European Journal of Radiology最新文献_第2页

Prognostic value of functional MRI and liver function synergy in hepatocellular carcinoma patients receiving combined locoregional-systemic therapy: A multicenter scoring model 功能性MRI和肝功能协同在接受局部、区域和全身联合治疗的肝癌患者中的预后价值：一个多中心评分模型

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-28 DOI: 10.1016/j.ejrad.2026.112705

Langlang Tang , Kaiqian Que , Yanfen Lan , Yimin Li , Bin Wang , Zhuting Fang

Purpose

To develop and validate a prognostic model integrating pretreatment MRI features and clinical characteristics for hepatocellular carcinoma (HCC) patients undergoing transarterial chemoembolization (TACE) and hepatic arterial infusion chemotherapy (HAIC) combined targeted immunotherapy (TII). A weighted scoring system was developed to improve the model’s clinical utility.

Methods

We retrospectively recruited 141 patients with HCC from multiple centers, with 98 in the training cohort and 43 in the validation cohort. The independent predictors were identified using univariate and multivariate Cox regression analyses and developed a clinical nomogram. We constructed an 10-point weighted scoring system incorporating imaging features. Model performance was evaluated using AUC, decision curve analysis (DCA), and calibration curves assessed via bootstrapping.

Results

Logistic regression identified four risk factors for objective response (OR): irregular tumor border, absent of Intratumoral artery, albumin-bilirubin (ALBI) score ≥ -2.352, number ≥ 2, and tumor histopathological enhancement (THPE). The AUC was 0.804 in the training cohort and 0.580 in the validation cohort. The Akaike Information Criterion (AIC) for the scoring model was lower than the other model for predicting OR, progression-free survival (PFS), and overall survival (OS). Patients with a scoring model value > 5.5 points were classified as high-risk. The Kaplan-Meier (K-M) curves of the scoring model showed the better discriminative ability for PFS and OS.

Conclusion

The functional imaging-liver function synergy model demonstrates superior prognostic accuracy over conventional tumor burden parameters in hepatocellular carcinoma patients receiving quadruple therapy. Furthermore, the derived 10-point scoring system enables clinically actionable risk stratification.

目的建立并验证肝细胞癌（HCC）经动脉化疗栓塞（TACE）和肝动脉灌注化疗（HAIC）联合靶向免疫治疗（TII）的预后模型。开发了加权评分系统以提高模型的临床实用性。方法我们回顾性地从多个中心招募了141例HCC患者，其中98例为培训组，43例为验证组。使用单变量和多变量Cox回归分析确定独立预测因子，并制定临床nomogram。我们构建了一个包含影像特征的10分加权评分系统。采用AUC、决策曲线分析（DCA）和自举校准曲线评估模型性能。结果logistic回归分析确定了4个客观反应（OR）的危险因素：肿瘤边界不规则、瘤内动脉缺失、白蛋白-胆红素（ALBI）评分≥-2.352、数量≥2、肿瘤组织病理学增强（THPE）。训练组和验证组的AUC分别为0.804和0.580。评分模型的赤池信息标准（Akaike Information Criterion， AIC）在预测OR、无进展生存期（PFS）和总生存期（OS）方面低于其他模型。评分模型值为>； 5.5分的患者为高危患者。评分模型的Kaplan-Meier （K-M）曲线对PFS和OS有较好的判别能力。结论功能影像学-肝功能协同模型对肝细胞癌四联治疗患者预后的准确性优于常规肿瘤负荷参数。此外，衍生的10分评分系统使临床可操作的风险分层。

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引用次数: 0

Ultrasound dactylitis predicts bone erosion in early psoriatic arthritis: A longitudinal cohort study. 超声指突炎预测早期银屑病关节炎的骨质侵蚀：一项纵向队列研究。

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-28 DOI: 10.1016/j.ejrad.2026.112704

Qian Zhang, Cuilian Mao, Fengyun Lu, Yunjuan Wu, Yao Ke, Rui Liu

Objective: Bone erosion is a hallmark of progressive joint damage and poor prognosis in psoriatic arthritis (PsA). Early identification of high-risk patients is critical for implementing aggressive interventions that can mitigate inflammation and prevent irreversible structural joint damage. This study aimed to identify clinical and ultrasonographic features associated with bone erosion in patients with early PsA.

Methods: A total of 82 patients with early PsA with articular and/or the entheseal involvement of less than 6-month duration were prospectively enrolled from the Rheumatology Department of the First Affiliated Hospital with Nanjing Medical University between March 2022 and January 2025 and followed for 24 months. Data about demographic and clinical characteristics, clinical enthesitis and dactylitis, and medication were collected. Musculoskeletal ultrasound was performed at baseline and the 2-year visit.Inflammatory and structural changes were scored with the modified MAdrid Sonographic Enthesitis Index (MASEI) and Novel and reliable DACTylitis glObal Sonographic (DACTOS) score. Erosions were defined by two radiology experts based on at least two imaging techniques. Logistic regression analysis was performed to identify variables associated with bone erosion occurring within 2 years of initial diagnosis. This trial has been registered on ClinicalTrials.gov under identifier NCT06730334.

