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A two-stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach. 精确识别和格里森分级临床显著前列腺癌的两阶段模型:混合方法。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-19 DOI: 10.1002/jmrs.841
Yuyan Zou, Xuechun Wang, Fen Ma, Xulun Liu, Chunyue Jiao, Zhen Kang, Jingjing Cui, Yang Zhang, Yan Xie, Lei Chen, Ronghua Tian

Introduction: Accurate identification and grading of clinically significant prostate cancer (csPCa, Gleason Score ≥ 7) without invasive procedures remains a significant clinical challenge. This study aims to develop and evaluate a two-stage model designed for precise Gleason grading. The model initially uses radiomics-based multiparametric MRI to identify csPCa and then refines the Gleason grading by integrating clinical indicators and radiomics features.

Methods: We retrospectively analysed 399 patients with PI-RADS ≥ 3 lesions, categorising them into non-significant prostate cancer (nsPCa, 263 cases) and csPCa (136 cases, subdivided by GGs). Regions of interest (ROIs) for the prostate and lesions were manually delineated on T2-weighted and apparent diffusion coefficient (ADC) images, followed by the extraction of radiomics features. A two-stage model was developed: the first stage identifies csPCa using radiomics-based MRI, and the second integrates clinical indicators for Gleason grading. Model efficacy was evaluated by sensitivity, specificity, accuracy and area under the curve (AUC), with external validation on 100 patients.

Results: The first-stage model demonstrated excellent diagnostic accuracy for csPCa, achieving AUCs of 0.989, 0.982 and 0.976 in the training, testing and external validation cohorts, respectively. The second-stage model exhibited commendable Gleason grading capabilities, with AUCs of 0.82, 0.844 and 0.83 across the same cohorts. Decision curve analysis supported the clinical applicability of both models.

Conclusions: This study validated the potential of T2W and ADC image radiomics features as biomarkers in distinguishing csPCa. Combining these features with clinical indicators for csPCa Gleason grading provides superior predictive performance and significant clinical benefit.

在没有侵入性手术的情况下准确识别和分级具有临床意义的前列腺癌(csPCa, Gleason评分≥7)仍然是一个重大的临床挑战。本研究旨在发展和评估一个两阶段的模型,该模型设计用于精确的格里森分级。该模型首先使用基于放射组学的多参数MRI来识别csPCa,然后通过整合临床指标和放射组学特征来改进Gleason分级。方法:我们回顾性分析399例PI-RADS≥3个病变的患者,将其分为非显著性前列腺癌(nsPCa 263例)和csPCa(136例,按GGs细分)。在t2加权和表观扩散系数(ADC)图像上手动划定前列腺和病变的感兴趣区域(roi),然后提取放射组学特征。开发了一个两阶段模型:第一阶段使用基于放射组学的MRI识别csPCa,第二阶段整合临床指标进行Gleason分级。采用敏感性、特异性、准确性和曲线下面积(AUC)评价模型疗效,并对100例患者进行外部验证。结果:第一阶段模型对csPCa的诊断准确率较高,在训练组、测试组和外部验证组的auc分别为0.989、0.982和0.976。第二阶段模型显示出值得称赞的Gleason分级能力,在相同的队列中auc分别为0.82、0.844和0.83。决策曲线分析支持两种模型的临床适用性。结论:本研究验证了T2W和ADC图像放射组学特征作为鉴别csPCa的生物标志物的潜力。将这些特征与csPCa Gleason分级的临床指标相结合,具有优越的预测性能和显著的临床效益。
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引用次数: 0
Beyond pink ribbons: The unmet needs of women with breast cancer. 粉红丝带之外:乳腺癌女性未满足的需求。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-19 DOI: 10.1002/jmrs.849
Laura Feighan, Lesley MacDonald-Wicks, Robin Callister, Yolanda Surjan

Breast cancer is the most frequently diagnosed cancer worldwide. The treatment options for breast cancer can cause side effects and adversely impact quality of life. Side effects, including fatigue, pain, cognitive changes, and psychosocial complications, can be life altering and continue beyond treatment into survivorship. Traditionally, health professionals focused almost entirely on achieving cancer survival; however, due to significant success in cancer treatment outcomes, most women now live beyond their breast cancer treatment. Consequently, addressing side effects and compromises in quality of life are becoming more important issues to include in a comprehensive approach to breast cancer treatment. For women, these unmet needs may involve body image concerns, sexual dysfunction, and other lifestyle challenges, and may not have previously been given sufficient recognition or priority. It is necessary for us, as oncology healthcare professionals, to modify our delivery of cancer care and ensure that more comprehensive care is provided to women. By addressing women's unmet needs, we can contribute to achieving the United Nations' Sustainable Development Goals regarding improving health and equality. This commentary seeks to emphasise the advantages of providing comprehensive care for women with breast cancer and advocates for cancer care professionals to actively participate in initiating and implementing this care.

