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Primary orbital hydatid cyst in a child. 儿童原发性眼眶包虫病。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-12-02 DOI: 10.1007/s00247-025-06486-x
Mehmet Atalar
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引用次数: 0
Long-segment internal carotid artery dolichoectasia: a rare cause of pulsatile neck mass. 长段颈内动脉过度扩张:搏动性颈部肿块的罕见病因。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2026-01-06 DOI: 10.1007/s00247-025-06496-9
Mehmet Atalar
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引用次数: 0
Dynamic ultrasound evaluation of morphological and functional urinary tract characteristics in newborns and young infants with myelomeningocele. 新生儿和婴幼儿髓膜脊膜膨出的尿路形态和功能特征的动态超声评价。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-11-06 DOI: 10.1007/s00247-025-06439-4
Jovita Lane Soares Santos Zanini, Eduardo Maia Martins Pereira, Pedro Alves Soares Vaz de Castro, Maria Francisca Tereza Freire Filgueiras, Maria Fernanda Oliveira Lima, Gabriela Vieira Marques Costa Leão, Maria Elisa Neto Araujo, Jesiana Ferreira Pedrosa, Ana Cristina Simões E Silva

Background: Neurogenic bladder is a frequent complication in newborns with myelomeningocele (MMC), increasing the risk of urinary dysfunction and renal injury. Although urodynamic studies are the standard for evaluation, their invasiveness limits their use in neonates and young infants. Dynamic ultrasound offers a potential non-invasive tool for assessing the morphology and function of the urinary tract in these patients.

Objective: To evaluate dynamic ultrasound findings in neonates and young infants with MMC compared to healthy controls.

Materials and methods: This cross-sectional study used dynamic ultrasound to examine the urinary tract characteristics of patients with MMC and controls. The parameters evaluated included bladder wall thickness, bladder capacity, post-void residual volume, detrusor activity, and signs of elevated intravesical pressure, such as urinary leakage, filling of pseudodiverticula, reduction in ureteral emptying, and enlargement of the pelvicalyceal system dimensions during detrusor contractions.

Results: Patients with MMC (n=41) had a mean age of 24.9±13.8 days old (56% males), while controls (n=45) had a mean age of 32.9±17.5 days old (73% males). Compared to healthy controls, MMC patients exhibited significantly higher post-void residual volume and bladder wall thickness, even after adjusting for body weight. Involuntary detrusor contractions were observed in 76% of MMC cases.

Conclusion: Newborns with MMC exhibited distinct bladder characteristics on dynamic ultrasound compared to healthy controls, suggesting potential usefulness of dynamic ultrasound for evaluating these patients. However, additional validation is needed because of the examiner-dependent nature of ultrasound, small sample size, and lack of comparison with urodynamic studies.