Results: Early PsA patients with bone erosion had later onset of the disease (40.70 ± 13.35 vs 32.33 ± 13.98, p = 0.008), higher proportion with metabolic syndrome (p = 0.043), a greater number of swollen joints at baseline (p = 0.029), and higher DACTOS scores (p = 0.026). Over the 24-month follow-up, a higher proportion of patients without bone erosion received IL-17 inhibitor therapy (p = 0.034). Multivariate analysis identified older age at symptom onset (OR 1.049, p = 0.012) and higher DACTOS score (OR 1.082, p = 0.036) as independent predictors of bone erosion.

Conclusion: Our findings establish that an older age at symptom onset and a higher ultrasonographic dactylitis burden, quantified by the DACTOS score, are independent risk factors for bone erosion in early PsA. This supports the integration of ultrasound into early risk stratification to identify patients at greater risk for structural damage.

目的：骨侵蚀是银屑病关节炎（PsA）进行性关节损伤和预后不良的标志。早期识别高风险患者对于实施积极的干预措施至关重要，这些干预措施可以减轻炎症并防止不可逆的结构性关节损伤。本研究旨在确定与早期PsA患者骨侵蚀相关的临床和超声特征。方法：前瞻性入选南京医科大学第一附属医院风湿病科于2022年3月至2025年1月期间，伴有关节和/或肺泡受累的早期PsA患者共82例，持续时间小于6个月，随访24个月。收集了人口学和临床特征、临床鼻炎和指突炎以及用药情况的资料。在基线和2年随访时进行肌肉骨骼超声检查。采用改良的马德里超声胸炎指数（MASEI）和新颖可靠的DACTylitis全球超声（DACTOS）评分对炎症和结构变化进行评分。侵蚀由两名放射学专家根据至少两种成像技术确定。进行Logistic回归分析以确定与首次诊断2年内发生骨侵蚀相关的变量。该试验已在ClinicalTrials.gov注册，识别码为NCT06730334。结果：骨质侵蚀的早期PsA患者发病较晚（40.70±13.35 vs 32.33±13.98,p = 0.008），代谢综合征比例较高（p = 0.043），基线时关节肿胀较多（p = 0.029）， DACTOS评分较高（p = 0.026）。在24个月的随访中，接受IL-17抑制剂治疗的无骨侵蚀患者比例较高（p = 0.034）。多因素分析发现，出现症状时年龄较大（OR 1.049, p = 0.012）和DACTOS评分较高（OR 1.082, p = 0.036）是骨侵蚀的独立预测因素。结论：我们的研究结果表明，症状发作时年龄较大和超声指炎负担较高（通过DACTOS评分量化）是早期PsA骨侵蚀的独立危险因素。这支持将超声整合到早期风险分层中，以识别结构损伤风险较大的患者。

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引用次数: 0

Automated 3D body composition analysis on chest CT scans for survival prediction in high-grade extremity soft tissue sarcomas. 胸部CT扫描的自动三维身体成分分析用于预测高级别肢体软组织肉瘤的生存。

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-28 DOI: 10.1016/j.ejrad.2026.112710

Mathis Rombaut, Nicolas Coquelet, Roberto Casale, Ayoub Mokhtari, Maria Antonietta Bali, Kevin Brou Boni, Felix Nensa, René Hosch, Katarzyna Borys, Riccardo De Angelis

Introduction: High-grade soft tissue sarcomas (STShg) of the extremities are rare cancers with a poor prognosis. Accurate staging at initial evaluation is crucial for determining optimal treatment. Current guidelines recommend systematic chest computed tomography (CT) scans during initial assessment. Recent advances in artificial intelligence (AI)-based imaging software now enable automatic, rapid volumetric assessment of body composition from CT scans. Our study aims to evaluate the predictive role of body composition features, obtained using a dedicated AI program, on overall survival (OS) and disease-free survival (DFS), using staging chest CT scans from patients diagnosed with extremity STShg.

Materials and methods: We conducted a single-center retrospective study at the Jules Bordet Institute, including patients diagnosed with extremity STShg between January 2010 and January 2023 who underwent CT scans covering the thoracic region. Using dedicated software, we performed automated 3D quantitative analysis of various anatomical compartments, including intramuscular adipose tissue (IMAT), pericardial adipose tissue (PAT), epicardial adipose tissue (EAT), and visceral adipose tissue (VAT). We assessed the association between body composition metrics and OS, DFS, local recurrence-free survival, and metastatic recurrence-free survival.

Results: Higher volumes of IMAT and PAT were associated with shorter OS, DFS, and local recurrence-free survival. Increased EAT volume correlated with reduced OS, while higher VAT volume was linked to worse OS and DFS.

Conclusion: Our study suggests a potential predictive role of specific body composition features, particularly IMAT, PAT, EAT, and VAT volumes, in the prognosis of extremity STShg.