乳腺癌是世界上最常见的癌症。乳腺癌的治疗方案可能会产生副作用,并对生活质量产生不利影响。副作用,包括疲劳、疼痛、认知变化和社会心理并发症,可能会改变生活,并持续到治疗结束后的生存期。传统上,卫生专业人员几乎完全专注于实现癌症生存;然而,由于癌症治疗结果的显著成功,大多数妇女现在活过了乳腺癌治疗。因此,解决副作用和生活质量的妥协正在成为一个更重要的问题,包括在一个全面的乳腺癌治疗方法。对于女性来说,这些未被满足的需求可能涉及对身体形象的担忧、性功能障碍和其他生活方式的挑战,这些需求在以前可能没有得到足够的重视或优先考虑。作为肿瘤医疗保健专业人员,我们有必要修改我们提供的癌症护理,并确保向妇女提供更全面的护理。通过解决妇女未满足的需求,我们可以为实现联合国关于改善健康和平等的可持续发展目标作出贡献。本评论旨在强调为患有乳腺癌的妇女提供全面护理的优势,并倡导癌症护理专业人员积极参与发起和实施这种护理。
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引用次数: 0
Technique considerations for implementing volumetric-modulated arc therapy for total body irradiation within an Australian tertiary institution. 在澳大利亚一所高等教育机构实施体积调制电弧全身照射治疗的技术考虑。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-13 DOI: 10.1002/jmrs.844
Gabriella La Macchia, Clare Wan, Joshua Dass, Mandy Taylor, Gabor Neveri, Malgorzata Skorska

Over the past decade, our institution delivered conventional total body irradiation (TBI) using Elekta's Monaco treatment planning system (TPS) with an extended SSD field arrangement and 18 megavoltage (MV) energy lateral fields. In 2020, there was a transition to the Eclipse™ treatment planning system and Truebeam® linear accelerators with 6 MV and 10 MV energies. These changes meant that essential components of the existing technique were unavailable for clinical use and a new approach to the institution technique was required to ensure continuation of service. The aim was to implement a volumetric-modulated arc therapy (VMAT) TBI technique using existing infrastructure, the new planning system and treatment hardware to continue providing a TBI service for patients of all ages, including those under general anaesthetic (GA). A multidisciplinary team within the institution was created to evaluate existing literature and to implement a VMAT TBI technique that was feasible within our institution. This article will discuss the resultant technique, the practicalities faced and the radiation therapy pathway within our institution.

在过去的十年中,我院使用Elekta的Monaco治疗计划系统(TPS)进行传统的全身照射(TBI),该系统具有扩展的SSD磁场排列和18兆伏特(MV)能量的侧向磁场。2020 年,过渡到 Eclipse™ 治疗计划系统和具有 6 MV 和 10 MV 能量的 Truebeam® 直线加速器。这些变化意味着现有技术的重要组成部分无法用于临床,需要对机构技术采取新的方法,以确保继续提供服务。我们的目标是利用现有的基础设施、新的规划系统和治疗硬件,实施体积调制弧治疗(VMAT)创伤性脑损伤技术,继续为所有年龄段的患者(包括全身麻醉患者)提供创伤性脑损伤服务。该机构成立了一个多学科小组,对现有文献进行评估,并在本机构内实施可行的 VMAT TBI 技术。本文将讨论该技术的成果、面临的实际问题以及本机构的放射治疗途径。
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引用次数: 0
Collaborative use of a 3D anatomy platform to motivate and enhance anatomy learning in first-year online medical sonography students. 协同使用3D解剖平台来激励和加强一年级在线医学超声学生的解剖学习。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-13 DOI: 10.1002/jmrs.848
Michelle Fenech, Nadia Mead

Introduction: Sonography students require a deep understanding of structural anatomy, including where structures sit relative to one another. Additionally, they need to learn the complex task of identifying structures on medical images including X-rays, computed tomography, magnetic resonance imaging and ultrasound imaging. Anatomy can be taught online, but learning can be challenging for students. Online three-dimensional (3D) anatomy platforms aid student learning, but research investigating how to use them effectively when teaching is scarce. This project evaluated the impact of incorporating a three-dimensional (3D) online anatomy platform into teaching relative structural anatomy and assist sonography students when learning how to recognise structures on medical images.

Methods: Sixty-one first-year sonography students within an articulated undergraduate and postgraduate medical sonography programme in Australia, studying anatomy online participated in this mixed methods study. The impact of using a 3D online anatomy platform on their conceptual 3D anatomy understanding of relative anatomy, development of medical image recognition skills and their learning experience was assessed via a Qualtrics survey.

Results: Students who used this platform collaboratively enhanced their relative anatomy understanding and developed the skill of identifying structures from medical images. The scaffolded use of this platform generated enquiry discussions between teachers and students and made learning anatomy online a social and enjoyable experience.

Conclusion: Collaborative and interactive scaffolded use of 3D online anatomy platforms can motivate and encourage student questions and discussions, enabling social connections and enhancing their learning experience. Student enquiry skills were developed, and the more complex task of identifying structures from medical images was made achievable.