背景:神经源性膀胱是新生儿髓脊膜膨出(MMC)的常见并发症,增加了尿功能障碍和肾损伤的风险。虽然尿动力学研究是评估的标准,但其侵入性限制了其在新生儿和幼儿中的应用。动态超声为评估这些患者的尿路形态和功能提供了一种潜在的非侵入性工具。目的:评价新生儿和婴幼儿MMC与健康对照组的动态超声表现。材料和方法:本横断面研究采用动态超声检查MMC患者和对照组的尿路特征。评估的参数包括膀胱壁厚度、膀胱容量、空后残留体积、逼尿肌活动、膀胱内压力升高的迹象,如尿漏、假憩室充盈、输尿管排空减少、逼尿肌收缩时骨盆系统尺寸增大。结果:MMC患者(n=41)的平均年龄为24.9±13.8天(56%男性),而对照组(n=45)的平均年龄为32.9±17.5天(73%男性)。与健康对照组相比,MMC患者即使在调整体重后,仍表现出明显更高的空后残留体积和膀胱壁厚度。在76%的MMC病例中观察到非自愿逼尿肌收缩。结论:与健康对照组相比,MMC新生儿动态超声显示出明显的膀胱特征,提示动态超声对这些患者的评估可能有用。然而,由于超声依赖于检查者的性质,样本量小,缺乏与尿动力学研究的比较,需要额外的验证。
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引用次数: 0
Towards automated fetal brain biometry reporting for 3-dimensional T2-weighted 0.55-3T magnetic resonance imaging at 20-40 weeks gestational age range. 在20-40周胎龄范围内进行三维t2加权0.55-3T磁共振成像的自动胎儿脑生物测定报告。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-11-14 DOI: 10.1007/s00247-025-06403-2
Aysha Luis, Alena Uus, Jacqueline Matthew, Sophie Arulkumaran, Alexia Egloff Collado, Vanessa Kyriakopoulou, Sara Neves Silva, Jordina Aviles Verdera, Megan Hall, Simi Bansal, Sarah McElroy, Kathleen Colford, Jo Hajnal, Jana Hutter, Lisa Story, Mary Rutherford
<p><strong>Background: </strong>The detailed assessment of fetal brain maturation and development involves morphological evaluation, gyration analysis, and reliable biometric measurements. Manual measurements on conventional 2-D magnetic resonance imaging (MRI) are affected by fetal motion, and there is no clear consensus regarding definitions for brain biometric parameters and anatomical landmark placements, making consistent reference plane and slice selection challenging. Automated biometry with 3-D slice-to-volume reconstruction (SVR) has the potential to improve the reliability of derived measurements, allowing precise quantification of fetal brain development. Previous published works have primarily focused on the technical feasibility of automated fetal brain biometry methods for T2-weighted (T2W) MRI. However, none have proposed solutions for automating the reporting of biometry results, which could enhance clinical utility and support real-time integration into routine clinical workflows. Furthermore, there is no consensus on a universal fetal biometry protocol for 3-D fetal MRI.</p><p><strong>Objective: </strong>To implement and validate a fully automated biometry reporting pipeline for 3-D T2W fetal brain MRI, based on deep learning biometry measurements and computation of z-scores and centiles, by comparison to normative growth charts.</p><p><strong>Materials and methods: </strong>Automated extraction of 13 routinely reported linear fetal biometry measurements using deep learning localization of anatomical landmarks in 3-D reconstructed T2W brain images based on 3-D UNet and presentation of the results in an .html report with centile calculation. The automated biometry method was quantitatively evaluated on 90 retrospective cases against expert manual measurements. Additionally, the fully automated, end-to-end biometry reporting pipeline was prospectively evaluated on 111 cases across a wide range of gestational ages, field strengths, and scanning parameters. We also generated normal centile ranges for 19-40 weeks GA range from 406 normal control datasets.</p><p><strong>Results: </strong>The retrospective quantitative evaluation demonstrated good agreement with manual measurements, with the maximum absolute difference between automated vs. manual measurement within a 1-3-mm range. In the prospective evaluation, more than 98% of landmark placements were graded as acceptable for interpretation and measurements. The processing time of the pipeline was less than 5 min per case, with measurements and centiles available at the time of reporting. Inspection of the automated landmark placement and computed biometrics took 1-3 min per case. The generated normative growth charts demonstrate strong correlation with the trends in the previously reported works.</p><p><strong>Conclusion: </strong>Our approach is the first to develop a fully automated biometry reporting pipeline for 3-D T2-weighted fetal MRI which integrates deep learning-based meas
背景:胎儿大脑成熟和发育的详细评估包括形态学评估、旋转分析和可靠的生物测量。传统二维磁共振成像(MRI)的人工测量受到胎儿运动的影响,并且对于脑生物特征参数和解剖地标位置的定义没有明确的共识,使得一致的参考平面和切片选择具有挑战性。带有3-D切片-体积重建(SVR)的自动生物计量技术有可能提高衍生测量的可靠性,允许对胎儿大脑发育进行精确量化。先前发表的作品主要集中在用于t2加权(T2W) MRI的自动胎儿脑生物测量方法的技术可行性上。然而,没有人提出自动化报告生物测量结果的解决方案,这可以提高临床效用并支持实时集成到常规临床工作流程中。此外,对于3d胎儿MRI的通用胎儿生物测定方案还没有达成共识。目的:通过与标准生长图的比较,实现并验证基于深度学习生物测量和z分数和百分位数计算的3d T2W胎儿脑MRI全自动生物测量报告管道。材料和方法:利用基于3d UNet的三维重建T2W脑图像的解剖标志的深度学习定位,自动提取13例常规报告的线性胎儿生物测量数据,并将结果呈现在带有位数计算的.html报告中。在90例回顾性病例中对自动生物测量方法进行了定量评估,与专家手工测量结果进行了对比。此外,对111例患者进行了全自动化的端到端生物识别报告流程的前瞻性评估,这些患者的胎龄、场强度和扫描参数都很广。我们还从406个正常对照数据集中生成了19-40周GA范围的正常百分位范围。结果:回顾性定量评估显示与人工测量结果很好地吻合,在1-3毫米范围内,自动测量与人工测量之间的最大绝对差异。在前瞻性评估中,超过98%的地标放置被评为可接受的解释和测量。管道的处理时间在每个案例中不到5分钟,在报告时可以获得测量和百分位数。每个病例的自动地标放置和计算机生物识别检查耗时1-3分钟。生成的标准增长图表显示与先前报道的作品中的趋势有很强的相关性。结论:我们的方法是第一个为3-D t2加权胎儿MRI开发全自动生物计量报告管道,该管道集成了基于深度学习的测量,百分位和z分数计算与规范生长图表和报告生成。
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引用次数: 0
Newborn with giant bilateral chest wall lymphangioma. 新生儿巨大双侧胸壁淋巴管瘤。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-12-11 DOI: 10.1007/s00247-025-06491-0
Suat Eren, Yener Aydin
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引用次数: 0
AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN. 人工智能在儿童放射学中的应用:来自ACR、ESPR、SPR、SLARP、AOSPR、SPIN的多社会声明。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-11-25 DOI: 10.1007/s00247-025-06386-0
Susan C Shelmerdine, Jaishree Naidoo, Brendan S Kelly, Lene Bjerke Laborie, Seema Toso, Tugba Akinci D'Antonoli, Owen J Arthurs, Steven L Blumer, Pierluigi Ciet, Maria Beatrice Damasio, Andrea S Doria, Saira Haque, Mai-Lan Ho, Theirry Agm Huisman, Aparna Joshi, Jeevesh Kapur, Kshitij Mankad, Amaka C Offiah, Hansel Otero, Erika Pace, Tom Semple, Kushaljit Singh Sodhi, Sebastian Tschauner, Carlos F Ugas-Charcape, Dhananjaya K Vamyanmane, Rick R van Rijn, Diana Veiga-Canuto, Matthias W Wagner, Evan J Zucker, Marla Sammer