四肢高级别软组织肉瘤（STShg）是一种罕见的癌症，预后较差。在初始评估时准确的分期对于确定最佳治疗至关重要。目前的指南建议在初始评估时进行系统的胸部计算机断层扫描（CT）。基于人工智能（AI）的成像软件的最新进展现在可以通过CT扫描对身体成分进行自动、快速的体积评估。我们的研究旨在通过对诊断为肢体STShg的患者进行分期胸部CT扫描，评估使用专用AI程序获得的身体成分特征对总生存期（OS）和无病生存期（DFS）的预测作用。材料和方法：我们在Jules bordt研究所进行了一项单中心回顾性研究，包括2010年1月至2023年1月期间诊断为四肢STShg的患者，他们接受了覆盖胸部区域的CT扫描。使用专用软件，我们对各种解剖区进行了自动3D定量分析，包括肌内脂肪组织（IMAT）、心包脂肪组织（PAT）、心外膜脂肪组织（EAT）和内脏脂肪组织（VAT）。我们评估了身体成分指标与OS、DFS、局部无复发生存期和转移性无复发生存期之间的关系。结果：较高的IMAT和PAT体积与较短的OS、DFS和局部无复发生存期相关。增加的EAT体积与降低的OS相关，而增加的VAT体积与更差的OS和DFS相关。结论：我们的研究表明，特定的身体成分特征，特别是IMAT、PAT、EAT和VAT体积，在四肢STShg的预后中具有潜在的预测作用。

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引用次数: 0

Dual-energy computed tomography angiography for lenticulostriate arteries: Stepwise optimization of virtual monochromatic imaging and kernel setting 双能计算机断层血管造影透镜状纹状动脉：逐步优化的虚拟单色成像和核设置

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-26 DOI: 10.1016/j.ejrad.2026.112694

Yangyang Yin , Qiuxia Wang , Zhihan Xu , Xudong Ai , Huan Liu , Haoyue Shao , Linhan Zhai , Shen Gui , Zhiwen Yang , Yu Chen , Baoyi Wang , Jing Zhang

Background

The lenticulostriate arteries (LSAs) are critical perforating vessels, but conventional CTA poorly depicts them. Dual-Energy CT offers Virtual Monochromatic Imaging and kernel adjustment, yet the optimal strategy for LSAs visualization remains unclear.

Materials and Methods

This retrospective study included 556 patients (59 [46–72] years; 310 males [55.8%]) who underwent DE-CTA between May 2023 to July 2024. Images were reconstructed Virtual Monochromatic Imaging at 40–90 KeV and multiple convolution kernels (Qr40, Hv36, Hv40, Hv44, and Hv49). Step 1 compared image quality across KeV levels, and Step 2 optimized kernels on the basis of the best KeV and compared these optimized reconstructions again. Quantitative metrics included CT value, SNR, CNR, edge rise distance, and edge rise slope; qualitative assessment and visible LSAs branch counts were performed.

Results

Step 1 demonstrated significant differences in CT value, and CNR across KeV levels (all p < 0.001), with 40 KeV yielding the highest CT value and CNR and the best subjective scores for artery branches visualization. Step 2 showed that sharper kernels significantly improved ERS and reduced ERD, with Hv49-40 KeV achieving the greatest edge sharpness (ERS, 10374.4 [7407.0–13341.9]; ERD, 0.10 [0.08–0.13]) and the highest number of visible LSAs branches (6.5 [2.5–10.5]; all adjusted p < . 001).

Conclusion

Hv49-40KeV on DE‑CTA of the head and neck substantially improves the visualization of arteries across different calibers, with a marked enhancement in the depiction of the LSAs, providing a solid technical foundation for the evaluation of LSAs with DE‑CT.

Relevance statement

This optimized Dual Energy-CT angiography reconstruction increases the utility of head and neck CTA by improving lenticulostriate artery visualization, thereby supporting routine evaluation of both large and small cerebral vessels in clinical practice.

背景：透镜状纹状动脉（LSAs）是重要的穿孔血管，但传统的CTA不能很好地描述它们。双能CT提供了虚拟单色成像和核调整，但LSAs可视化的最佳策略尚不清楚。材料与方法回顾性研究纳入556例于2023年5月至2024年7月行DE-CTA手术的患者（59例[46-72]岁，男性310例[55.8%]）。在40-90 KeV和多个卷积核（Qr40、Hv36、Hv40、Hv44和Hv49）下重建图像。步骤1比较不同KeV级别的图像质量，步骤2根据最佳KeV优化内核，并再次比较这些优化后的重建。定量指标包括CT值、信噪比、北比、边缘上升距离、边缘上升斜率；定性评估和可见LSAs分支计数。结果第1步显示了不同KeV水平的CT值和CNR的显著差异（均p <； 0.001）， 40 KeV产生最高的CT值和CNR，以及动脉分支可视化的最佳主观评分。步骤2显示，更锋利的核可以显著提高ERS并降低ERD， Hv49-40 KeV的边缘清晰度最大（ERS, 10374.4 [7407.0-13341.9]； ERD, 0.10[0.08-0.13]），可见lsa分支数最多(6.5[2.5-10.5]，均经过调整p <；001)。结论hv49 - 40kev在头颈部DE - CTA上显著改善了不同口径动脉的可视化，对lsa的描绘有明显增强，为DE - CT评价lsa提供了坚实的技术基础。该优化的双能量ct血管成像重建通过改善纹状体动脉的显像，提高了头颈部CTA的实用性，从而在临床实践中支持对大脑血管和小脑血管的常规评估。