简介:超声造影专业的学生需要深入了解结构解剖学,包括结构之间的相对位置。此外,他们还需要学习在 X 光、计算机断层扫描、磁共振成像和超声成像等医学影像上识别结构的复杂任务。解剖学可以在线教学,但学习对学生来说可能具有挑战性。在线三维(3D)解剖学平台有助于学生的学习,但有关如何在教学中有效使用这些平台的研究却很少。本项目评估了将三维(3D)在线解剖学平台纳入相对结构解剖学教学的影响,并帮助超声造影学生学习如何识别医学影像上的结构:在澳大利亚,61 名一年级超声造影学生在衔接的医学超声造影本科和研究生课程中在线学习解剖学,他们参与了这项混合方法研究。通过Qualtrics调查评估了使用三维在线解剖学平台对他们对相对解剖学的概念性三维解剖理解、医学图像识别技能的发展以及学习体验的影响:结果:使用该平台的学生共同提高了对相对解剖学的理解,并发展了从医学图像识别结构的技能。该平台的支架式使用引发了教师和学生之间的探究讨论,使在线学习解剖学成为一种社交和愉快的体验:结论:协作和交互式支架式使用三维在线解剖学平台可以激发和鼓励学生提问和讨论,建立社会联系,增强他们的学习体验。学生的探究技能得到了发展,从医学图像中识别结构这一较为复杂的任务也变得容易完成。
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引用次数: 0
Pre-operative transcranial Doppler ultrasound assessment of cerebral collateral circulation in children undergoing veno-arterial extracorporeal membrane oxygenation or cardiac surgery. 接受静脉-动脉体外膜氧合或心脏手术的儿童术前经颅多普勒超声评估脑侧支循环。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-13 DOI: 10.1002/jmrs.845
Tristan Reddan, Michael Malouf, Prem Venugopal, Jennifer Powell

Children requiring veno-arterial extracorporeal membrane oxygenation (VA ECMO) or cardiac surgery often undergo cervical cannulation or carotid artery clamping, which can interrupt cerebral circulation. Inadequate collateral flow through the circle of Willis (CoW) may lead to cerebral ischaemia within the vascular territory and/or watershed regions. Pre-cannulation survey of the CoW using transcranial Doppler (TCD) ultrasound may be performed to predict and plan neuroprotection. It is important to note in this article TCD refers to Duplex or colour coded trans-cranial Doppler (TCCD) using radiology-based machines, which is distinct from the more traditional trans-cranial Doppler technique that does not incorporate a B-mode image. This article describes our technique, in use since 2019, to guide surgical approaches and neuroprotective measures when an incomplete CoW is identified. High-end radiology-based ultrasound platforms and various transducers are used to assess brain morphology and haemorrhage through the anterior fontanelle in neonates. TCD is performed with the highest frequency transducer possible, utilising Doppler imaging to visualise cerebral arteries. Manual carotid compression can be used to functionally assess collateral flow when segments appear aplastic or hypoplastic. Potential pitfalls include mistaking the anterior choroidal artery for a hypoplastic posterior communicating artery (PCommA). Since implementing this protocol 5 years ago, no catastrophic infarcts related to cervical cannulation have occurred. This technique provides a practical solution for pre-operative assessment of cerebral collateral circulation in children undergoing VA ECMO or cardiac surgery, allowing for consideration of neuroprotective measures and improving patient safety.

需要进行静脉-动脉体外膜氧合(VA ECMO)或心脏手术的儿童通常要进行颈部插管或颈动脉夹闭,这可能会中断脑循环。通过威利斯圈(CoW)的侧支血流不足可能导致血管区域和/或分水岭区域的脑缺血。可使用经颅多普勒(TCD)超声对CoW进行封堵前调查,以预测和规划神经保护。需要注意的是,本文中的 TCD 是指使用放射学机器的双相或彩色编码经颅多普勒 (TCCD),它有别于不包含 B 型图像的传统经颅多普勒技术。本文介绍了我们自2019年开始使用的技术,该技术可在发现不完全CoW时指导手术方法和神经保护措施。基于放射学的高端超声平台和各种换能器用于评估新生儿的脑形态和通过前囟门的出血情况。TCD 使用尽可能高频率的传感器,利用多普勒成像来观察脑动脉。当动脉节段出现缺损或发育不良时,可使用手动颈动脉压迫来评估侧支血流的功能。潜在的误区包括将脉络膜前动脉误认为是发育不良的后交通动脉(PCommA)。自 5 年前实施该方案以来,没有发生过与颈部插管相关的灾难性梗死。这项技术为接受 VA ECMO 或心脏手术的患儿术前评估脑侧支循环提供了一个实用的解决方案,从而可以考虑神经保护措施并提高患者的安全性。
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引用次数: 0
Continuing Professional Development – Answers 持续专业发展-答案。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-12 DOI: 10.1002/jmrs.828

Maximise your Continuing Professional Development (CPD) by reading the selected articles and answer the five questions. Please remember to self-claim your CPD and retain your supporting evidence.