Artificial intelligence (AI) has potential to revolutionize radiology, yet current solutions and guidelines are predominantly focused on adult populations, often overlooking the specific requirements of children. This is important because children differ significantly from adults in terms of physiology, developmental stages, and clinical needs, necessitating tailored approaches for the safe and effective integration of AI tools. This multi-society position statement systematically addresses four critical pillars of AI adoption: (1) regulation and purchasing, (2) implementation and integration, (3) interpretation and post-market surveillance, and (4) education. We propose pediatric-specific safety ratings, inclusion of datasets from diverse pediatric populations, quantifiable transparency metrics, and explainability of models to mitigate biases and ensure AI systems are appropriate for use in children. Risk assessment, dataset diversity, transparency, and cybersecurity are important steps in regulation and purchasing. For successful implementation, a phased strategy is recommended, involving early pilot testing, stakeholder engagement, and comprehensive post-market surveillance with continuous monitoring of defined performance benchmarks. Clear protocols for managing discrepancies and adverse incident reporting are essential to maintain trust and safety. Moreover, we emphasize the need for foundational AI literacy courses for all healthcare professionals which include pediatric safety considerations, alongside specialized training for those directly involved in pediatric imaging. Public and patient engagement is crucial to foster understanding and acceptance of AI in pediatric radiology. Ultimately, we advocate for a child-centered framework for AI integration, ensuring that the distinct needs of children are prioritized and that their safety, accuracy, and overall well-being are safeguarded.