{"title":"Dual-energy computed tomography angiography for lenticulostriate arteries: Stepwise optimization of virtual monochromatic imaging and kernel setting","authors":"Yangyang Yin , Qiuxia Wang , Zhihan Xu , Xudong Ai , Huan Liu , Haoyue Shao , Linhan Zhai , Shen Gui , Zhiwen Yang , Yu Chen , Baoyi Wang , Jing Zhang","doi":"10.1016/j.ejrad.2026.112694","DOIUrl":"10.1016/j.ejrad.2026.112694","url":null,"abstract":"<div><h3>Background</h3><div>The lenticulostriate arteries (LSAs) are critical perforating vessels, but conventional CTA poorly depicts them. Dual-Energy CT offers Virtual Monochromatic Imaging and kernel adjustment, yet the optimal strategy for LSAs visualization remains unclear.</div></div><div><h3>Materials and Methods</h3><div>This retrospective study included 556 patients (59 [46–72] years; 310 males [55.8%]) who underwent DE-CTA between May 2023 to July 2024. Images were reconstructed Virtual Monochromatic Imaging at 40–90 KeV and multiple convolution kernels (Qr40, Hv36, Hv40, Hv44, and Hv49). Step 1 compared image quality across KeV levels, and Step 2 optimized kernels on the basis of the best KeV and compared these optimized reconstructions again. Quantitative metrics included CT value, SNR, CNR, edge rise distance, and edge rise slope; qualitative assessment and visible LSAs branch counts were performed.</div></div><div><h3>Results</h3><div>Step 1 demonstrated significant differences in CT value, and CNR across KeV levels (all <em>p</em> < 0.001), with 40 KeV yielding the highest CT value and CNR and the best subjective scores for artery branches visualization. Step 2 showed that sharper kernels significantly improved ERS and reduced ERD, with Hv49-40 KeV achieving the greatest edge sharpness (ERS, 10374.4 [7407.0–13341.9]; ERD, 0.10 [0.08–0.13]) and the highest number of visible LSAs branches (6.5 [2.5–10.5]; all adjusted <em>p</em> < . 001).</div></div><div><h3>Conclusion</h3><div>Hv49-40KeV on DE‑CTA of the head and neck substantially improves the visualization of arteries across different calibers, with a marked enhancement in the depiction of the LSAs, providing a solid technical foundation for the evaluation of LSAs with DE‑CT.</div></div><div><h3>Relevance statement</h3><div>This optimized Dual Energy-CT angiography reconstruction increases the utility of head and neck CTA by improving lenticulostriate artery visualization, thereby supporting routine evaluation of both large and small cerebral vessels in clinical practice.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112694"},"PeriodicalIF":3.3,"publicationDate":"2026-01-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074525","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

Letter to Editor: Correlation between MRI-derived and biopsy-confirmed liver iron concentration in patients with chronic liver disease. 致编辑的信：慢性肝病患者mri来源和活检证实的肝铁浓度之间的相关性。

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-25 DOI: 10.1016/j.ejrad.2026.112701

Sari Luthfiyah, Triwiyanto Triwiyanto, Luthfi Rusyadi, Mohammed Ismath

We comment on Ba-Ssalamah et al.'s study comparing MRI-derived and biopsy-confirmed liver iron concentration in chronic liver disease. The strong agreement between two R2*-based methods supports the robustness of relaxometry-based LIC estimation in the low-mild iron range. We discuss physics-related considerations, including R2* nonlinearity, spatial sampling, signal modeling, and calibration dependence, and outline future directions toward volumetric mapping and cross-platform harmonization for quantitative liver MRI.

我们对Ba-Ssalamah等人比较慢性肝病中mri来源和活检证实的肝铁浓度的研究发表评论。两种基于R2*的方法之间的强一致性支持了基于弛豫测量的LIC估计在低轻度铁范围内的鲁棒性。我们讨论了与物理相关的考虑，包括R2*非线性、空间采样、信号建模和校准依赖，并概述了定量肝脏MRI的体积测绘和跨平台协调的未来方向。

引用次数: 0

Discriminating orbital lymphoma from inflammation and correlating with histopathology using microstructure-based time-dependent diffusion MRI 鉴别眼眶淋巴瘤与炎症及与组织病理学相关的显微结构时间依赖扩散MRI

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-25 DOI: 10.1016/j.ejrad.2026.112699

Hangzhi Liu , Yingzhu Zhao , Jing Li , Xiaoxia Qu , Tianying Ma , Chen Zhang , Thorsten Feiweier , Xinyan Wang , Junfang Xian

Background

Preoperative discrimination between orbital B-cell lymphoma and inflammatory lesions remains a significant challenge using conventional imaging. This study evaluates the potential of time-dependent diffusion MRI (td-dMRI) alongside diffusion-weighted imaging (DWI) to improve differential diagnosis.

Methods

Patients with suspected orbital tumors were prospectively enrolled between October 2023 and November 2024. All participants underwent td-dMRI using oscillating gradient spin-echo (OGSE) and pulsed gradient spin-echo (PGSE) sequences on a 3 T scanner. Microstructural parameters—including cell diameter (d), cellularity, extracellular diffusivity (Dex), and intracellular volume fraction (Vin)—were derived. Correlations between apparent diffusion coefficient (ADC), d, cellularity, and histopathological metrics were assessed through quantitative morphometric analysis. Diagnostic performance was evaluated using receiver operating characteristic (ROC) analysis.

Results

Forty-eight patients were enrolled (20 orbital MALT lymphoma, 28 inflammatory lesions). All parameters showed excellent interobserver agreement (ICCs: 0.82–0.93). Strong correlations were observed between histological cell diameter and d (r = 0.75), and between histological cellularity and both td-dMRI-derived cellularity (r = 0.71) and ADC (r = -0.74) (all p < 0.001). Lymphomas exhibited significantly lower ADC, d, and Dex, and higher Vin and cellularity compared to inflammatory lesions (all p < 0.01). Cellularity demonstrated the highest discriminative power (AUC = 0.87), followed by Vin (AUC = 0.82), while ADC showed moderate performance (AUC = 0.74). No significant differences in diagnostic efficacy were observed among the parameters.

