations were included in the study. The mean reject rate and the first exposure accuracy of pelvis x-rays taken on a trauma trolley were 35.5% and 56.7% respectively, while the mean reject rate and the first exposure accuracy for images taken on a table bucky were 18.8% and 81.8%, respectively (p < 0.01). The superior and lateral anatomy cut-off were the major causes of image rejection for both techniques.

Conclusions

Pelvic x-rays taken on a trauma trolley had a significantly higher reject rate and lower first exposure accuracy compared with those taken on an x-ray table. Future studies could involve implementing strategies to reduce the reject rate of pelvic x-rays taken on trauma trolleys.

盆腔x光可在创伤台车或常规手术台上进行。本研究的目的是比较澳大利亚一家公立大都会医院急诊科12个月期间在创伤车和手术台上拍摄的骨盆x线图像的位置挑战和拒绝率,并通过使用改进的视觉分级量表(VGS)对骨盆x线进行定性评估,确定解剖包皮的准确率。方法:回顾性临床审计盆腔x线图像拒绝率超过12个月期间在澳大利亚一家医院的急诊科进行。采用独立样本t检验比较创伤台车和台车图像的拒绝率和解剖截点。结果:本研究共纳入1847例盆腔x线检查患者。创伤台车盆腔x线片的平均拒绝率和首次曝光准确率分别为35.5%和56.7%,手术台车盆腔x线片的平均拒绝率和首次曝光准确率分别为18.8%和81.8% (p)。结论:创伤台车盆腔x线片的拒绝率和首次曝光准确率明显高于x线片。未来的研究可能涉及实施策略,以减少在创伤推车上进行盆腔x光片的拒绝率。
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引用次数: 0
Three-Dimensional Printing in Breast Radiation Therapy: A Scoping Review of the Literature 三维打印在乳房放射治疗中的应用:文献综述。
IF 2 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-06-27 DOI: 10.1002/jmrs.70000
Chamitha Weerasinghe, Patrick Estoesta, Ashley Cullen, Elizabeth Claridge Mackonis

Introduction

Tissue equivalent bolus is used to increase dose to skin and superficial tissue in adjuvant breast or chest wall radiation therapy. Three-dimensional (3D) printed bolus offers a customised conformal device and potential for improved anatomic conformity and dose distribution.

Methods

A literature search was defined as per PRISMA guidelines for scoping review. Inclusion criteria were determined using PICO guidelines. The parameters of interest, including year, journal, study type, intervention details, clinical sample size and pre-clinical case numbers, were extracted from each article. The reported outcomes, such as dosimetry, anatomic conformity, dose to organs at risk and toxicity data were recorded.

Results

Thirteen publications were reviewed, six studies were pre-clinical and seven were clinical. Ten were performed in the post-mastectomy setting and utilised polylactic acid (PLA) bolus. Overall, most studies reported marginal improvement in dosimetry, anatomic conformity, organ at risk dosimetry and toxicity with 3D printed bolus. However, sample sizes utilised were small and study design was variable with unusual choices of comparator arm and introduction of other variables.

Conclusion

Three-dimensional printed bolus is an emerging technology in radiation oncology. Most available data in the setting of breast radiation therapy is positive, though interpretation of results is difficult given the small sample sizes and variable study design. Further investigations in larger cohorts in a clinical setting is warranted.

简介:在乳腺或胸壁辅助放射治疗中,组织当量丸用于增加对皮肤和浅表组织的剂量。三维(3D)打印丸提供了定制的适形装置,并有可能改善解剖一致性和剂量分布。方法:根据PRISMA指南定义文献检索,进行范围审查。采用PICO指南确定纳入标准。从每篇文章中提取感兴趣的参数,包括年份、期刊、研究类型、干预细节、临床样本量和临床前病例数。记录了报告的结果,如剂量学、解剖一致性、危险器官的剂量和毒性数据。结果:共回顾文献13篇,临床前研究6篇,临床研究7篇。10例在乳房切除术后进行,并使用聚乳酸(PLA)丸。总体而言,大多数研究报告了3D打印丸在剂量学、解剖一致性、危险器官剂量学和毒性方面的边际改善。然而,使用的样本量很小,研究设计具有不同寻常的比较臂选择和其他变量的引入。结论:三维打印丸是一种新兴的放射肿瘤学技术。虽然由于样本量小和研究设计多变,对结果的解释很困难,但大多数关于乳房放射治疗的现有数据都是积极的。在临床环境中进行更大规模的进一步调查是有必要的。
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引用次数: 0
Local Diagnostic Reference Levels in Digital Breast Tomosynthesis 数字乳腺断层合成的局部诊断参考水平。
IF 2 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-06-25 DOI: 10.1002/jmrs.892
Peter Barnes, Michelle Kostidis, Julie Nguyen, Molly O'Donohue

Introduction

Diagnostic Reference Levels (DRLs) are a guideline to indicate whether the radiation administered during medical procedures performed under routine conditions is unusually low or high. Currently, there are no national DRLs in Australia for Digital Breast Tomosynthesis Mammography (DBT). Given the radiosensitivity of breast tissue, establishing DRLs for DBT is of great importance. This research aims to develop Local Diagnostic Reference Levels (LDRLs) for DBT that can be used as a guide for monitoring radiation delivery levels, and a Quality Assurance tool to assist in monitoring the performance of the mammography unit.

Methods

Average Glandular Dose (AGD) was collected from patient data through OpenREM software. Other data collected included breast density, compression force, compressed breast thickness (CBT), operative and treatment status. LDRLs were set using the 75th percentile (third quartile AGD values), categorised into four CBT ranges and compared against the median AGD values.