通过阅读选定的文章并回答五个问题,最大限度地提高你的持续专业发展(CPD)。请记得申请CPD,并保留证明文件。
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引用次数: 0
Quantifying non-clinical outcomes of ultra-hypofractionated breast radiotherapy in Western NSW-A narrative review. 量化西方nsw超低分割乳腺放疗的非临床结果-一篇叙述性综述。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-09 DOI: 10.1002/jmrs.842
Faith Yeo, Rachael Beldham-Collins, Paul Roth, Rodney Hammond

Ultra-Hypofractionated Whole Breast Radiotherapy (U-WBRT) has been proven to be a viable treatment option for breast cancer patients receiving radiation therapy, however, due to its novelty our understanding of its non-clinical benefits is still evolving. With increasing U-WBRT selection during COVID and in rural and regional settings such as the Western New South Wales Local Health District (WNSWLHD), it's important to quantify the savings when compared to other fractionation schedules (e.g. Conventional fractionation (C-WBRT) involving 25 fractions and Moderate hypofractionation (M-WBRT) with 15 fractions.) Using literature sourced from Medline, Embase, Pubmed and reports from relevant websites and organisations this narrative review investigates quantifiable methods of assessing non-clinical benefits of U-WBRT in rural settings according to the triple bottom line philosophy. This review was able to identify a standard set of quantifiable metrics that can compare the non-clinical benefits of various fractionation schedules, with relevance to a rural setting. These include: fractionation trends, financial subsidy, average linear accelerator (Linac) minutes, hospital visits, travel time and distance, Linac energy consumption, travel and Linac carbon emissions. By identifying these metrics, non-clinical benefits between the fractionation schedules can easily be quantified and compared.

