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Using sunrise to surmise acute transient patellar dislocation. 利用日出推测急性短暂性髌骨脱位。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-28 DOI: 10.1007/s10140-026-02444-8
Mitchel Misfeldt, Samuel Hund, Luke Frager, John Waddell, Bradley Estes, Tevyn Pak, Kate Young, Carissa Walter, Jamie Crist

Purpose: To determine if there is a comparative measurement on bilateral sunrise view radiographs that can help predict acute transient patellar dislocation (ATPD).

Methods: A retrospective chart review from a single institution was conducted of two patient groups, a case group with ATPD diagnosed by MRI, and a control group with knee injury not involving the patella or medial retinaculum. Three readers blinded to the MRI diagnosis reviewed the sunrise view radiographs and reported three values for both knees: (1) medial trochlea - medial patella distance (MT-MP); (2) lateral trochlea -medial patella distance (LT-MP); and (3) medial patellofemoral angle (MPFA), (Image 2). Diagnostic accuracy was assessed utilizing empirical ROC curves and their corresponding area under the curves (AUC). Inter-reader reliability was determined using intraclass correlation coefficients (ICC). Sensitivity and specificity were calculated for varying differences in MPFA and MT-MP between affected knee and unaffected knee.

Results: Of the three measurements, increased MPFA measured on the injured knee was the most accurate predictor of ATPD with substantial inter-reader reliability (AUC 0.765, ICC 0.681). MT-MP (AUC 0.707, ICC 0.586) and LT-MP (AUC 0.593, 0.189) distances were less accurate and less reliable predictors. Asymmetric difference in the MPFA or MT-MP between affected knee and unaffected knee was a very specific, albeit not sensitive indicator of ATPD.

Conclusion: Comparative sunrise view knee radiographs can help predict the diagnosis of ATPD with high specificity, prompting early MRI evaluation for definitive diagnosis, helping expedite treatment planning.

目的:确定是否有比较测量双侧日出位片可以帮助预测急性短暂性髌骨脱位(ATPD)。方法:对来自某一机构的两组患者进行回顾性图表回顾,一组是通过MRI诊断为ATPD的病例组,另一组是不累及髌骨或内侧支持带的膝关节损伤对照组。三名对MRI诊断不知情的读者回顾了日出位x线片,并报告了双膝的三个值:(1)滑车内侧-髌骨内侧距离(MT-MP);(2)滑车外侧-髌骨内侧距离(LT-MP);(3)髌股内侧角(MPFA),(图2)。利用经验ROC曲线及其对应的曲线下面积(AUC)评估诊断准确性。使用类内相关系数(ICC)确定读者间信度。计算受影响膝关节和未受影响膝关节之间MPFA和MT-MP差异的敏感性和特异性。结果:在三项测量中,损伤膝盖上MPFA的增加是ATPD最准确的预测因子,具有较高的阅读器间可靠性(AUC 0.765, ICC 0.681)。MT-MP (AUC为0.707,ICC为0.586)和LT-MP (AUC为0.593,0.189)距离预测精度较低,可靠性较差。受影响膝关节和未受影响膝关节之间MPFA或MT-MP的不对称差异是ATPD的一个非常具体的指标,尽管不是敏感指标。结论:比较日出位膝关节x线片对ATPD的诊断有较高的特异性,提示早期MRI评估明确诊断,有助于加快治疗计划。
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引用次数: 0
Identifying the diagnostic utility of artificial intelligence for elbow effusion detection: A systematic review and meta-analysis. 确定人工智能在肘部积液检测中的诊断效用:系统回顾和荟萃分析。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-25 DOI: 10.1007/s10140-026-02445-7
Alexis R Chow, Jonathan Elias, Kunal Shah, Robert Ablove, Sean Mcmillan
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引用次数: 0
Diagnosis of acute appendicitis at a pediatric emergency department within a general hospital. 在综合医院儿科急诊科诊断急性阑尾炎。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-24 DOI: 10.1007/s10140-026-02442-w
Cade A Johnson, Catherine M Pivalizza, Hei Kit Chan, Hannah Smith, Megan K Long, Robert Lapus, KuoJen Tsao, Susan John, Irma T Ugalde
{"title":"Diagnosis of acute appendicitis at a pediatric emergency department within a general hospital.","authors":"Cade A Johnson, Catherine M Pivalizza, Hei Kit Chan, Hannah Smith, Megan K Long, Robert Lapus, KuoJen Tsao, Susan John, Irma T Ugalde","doi":"10.1007/s10140-026-02442-w","DOIUrl":"https://doi.org/10.1007/s10140-026-02442-w","url":null,"abstract":"","PeriodicalId":11623,"journal":{"name":"Emergency Radiology","volume":" ","pages":""},"PeriodicalIF":1.3,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147282987","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
Computed tomography scan evaluation of Globe rupture using a novel mnemonic : a single center experience. 使用一种新的记忆法:单中心经验对Globe破裂的计算机断层扫描评价。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-21 DOI: 10.1007/s10140-025-02435-1
Ruba Khasawneh, Ammar Hajij, Nour Abdo, Yazan O Alzu'bi, Bashar Al-Shalabi, Ahmed H Al Sharie, Firas A Khasawneh, Mohammad Z Mohaidat