人工智能(AI)有可能彻底改变放射学,但目前的解决方案和指南主要侧重于成人人群,往往忽视了儿童的具体要求。这一点很重要,因为儿童在生理、发育阶段和临床需求方面与成人有很大不同,因此需要量身定制的方法来安全有效地整合人工智能工具。这份多社会立场声明系统地解决了人工智能采用的四个关键支柱:(1)监管和采购,(2)实施和整合,(3)解释和上市后监督,以及(4)教育。我们提出了针对儿科的安全评级、纳入来自不同儿科人群的数据集、可量化的透明度指标以及模型的可解释性,以减轻偏见并确保人工智能系统适用于儿童。风险评估、数据集多样性、透明度和网络安全是监管和采购的重要步骤。为了成功实施,建议采取分阶段战略,包括早期试点测试、利益相关者参与和全面的上市后监督,并持续监测确定的绩效基准。管理差异和不良事件报告的明确协议对于维护信任和安全至关重要。此外,我们强调需要为所有医疗保健专业人员提供基础人工智能素养课程,其中包括儿科安全考虑因素,以及直接参与儿科成像的人员的专业培训。公众和患者的参与对于促进儿童放射学对人工智能的理解和接受至关重要。最终,我们主张建立一个以儿童为中心的人工智能整合框架,确保儿童的独特需求得到优先考虑,并保障他们的安全、准确性和整体福祉。
{"title":"AI implementation in pediatric radiology for patient safety: a multi-society statement from the ACR, ESPR, SPR, SLARP, AOSPR, SPIN.","authors":"Susan C Shelmerdine, Jaishree Naidoo, Brendan S Kelly, Lene Bjerke Laborie, Seema Toso, Tugba Akinci D'Antonoli, Owen J Arthurs, Steven L Blumer, Pierluigi Ciet, Maria Beatrice Damasio, Andrea S Doria, Saira Haque, Mai-Lan Ho, Theirry Agm Huisman, Aparna Joshi, Jeevesh Kapur, Kshitij Mankad, Amaka C Offiah, Hansel Otero, Erika Pace, Tom Semple, Kushaljit Singh Sodhi, Sebastian Tschauner, Carlos F Ugas-Charcape, Dhananjaya K Vamyanmane, Rick R van Rijn, Diana Veiga-Canuto, Matthias W Wagner, Evan J Zucker, Marla Sammer","doi":"10.1007/s00247-025-06386-0","DOIUrl":"10.1007/s00247-025-06386-0","url":null,"abstract":"<p><p>Artificial intelligence (AI) has potential to revolutionize radiology, yet current solutions and guidelines are predominantly focused on adult populations, often overlooking the specific requirements of children. This is important because children differ significantly from adults in terms of physiology, developmental stages, and clinical needs, necessitating tailored approaches for the safe and effective integration of AI tools. This multi-society position statement systematically addresses four critical pillars of AI adoption: (1) regulation and purchasing, (2) implementation and integration, (3) interpretation and post-market surveillance, and (4) education. We propose pediatric-specific safety ratings, inclusion of datasets from diverse pediatric populations, quantifiable transparency metrics, and explainability of models to mitigate biases and ensure AI systems are appropriate for use in children. Risk assessment, dataset diversity, transparency, and cybersecurity are important steps in regulation and purchasing. For successful implementation, a phased strategy is recommended, involving early pilot testing, stakeholder engagement, and comprehensive post-market surveillance with continuous monitoring of defined performance benchmarks. Clear protocols for managing discrepancies and adverse incident reporting are essential to maintain trust and safety. Moreover, we emphasize the need for foundational AI literacy courses for all healthcare professionals which include pediatric safety considerations, alongside specialized training for those directly involved in pediatric imaging. Public and patient engagement is crucial to foster understanding and acceptance of AI in pediatric radiology. Ultimately, we advocate for a child-centered framework for AI integration, ensuring that the distinct needs of children are prioritized and that their safety, accuracy, and overall well-being are safeguarded.</p>","PeriodicalId":19755,"journal":{"name":"Pediatric Radiology","volume":" ","pages":"243-256"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145605438","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Ultrasound evaluation of pediatric lymphadenopathies: diagnostic patterns and pitfalls. 小儿淋巴结病的超声评估:诊断模式和陷阱。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-12-23 DOI: 10.1007/s00247-025-06490-1
Georgios A Sideris, Madeline Stever, Mansha Khubchandani, Ziyu Xian, Michael J Callahan, Joseph Makris