超低分割全乳放疗(U-WBRT)已被证明是接受放射治疗的乳腺癌患者的可行治疗选择,然而,由于其新颖性,我们对其非临床益处的理解仍在不断发展。随着新冠肺炎期间以及新南威尔士州西部地方卫生区(WNSWLHD)等农村和区域环境中U-WBRT的选择越来越多,与其他分馏计划(例如,涉及25个分馏的常规分馏(C-WBRT)和涉及15个分馏的中等低分馏(M-WBRT))相比,量化节省的成本非常重要。本文使用来自Medline、Embase、Pubmed的文献以及相关网站和组织的报告,根据三重底线哲学,研究了评估农村地区U-WBRT非临床益处的可量化方法。本综述能够确定一套标准的可量化指标,可以比较与农村环境相关的各种分馏计划的非临床益处。这些因素包括:分馏趋势、财政补贴、平均直线加速器(Linac)分钟、医院访问量、行驶时间和距离、直线加速器能耗、旅行和直线加速器碳排放。通过确定这些指标,可以很容易地量化和比较分馏计划之间的非临床益处。
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引用次数: 0
Acknowledging the peer reviewers of Journal of Medical Radiation Sciences, October 2023–September 2024 感谢《医学放射科学杂志》2023年10月- 2024年9月的同行审稿人。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-12-03 DOI: 10.1002/jmrs.838
<p>The editorial review board, the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) and the New Zealand Institute of Medical Radiation Technology (NZIMRT) acknowledge the following peer reviewers for their dedication and commitment to the journal. Thank you for sharing your valuable time and knowledge.</p><p>James Stanley</p><p>Peter Kench</p><p>Amy Brown</p><p>Karen Dobeli</p><p>Georgia Halkett</p><p>Andrew Kilgour</p><p>Scott Jones</p><p>Chandra Makanjee</p><p>Martin Mitchell</p><p>Robba Rai</p><p>John Robinson</p><p>Clare Singh</p><p>Adam Steward</p><p>Francis Zarb</p><p>Dana Al-Mousa</p><p>Nigel Anderson</p><p>Marilyn Baird</p><p>Rachael Beldham-Collins</p><p>Pippa Bresser</p><p>Mikaela Dell'Oro</p><p>Victoria Earl</p><p>Ernest Ekpo</p><p>Sheryl Foster</p><p>Ziba Gandomkar</p><p>David Gilmore</p><p>Therese Gunn</p><p>Peter Hanna</p><p>Richard W. Harbron</p><p>James Hayes</p><p>Lynne Hazell</p><p>Bronwyn Hilder</p><p>Peter Hogg</p><p>Yobelli Jimenez</p><p>Gerhardus Koch</p><p>Gordon Mander</p><p>Kristie Matthews</p><p>Sibusiso Mdletshe</p><p>Martin Necas</p><p>Michael Neep</p><p>Jodie Nixon</p><p>Tracey Pieterse</p><p>William Rae</p><p>Oona Reardon</p><p>Meegan Shepherd</p><p>Zhonghua Sun</p><p>John Thompson</p><p>Kenton Thompson</p><p>Adrienne Young</p><p>Sarah Lewis</p><p>Kamarul Abdullah</p><p>Laura Adamson</p><p>Verity Ahern</p><p>Theophilus Akudjedu</p><p>Sophie Alexander</p><p>Tonima Ali</p><p>Haney Alsleem</p><p>Sally Ball</p><p>Luke Barclay</p><p>Stevens Barry</p><p>Salvatore Berlangieri</p><p>Eva Bezak</p><p>Anita Bowman</p><p>Robyn Brady</p><p>Vicki Braithwaite</p><p>Maura Brown</p><p>Rachel Burton</p><p>Gemma Busuttil</p><p>Ethan Butson</p><p>Ke Cao</p><p>Yasmin Casmod</p><p>Chelsea Castillo</p><p>Crispen Chamunyonga</p><p>Shayne Chau</p><p>Nahid Chegeni</p><p>Deanne Chester</p><p>Kabilan Chokkappan</p><p>Jillian Clarke</p><p>James Crowhurst</p><p>Jennifer Dang</p><p>Rob Davidson</p><p>Jenna Dean</p><p>Pradip Deb</p><p>Edel Doyle</p><p>Elisabeth Elder</p><p>Kirsten Elleray</p><p>Doaa Elwadia</p><p>Andrew England</p><p>Brendan Erskine</p><p>Hafsa Essop</p><p>Mel Evans</p><p>Andrew Firman</p><p>Alannah Flockton</p><p>Janniko Georgiadis</p><p>Nicola Giannotti</p><p>Gopinath Gnanasegaran</p><p>Frances Grey</p><p>Roshini Gunewardena</p><p>Catriona Hargrave</p><p>Patrick Horsley</p><p>Chamandra Kammies</p><p>Abel Karera</p><p>Alannah Kejda</p><p>Toni Kelly</p><p>Ben Kennedy</p><p>Thandokuhle Khoza</p><p>Scott King</p><p>Tracy Kirkbride</p><p>Caroline Landelle</p><p>Drew Latty</p><p>Andrew Le</p><p>Fiona Lee</p><p>Margot Lehman</p><p>Shantel Lewis</p><p>Gaorui Liu</p><p>Kelly Lloyd</p><p>Magdalena Lutaka</p><p>Vanathy Manivasahan</p><p>Sonyia McFadden</p><p>Lisa McGuire</p><p>Glenda McLean</p><p>Vaughan Moutrie</p><p>Andrew Murphy</p><p>Soma Nesan</p><p>Michelle O'Connor</p><p>Katrina O'Keefe</p><p>Peter O'Reilly</p><p>Craig Opie</p><p>Brooke Osborne</p><p>Sharon Oultram</p><p>Vanessa Panettieri</p><p>Eric Pei Ping Pang
编辑评审委员会、澳大利亚医学成像和放射治疗学会(ASMIRT)和新西兰医学放射技术研究所(NZIMRT)感谢以下同行评审人员对本刊的奉献和承诺。感谢您分享宝贵的时间和知识。詹姆斯·斯坦利,彼得·肯切尼·布朗,凯伦·多贝利,乔治娅·哈尔克特,安德鲁·基尔古尔斯,斯科特·琼斯,钱德拉·马坎吉,马丁·米切尔,罗伯·约翰·罗宾森,克莱尔·辛格,管家弗朗西斯·扎尔布达娜·阿尔·穆阿尼·安德森,玛丽莲·拜尔,迈克尔·贝尔德姆-柯林斯,斯帕·布雷瑟,米凯拉·戴尔·奥罗,维多利亚·厄尔尼斯·埃克波,谢丽尔·福斯特,兹芭·甘多姆,大卫·吉尔摩,特蕾莎·冈恩,彼得·汉纳,理查德·w·哈布朗,詹姆斯·海斯,林恩·哈泽尔·布朗温·希尔德,彼得·霍吉约贝利·吉梅内斯,格哈德斯·科赫,戈登·曼德,克里斯蒂·马修·西布希索·姆莱什·马丁neasmichael NeepJodie NixonTracey PieterseWilliam raoona ReardonMeegan ShepherdZhonghua sun约翰·汤普森·肯顿·汤普森阿德里安娜·杨莎拉·刘易斯·卡马鲁尔·阿卜杜拉·劳拉·亚当森verity AhernTheophilus akudjedusopphealexandertonima AliHaney AlsleemSally BallLuke BarclayStevens barrysalatore BerlangieriEva BezakAnita BowmanRobyn BradyVicki BraithwaiteMaura BrownRachel burtonemma BusuttilEthan ButsonKe caoasmin CasmodChelsea CastilloCrispen ChamunyongaShayne chaunhid chegenidanne ChesterKabilanChokkappanJillian ClarkeJames CrowhurstJennifer dang罗布·戴维森詹娜·迪恩·普拉迪普·德贝德尔·多伊尔伊丽莎白·埃尔斯滕·埃勒雷·多伊尔·埃尔瓦迪安·安德鲁·英格兰·布兰登·厄斯金·哈夫萨·埃夫梅尔·埃文斯安德鲁·菲尔曼·阿兰娜·弗洛克·詹尼科·乔治·尼可拉·戈皮纳斯·格纳斯·格兰德·弗朗西丝·格雷希尼·格温娜·卡特琳娜·哈格拉夫·帕特里克·霍斯利chamandra KammiesAbel KareraAlannah KejdaToni kelly本·肯尼迪·桑德库拉·霍斯科特·金特蕾西·柯克布里奇卡罗琳·兰德勒德鲁·拉蒂安德鲁·莱菲奥娜·李·玛格特LehmanShantel LewisGaorui liukley LloydMagdalena LutakaVanathy manivasahia McFaddenLisa mcguiregenda McLeanVaughan MoutrieAndrew MurphySoma NesanMichelle O'ConnorKatrina O' keepeter O'ReillyCraig oreilly brooke osburn haron OultramVanessa PanettieriEric Pei Ping PangGeorge PapadatosJennifer parks malene PedersenMelanie PenfoldScott penfoldosefa PessinAngelina piccolojoi - anne PinsonNatalie PollardJonathan Loui portellisresh ranmohammad RawashdehTristan reddmajella russososusan赛琳娜justinNewton ScanlanKaren M. ScottAnna SeeleyMichala ShortKelly SmartKate StewartLaura StorkHironori TakahashiLinda ThebridgeSamantha thomasongong Dung (Yun) TrieuWan Nordiana Wan Abdul rahmanwangyu - feng abel ZhouAngela ZiebellJMRS审稿人可以选择将他们的同行评审贡献自动添加到Web of Science审稿人识别服务(以前的Publons)中。欲了解更多信息,请访问https://authorservices.wiley.com/Reviewers/journal-reviewers/recognition-for-reviewers/publons.htmlAre。您是进行和撰写同行评议的新手吗?看看这些免费的同行评议指南和免费的自主学习模块。威利杂志评论shttps://authorservices.wiley.com/Reviewers/journal-reviewers/index.htmlWiley研究员学院:所有你需要知道的成为一个有效的同行评议https://www.wileyresearcheracademy.com/p/all-you-need-to-know-to-become-an-effective-peer-reviewerWeb科学学院https://clarivate.com/webofsciencegroup/solutions/web-of-science-academy/