Objective: Globe rupture presents a diagnostic challenge because of potentially vision-threatening outcomes. Although computed tomography (CT) is critical for assessment, a structured interpretation approach is often lacking. This study introduces the novel "FLAP CONE" mnemonic to assist radiologists in evaluating globe rupture.

Methods: This was a retrospective study of 143 patients (151 eyes) with suspected globe rupture between January 2015 and December 2020. The male-to-female ratio was 3:1, with a median age of 22 years. Demographics and mechanisms of injury were recorded. CT scans were independently reviewed by two radiologists using the FLAP CONE mnemonic, encompassing Fractures/Foreign bodies, scleral Lacerations/Lens abnormalities, Anterior chamber changes, Posterior segment abnormalities, eye Contour distortion, Orbital apex hematoma, Neurovascular bundle abnormalities, and Extraocular muscles (EOM)/Emphysema. Findings were documented as binary variables. The diagnostic accuracy, sensitivity, specificity, and interobserver agreement (κ) were calculated.

Results: Sharp objects (39%) and falls (25%) were the leading causes of penetrating and blunt trauma, respectively. Use of the mnemonic achieved 91.9% diagnostic accuracy, with 88.3% sensitivity and 98.5% specificity. Orbital emphysema (43%) was the most frequent finding. Postseptal foreign body and the "flat tire" sign were associated with the highest diagnostic performance (sensitivity of 100% and 97.2%, respectively; specificity, 100%; and PPV, 100%). Kappa values ranged from 0.15 (orbital apex hematoma) to 1.0 (postseptal foreign body), with an overall κ = 0.85. Four clinically confirmed ruptures were missed because of subtle scleral defects and the presence of intraocular gas.

Conclusion: The FLAP CONE mnemonic demonstrates excellent diagnostic accuracy and interobserver reliability, providing a systematic and efficient approach to the CT evaluation of globe rupture.