Palpable lymph nodes are among the most common indications for ultrasound evaluation in the pediatric population. Ultrasound provides valuable insight into nodal composition by assessing greyscale morphology, color Doppler vascularity, and vascular resistance, with emerging techniques such as elastography and contrast-enhanced ultrasound offering additional diagnostic potential. Although certain sonographic features may suggest a benign or malignant etiology, imaging overlap often exists posing diagnostic challenges. This review provides an overview of the sonographic appearance of the most common pediatric lymphadenopathies, including reactive hyperplasia, bacterial and viral lymphadenitis, necrotizing and granulomatous lymphadenitis, malignant and atypical entities. Characteristic and non-specific imaging features are discussed, along with practical approaches to interpretation and current strategies for diagnosis and management.

可触及的淋巴结是其中最常见的指征超声评估儿科人口。超声通过评估灰度形态、彩色多普勒血管分布和血管阻力,为淋巴结组成提供了有价值的见解,而弹性成像和对比增强超声等新兴技术提供了额外的诊断潜力。虽然某些超声特征可能提示良性或恶性病因,但影像学重叠经常存在,给诊断带来挑战。本文综述了最常见的小儿淋巴结病的超声表现,包括反应性增生、细菌性和病毒性淋巴结炎、坏死性和肉芽肿性淋巴结炎、恶性和非典型淋巴结。特征性和非特异性的影像特征将被讨论,以及实际的解释方法和当前的诊断和管理策略。
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引用次数: 0
Diagnostic performance of ultrasound guided salivary gland core needle biopsy and fine needle aspiration in children. 超声引导下儿童唾液腺芯针活检和细针抽吸的诊断价值。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-10-16 DOI: 10.1007/s00247-025-06424-x
Vicente Oliveira, Anthea Lafrenière, Nikolaus Wolter, Joao Amaral, Alessandro Gasparetto, Dimitri Parra Rojas

Background: Ultrasound-guided biopsies of the salivary glands in pediatric patients are uncommon and can target focal lesions or general parenchyma. Based on open surgical biopsy, 65% of focal lesions have been described as benign. Ultrasound-guided biopsy offers a less invasive initial diagnostic approach.

Objective: The aims of this study were to assess the diagnostic accuracy and describe indications for ultrasound-guided salivary gland core needle biopsy (CNB) and fine needle aspiration (FNA) in a pediatric cohort.

Materials and methods: Retrospective single-center study including children who underwent salivary gland biopsy at a tertiary care center from January 2018 to January 2025. Demographics, clinical information, imaging, lesion location, procedure details, adverse events, pathology, and clinical outcomes were reviewed. A descriptive statistical analysis was performed.

Results: The study included 31 children aged 5 months to 17-years-old. The parotid was targeted in 21/31 (68%) and the submandibular in 10/31 (32%). CNB was done in 19/31 patients, 11/31 had a CNB and FNA, and 1/31 FNA only. CNB was diagnostic in 29/30 and FNA in 8/12. When both techniques were used, pathological findings were the same in 7/11. The most common diagnosis was pleomorphic adenoma (n=6). All CNB in cases of malignancy (n=10) were diagnostic. The non-diagnostic case identified was a dermoid cyst in surgery. Nine patients had surgical resections, and the results were consistent with the ultrasound-guided biopsy. No adverse events were identified.

Conclusion: Ultrasound-guided CNB showed a high diagnostic performance, superior to FNA, in this salivary gland biopsies pediatric cohort.