{"title":"Acknowledging the peer reviewers of Journal of Medical Radiation Sciences, October 2023–September 2024","authors":"","doi":"10.1002/jmrs.838","DOIUrl":"10.1002/jmrs.838","url":null,"abstract":"&lt;p&gt;The editorial review board, the Australian Society of Medical Imaging and Radiation Therapy (ASMIRT) and the New Zealand Institute of Medical Radiation Technology (NZIMRT) acknowledge the following peer reviewers for their dedication and commitment to the journal. Thank you for sharing your valuable time and knowledge.&lt;/p&gt;&lt;p&gt;James Stanley&lt;/p&gt;&lt;p&gt;Peter Kench&lt;/p&gt;&lt;p&gt;Amy Brown&lt;/p&gt;&lt;p&gt;Karen Dobeli&lt;/p&gt;&lt;p&gt;Georgia Halkett&lt;/p&gt;&lt;p&gt;Andrew Kilgour&lt;/p&gt;&lt;p&gt;Scott Jones&lt;/p&gt;&lt;p&gt;Chandra Makanjee&lt;/p&gt;&lt;p&gt;Martin Mitchell&lt;/p&gt;&lt;p&gt;Robba Rai&lt;/p&gt;&lt;p&gt;John Robinson&lt;/p&gt;&lt;p&gt;Clare Singh&lt;/p&gt;&lt;p&gt;Adam Steward&lt;/p&gt;&lt;p&gt;Francis Zarb&lt;/p&gt;&lt;p&gt;Dana Al-Mousa&lt;/p&gt;&lt;p&gt;Nigel Anderson&lt;/p&gt;&lt;p&gt;Marilyn Baird&lt;/p&gt;&lt;p&gt;Rachael Beldham-Collins&lt;/p&gt;&lt;p&gt;Pippa Bresser&lt;/p&gt;&lt;p&gt;Mikaela Dell'Oro&lt;/p&gt;&lt;p&gt;Victoria Earl&lt;/p&gt;&lt;p&gt;Ernest Ekpo&lt;/p&gt;&lt;p&gt;Sheryl Foster&lt;/p&gt;&lt;p&gt;Ziba Gandomkar&lt;/p&gt;&lt;p&gt;David Gilmore&lt;/p&gt;&lt;p&gt;Therese Gunn&lt;/p&gt;&lt;p&gt;Peter Hanna&lt;/p&gt;&lt;p&gt;Richard W. Harbron&lt;/p&gt;&lt;p&gt;James Hayes&lt;/p&gt;&lt;p&gt;Lynne Hazell&lt;/p&gt;&lt;p&gt;Bronwyn Hilder&lt;/p&gt;&lt;p&gt;Peter Hogg&lt;/p&gt;&lt;p&gt;Yobelli Jimenez&lt;/p&gt;&lt;p&gt;Gerhardus Koch&lt;/p&gt;&lt;p&gt;Gordon Mander&lt;/p&gt;&lt;p&gt;Kristie Matthews&lt;/p&gt;&lt;p&gt;Sibusiso Mdletshe&lt;/p&gt;&lt;p&gt;Martin Necas&lt;/p&gt;&lt;p&gt;Michael Neep&lt;/p&gt;&lt;p&gt;Jodie Nixon&lt;/p&gt;&lt;p&gt;Tracey Pieterse&lt;/p&gt;&lt;p&gt;William Rae&lt;/p&gt;&lt;p&gt;Oona Reardon&lt;/p&gt;&lt;p&gt;Meegan Shepherd&lt;/p&gt;&lt;p&gt;Zhonghua Sun&lt;/p&gt;&lt;p&gt;John Thompson&lt;/p&gt;&lt;p&gt;Kenton Thompson&lt;/p&gt;&lt;p&gt;Adrienne Young&lt;/p&gt;&lt;p&gt;Sarah Lewis&lt;/p&gt;&lt;p&gt;Kamarul Abdullah&lt;/p&gt;&lt;p&gt;Laura Adamson&lt;/p&gt;&lt;p&gt;Verity Ahern&lt;/p&gt;&lt;p&gt;Theophilus Akudjedu&lt;/p&gt;&lt;p&gt;Sophie Alexander&lt;/p&gt;&lt;p&gt;Tonima Ali&lt;/p&gt;&lt;p&gt;Haney Alsleem&lt;/p&gt;&lt;p&gt;Sally Ball&lt;/p&gt;&lt;p&gt;Luke Barclay&lt;/p&gt;&lt;p&gt;Stevens Barry&lt;/p&gt;&lt;p&gt;Salvatore Berlangieri&lt;/p&gt;&lt;p&gt;Eva Bezak&lt;/p&gt;&lt;p&gt;Anita Bowman&lt;/p&gt;&lt;p&gt;Robyn Brady&lt;/p&gt;&lt;p&gt;Vicki Braithwaite&lt;/p&gt;&lt;p&gt;Maura Brown&lt;/p&gt;&lt;p&gt;Rachel Burton&lt;/p&gt;&lt;p&gt;Gemma Busuttil&lt;/p&gt;&lt;p&gt;Ethan Butson&lt;/p&gt;&lt;p&gt;Ke Cao&lt;/p&gt;&lt;p&gt;Yasmin Casmod&lt;/p&gt;&lt;p&gt;Chelsea Castillo&lt;/p&gt;&lt;p&gt;Crispen Chamunyonga&lt;/p&gt;&lt;p&gt;Shayne Chau&lt;/p&gt;&lt;p&gt;Nahid Chegeni&lt;/p&gt;&lt;p&gt;Deanne Chester&lt;/p&gt;&lt;p&gt;Kabilan Chokkappan&lt;/p&gt;&lt;p&gt;Jillian Clarke&lt;/p&gt;&lt;p&gt;James Crowhurst&lt;/p&gt;&lt;p&gt;Jennifer Dang&lt;/p&gt;&lt;p&gt;Rob Davidson&lt;/p&gt;&lt;p&gt;Jenna Dean&lt;/p&gt;&lt;p&gt;Pradip Deb&lt;/p&gt;&lt;p&gt;Edel Doyle&lt;/p&gt;&lt;p&gt;Elisabeth Elder&lt;/p&gt;&lt;p&gt;Kirsten Elleray&lt;/p&gt;&lt;p&gt;Doaa Elwadia&lt;/p&gt;&lt;p&gt;Andrew England&lt;/p&gt;&lt;p&gt;Brendan Erskine&lt;/p&gt;&lt;p&gt;Hafsa Essop&lt;/p&gt;&lt;p&gt;Mel Evans&lt;/p&gt;&lt;p&gt;Andrew Firman&lt;/p&gt;&lt;p&gt;Alannah Flockton&lt;/p&gt;&lt;p&gt;Janniko Georgiadis&lt;/p&gt;&lt;p&gt;Nicola Giannotti&lt;/p&gt;&lt;p&gt;Gopinath Gnanasegaran&lt;/p&gt;&lt;p&gt;Frances Grey&lt;/p&gt;&lt;p&gt;Roshini Gunewardena&lt;/p&gt;&lt;p&gt;Catriona Hargrave&lt;/p&gt;&lt;p&gt;Patrick Horsley&lt;/p&gt;&lt;p&gt;Chamandra Kammies&lt;/p&gt;&lt;p&gt;Abel Karera&lt;/p&gt;&lt;p&gt;Alannah Kejda&lt;/p&gt;&lt;p&gt;Toni Kelly&lt;/p&gt;&lt;p&gt;Ben Kennedy&lt;/p&gt;&lt;p&gt;Thandokuhle Khoza&lt;/p&gt;&lt;p&gt;Scott King&lt;/p&gt;&lt;p&gt;Tracy Kirkbride&lt;/p&gt;&lt;p&gt;Caroline Landelle&lt;/p&gt;&lt;p&gt;Drew Latty&lt;/p&gt;&lt;p&gt;Andrew Le&lt;/p&gt;&lt;p&gt;Fiona Lee&lt;/p&gt;&lt;p&gt;Margot Lehman&lt;/p&gt;&lt;p&gt;Shantel Lewis&lt;/p&gt;&lt;p&gt;Gaorui Liu&lt;/p&gt;&lt;p&gt;Kelly Lloyd&lt;/p&gt;&lt;p&gt;Magdalena Lutaka&lt;/p&gt;&lt;p&gt;Vanathy Manivasahan&lt;/p&gt;&lt;p&gt;Sonyia McFadden&lt;/p&gt;&lt;p&gt;Lisa McGuire&lt;/p&gt;&lt;p&gt;Glenda McLean&lt;/p&gt;&lt;p&gt;Vaughan Moutrie&lt;/p&gt;&lt;p&gt;Andrew Murphy&lt;/p&gt;&lt;p&gt;Soma Nesan&lt;/p&gt;&lt;p&gt;Michelle O'Connor&lt;/p&gt;&lt;p&gt;Katrina O'Keefe&lt;/p&gt;&lt;p&gt;Peter O'Reilly&lt;/p&gt;&lt;p&gt;Craig Opie&lt;/p&gt;&lt;p&gt;Brooke Osborne&lt;/p&gt;&lt;p&gt;Sharon Oultram&lt;/p&gt;&lt;p&gt;Vanessa Panettieri&lt;/p&gt;&lt;p&gt;Eric Pei Ping Pang","PeriodicalId":16382,"journal":{"name":"Journal of Medical Radiation Sciences","volume":"71 4","pages":"618-620"},"PeriodicalIF":1.8,"publicationDate":"2024-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/jmrs.838","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769833","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
Sonographic localisation of lymph nodes suspicious of metastatic breast cancer to surgical axillary levels. 用超声波定位手术腋窝水平的可疑转移性乳腺癌淋巴结。
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-17 DOI: 10.1002/jmrs.840
Michelle Fenech, Tracey Burke, Grace Arnett, Alisha Tanner, Natasha Werder