目的:眼球破裂提出了诊断挑战,因为潜在的视力威胁的结果。尽管计算机断层扫描(CT)对评估至关重要,但通常缺乏结构化的解释方法。本研究介绍了一种新的“皮瓣锥”助记器,以协助放射科医生评估球破裂。方法:对2015年1月至2020年12月143例(151眼)疑似眼球破裂患者进行回顾性研究。男女比例为3:1,中位年龄为22岁。记录损伤的人口统计和机制。CT扫描由两名放射科医生使用FLAP CONE助记器独立复查,包括骨折/异物、巩膜撕裂伤/晶状体异常、前房改变、后段异常、眼轮廓畸变、眶尖血肿、神经血管束异常和眼外肌(EOM)/肺气肿。结果被记录为二元变量。计算诊断准确性、敏感性、特异性和观察者间一致性(κ)。结果:锐利物体(39%)和跌落(25%)分别是穿透性和钝性创伤的主要原因。使用助记器诊断准确率为91.9%,敏感性为88.3%,特异性为98.5%。眼眶肺气肿(43%)是最常见的发现。室间隔后异物和“爆胎”征象与最高的诊断效能相关(敏感性分别为100%和97.2%;特异性为100%;PPV为100%)。Kappa值从0.15(眶尖血肿)到1.0(隔后异物),总体κ = 0.85。4例临床证实的破裂由于巩膜的细微缺损和眼内气体的存在而被遗漏。结论:FLAP CONE助记器具有良好的诊断准确性和观察者之间的可靠性,为球破裂的CT评估提供了系统有效的方法。
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引用次数: 0
Is pre-operative computed tomography mandatory in the workup of open globe injuries? 开放球损伤的术前计算机断层扫描是强制性的吗?
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-20 DOI: 10.1007/s10140-026-02439-5
Rawan Hosny, Maha Saad, Rana Shebl, Taha Mokdad, Mohamed Hosny, Mohamed Anis
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引用次数: 0
Acute thoracic aortic dissection, A radiological approach from a surgical perspective. 急性胸主动脉夹层,从外科角度的放射学方法。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-16 DOI: 10.1007/s10140-026-02440-y
Laura Tello Arnas, José Carlos Romero Carmona, Jorge Rey Porras, Silvia Osaba Velez, Aurea Díez Tascón, Maria Luz Parra Gordo, Felipe Munera, Milagros Martí de Gracia
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引用次数: 0
Augmenting CT evaluation of primary small bowel malignancies: The role of cinematic rendering. 原发性小肠恶性肿瘤的增强CT评价:电影渲染的作用。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-10 DOI: 10.1007/s10140-026-02443-9
Zahra F Rahmatullah, Satomi Kawamoto, Elliot K Fishman

Primary small bowel malignancies are rare, often presenting with nonspecific symptoms or as acute emergencies, which can delay diagnosis. Contrast-enhanced CT is the primary imaging modality in the emergency setting, but detection and characterization of small bowel tumors remain challenging. Cinematic rendering (CR) is a recently developed three-dimensional post-processing technique that produces photorealistic images from CT data, enhancing visualization of small bowel pathology. This pictorial review outlines the CT imaging features of major small bowel malignancies, including adenocarcinoma, carcinoid tumor, gastrointestinal stromal tumor, lymphoma, and sarcoma, and describes features that highlight the utility of CR in augmenting traditional imaging. CR offers improved visualization of mucosal abnormalities, tumor extent, vascular involvement, and textural differences, potentially increasing diagnostic confidence, supporting presurgical planning, and facilitating communication among clinicians and patients. By emphasizing the added value of CR, we aim to provide radiologists with practical guidance for identifying small bowel neoplasms and suggest that integrating advanced 3D visualization into routine CT evaluation can support timely diagnosis and management in acute care settings.