Conclusions

The td-dMRI provides highly reproducible, histologically correlated biomarkers that effectively differentiate orbital lymphoma from inflammatory lesions, thereby enabling orbital lesion risk-stratification and providing valuable non-invasive characterization to complement conventional ADC-based assessment for preoperative diagnosis of orbital lesions.

背景术前鉴别眼眶b细胞淋巴瘤和炎性病变仍然是传统影像学的一个重大挑战。本研究评估了时间依赖性弥散MRI （td-dMRI）与弥散加权成像（DWI）在改善鉴别诊断方面的潜力。方法于2023年10月至2024年11月期间前瞻性纳入疑似眼眶肿瘤患者。所有参与者在3t扫描仪上使用振荡梯度自旋回波（OGSE）和脉冲梯度自旋回波（PGSE）序列进行td-dMRI。显微结构参数-包括细胞直径(d)，细胞度，细胞外扩散率（Dex）和细胞内体积分数(Vin) -被导出。通过定量形态学分析评估表观扩散系数（ADC）、d、细胞结构和组织病理学指标之间的相关性。采用受试者工作特征（ROC）分析评估诊断效果。结果48例患者入组，其中眼眶MALT淋巴瘤20例，炎性病变28例。所有参数在观察者间均表现出良好的一致性（ICCs: 0.82-0.93）。组织学细胞直径与d之间存在强相关性（r = 0.75），组织学细胞质量与td- dmri衍生的细胞质量（r = 0.71）和ADC之间存在强相关性（r = -0.74）（均p <； 0.001）。与炎性病变相比，淋巴瘤表现出较低的ADC、d和Dex，以及较高的Vin和细胞结构（均p <； 0.01）。细胞的鉴别能力最高（AUC = 0.87），其次是Vin (AUC = 0.82)， ADC的鉴别能力中等（AUC = 0.74）。各参数的诊断效能无显著差异。结论：td-dMRI提供了高度可重复性、组织学相关的生物标志物，可有效区分眼眶淋巴瘤和炎性病变，从而实现眼眶病变风险分层，并提供有价值的非侵入性表征，补充了传统的基于adc的眼眶病变术前诊断评估。

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引用次数: 0

Feasibility study of fast T2-weighted imaging with deep-learning reconstruction in volunteers and emergency patients with acute abdomen 基于深度学习重建的快速t2加权成像在志愿者和急腹症患者中的可行性研究

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-25 DOI: 10.1016/j.ejrad.2026.112697

Jia Xu , Liang Zhu , Wei Liu , Wenjing Liu , Yitong Lu , Jingjuan Liu , Chenxue Ma , Yifei Zhang , Xuan Wang , Feng Feng

Purpose

To evaluate the image quality and clinical utility of DLR-enhanced single-shot fast spin-echo (SSFSE) T2-weighted imaging (T2WI) for diagnosing acute abdominal conditions, compared to standard SSFSE and Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) T2WI sequences.

Methods

This prospective single-institutional study enrolled 70 participants (35 healthy volunteers and 35 patients with acute abdominal pain). Abdominopelvic MRI were performed, including SSFSE and PROPELLER sequences. SSFSE images were reconstructed with and without deep-learning algorithm. Three radiologists independently evaluated image quality and target organ conditions. The Friedman test was used to compare image quality across sequences. The diagnostic performance for identifying disorders (e.g., cholecystitis, appendicitis, etc.) was assessed using the area under receiver operating characteristic curves (AUCs) and compared using the Delong method. Three pregnant women and one elderly patient who underwent SSFSE protocols only were also analyzed.

Results

SSFSE-DLR demonstrated significantly higher image quality and lower noise than SSFSE and PROPELLER across all imaging planes (p < 0.05). It exhibited fewer motion artifacts and superior clarity of the appendix, gallbladder, and common bile duct compared to PROPELLER (p < 0.05). SSFSE-DLR achieved higher diagnostic accuracy for common acute abdominopelvic disorders (AUCs: 0.977–1.0), compared to SSFSE and PROPELLER (AUCs: 0.887–1.00 and 0.585–0.953, respectively, p < 0.05). In vulnerable patients with fast protocol, SSFSE-DLR identified one appendicitis missed by ultrasound, enabling timely surgery.

Conclusion

SSFSE-DLR significantly improves image quality and diagnostic accuracy in healthy volunteers and patients with acute abdomen.