The axillary lymph node (LN) burden of breast cancer patients guides multidisciplinary management and treatment regimes. Sonographic imaging is used to identify the presence, number and location of axillary LNs suspicious of malignancy and used to guide nodal fine needle aspirations and biopsies. Axillary LNs suspicious of harbouring breast cancer metastasis can be localised to three surgical axillary levels, numbered according to their location relative to the pectoralis minor muscle and lymph flow. To sonographically identify and localise suspicious axillary LNs, an understanding of the axillary anatomy, muscular sonographic landmarks, surgical axillary levels, and the sonographic technique to image and distinguish between benign and suspicious LNs is required.

乳腺癌患者的腋窝淋巴结(LN)负担可指导多学科管理和治疗方案。超声成像用于确定可疑恶性肿瘤的腋窝淋巴结的存在、数量和位置,并用于指导结节细针穿刺和活检。可疑乳腺癌转移的腋窝淋巴结可定位到三个外科腋窝水平,根据其与胸小肌和淋巴流的相对位置进行编号。要对可疑的腋窝淋巴结进行声像图识别和定位,需要了解腋窝解剖结构、肌肉声像图标志、外科腋窝层次以及声像图技术,以便对良性和可疑的淋巴结进行成像和区分。
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引用次数: 0
Impact of pre-examination video education in Gd-EOB-DTPA-enhanced liver MRI: A comparative study. Gd-EOB-DTPA 增强肝脏 MRI 检查前视频教育的影响:对比研究
IF 1.8 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2024-11-11 DOI: 10.1002/jmrs.833
Hongfang Huang, Chenhui Li, Zisan Zeng, Junli Liang