原发性小肠恶性肿瘤是罕见的,通常表现为非特异性症状或急性急诊,这可能延误诊断。对比增强CT是紧急情况下的主要成像方式,但小肠肿瘤的检测和表征仍然具有挑战性。电影渲染(CR)是最近发展起来的一种三维后处理技术,可以从CT数据中产生逼真的图像,增强小肠病理的可视化。这篇图片综述概述了主要小肠恶性肿瘤的CT影像学特征,包括腺癌、类癌、胃肠道间质瘤、淋巴瘤和肉瘤,并描述了CR在增强传统影像学方面的应用。CR改善了粘膜异常、肿瘤范围、血管受损伤和质地差异的可视化,潜在地提高了诊断的可信度,支持术前计划,促进了临床医生和患者之间的沟通。通过强调CR的附加价值,我们旨在为放射科医生提供识别小肠肿瘤的实用指导,并建议将先进的3D可视化技术整合到常规CT评估中,可以支持急性护理机构的及时诊断和管理。
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引用次数: 0
Artificial intelligence for fracture detection on computed tomography: a comprehensive systematic review and meta-analysis of diagnostic test accuracy in non-commercial and commercial solutions. 在计算机断层扫描上进行骨折检测的人工智能:对非商业和商业解决方案中诊断测试准确性的全面系统回顾和荟萃分析。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-07 DOI: 10.1007/s10140-026-02437-7
Julius Husarek, Anika M C Fuchss, Thomas D Ruder, Stavroula Mougiakakou, Aristomenis Exadaktylos, Katharina Wahedi, Martin Müller
<p><p>Rising patient volumes, the increasing use of computed tomography (CT) imaging in emergency departments and the resulting prolonged waiting times highlight the urgent need for efficient and accurate diagnostic tools, especially given that the number of experienced healthcare professionals is not increasing at the same pace. Artificial intelligence (AI) has emerged as a promising tool to support fracture detection on CT scans, with the potential to streamline diagnostic workflows in emergency care. However, concerns exist regarding dataset bias, limited external testing, and methodological variability. This systematic review and diagnostic test accuracy (DTA) meta-analysis aimed to comprehensively assess the diagnostic accuracy of AI-driven fracture detection solutions, with a particular focus on the effect of the testing strategy, cohort composition and commercial availability on diagnostic accuracy. The Cochrane Handbook for Systematic Reviews of DTA and reported according to PRISMA-DTA guidelines were followed. We systematically searched Embase, MEDLINE, Cochrane Library, Web of Science, and Google Scholar for studies published from January 2010 onward, complemented by citation chasing and manual searches for commercial AI fracture detection solutions (CAAI-FDS). Two reviewers independently conducted study selection, data extraction, and risk of bias assessment using a modified QUADAS-2 tool. Statistical analysis was conducted using STATA 18.1 and the -metadta- command. Primary analyses evaluated diagnostic accuracy (sensitivity and specificity) of stand-alone AI based on (1) cohort type (selected vs. unselected), (2) test dataset origin (internal vs. external), and (3) level of analysis (patient-wise, vertebra-wise, rib-wise). Secondary analyses explored accuracy differences according to (1) CAAI-FDS, (2) anatomical region and (3) reader type (stand-alone AI, human unaided, human aided by AI). Forest plots visualized results, and heterogeneity was measured using generalized I<sup>2</sup> statistics. Out of 7683 identified articles, 44 studies were included for meta-analysis. 