Results

LDRLs were similar for both craniocaudal and mediolateral oblique views. LDRLs for CBT ranges of 13–49 mm, 50–74 mm, 75–99 mm and 100–118 mm were calculated to be 1.5, 2.70, 3.90 and 4.70 mGy, respectively. There was no statistically significant correlation between breast density and AGD.

Conclusion

It was found that CBT had a larger impact on dose than density. Significant differences were found between the LDRLs for each of the CBTs; therefore, setting a single LDRL for all CBTs may result in missing unacceptably high or low breast doses. LDRLs should be reviewed frequently to ensure the radiation dose patients receive is within optimal levels.

简介:诊断参考水平(DRLs)是一种指南,用于指示在常规条件下进行医疗程序时所给予的辐射是异常低还是异常高。目前,澳大利亚没有数字乳腺断层合成乳房x线照相术(DBT)的国家drl。鉴于乳腺组织的放射敏感性,建立DBT的drl非常重要。本研究旨在制定DBT的局部诊断参考水平(LDRLs),可作为监测辐射输送水平的指南,并作为质量保证工具,协助监测乳房x光检查部门的表现。方法:通过OpenREM软件采集患者资料中的平均腺剂量(AGD)。收集的其他数据包括乳房密度、压缩力、压缩乳房厚度(CBT)、手术和治疗状况。ldrl使用第75百分位(第三个四分位数AGD值)设定,分为四个CBT范围,并与AGD中位数进行比较。结果:在颅侧和中外侧斜位视图下,ldrl相似。在13-49 mm、50-74 mm、75-99 mm和100-118 mm的CBT范围内,LDRLs分别为1.5、2.70、3.90和4.70 mGy。乳腺密度与AGD之间无统计学意义相关。结论:CBT对剂量的影响大于对密度的影响。每种cbt的LDRLs之间存在显著差异;因此,为所有cbt设定一个单一的LDRL可能会导致错过不可接受的高或低乳房剂量。应经常审查最低限度,以确保患者接受的辐射剂量处于最佳水平。
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引用次数: 0
Creating Our Professional Evidence-Base: A Journey, Not a Destination 创建我们的专业证据基础:一个旅程,而不是目的地。
IF 2 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-06-23 DOI: 10.1002/jmrs.70003
Jonathan P. McNulty

Let's continue this essential and exciting journey as a profession and then we can celebrate our achievements, celebrate our new collaborations, and celebrate the impact of our research!

让我们继续这个重要的和令人兴奋的旅程作为一个专业,然后我们可以庆祝我们的成就,庆祝我们的新合作,并庆祝我们的研究的影响!
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引用次数: 0
Optimising Radiation Dose Estimation: UNSCEAR DAP-to-ED Conversion in Uterine Artery Embolisation 优化辐射剂量估计:UNSCEAR子宫动脉栓塞中dap到ed的转换。
IF 2 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2025-06-19 DOI: 10.1002/jmrs.70002
Don J. Nocum, John Robinson, Warren Reed

Introduction

Radiographers and physicians working in interventional radiology (IR) departments are responsible for monitoring and optimising radiation dose exposure to both patients and staff. The dose-area product (DAP) is a common measurement of radiation output but does not directly correlate with stochastic risks. Pre-determined conversion factors allow estimation of effective dose (ED) for IR procedures to better assess radiation exposure risks. This study evaluates the clinical utility of DAP-to-ED conversion factors to improve knowledge of radiation risk assessment.

Methods

Retrospective data on DAP (Gray per centimetre-squared/Gy.cm2) from uterine artery embolisation (UAE) procedures were analysed. Conversion factors were obtained from the ‘United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) Global Survey on Medical Exposure: A User Manual’. Group A (n = 50), which followed standard protocols, was compared with Group B (n = 50) which implemented dose optimisation techniques.

Results

Multivariable linear regression (MVLR) analysis demonstrated that DAP correlated with the converted ED values for both groups (p < 0.01). The mean ED was 9.5 milliSieverts (mSv) for Group A and 8.7 mSv for Group B.

Conclusion

MVLR analysis confirmed a strong correlation between DAP and the ED conversions, demonstrating that the ‘UNSCEAR User Manual’ has potential to serve as a DAP-to-ED estimation tool for common interventional procedures. The mean ED found was equivalent to the radiation dose of approximately one abdominal computed tomography (CT) scan. Implementing DAP-to-ED conversion can be valuable in improving both clinicians and patients' awareness of radiation exposure.

导言:在介入放射科(IR)工作的放射技师和医生负责监测和优化患者和工作人员的辐射剂量。剂量面积积(DAP)是测量辐射输出的常用方法,但与随机风险没有直接关系。预先确定的转换因子可以估算红外程序的有效剂量(ED),从而更好地评估辐射暴露风险。本研究评估dap - ed转换因子在提高辐射风险评估知识方面的临床应用。方法:回顾性分析子宫动脉栓塞(UAE)术中DAP(灰度每厘米平方/Gy.cm2)的数据。换算系数取自《联合国原子辐射影响科学委员会(辐射科委)医疗照射全球调查:用户手册》。采用标准方案的A组(n = 50)与采用剂量优化技术的B组(n = 50)进行比较。结果:多变量线性回归(MVLR)分析表明DAP与两组的ED转换值相关(p)。结论:MVLR分析证实DAP与ED转换之间存在很强的相关性,表明“UNSCEAR用户手册”有潜力作为常见介入手术的DAP- ED估计工具。发现的平均ED相当于大约一次腹部计算机断层扫描(CT)的辐射剂量。实施dap到ed的转换对于提高临床医生和患者对辐射暴露的认识都是有价值的。
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Journal of Medical Radiation Sciences
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