背景:超声引导下的小儿唾液腺活检并不常见,可以针对局灶性病变或一般实质。基于开放性手术活检,65%的局灶性病变被描述为良性。超声引导活检提供了一种侵入性较小的初始诊断方法。目的:本研究的目的是评估超声引导下唾液腺核心针活检(CNB)和细针穿刺(FNA)在儿科队列中的诊断准确性和适应症。材料和方法:回顾性单中心研究,纳入2018年1月至2025年1月在三级保健中心接受唾液腺活检的儿童。我们回顾了人口统计学、临床信息、影像学、病变位置、手术细节、不良事件、病理和临床结果。进行描述性统计分析。结果:该研究包括31名5个月至17岁的儿童。腮腺是21/31(68%),下颌骨是10/31(32%)。19/31例患者行CNB, 11/31例同时行CNB和FNA, 1/31例仅行FNA。29/30诊断为CNB, 8/12诊断为FNA。当这两种技术被使用时,7/11的病理结果是相同的。最常见的诊断是多形性腺瘤(n=6)。所有恶性CNB病例(n=10)均为诊断性。确诊的非诊断性病例是手术中的皮样囊肿。9例患者行手术切除,结果与超声引导下的活检一致。未发现不良事件。结论:超声引导下的CNB在小儿唾液腺活检中具有较高的诊断效能,优于FNA。
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引用次数: 0
The apparent diffusion coefficient as a potential radiological biomarker of malignant transformation in retinoblastoma: a case report. 视扩散系数作为视网膜母细胞瘤恶性转化的潜在放射学生物标志物:1例报告。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-11-18 DOI: 10.1007/s00247-025-06451-8
Sonia De Francesco, Paolo Galluzzi, Tommaso Padula, Giovanni Rubegni, Pierluigi De Marzo, Mario Fruschelli, Doris Hadjistilianou

We report a unique case of malignant transformation in a retinocytoma monitored using magnetic resonance imaging (MRI). This case is notable for a distinct drop in apparent diffusion coefficient (ADC) values that correlated with clinical transformation to retinoblastoma. This is the first report to highlight a change in ADC as a radiological marker of malignant conversion in retinocytoma. This finding suggests the potential role of ADC in prognostic assessment and risk stratification for patients with retinocytoma.

我们报告一个独特的情况下恶性转化的视网膜细胞瘤监测使用磁共振成像(MRI)。该病例的明显弥散系数(ADC)值的下降与临床向视网膜母细胞瘤的转变有关。这是第一个强调ADC变化作为视网膜细胞瘤恶性转化的放射学标志的报告。这一发现提示ADC在视网膜细胞瘤患者的预后评估和风险分层中的潜在作用。
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引用次数: 0
Weekly virtual case review series: supplementing pediatric radiology education for a global community of trainees. 每周虚拟病例回顾系列:为全球受训人员社区补充儿科放射学教育。
IF 2.3 3区 医学 Q2 PEDIATRICS Pub Date : 2026-02-01 Epub Date: 2025-11-11 DOI: 10.1007/s00247-025-06464-3
Raisa Amiruddin, Bethelhem Belachew, Mohammad Jalloul, Hermon Miliard Derbew, Monica Miranda-Schaeubinger, Sydney Wieczkowski, Yadel Mekete, Janet R Reid, Youck Jen Siu Navarro, Abass Noor, Kassa Darge, Hansel J Otero
{"title":"Weekly virtual case review series: supplementing pediatric radiology education for a global community of trainees.","authors":"Raisa Amiruddin, Bethelhem Belachew, Mohammad Jalloul, Hermon Miliard Derbew, Monica Miranda-Schaeubinger, Sydney Wieczkowski, Yadel Mekete, Janet R Reid, Youck Jen Siu Navarro, Abass Noor, Kassa Darge, Hansel J Otero","doi":"10.1007/s00247-025-06464-3","DOIUrl":"10.1007/s00247-025-06464-3","url":null,"abstract":"","PeriodicalId":19755,"journal":{"name":"Pediatric Radiology","volume":" ","pages":"473-476"},"PeriodicalIF":2.3,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145496087","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","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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Pediatric Radiology
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