14 CAAI-FDS were identified. Primary analyses of stand-alone AI showed moderate sensitivity (0.85, 95% CI: 0.77, 0.90) and good specificity (0.92, 95% CI: 0.87, 0.95) in unselected patient cohorts, whereas selected cohorts achieved slightly higher sensitivity (0.89, 95% CI: 0.80, 0.94). Diagnostic accuracy was higher when studies used internal test datasets (sensitivity 0.94, 95% CI: 0.88, 0.97; specificity 0.91, 95% CI: 0.86, 0.94) compared to external test datasets (sensitivity 0.85, 95% CI: 0,77, 0.91; specificity 0.92, 95% CI: 0.89, 0.95). Vertebra- and rib-wise analyses achieved higher specificity (0.98) compared to patient-wise analysis (0.92, 95% CI: 0.89, 0.95), although sensitivity remained moderate across all levels (0.85-0.89). Secondary analyses showed variability among CAAI-FDS (sensitivities 0.68-0.80; specificities 0.87-0.97) and by anatomical region,
患者数量的增加,急诊部门越来越多地使用计算机断层扫描(CT)成像,以及由此导致的等待时间的延长,突出了对高效和准确诊断工具的迫切需求,特别是考虑到经验丰富的医疗保健专业人员的数量并没有以同样的速度增长。人工智能(AI)已经成为一种有前途的工具,可以支持CT扫描的骨折检测,有可能简化急诊护理的诊断工作流程。然而,存在关于数据集偏差、有限的外部测试和方法可变性的担忧。本系统综述和诊断测试准确性(DTA)荟萃分析旨在全面评估人工智能驱动的骨折检测解决方案的诊断准确性,特别关注测试策略、队列组成和商业可用性对诊断准确性的影响。遵循Cochrane DTA系统评价手册,并根据PRISMA-DTA指南进行报告。我们系统地检索了Embase、MEDLINE、Cochrane Library、Web of Science和谷歌Scholar,检索了2010年1月以来发表的研究,并辅以引文追踪和人工搜索商业人工智能骨折检测解决方案(CAAI-FDS)。两位审稿人使用改进的QUADAS-2工具独立进行研究选择、数据提取和偏倚风险评估。使用STATA 18.1和- metadata -命令进行统计分析。初步分析评估了独立人工智能的诊断准确性(敏感性和特异性),基于(1)队列类型(选择与未选择),(2)测试数据集来源(内部与外部),以及(3)分析水平(患者方面,脊椎方面,肋骨方面)。二次分析探讨了(1)CAAI-FDS、(2)解剖区域和(3)读取器类型(独立AI、人工辅助、人工辅助)的准确率差异。森林样地可视化结果,并使用广义I2统计量测量异质性。在7683篇确定的文章中,44篇研究被纳入meta分析。共鉴定出14例CAAI-FDS。独立AI的初步分析显示,在未选择的患者队列中,中度敏感性(0.85,95% CI: 0.77, 0.90)和良好的特异性(0.92,95% CI: 0.87, 0.95),而选择的队列获得稍高的敏感性(0.89,95% CI: 0.80, 0.94)。当研究使用内部测试数据集(灵敏度0.94,95% CI: 0.88, 0.97;特异性0.91,95% CI: 0.86, 0.94)时,诊断准确性高于外部测试数据集(灵敏度0.85,95% CI: 0,77, 0.91;特异性0.92,95% CI: 0.89, 0.95)。与患者分析(0.92,95% CI: 0.89, 0.95)相比,椎体和肋骨分析获得了更高的特异性(0.98),尽管所有水平的敏感性仍然中等(0.85-0.89)。二级分析显示CAAI-FDS的敏感性(0.68-0.80;特异性0.87-0.97)和解剖区域存在差异,颅骨(0.90,95% CI: 0.85, 0.93)、肋骨(0.92,95% CI: 0.83, 0.96)和骨盆骨折(1.00)的敏感性最高,脊柱骨折(0.82,95% CI: 0.73, 0.88)的敏感性最低。独立的人工智能显示出中等到良好的诊断准确性,略优于没有帮助的人类读者,当人类得到人工智能的帮助时,进一步的改善微乎其微。虽然人工智能在骨折检测中显示出了有希望的诊断准确性,但研究偏差、严格的患者选择以及缺乏外部测试引发了人们对现实世界适用性的担忧。与综合研究结果相比,商业上可用的解决方案往往表现不佳,突出了研究环境与临床实践之间的差距。未来的努力应侧重于减少偏倚,提高普遍性和稳健性,并进行前瞻性试验,以评估人工智能对临床结果的真正影响。
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引用次数: 0
Computed tomography derived analytic morphomics as predictors of clinical outcomes in trauma: a systematic narrative review. 计算机断层扫描衍生的分析形态组学作为创伤临床结果的预测因子:一个系统的叙述回顾。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-07 DOI: 10.1007/s10140-026-02441-x
Ludolf G A De Kock, Ronan J Lee, David O Adebayo, Patrick D Mclaughin, Eanna MacSuibhne, Michael M Maher, David J Ryan