目的评价dlr增强单次快速自旋回波（SSFSE） t2加权成像（T2WI）诊断急腹症的图像质量和临床应用，并与标准SSFSE和周期性旋转重叠平行线增强重建（PROPELLER） T2WI序列进行比较。方法本前瞻性单机构研究纳入70名参与者（35名健康志愿者和35名急性腹痛患者）。进行了腹部骨盆MRI，包括SSFSE和PROPELLER序列。分别用深度学习算法和不使用深度学习算法重建SSFSE图像。三位放射科医生独立评估图像质量和靶器官状况。弗里德曼检验用于比较序列间的图像质量。采用受试者工作特征曲线下面积（auc）评估对疾病（如胆囊炎、阑尾炎等）的诊断性能，并采用Delong方法进行比较。还分析了仅接受SSFSE方案的3名孕妇和1名老年患者。结果SSFSE- dlr在各成像平面上的成像质量显著高于SSFSE和PROPELLER （p < 0.05）。与PROPELLER相比，它表现出更少的运动伪影和更清晰的阑尾、胆囊和胆总管（p < 0.05）。SSFSE- dlr对常见急性盆腔疾病的诊断准确率（auc: 0.977-1.0）高于SSFSE和PROPELLER （auc: 0.887-1.00和0.585-0.953,p < 0.05）。在快速方案的易感患者中，SSFSE-DLR识别出1例超声未发现的阑尾炎，及时手术。结论ssfse - dlr可显著提高健康志愿者和急腹症患者的图像质量和诊断准确率。

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引用次数: 0

Deep learning outperformed radiomics based on MRI in the differentiation of sinonasal small round cell and non-small round cell malignant tumors 在鼻腔小圆细胞和非小圆细胞恶性肿瘤的鉴别上，深度学习优于基于MRI的放射组学

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-25 DOI: 10.1016/j.ejrad.2026.112700

Yuchen Wang , Xiaoxia Qu , Zheng Li , Dinggang Shen , Junfang Xian

Objective

Differentiating sinonasal small round cell malignant tumors (SRCMTs) from non-SRCMTs is challenging due to overlapping MRI features. This study aimed to compare the diagnostic performance of deep learning and radiomics models for preoperative MRI-based classification.

Methods

We retrospectively analyzed 325 patients with pathologically confirmed sinonasal malignancies (163 SRCMTs and 162 non-SRCMTs). Each patient underwent T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), and contrast-enhanced T1-weighted imaging (CE-T1WI). Tumors were manually segmented. Five convolutional neural networks (CNNs)—ResNet-18, ResNet-34, ResNet-50, VGG13, and VGG16—were trained on each sequence. For radiomics, 1200 features were extracted per sequence, and multiple machine learning classifiers were trained. Model performance was assessed by area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The DeLong test was used to compare AUCs between models, with statistical significance set at P < 0.05.

Results

The CE-T1WI-based ResNet-34 model achieved the best performance, with an average AUC of 0.830, the accuracy of 0.755, sensitivity of 0.918, specificity of 0.592, PPV of 0.692, and NPV of 0.879. The corresponding CE-T1WI-based radiomics model using a support vector machine yielded an AUC of 0.758 (accuracy = 0.755, sensitivity = 0.840, specificity = 0.667, PPV = 0.724, NPV = 0.800). On the independent test cohort, ResNet-34 showed numerically higher discriminative performance than the radiomics model, although this difference did not reach statistical significance. For T1WI and T2WI, deep learning and radiomics models demonstrated broadly comparable performance.

Conclusions

A CE-T1WI-based ResNet-34 network provided high diagnostic efficacy, and in our cohort deep learning models achieved numerically higher comparable performance to MRI-based radiomics models for differentiating SRCMTs from non-SRCMTs.

目的鼻腔小圆细胞恶性肿瘤（SRCMTs）与非SRCMTs的MRI特征重叠，具有挑战性。本研究旨在比较深度学习和放射组学模型在术前mri分类中的诊断性能。方法回顾性分析325例经病理证实的鼻窦恶性肿瘤患者（163例SRCMTs和162例非SRCMTs）。每位患者均行t1加权成像（T1WI）、t2加权成像（T2WI）和对比增强t1加权成像（CE-T1WI）检查。手工分割肿瘤。在每个序列上训练5个卷积神经网络（cnn）——resnet -18、ResNet-34、ResNet-50、VGG13和vgg16。对于放射组学，每个序列提取1200个特征，并训练多个机器学习分类器。通过受试者工作特征曲线下面积（AUC）、准确性、敏感性、特异性、阳性预测值（PPV）和阴性预测值（NPV）评估模型的性能。模型间auc比较采用DeLong检验，差异有统计学意义P <； 0.05。结果基于ce - t1wi的ResNet-34模型表现最佳，平均AUC为0.830，准确率为0.755，灵敏度为0.918，特异性为0.592，PPV为0.692，NPV为0.879。相应的基于ce - t1wi的支持向量机放射组学模型的AUC为0.758（准确性= 0.755，灵敏度= 0.840，特异性= 0.667,PPV = 0.724, NPV = 0.800）。在独立测试队列中，ResNet-34在数值上表现出比放射组学模型更高的判别性能，尽管这种差异没有达到统计学意义。对于T1WI和T2WI，深度学习和放射组学模型表现出大致相当的性能。结论基于ce - t1wi的ResNet-34网络具有较高的诊断效能，在我们的队列中，深度学习模型在区分srcmt和非srcmt方面取得了比基于mri的放射组学模型更高的数值可比性能。