Introduction: Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality, and early diagnosis via gadolinium ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced magnetic resonance imaging (MRI) significantly impacts patient outcomes. However, patient anxiety during MRI can affect image quality. This study investigates the impact of pre-examination video education on anxiety, satisfaction and image quality in Gd-EOB-DTPA-enhanced liver MRI.

Methods: We prospectively enrolled 480 patients who underwent Gd-EOB-DTPA-enhanced liver MRI from January 2022 to May 2023 at our hospital. Patients were divided into study and control groups in order of odd and even days, with 240 cases in each group. Before the examination, the radiology staff provided routine verbal guidance and breathing training to the patients in the control group, while the study group was given additional video education. The state anxiety scores, satisfaction scores of the provided information and motion artefact scores of the images before and after the examination were compared between the two groups.

Results: The state anxiety scores of both groups of patients were lower than before the examination (all P < 0.05), but the change value of the study group was significantly greater than that of the control group (P = 0.004). The satisfaction rate of the information provided before the scan in the study group was significantly higher (P < 0.001). The image quality scores of the arterial phase were similar between the two groups (P = 0.403), but the image quality of the study group in the pre-contrast, portal phase, transitional phase and hepatobiliary phase was significantly better than that of the control group (all P < 0.05).

Conclusion: Supplementing routine pre-scan care with video guidance for Gd-EOB-DTPA-enhanced liver MRI offers several benefits, including reduced patient anxiety, increased satisfaction and improved image quality. These results suggest the potential for widespread application of video-based interventions to enhance the MRI experience for patients.

简介肝细胞癌(HCC)是癌症相关死亡的主要原因,通过钆乙氧苄基-二乙烯三胺五乙酸(Gd-EOB-DTPA)增强磁共振成像(MRI)进行早期诊断可显著改善患者的预后。然而,核磁共振成像过程中患者的焦虑会影响成像质量。本研究探讨了检查前视频教育对 Gd-EOB-DTPA 增强肝脏 MRI 的焦虑、满意度和图像质量的影响:我们前瞻性地招募了 480 名于 2022 年 1 月至 2023 年 5 月在我院接受 Gd-EOB-DTPA 增强肝脏 MRI 检查的患者。按照单双日顺序将患者分为研究组和对照组,每组 240 例。检查前,放射科医护人员对对照组患者进行常规口头指导和呼吸训练,研究组患者则进行额外的视频教育。对两组患者检查前后的状态焦虑评分、对所提供信息的满意度评分和图像的运动伪影评分进行比较:结果:两组患者的状态焦虑评分均低于检查前(均为 P 结论:两组患者的状态焦虑评分均低于检查前(均为 P 结论:两组患者的状态焦虑评分均低于检查前):在 Gd-EOB-DTPA 增强肝脏 MRI 扫描前常规护理中辅以视频引导可带来多种益处,包括减轻患者焦虑、提高满意度和改善图像质量。这些结果表明,基于视频的干预措施有可能得到广泛应用,从而改善患者的磁共振成像体验。
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引用次数: 0
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Journal of Medical Radiation Sciences
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