Medical imaging plays a central role in the management of trauma patients. Analytic morphomics (AM) through enabling measurement of specific biological markers of body composition from medical images is emerging as a potential tool to predict patient outcomes across multiple medical and surgical disciplines. We sought to provide a comprehensive review of the utility of AM in predicting outcomes in trauma patients. A systematic review with a narrative synthesis was conducted following the Preferred Reporting Items for Systematic Review and Meta-analyses (PRISMA) guidelines and checklists. PubMed, Embase, Scopus, The Cochrane Library as well as Web of Science and Trip database were searched for studies that assessed the relationship between computed tomography-based AM parameters and clinical outcomes in patients from a trauma cohort. Multiple AM domains, including lumbar muscle quantity and quality, adiposity, craniofacial measurements, and opportunistic bone mineral density (BMD), were consistently associated with adverse outcomes including mortality, length of stay, complications, and functional recovery. CT-derived AM metrics provide valuable prognostic information in trauma populations, extending beyond conventional measures such as chronological age and injury severity scores.Registration: PROSPERO Registration ID: CRD420251112652.

医学影像在创伤患者的治疗中起着核心作用。分析形态组学(AM)通过从医学图像中测量身体成分的特定生物标记物,正在成为预测多个医学和外科学科患者预后的潜在工具。我们试图对AM在预测创伤患者预后方面的应用进行全面回顾。按照系统评价和荟萃分析的首选报告项目(PRISMA)指南和清单进行了系统评价和叙述性综合评价。检索PubMed, Embase, Scopus, Cochrane Library以及Web of Science和Trip数据库,以评估基于计算机断层扫描的AM参数与创伤队列患者临床结果之间关系的研究。多个AM域,包括腰肌数量和质量、肥胖、颅面测量和机会性骨矿物质密度(BMD),始终与包括死亡率、住院时间、并发症和功能恢复在内的不良结果相关。ct衍生的AM指标在创伤人群中提供了有价值的预后信息,超出了传统的测量方法,如实足年龄和损伤严重程度评分。注册:普洛斯彼罗注册号:CRD420251112652。
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引用次数: 0
Ruptured intracranial dermoid cysts: Imaging at acute presentation and follow-up. 颅内皮样囊肿破裂:急性表现及随访。
IF 1.3 Q3 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING Pub Date : 2026-02-06 DOI: 10.1007/s10140-025-02433-3
Ritika Revoori, Joel Kevin Raj Samuel, Ajay K Singh

Purpose: Intracranial dermoid cysts are rare, benign congenital lesions that can rupture spontaneously, leading to dissemination of fatty contents within the subarachnoid or ventricular spaces. Though often asymptomatic, rupture can produce a range of neurological symptoms and distinct imaging features. We aim to evaluate the clinical presentation, imaging characteristics, and outcomes of patients with ruptured intracranial dermoid cysts.

Methods: We conducted a retrospective review of patients diagnosed with ruptured intracranial dermoid cysts at a tertiary academic medical center from July 1997 to July 2024. Rupture was confirmed by the presence of fat droplets in the CSF spaces on CT and/or MRI. Imaging findings were independently reviewed by two radiologists.

Results: Twenty-two patients (14 female, 8 male; mean age 51.7 years) met inclusion criteria. The most common presenting symptoms were headaches (31.8%). Imaging revealed intraventricular fat in 72.7% of cases and subarachnoid fat in 81.8%, with visible primary cysts in 31.8%. MRI findings included T1 hyperintense fat droplets in all cases, hypointense rims on T2 in 35% of cases, and susceptibility signal loss on SWI in 71%. Follow-up imaging (available in 14 cases) did not show complete resolution of fat droplets, though a reduction in the number of droplets was observed over time.

Conclusion: Ruptured intracranial dermoid cysts are rare but recognizable by their characteristic imaging features, particularly on T1-weighted MRI. While symptoms often improve, residual fat globules persist for years.

目的:颅内皮样囊肿是一种罕见的先天性良性病变,可自发破裂,导致脂肪内容物在蛛网膜下腔或心室间隙内扩散。虽然通常无症状,但破裂可产生一系列神经系统症状和明显的影像学特征。我们旨在评估颅内皮样囊肿破裂患者的临床表现、影像学特征和预后。方法:回顾性分析1997年7月至2024年7月在某三级学术医疗中心诊断为颅内皮样囊肿破裂的患者。脑脊液破裂在CT和/或MRI上被证实为脑脊液间隙中存在脂肪滴。影像学检查结果由两名放射科医生独立审查。结果:22例患者符合纳入标准,其中女性14例,男性8例,平均年龄51.7岁。最常见的症状是头痛(31.8%)。影像学显示72.7%的病例为脑室内脂肪,81.8%的病例为蛛网膜下腔脂肪,31.8%的病例可见原发性囊肿。MRI表现包括所有病例T1高强度脂肪滴,35%的病例T2低强度边缘,71%的病例SWI易感信号丢失。随访成像(有14例)没有显示脂肪滴的完全溶解,尽管随着时间的推移,观察到脂肪滴的数量减少。结论:颅内皮样囊肿破裂是罕见的,但可以通过其特有的影像学特征识别,特别是在t1加权MRI上。虽然症状通常会改善,但残留的脂肪球会持续数年。
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引用次数: 0
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Emergency Radiology
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