{"title":"Deep learning outperformed radiomics based on MRI in the differentiation of sinonasal small round cell and non-small round cell malignant tumors","authors":"Yuchen Wang , Xiaoxia Qu , Zheng Li , Dinggang Shen , Junfang Xian","doi":"10.1016/j.ejrad.2026.112700","DOIUrl":"10.1016/j.ejrad.2026.112700","url":null,"abstract":"<div><h3>Objective</h3><div>Differentiating sinonasal small round cell malignant tumors (SRCMTs) from non-SRCMTs is challenging due to overlapping MRI features. This study aimed to compare the diagnostic performance of deep learning and radiomics models for preoperative MRI-based classification.</div></div><div><h3>Methods</h3><div>We retrospectively analyzed 325 patients with pathologically confirmed sinonasal malignancies (163 SRCMTs and 162 non-SRCMTs). Each patient underwent T1-weighted imaging (T1WI), T2-weighted imaging (T2WI), and contrast-enhanced T1-weighted imaging (CE-T1WI). Tumors were manually segmented. Five convolutional neural networks (CNNs)—ResNet-18, ResNet-34, ResNet-50, VGG13, and VGG16—were trained on each sequence. For radiomics, 1200 features were extracted per sequence, and multiple machine learning classifiers were trained. Model performance was assessed by area under the receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV). The DeLong test was used to compare AUCs between models, with statistical significance set at P < 0.05.</div></div><div><h3>Results</h3><div>The CE-T1WI-based ResNet-34 model achieved the best performance, with an average AUC of 0.830, the accuracy of 0.755, sensitivity of 0.918, specificity of 0.592, PPV of 0.692, and NPV of 0.879. The corresponding CE-T1WI-based radiomics model using a support vector machine yielded an AUC of 0.758 (accuracy = 0.755, sensitivity = 0.840, specificity = 0.667, PPV = 0.724, NPV = 0.800). On the independent test cohort, ResNet-34 showed numerically higher discriminative performance than the radiomics model, although this difference did not reach statistical significance. For T1WI and T2WI, deep learning and radiomics models demonstrated broadly comparable performance.</div></div><div><h3>Conclusions</h3><div>A CE-T1WI-based ResNet-34 network provided high diagnostic efficacy, and in our cohort deep learning models achieved numerically higher comparable performance to MRI-based radiomics models for differentiating SRCMTs from non-SRCMTs.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112700"},"PeriodicalIF":3.3,"publicationDate":"2026-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074551","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

MRI features of molecular glioblastoma: morphological and advanced imaging insights 分子胶质母细胞瘤的MRI特征：形态学和高级影像学见解

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-23 DOI: 10.1016/j.ejrad.2026.112692

Margaux Roques , Kevin Pimentel , Aurore Siegfried-Vergnon , Elizabeth Moyal , Caroline Zerbib , Amaury de Barros , Magali Raveneau , Delphine Dghayem , Fabrice Bonneville

Objective

IDH-wildtype diffuse gliomas with molecular features of glioblastoma (mGBM) were integrated into the GBM category in the 2021 WHO classification, yet their MRI characteristics remain poorly described. This study aimed to detail morphological and advanced MRI features of mGBM to improve diagnostic accuracy and management.

Methods

MRI scans (1.5 T or 3 T) of 72 patients with histomolecularly confirmed mGBM were retrospectively reviewed. Two neuroradiologists analyzed morphological features (necrosis, contrast enhancement, FLAIR pattern, multilobar involvement) and advanced imaging findings (diffusion, perfusion).

Results

Mean patient age was 63 years. mGBMs showed a broad spectrum of MRI appearances, from grade 2-like (39%) to grade 4-like (26%). Infiltrative FLAIR hyperintensity was nearly constant, frequently with multilobar involvement (65%). Contrast enhancement was absent in 39% or faint/limited when present, often mimicking lower-grade gliomas. Gyriform cortical infiltration sparing white matter was seen in 15% of cases, less than previously reported. Advanced imaging showed diffusion restriction in 64% and elevated rCBV (>1.75) in 88% of cases with perfusion data, leading to reclassification of 22% of morphologically grade 2-like lesions as grade 3-like.

Conclusion

mGBMs often mimic low-grade gliomas, exposing patients to underdiagnosis and treatment delays. However, infiltrative FLAIR abnormalities, multilobar involvement, diffusion restriction, or increased perfusion should raise suspicion, particularly in older patients. This cohort describing both morphological and advanced MRI features of mGBM provides practical imaging criteria to enhance early recognition in routine practice.

具有胶质母细胞瘤分子特征的idh -野生型弥漫性胶质瘤（mGBM）在2021年WHO分类中被纳入GBM类别，但其MRI特征仍然缺乏描述。本研究旨在详细介绍mGBM的形态学和高级MRI特征，以提高诊断准确性和管理。方法回顾性分析72例经组织分子学证实的mGBM患者的smri扫描（1.5 T或3t）。两名神经放射学家分析了形态学特征（坏死、对比增强、FLAIR模式、多叶受累）和高级影像学表现（扩散、灌注）。结果患者平均年龄63岁。mGBMs表现为广谱MRI表现，从2级样（39%）到4级样（26%）。浸润性FLAIR高强度几乎不变，经常累及多叶（65%）。39%的患者没有增强或有增强时微弱/受限，常表现为低级别胶质瘤。脑回状皮层浸润保留白质的病例占15%，比以前报道的少。高级影像学显示64%的患者弥散受限，88%有灌注数据的患者rCBV升高（>1.75），导致22%形态学上2级样病变重新分类为3级样。结论mgbms通常与低级别胶质瘤相似，使患者面临诊断不足和治疗延误的风险。然而，浸润性FLAIR异常、多叶受累、扩散受限或灌注增加应引起怀疑，特别是在老年患者中。该队列描述了mGBM的形态学和高级MRI特征，为日常实践中的早期识别提供了实用的成像标准。

{"title":"MRI features of molecular glioblastoma: morphological and advanced imaging insights","authors":"Margaux Roques , Kevin Pimentel , Aurore Siegfried-Vergnon , Elizabeth Moyal , Caroline Zerbib , Amaury de Barros , Magali Raveneau , Delphine Dghayem , Fabrice Bonneville","doi":"10.1016/j.ejrad.2026.112692","DOIUrl":"10.1016/j.ejrad.2026.112692","url":null,"abstract":"<div><h3>Objective</h3><div>IDH-wildtype diffuse gliomas with molecular features of glioblastoma (mGBM) were integrated into the GBM category in the 2021 WHO classification, yet their MRI characteristics remain poorly described. This study aimed to detail morphological and advanced MRI features of mGBM to improve diagnostic accuracy and management.</div></div><div><h3>Methods</h3><div>MRI scans (1.5 T or 3 T) of 72 patients with histomolecularly confirmed mGBM were retrospectively reviewed. Two neuroradiologists analyzed morphological features (necrosis, contrast enhancement, FLAIR pattern, multilobar involvement) and advanced imaging findings (diffusion, perfusion).</div></div><div><h3>Results</h3><div>Mean patient age was 63 years. mGBMs showed a broad spectrum of MRI appearances, from grade 2-like (39%) to grade 4-like (26%). Infiltrative FLAIR hyperintensity was nearly constant, frequently with multilobar involvement (65%). Contrast enhancement was absent in 39% or faint/limited when present, often mimicking lower-grade gliomas. Gyriform cortical infiltration sparing white matter was seen in 15% of cases, less than previously reported. Advanced imaging showed diffusion restriction in 64% and elevated rCBV (>1.75) in 88% of cases with perfusion data, leading to reclassification of 22% of morphologically grade 2-like lesions as grade 3-like.</div></div><div><h3>Conclusion</h3><div>mGBMs often mimic low-grade gliomas, exposing patients to underdiagnosis and treatment delays. However, infiltrative FLAIR abnormalities, multilobar involvement, diffusion restriction, or increased perfusion should raise suspicion, particularly in older patients. This cohort describing both morphological and advanced MRI features of mGBM provides practical imaging criteria to enhance early recognition in routine practice.</div></div>","PeriodicalId":12063,"journal":{"name":"European Journal of Radiology","volume":"196 ","pages":"Article 112692"},"PeriodicalIF":3.3,"publicationDate":"2026-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146074616","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

Quantitative assessment of lung density and developmental patterns in preterm infants using three-dimensional ultrashort echo time MRI (UTE-MRI) 使用三维超短回波时间MRI （UTE-MRI）定量评估早产儿肺密度和发育模式。

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology

Pub Date : 2026-01-22 DOI: 10.1016/j.ejrad.2026.112696

Yujie Chen , Yan Sun , Yu Song , Yi Liao , Xuesheng Li , Xijian Chen , Gang Ning

Background

Three-dimensional ultrashort echo time (3D-UTE) MRI enables proton-density assessment of lung parenchyma without radiation. We aimed to evaluate the feasibility of 3D-UTE for quantifying lung density of preterm infants and characterize gestational-age (GA)-dependent developmental patterns.

Methods

101 infants (1 day-24 months) were enrolled as extremely-to-very preterm (EVP, <32 weeks, n = 33), moderate-to-late preterm (MLP, 32–<37 weeks, n = 34), and full-term (FT, 37–42 weeks, n = 34). Lung protocol including 3D-UTE, 3D-GRE (gradient-echo) and T2-FSE (fast spin-echo) sequences were used. Image quality was assessed qualitatively and quantitatively. Lung density was quantified using UTE-derived lung-to-muscle ratios (LMRs), and group differences and age-related patterns were evaluated.

Results

UTE-MRI provided superior visualization of lung structure with significantly higher signal-to-noise and contrast-to-noise ratios. Lung-to-muscle ratios demonstrated a consistent anterior–posterior gradient (R² = 0.582, p < 0.001) and decreased with lower gestational age (LMR-total: FT 50.8 ± 9.7; MLP 48.7 ± 7.6; EVP 45.1 ± 7.6), with EVP significantly lower than FT (p < 0.05). Within the first year of life, age-related analyses revealed distinct developmental patterns across gestational age groups.

Conclusions

UTE-MRI enables radiation-free quantification of lung density. UTE-MRI-derived lung-to-muscle ratios provide a radiation-free biomarker of preterm lung structural deficits and support risk-adapted follow-up.

背景：三维超短回波时间（3D-UTE） MRI可以在没有辐射的情况下评估肺实质的质子密度。我们的目的是评估3D-UTE量化早产儿肺密度的可行性，并表征胎龄（GA）依赖的发育模式。方法：101例极至极早产儿（EVP）（1天至24个月）入组。结果：UTE-MRI提供了优越的肺部结构可视化，信噪比和对比噪声比显着提高。肺与肌肉比值显示出一致的前后梯度（R2 = 0.582, p）。结论：UTE-MRI可以实现肺密度的无辐射量化。ute - mri衍生的肺与肌肉比率提供了一种无辐射的早产儿肺结构缺陷生物标志物，并支持风险适应随访。

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引用次数: 0